Anthropic is a U.S.-based artificial intelligence (AI) research and development company founded by former OpenAI members. Specializing in language models and information systems, Anthropic is committed to advancing AI with a strong focus on responsible and ethical use. The company offers career opportunities for ML engineers, software engineers and research engineers to help shape the future of trustworthy AI technology.

anthropic

<div class="content-intro"><h2><strong>About Anthropic</strong></h2>
<p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2><strong>About the role</strong></h2>
<p>Every dollar Anthropic earns and every dollar it spends on compute has to reach the books correctly, and the volume grows with Claude usage. That data comes from across the company and from partners: usage and billing, compute, infrastructure assets, leases. Products and pricing models keep launching, and each one adds another path into the books. Our goal is a continuous close with zero material issues, with audit-grade controls.</p>
<p>You’ll build the platform that gets us there: one front door for every finance event, an append-only ledger, and an accounting engine that posts each event exactly once. This is a distributed systems problem with an unusually high correctness bar. The system has to be right to the cent, replay cleanly and explain any number as of any date, at that volume. You will shape its architecture. Its users include Claude agents, which read and write through the same APIs and controls as people.</p>
<p>You’ll work closely with SWEs in Billing, Compute and Infra on shared contracts and APIs, and with product owners, finance operations and internal audit to turn accounting and controls requirements into designs. You don’t need a finance background. If you have built backend systems where correctness matters, we will teach you the domain.</p>
<h2><strong>Responsibilities</strong></h2>
<ul>
<li>Design and build the front door into finance and its governed contracts: APIs for apps and agents, an event bus for systems that publish, adapters for vendor apps and reports, data-quality gates, and processing that posts every event exactly once, with replay and backfill</li>
<li>Drive the build of the accounting ledger and engine: an append-only ledger with idempotent posting, a rules framework that turns business events into journal entries, translation into the ERP, and period locks</li>
<li>Design and build the SDKs and frameworks that finance apps and agents build on</li>
<li>Build controls into the platform as code: immutable audit trail, maker-checker, scoped access and segregation of duties</li>
<li>Build and run the production services that other engineering teams call in real time, such as the tax and collections services in the billing flow, and own their reliability: uptime, latency, throughput and correctness targets agreed with those teams</li>
<li>Shape the platform’s technical direction: architecture, engineering standards and design reviews</li>
</ul>
<h2><strong>Minimum qualifications</strong></h2>
<ul>
<li>Strong backend engineering in a statically typed language such as Go, Java or Rust, or Python at scale</li>
<li>Experience designing and running high-volume, event-driven systems (publish/subscribe, streaming) with idempotent processing, replay and backfill</li>
<li>Experience designing relational data models and writing SQL for complex, versioned data</li>
<li>Experience designing APIs, SDKs and service-to-service integrations used by other teams</li>
<li>Experience building systems with auditability, access control or compliance requirements</li>
<li>Experience turning requirements from non-engineering partners into technical designs</li>
<li>Strong written and verbal communication, including design docs</li>
</ul>
<h2><strong>Preferred qualifications</strong></h2>
<ul>
<li>10+ years of experience</li>
<li>Experience building developer platforms or paved paths</li>
<li>Experience with streaming systems such as Pub/Sub or Kafka</li>
<li>Experience building with LLMs and agents, including MCP</li>
<li>Built a ledger, sub-ledger, billing or payments system</li>
<li>Familiarity with accounting concepts: double-entry, journal entries</li>
<li>Familiarity with internal controls and audit concepts: audit trails, segregation of duties, change management</li>
<li>Exposure to ERP or financial systems, such as Workday Financials</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below.&nbsp;</p>
<p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$320,000</span><span class="divider">&mdash;</span><span>$405,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2>
<p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>
<p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;<u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u>&nbsp;directly for confirmed position openings.</p>
<h2><strong>How we're different</strong></h2>
<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2><strong>Come work with us!</strong></h2>
<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong>&nbsp;Learn about&nbsp;<a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>

Staff Software Engineer, Finance Engineering

<div class="content-intro"><h2><strong>About Anthropic</strong></h2>
<p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2><strong>About the role</strong></h2>
<p>As a Product Manager, Technical, you will own and be responsible for building a world class support experience for Anthropic's customers and the Product Support team. You will partner with Product Support Operations, AI Support, Billing, Fraud, and Product Engineering teams to build the systems that decide how Anthropic's users get unblocked when something goes wrong, and how what they report turns into product fixes, in partnership with the product teams that own the experience. Claude will be the primary operator of that support experience.</p>
<ul>
<li>Partner with Product Support Operations, AI Support, and product engineering teams to own the systems behind the support experience end to end: the path from a recurring support driver to a shipped product fix, the Claude-based AI support layer that handles most inbound volume, and the tooling that helps human agents resolve what’s left quickly and accurately. .</li>
<li>Your north star is fewer support cases per user, and whole categories of cases eliminated, even as the product grows. The best outcome is a case that never gets opened because the product problem behind it was found and fixed. Everything in the support experience is in scope. You decide where to start.</li>
<li>You'll define the end-to-end experience Claude delivers: diagnosing a billing failure, resolving it or escalating it, recognizing when the same failure is showing up across many customers, filing the bug with repro steps and a proposed fix, getting that to the engineering team that owns the driver, following up with the customer to confirm the issue was actually resolved, and confirming the category actually goes away once the fix ships.</li>
<li>You will define and own the strategy and roadmap for the support-to-product feedback loop, including the escalation paths for billing, fraud, and high-visibility cases, and the metrics that show whether contact rate is falling.</li>
</ul>
<h2><strong>Responsibilities</strong></h2>
<ul>
<li>Deeply understand the needs of Product Support Operations, AI Support, Billing, Fraud, and the product engineering teams that own support drivers, from specialists handling enterprise escalations to engineers who need a support case turned into a reproducible bug they can fix.</li>
<li>Define and iterate on the support-to-product loop: how a case is classified, how recurring drivers are surfaced in near real time with case examples and recommended fixes, how each driver gets a named owner, and how we confirm the fix decreased case volume. Own the metrics behind it:&nbsp; inbound case volume by driver, drivers fixed at the root, and time from first case to shipped fix, alongside the response-time and CSAT targets Product Support Operations already runs on.</li>
<li>Own the customer's experience of getting unblocked: how quickly a user reaches a resolution and how little friction they hit on the way, whether Claude resolves the case or hands it to a specialist.</li>
<li>Minimize the blast radius of novel issues. New models and product changes will keep creating new drivers no one can predict; catch each one at its first reports, assess impact, and get the fix prioritized while the affected group is still small.</li>
<li>Partner with engineering and data science to build the systems that scale with Anthropic’s growth: Claude as the first responder, the data pipeline behind driver detection, and the tooling that lets Claude hand a diagnosed case to the right team.</li>
<li>Drive product strategy and roadmap for the in-house Claude support layer, including what Claude resolves on its own, what it escalates and to whom, and how far it goes toward filing and fixing the underlying product issue itself.</li>
<li>Own the trade-off framework between intake reduction, response time, cost, and quality, making transparent prioritization decisions about which drivers get fixed first and communicating them clearly to Product Support and senior leadership.</li>
<li>Build conviction about what support looks like when Claude is the primary operator, and translate that into a roadmap that gets Anthropic there ahead of the volume curve.</li>
</ul>
<h2><strong>You may be a good fit if you have</strong></h2>
<ul>
<li>7+ years of product management experience, with deep exposure to support systems, customer operations tooling, billing or payments, or internal platforms that serve operations teams</li>
<li>Experience taking technical platform products from infancy to scale: you've built something from the ground up and grown it to serve demanding internal or external engineering customers</li>
<li>Track record of building products that balance the needs of multiple personas, and of making prioritization trade-offs between them and communicating them clearly</li>
<li>Ability to internalize complex technical systems (case routing, billing and payments flows, LLM-based agents, data pipelines) and translate that understanding into a comprehensive product vision</li>
<li>Fluent across functions: you're equally credible reading a failed-payment trace with engineers, walking a specialist through why a driver got deprioritized, and explaining intake trends to leadership</li>
<li>A strong thesis on how AI changes support: you've thought deeply about what happens when the agent that answers the case can also diagnose, file, and fix what caused it, and you want to build that</li>
<li>Experience scaling an LLM-based product or experience from prototype to real volume, and a clear view of what breaks on the way: quality drift, cost, latency, and user trust</li>
<li>Scrappy and resourceful: you do what it takes to get things done in a fast-moving environment</li>
</ul>
<h2><strong>Strong candidates may have:</strong></h2>
<ul>
<li>Built or scaled the systems behind a high-volume support operation for consumer or developer products: case data pipelines, driver analytics, or LLM-based support agents.</li>
<li>Shipped an LLM-based support or operations agent in production and understand the trust, escalation, and quality-measurement problems that come with it.</li>
<li>Defined and operationalized contact-rate or case-deflection metrics, and a point of view on how those metrics change when the fix ships in the product instead of the help center.</li>
<li>Scaled through hypergrowth in support-heavy environments (consumer subscriptions, developer platforms, or fintech).</li>
<li>Experience getting product and engineering teams to own support drivers, with proven evidence of driving ownership through clear evidence and product quality.</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below.&nbsp;</p>
<p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$385,000</span><span class="divider">&mdash;</span><span>$460,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2>
<p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>
<p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;<u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u>&nbsp;directly for confirmed position openings.</p>
<h2><strong>How we're different</strong></h2>
<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2><strong>Come work with us!</strong></h2>
<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong>&nbsp;Learn about&nbsp;<a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>

Product Manager (Technical), Product Support Experience

<div class="content-intro"><h2><strong>About Anthropic</strong></h2>
<p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2>About the role</h2>
<p>Anthropic is looking for a Staff+ Software Engineer to work on the vector search infrastructure behind Claude. Retrieval is how Claude learns about the world. Web search across claude.ai, the API and agentic surfaces, memory across conversations, and the reinforcement learning workloads that train our next models all depend on fast, cheap, high-recall nearest-neighbor search over billions of vectors.</p>
<p>You'll join a small team responsible for the vector database layer that serves Claude's retrieval workloads: its architecture, performance, scalability and cost. This is a foundational role. The team is small, core architectural decisions are still open, and the engineers who join now will shape how the system evolves.</p>
<p>The role sits in our Databases organization and works day to day with the Search Platform team, which owns web search indexing, retrieval and serving, and the Memory &amp; Search team, which owns search and memory inside claude.ai.&nbsp;</p>
<p>We're looking for someone who has built vector or search systems that ran in production, at scale, with real users and a real on-call. You'll be hands-on in the code, and you'll also be the person deciding how the pieces fit together.</p>
<h2>Key responsibilities</h2>
<ul>
<li>Own the core of Anthropic's vector database layer: index structures, storage layout, query execution and the serving layer</li>
<li>Own production readiness - benchmarking against exact search, capacity planning, onboarding new workloads, and the operational tooling to run it at scale</li>
<li>Drive the recall, latency and cost trade-offs - quantization, filtered search, index build and refresh strategy, and how compute and storage are separated and scaled</li>
<li>Scale throughput by an order of magnitude as research and training demand grows, and work out whether the bottleneck is architecture, hardware or engineering bandwidth</li>
<li>Extend the retrieval stack toward hybrid retrieval - lexical search and fused ranking alongside vector search</li>
<li>Set the evaluation methodology for the system - &nbsp;recall targets, latency objectives, cost per query, and the regression detection that keeps them honest</li>
<li>Set technical direction for a growing team - lead design reviews, make architectural decisions others build on, and mentor the engineers joining the effort</li>
<li>Share the on-call for the systems you own</li>
</ul>
<h2>Minimum qualifications</h2>
<ul>
<li>Direct experience building a vector database or approximate nearest-neighbor search system that ran in production at scale</li>
<li>Deep knowledge of ANN index structures (graph-based, clustering-based or disk-resident approaches), vector quantization and filtered search</li>
<li>Experience with search relevance and ranking</li>
<li>Strong systems programming skills in a language such as Rust, C++ or Go, including performance-critical and memory-intensive code</li>
<li>Experience designing and operating large-scale distributed storage or serving systems with strict latency and reliability requirements</li>
<li>A track record of independently scoping and delivering ambiguous, multi-quarter technical projects</li>
<li>Strong written and verbal communication, with experience driving alignment across teams with different priorities</li>
<li>Interest in AI safety and Anthropic's mission</li>
</ul>
<h2>Preferred qualifications</h2>
<ul>
<li>Experience with object-storage-backed or disaggregated compute and storage database designs</li>
<li>Experience building or operating full-text search engines (inverted indexes, BM25) or hybrid retrieval systems</li>
<li>Familiarity with embedding models and the retrieval demands of LLM training and inference</li>
<li>Experience using GPUs or other accelerators for index build or search</li>
<li>Prior experience as a technical lead on a database or search infrastructure team</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below.&nbsp;</p>
<p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$320,000</span><span class="divider">&mdash;</span><span>$485,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2>
<p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>
<p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;<u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u>&nbsp;directly for confirmed position openings.</p>
<h2><strong>How we're different</strong></h2>
<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2><strong>Come work with us!</strong></h2>
<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong>&nbsp;Learn about&nbsp;<a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>

Staff+ Software Engineer, VectorDB

<div class="content-intro"><h2><strong>About Anthropic</strong></h2>
<p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2 id="about-the-role">About the role</h2>
<p>Platform Safety builds the infrastructure that lets Anthropic bring its most capable models to more people, safely and securely. Our systems decide both who can access our most advanced models, and what capabilities they can access, wherever Claude is available. That includes identity and business verification, trusted access programs, and the core services that grant, hold and enforce model access across our products. These systems already power the Cyber Verification Program, which now includes Project Glasswing, and the Life Sciences Verification Program with further more advanced use cases in development.</p>
<p>As a Staff+ engineer, you'll help set the technical direction for this work. The foundations are live and adoption is growing quickly, so the next challenge is scale: making access a matter of configuration instead of code, making verification reusable, and giving customers a consistent experience on every surface. You'll work closely with safeguards, product, design and research to turn safety policy into systems that are easy to use and enforce. You'll also take new 0 → 1 efforts from idea to delivery as new capabilities and programs emerge.</p>
<h2 id="what-youll-do">What you'll do</h2>
<p>You'll design, build and operate the systems that decide who gets access to our most capable models. You'll build the platform that lets teams across Anthropic launch and run trusted access programs, moving access rules out of code and into data so that launching a new model or complex program is simple and scalable. You'll build out our identity and business verification system (KYC/KYB) as a reusable service that any program can use, which means integrating verification vendors, protecting sensitive personal data, expanding into new regions, and building fair review and appeal paths for customers. You'll also evolve the core services behind every access decision, including the services that grant and hold access and the customer and user identity models they rely on, and keep them highly available and consistent across our own products and cloud platforms.</p>
<p>You'll shape the architecture through clear written proposals, review key designs, and mentor engineers on a growing team. You'll also share on-call, lead incident response, and support emerging new programs.</p>
<h2 id="you-might-be-a-good-fit-if-you">You might be a good fit if you:</h2>
<ul>
<li>Have a minimum of 8 years of practical experience as a backend or platform engineer, ideally at tech lead level or equivalent, and are comfortable working across the stack when the problem calls for it</li>
<li>Have strong product sense, and work closely with cross-functional partners, including non-engineers, to shape and execute strategy in new domains</li>
<li>Use AI tools as a regular part of how you design, build and review software</li>
<li>Have designed and operated production distributed systems on a critical path, where correctness, latency and availability all matter</li>
<li>Take full ownership of your work, from design through build, deployment, operations and iteration</li>
<li>Navigate ambiguity and make sound technical decisions independently, have set technical direction that other engineers and teams adopted, and have ideally operated in both 0 → 1 and more mature settings</li>
<li>Care about building robust, scalable systems that other engineers and businesses love to use</li>
<li>Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI</li>
</ul>
<h2><strong>Strong candidates may also have:</strong></h2>
<ul>
<li>Identity, access control or authorization systems at scale</li>
<li>Fraud, risk, trust and safety, or KYC/KYB systems, including working with verification vendors</li>
<li>Regulated or compliance-sensitive environments, including handling sensitive personal data</li>
<li>Integrating with cloud platforms or partner ecosystems such as AWS, Google Cloud and Azure</li>
</ul>
<p><strong>Deadline to apply:&nbsp;</strong>None. Applications will be reviewed on a rolling basis.&nbsp;</p>
<p><strong>Location Preference:</strong> Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.&nbsp;</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below.&nbsp;</p>
<p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$405,000</span><span class="divider">&mdash;</span><span>$485,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2>
<p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>
<p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;<u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u>&nbsp;directly for confirmed position openings.</p>
<h2><strong>How we're different</strong></h2>
<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2><strong>Come work with us!</strong></h2>
<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong>&nbsp;Learn about&nbsp;<a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>

Staff+ Software Engineer, Platform Safety

<div class="content-intro"><h2><strong>About Anthropic</strong></h2>
<p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2 class="text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold" data-sourcepos="5:1-5:18;181-198">About the role</h2>
<p class="font-claude-response-body break-words whitespace-normal" data-sourcepos="7:1-7:475;200-674">Anthropic is looking for Software Engineers to join the Memory &amp; Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search.</p>
<p class="font-claude-response-body break-words whitespace-normal" data-sourcepos="7:1-7:475;200-674">Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude.</p>
<p class="font-claude-response-body break-words whitespace-normal" data-sourcepos="7:1-7:475;200-674">That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work.</p>
<p class="font-claude-response-body break-words whitespace-normal" data-sourcepos="7:1-7:475;200-674">This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so you will work closely with product, design, privacy, legal and safeguards, and you will be expected to treat those constraints as part of good product design rather than obstacles to it.</p>
<h2 class="text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold" data-sourcepos="11:1-11:24;1119-1142">Key responsibilities</h2>
<ul class="[li_&amp;]:mb-0 [li_&amp;]:mt-1 [li_&amp;]:gap-1 [&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3" data-sourcepos="13:1-17:88;1144-1746">
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="13:1-13:138;1144-1281">Design, build and ship memory and search experiences in Claude.ai, Cowork and Claude Code, owning them end to end from the backend service through the model's tools to the user interface</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="13:1-13:138;1144-1281">Run product experiments on the memory and search stack: form a hypothesis, build a demo, put it in front of real users, measure, and make a clear persevere-or-pivot call</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="13:1-13:138;1144-1281">Shape how Claude uses memory and retrieval inside its agentic loop, including what the model stores, when it searches, how results are ranked and presented, and how the user stays in control</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="13:1-13:138;1144-1281">Define and track the metrics that tell us whether memory is actually making Claude more useful, and build the evaluations that keep quality honest as the system evolves</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="13:1-13:138;1144-1281">Improve search relevance and recall across conversations and memories, working across embeddings, hybrid retrieval and ranking as well as the interface that presents results</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="13:1-13:138;1144-1281">Partner with product, design, privacy, legal and safeguards to ship features that respect user consent and enterprise requirements such as customer-managed encryption keys and data retention policies</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="13:1-13:138;1144-1281">Raise the bar on product quality for the team through design reviews, code reviews and the standards you set for latency, polish and reliability<br>Share the on-call for the systems you own</li>
</ul>
<h2 class="text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold" data-sourcepos="19:1-19:26;1748-1773">Minimum qualifications</h2>
<ul class="[li_&amp;]:mb-0 [li_&amp;]:mt-1 [li_&amp;]:gap-1 [&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3" data-sourcepos="21:1-25:72;1775-2196">
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="21:1-21:89;1775-1863">Experience building and operating user-facing products used by a large number of people, including the backend services behind them</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="21:1-21:89;1775-1863">Experience building agentic systems or LLM-powered products, including tool use, retrieval and prompt or context design</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="21:1-21:89;1775-1863">Strong programming skills in Python and TypeScript, with experience across backend services and web front ends</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="21:1-21:89;1775-1863">A track record of taking a product or feature from an idea to launch, and iterating on it based on usage data and user feedback</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="21:1-21:89;1775-1863">Experience defining product metrics and running experiments to make decisions</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="21:1-21:89;1775-1863">Strong product judgment: you notice when something feels off and you fix it, and you can explain why a design choice matters to users</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="21:1-21:89;1775-1863">Strong written and verbal communication, with experience working closely with product managers, designers and non-engineering partners</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="21:1-21:89;1775-1863">Interest in AI safety and Anthropic's mission</li>
</ul>
<h2 class="text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold" data-sourcepos="27:1-27:28;2198-2225">Preferred qualifications</h2>
<ul class="[li_&amp;]:mb-0 [li_&amp;]:mt-1 [li_&amp;]:gap-1 [&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3" data-sourcepos="29:1-35:75;2227-2767">
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="29:1-29:83;2227-2309">Experience as a founder, early-stage engineer, or someone who has taken a product from zero to one</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="29:1-29:83;2227-2309">Experience building search or retrieval systems: embeddings, vector search, hybrid lexical and semantic retrieval, or ranking</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="29:1-29:83;2227-2309">Experience building evaluations for LLM or ML systems, or measuring the quality of retrieval and ranking</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="29:1-29:83;2227-2309">Experience on consumer products with strong retention, or on personalization systems</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="29:1-29:83;2227-2309">Experience shipping features that handle sensitive data or meet enterprise requirements such as customer-managed encryption keys, data residency or HIPAA</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="29:1-29:83;2227-2309">Experience with latency-sensitive, performance-critical product work</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="29:1-29:83;2227-2309">Experience mentoring engineers or setting technical direction for a team</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below.&nbsp;</p>
<p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$405,000</span><span class="divider">&mdash;</span><span>$485,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2>
<p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>
<p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;<u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u>&nbsp;directly for confirmed position openings.</p>
<h2><strong>How we're different</strong></h2>
<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2><strong>Come work with us!</strong></h2>
<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong>&nbsp;Learn about&nbsp;<a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>

Staff+ Software Engineer, Memory & Search

<div class="content-intro"><h2><strong>About Anthropic</strong></h2>
<p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2><strong>About the role</strong></h2>
<p>The vision for Claude Marketplace is to create an ecosystem flywheel, connecting builders and buyers. For partners this drives stickier relationships, higher SOW, and Pillar 3 growth. For customers, this drives activation, retention, and confidence in bigger commits. When successful, Marketplace will be a part of every customer conversation, embedded in every commit, and a one-stop discovery surface for everything customers need to extend and deploy Claude.</p>
<p>We're hiring a Product Manager to own the Marketplace as a product, for the partners who sell on it and the customers who buy through it. You'll work closely with the Marketplace team, which owns the partner and customer relationships as well as the commercial motion, and build on systems owned by other product and engineering teams. You'll have a lot of room to define and build the experience fitting for an AI native world.&nbsp;</p>
<h2><strong>Key responsibilities</strong></h2>
<ul>
<li>Own the Marketplace product end to end for partners and customers, from onboarding and listing through purchase and billing</li>
<li>Design the commercial workflows behind the Marketplace from first principles, so they scale and meet partners' and customers' finance, audit and compliance requirements</li>
<li>Shape the business strategy and commercial incentives with Business Development, Finance and Legal, and build them into the product</li>
<li>Be the product voice partners hear from, and turn signals from partners, customers and the field into a roadmap</li>
<li>Define the Marketplace's success metrics and how they're measured</li>
</ul>
<h2><strong>Minimum qualifications</strong></h2>
<ul>
<li>Have owned a product end to end, including the operational workflows behind it, and were the person accountable for its outcomes&nbsp;</li>
<li>Have built with or shipped on top of large language models, and have used them to make a product experience better</li>
<li>Have led cross-functional work where most of the teams you depended on didn't report to you, and earned their trust quickly</li>
<li>Can present to executives at partner companies and represent Anthropic well in front of them</li>
<li>Write clearly enough that an engineer, an executive and an external partner can each see the tradeoff you're making</li>
<li>Care about Anthropic's mission, and specifically about building an ecosystem where the companies that build on Claude grow along with it</li>
</ul>
<h2><strong>Preferred qualifications</strong></h2>
<ul>
<li>8+ years of product management experience</li>
<li>Played an active role in a marketplace, app store or partner ecosystem, on either the platform or the partner side&nbsp;</li>
<li>Taken a product from zero to one, where the users, the product and the economics all had to be worked out at once</li>
<li>Go-to-market instincts: how co-sell motions, partner programs and platform economics work in enterprise software</li>
<li>Experience/familiarity with high growth AI native companies, including their business models and growth vectors</li>
</ul>
<h2><strong>Location</strong></h2>
<p>San Francisco, New York City or Seattle.</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below.&nbsp;</p>
<p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$305,000</span><span class="divider">&mdash;</span><span>$385,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2>
<p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>
<p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;<u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u>&nbsp;directly for confirmed position openings.</p>
<h2><strong>How we're different</strong></h2>
<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2><strong>Come work with us!</strong></h2>
<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong>&nbsp;Learn about&nbsp;<a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>

Product Manager, Claude Marketplace

<div class="content-intro"><h2><strong>About Anthropic</strong></h2>
<p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><p data-lfile-container="ed301769-b7b5-4ce7-8301-790f0b6a3ad6" data-pm-slice="1 1 []"><strong>About the role</strong></p>
<p>Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude often have the most demanding needs, with rigorous requirements around end-user experience, procurement, security, and permissions. We believe earning their trust is essential to ensuring AI benefits the world broadly.</p>
<p>We're looking for a Staff+ Full Stack Engineer for our Enterprise pillar—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company rolls out Claude to 100,000 employees, the admin, governance, and management experiences you build are what their IT leaders, security teams, and end users touch every day. This is a high-agency role where the product questions are as open as the architecture ones: you'll help decide what these products are, not just how they're built, and you'll see your work land with real teams at the world's largest enterprises.</p>
<p><strong>What you'll do</strong></p>
<ul>
<li>Own technical design and delivery for enterprise-facing products end-to-end across the stack—from admin consoles and governance surfaces to the APIs and data models behind them</li>
<li>Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec</li>
<li>Set technical direction and standards for your team: architecture, code quality, and how the team builds</li>
<li>Work directly with enterprise customers, admins, and sales during key conversations, translating what you learn into engineering priorities</li>
<li>Build the primitives that let the world's largest organizations deploy, govern, and get value from Claude at scale</li>
<li>Mentor other engineers and raise the technical bar across the team, working with influence rather than authority</li>
</ul>
<p><strong>You may be a good fit if you</strong></p>
<ul>
<li>Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level</li>
<li>Have led the design and delivery of complex customer-facing products across the full stack</li>
<li>Have built enterprise SaaS products and understand what IT admins, security reviewers, and procurement teams need to say yes</li>
<li>Are comfortable working directly with enterprise customers and translating what you learn into technical decisions</li>
<li>Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on</li>
<li>Drive cross-team alignment to ship impactful work, with influence over authority</li>
</ul>
<p><strong>Strong candidates may also have</strong></p>
<ul>
<li>Experience with enterprise identity, permissions, and administration surfaces (SSO/SCIM, RBAC, audit, usage and spend visibility)</li>
<li>Experience building AI products and turning model capabilities into applications people actually use</li>
<li>Experience as startup founders or early-stage employees</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below.&nbsp;</p>
<p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$405,000</span><span class="divider">&mdash;</span><span>$485,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2>
<p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>
<p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;<u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u>&nbsp;directly for confirmed position openings.</p>
<h2><strong>How we're different</strong></h2>
<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2><strong>Come work with us!</strong></h2>
<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong>&nbsp;Learn about&nbsp;<a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>

Staff+ Software Engineer, Enterprise (Full Stack)

<div class="content-intro"><h2><strong>About Anthropic</strong></h2>
<p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2 id="about-the-role">About the role</h2>
<p data-lfile-container="6de50a80-2898-499b-a2b6-155f551641a1" data-pm-slice="1 1 []">As of May 2026, Claude authored <a href="https://www.anthropic.com/institute/recursive-self-improvement" target="_blank">more than 80% of the code we merge</a>. Writing a change is fast now, and the hard part is knowing it's correct and safe to ship. Platform Acceleration builds the internal tools that close that gap for Anthropic's product engineers, who own the Claude API, our SDKs, and the rest of the Claude Platform. We work like a small product team whose customers are other Anthropic engineers.</p>
<p>We're looking for Staff+ engineers with a backend and infrastructure background who care about developer experience and have built tools other engineers rely on. We prefer candidates who can work from our San Francisco office, and we'll also consider candidates based in Seattle.</p>
<h2 id="what-youll-do">What you'll do</h2>
<ul data-lfile-container="6de50a80-2898-499b-a2b6-155f551641a1" data-pm-slice="3 3 []">
<li>Own the technical strategy and roadmap for your area, and make sure its hardest problems get solved, by you or through others</li>
<li>Stay hands-on: design, build, and operate the tools that help Platform teams ship code faster</li>
<li>Define what it takes to trust a change, including changes written by Claude, and build the tooling that holds that bar before and after merge</li>
<li>Build agents that take on repetitive engineering work, such as diagnosing failures, fixing broken tests, and running migrations</li>
<li>Embed with partner teams to find their biggest sources of friction, validate a solution with them, and turn the fix into a product other teams can adopt</li>
<li>Measure developer experience and adoption, and use the data to decide what to build next</li>
<li>Move between building new tools and improving the shared systems teams already depend on, as priorities shift</li>
</ul>
<h2 id="you-might-be-a-good-fit-if-you">You might be a good fit if you:</h2>
<ul>
<li>Experience building and operating large-scale backend services or distributed systems in production</li>
<li>Proficiency in Go, Python, Rust, or TypeScript</li>
<li>Deep experience with developer tooling, CI/CD, test infrastructure, or deployment systems</li>
<li>Experience with cloud infrastructure and container orchestration</li>
<li>Experience leading large, complex technical projects across teams, from an ambiguous problem to a tool people use</li>
<li>Clear written and verbal communication, with experience supporting internal partner teams</li>
<li>Interest in Anthropic's mission of building safe, beneficial AI</li>
</ul>
<h2 id="you-might-be-a-good-fit-if-you">Preferred qualifications:&nbsp;</h2>
<ul data-lfile-container="6de50a80-2898-499b-a2b6-155f551641a1" data-pm-slice="3 3 []">
<li>Experience at a startup or on a similarly small team, taking a product from zero to one and talking directly to your users</li>
<li>Substantial experience with agents that do engineering or other technical work</li>
<li>Experience building widely adopted CLI tools, developer-facing services, GitHub automation, or open source developer tools</li>
<li>Depth in progressive delivery, observability, VM orchestration, sandboxed execution, or workflow orchestration</li>
<li>Experience working in a large monorepo</li>
<li>Enough full-stack ability to put a usable interface on your tools</li>
<li>A point of view on how software engineering changes as agents write more of the code</li>
</ul>
<p><strong>Deadline to apply:&nbsp;</strong>None. Applications will be reviewed on a rolling basis.&nbsp;</p>
<p><strong>Location Preference:</strong> Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.&nbsp;</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below.&nbsp;</p>
<p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$405,000</span><span class="divider">&mdash;</span><span>$485,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2>
<p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>
<p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;<u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u>&nbsp;directly for confirmed position openings.</p>
<h2><strong>How we're different</strong></h2>
<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2><strong>Come work with us!</strong></h2>
<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong>&nbsp;Learn about&nbsp;<a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>

Staff+ Software Engineer, Platform Acceleration

<div class="content-intro"><h2><strong>About Anthropic</strong></h2>
<p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><p><strong><em>Note: this job post is for Fullstack Software Engineers only. If you are a Backend Engineer, please see our Backend Software Engineer post&nbsp;</em></strong><a href="https://job-boards.greenhouse.io/anthropic/jobs/4951844008" target="_blank"><strong><em>here</em></strong></a><strong><em>.&nbsp;</em></strong></p>
<p><strong>About the role</strong></p>
<p>We are looking for <strong>fullstack </strong>software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies.</p>
<p><em>We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential.&nbsp;</em></p>
<p><strong>Responsibilities:</strong></p>
<ul>
<li>Design and build the internal review tools analysts use to investigate abuse — dashboards, case queues, and evidence viewers that make high-volume, high-stakes decisions fast and accurate.</li>
<li>Build the interfaces where humans supervise agents: streaming output, interruption and approval flows, and clear provenance for every action an agent takes.</li>
<li>Surface abuse patterns to our research teams through the visualizations and exploration tools that make emerging patterns legible.</li>
<li>Own the frontend architecture for tools handling sensitive data at scale — performance under large datasets, correctness under real-time updates, and access controls enforced end to end.</li>
</ul>
<p><strong>You may be a good fit if you have:</strong></p>
<ul>
<li>A Bachelor’s degree in Computer Science, Software Engineering or comparable experience</li>
<li>Proficiency in TypeScript and modern React; comfortable in Python for backend work</li>
<li>The ability to work across the stack</li>
<li>Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders</li>
</ul>
<p><strong>Strong candidates may also:</strong></p>
<ul>
<li>8+ years of experience in a software engineering position, not including internships or co-ops</li>
<li>Have experience building data-dense internal tools or operator interfaces, not just marketing or consumer surfaces</li>
<li>Have experience with integrity, spam, fraud, or abuse detection and mitigation</li>
<li>Have experience building trust and safety detection mechanisms and intervention for AI/ML systems</li>
<li>Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs</li>
<li>Have worked closely with operational teams to build custom internal tooling</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below.&nbsp;</p>
<p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$405,000</span><span class="divider">&mdash;</span><span>$485,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2>
<p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>
<p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;<u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u>&nbsp;directly for confirmed position openings.</p>
<h2><strong>How we're different</strong></h2>
<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2><strong>Come work with us!</strong></h2>
<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong>&nbsp;Learn about&nbsp;<a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>

Staff+ Fullstack Software Engineer, Safeguards Engineering

<div class="content-intro"><h2><strong>About Anthropic</strong></h2>
<p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2><strong>About the Role</strong></h2>
<p>Claude is one of the fastest-growing AI products in the world, with tens of millions of users worldwide relying on Claude across web, mobile, and desktop. As a Product Manager on the App Foundations team, you’ll be responsible for key parts of the product experience spanning the core Claude user-experience, and primitives such as memory, voice mode, and artifacts. You'll be improving and scaling a product that has enormous reach. This requires strong systems thinking, judgement about what to build next, deep care for craft and quality, and the ability to move quickly in a highly cross-functional environment, while maintaining our commitment to safety and beneficial AI.</p>
<h2><strong>Key Responsibilities</strong></h2>
<ul>
<li>Own the end-to-end strategy, roadmap and execution for your area</li>
<li>Design capabilities as systems that flexibly extend to all Claude products</li>
<li>Translate frontier model capabilities into simple, intuitive experiences that a broad consumer audience can understand and love</li>
<li>Analyze product metrics and user feedback to identify opportunities and optimize performance</li>
<li>Use a mix of quantitative data, experimentation, and user research to deeply understand user behavior and make prioritization calls</li>
<li>Set a high bar for quality and craft — sweat the details of the everyday interactions that millions of people experience</li>
<li>Partner closely with design, engineering, data science, research, and marketing to ship high-impact product improvements at a fast cadence</li>
<li>Balance rapid iteration with our commitment to AI safety and ethics</li>
</ul>
<h2><strong>Minimum Qualifications</strong></h2>
<ul>
<li>Experience working on products with millions of users</li>
<li>Exceptional product taste and instincts for what makes experiences delightful</li>
<li>Highly analytical and fluent in experimentation and using data to drive decisions</li>
<li>Excellent communication and stakeholder management skills</li>
<li>Ability to thrive in a fast-paced, ambiguous environment</li>
<li>Passion for AI technology and its potential impact on society</li>
<li>Technical background or ability to work effectively with engineering teams</li>
<li>Ability to translate nascent model capabilities into compelling product experiences</li>
</ul>
<h2>Preferred Qualifications</h2>
<ul>
<li>8+ years of product management experience, across both consumer and enterprise</li>
<li>Founder experience is a plus</li>
<li>AI product experience is a plus</li>
<li>Working on products that were both B2C and B2B is a plus</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below.&nbsp;</p>
<p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$305,000</span><span class="divider">&mdash;</span><span>$385,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2>
<p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>
<p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;<u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u>&nbsp;directly for confirmed position openings.</p>
<h2><strong>How we're different</strong></h2>
<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2><strong>Come work with us!</strong></h2>
<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong>&nbsp;Learn about&nbsp;<a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>

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