HackerRank is a technology hiring platform that is the standard for assessing developer skills for over 3,000 companies around the world. HackerRank helps companies hire skilled developers and innovate faster by enabling tech recruiters and hiring managers to objectively evaluate talent at every stage of the recruiting process.

hackerrank

HackerRank helps thousands of companies like OpenAI, NVIDIA, Mercedes and&nbsp;Amazon hire developers based on their skills vs. pedigree, and also nurtures a community of millions of developers to upskill themselves to become next-gen developers. The people at HackerRank care deeply about their work and have an extremely intense work ethic. In many companies, speed &amp; quality is a tradeoff. At HackerRank, it’s not -- we expect you to ship in about half the time that most competent people think is possible while maintaining a standard of quality you’d proudly sign your name on. The only way to make this happen is if you truly love your craft and are deeply committed to growth.About the role At HackerRank, trust is everything. The Integrity Platform is at the heart of that promise - ensuring that every assessment result reflects genuine skill and performance. As our Principal Product Manager for Integrity, you’ll be on the team that owns the end-to-end strategy, design, and execution of platform capabilities that safeguard assessment authenticity across the entire HackerRank product suite. You’ll define and lead the roadmap for a system that supports over 100,000 concurrent user sessions, tackling the evolving challenges of AI-enabled cheating and assessment fraud. This is a mission-critical, high-visibility role with direct exposure to the executive team, including the CEO, and deep cross-functional collaboration with engineering, ML, and customer-facing teams. What you’ll do Lead Cross-Product Integrations – Partner with product leaders across all HackerRank lines to embed integrity solutions seamlessly into every experience. Collaborate with ML &amp; Engineering – Work closely with our ML engineering team to design detection systems and models that proactively surface suspicious activity. Deliver Scalable Platforms – Drive the roadmap for scalable, resilient systems capable of supporting high-volume concurrent sessions with real-time accuracy. Represent the Voice of the Customer – Engage directly with enterprise customers to understand their security concerns and translate them into product opportunities. Measure &amp; Improve Impact – Define success metrics, monitor key integrity signals, and continuously iterate on solution effectiveness. Lead the end-to-end delivery of AI/ML-powered integrity capabilities, including designing eval frameworks, running annotation exercises for key user flows, and holding a high bar for model quality before and after launch. Who you are 5+ years of product management experience, with strong ownership of complex, technical systems Comfortable working deeply with ML and engineering teams Has built or owned shared platforms, not just features Confident and credible in customer-facing, high-stakes problem spaces Demonstrates strong judgment under pressure and takes end-to-end ownership Even better if you have Early-stage startup experience Prior engineering background Experience in HR tech, especially products used for technical hiring or assessments Experience with fraud, abuse, trust, security, or risk systems Direct ownership of ML-powered or rules-based detection systems Built products used at high scale with real-time or near–real-time constraints Experience working with enterprise customers on sensitive or regulated workflows You will thrive in this role if you Own from Concept to Launch: You’re a builder who thrives on seeing an idea through every phase-from vision to customer impact. Think Strategically: You can simplify complex systems, anticipate risks, and make tough tradeoffs that optimize for long-term scalability and trust. Love High Stakes: You’re energized by ambiguity, urgency, and the need to make thoughtful decisions that have executive visibility and company-wide implications. Have a Bias for Action: You favor experimentation and iteration over perfection - learning fast and delivering value faster. You are deeply fluent in applied AI and have shipped ML-powered products where you personally drove eval design, data and annotation workflows, and the rigor needed to trust models in real customer-facing systems. Communicate with Influence: You can distill technical complexity into clear, compelling narratives for executives, customers, and engineers alike. Want to learn more about HackerRank?&nbsp;Check out&nbsp;HackerRank.com&nbsp;to explore our products, solutions and resources, and dive into our story and mission&nbsp;here. HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.&nbsp; Linkedin | X&nbsp;|&nbsp;Blog&nbsp;|&nbsp;Instagram&nbsp;|&nbsp;Life@HackerRank Notice to prospective HackerRank job applicants: Our Recruiters use @hackerrank.com email addresses. We never ask for payment or credit check information to apply, interview, or work here.

Principal Product Manager

HackerRank helps thousands of companies like OpenAI, NVIDIA,&nbsp;and&nbsp;Amazon hire developers based on their skills vs. pedigree, and also nurtures a community of millions of developers to upskill themselves to become next-gen developers. The people at HackerRank care deeply about their work and have an extremely intense work ethic. In many companies, speed &amp; quality is a tradeoff. At HackerRank, it’s not -- we expect you to ship in about half the time that most competent people think is possible while maintaining a standard of quality you’d proudly sign your name on. The only way to make this happen is if you truly love your craft and are deeply committed to growth.About the role At HackerRank, trust is everything. The Integrity Platform is at the heart of that promise - ensuring that every assessment result reflects genuine skill and performance. As our Principal Product Manager for Integrity, you’ll be on the team that owns the end-to-end strategy, design, and execution of platform capabilities that safeguard assessment authenticity across the entire HackerRank product suite. You’ll define and lead the roadmap for a system that supports over 100,000 concurrent user sessions, tackling the evolving challenges of AI-enabled cheating and assessment fraud. This is a mission-critical, high-visibility role with direct exposure to the executive team, including the CEO, and deep cross-functional collaboration with engineering, ML, and customer-facing teams. What you’ll do Lead Cross-Product Integrations – Partner with product leaders across all HackerRank lines to embed integrity solutions seamlessly into every experience. Collaborate with ML &amp; Engineering – Work closely with our ML engineering team to design detection systems and models that proactively surface suspicious activity. Deliver Scalable Platforms – Drive the roadmap for scalable, resilient systems capable of supporting high-volume concurrent sessions with real-time accuracy. Represent the Voice of the Customer – Engage directly with enterprise customers to understand their security concerns and translate them into product opportunities. Measure &amp; Improve Impact – Define success metrics, monitor key integrity signals, and continuously iterate on solution effectiveness. Lead the end-to-end delivery of AI/ML-powered integrity capabilities, including designing eval frameworks, running annotation exercises for key user flows, and holding a high bar for model quality before and after launch. Who you are 5+ years of product management experience, with strong ownership of complex, technical systems Comfortable working deeply with ML and engineering teams Has built or owned shared platforms, not just features Confident and credible in customer-facing, high-stakes problem spaces Demonstrates strong judgment under pressure and takes end-to-end ownership Even better if you have Early-stage startup experience Prior engineering background Experience in HR tech, especially products used for technical hiring or assessments Experience with fraud, abuse, trust, security, or risk systems Direct ownership of ML-powered or rules-based detection systems Built products used at high scale with real-time or near–real-time constraints Experience working with enterprise customers on sensitive or regulated workflows You will thrive in this role if you Own from Concept to Launch: You’re a builder who thrives on seeing an idea through every phase-from vision to customer impact. Think Strategically: You can simplify complex systems, anticipate risks, and make tough tradeoffs that optimize for long-term scalability and trust. Love High Stakes: You’re energized by ambiguity, urgency, and the need to make thoughtful decisions that have executive visibility and company-wide implications. Have a Bias for Action: You favor experimentation and iteration over perfection - learning fast and delivering value faster. You are deeply fluent in applied AI and have shipped ML-powered products where you personally drove eval design, data and annotation workflows, and the rigor needed to trust models in real customer-facing systems. Communicate with Influence: You can distill technical complexity into clear, compelling narratives for executives, customers, and engineers alike. Want to learn more about HackerRank?&nbsp;Check out&nbsp;HackerRank.com&nbsp;to explore our products, solutions and resources, and dive into our story and mission&nbsp;here. HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.&nbsp; Linkedin | X&nbsp;|&nbsp;Blog&nbsp;|&nbsp;Instagram&nbsp;|&nbsp;Life@HackerRank Notice to prospective HackerRank job applicants: Our Recruiters use @hackerrank.com email addresses. We never ask for payment or credit check information to apply, interview, or work here.

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next.Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills.People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standardsAbout the role We're looking for a Product Manager to drive the product strategy for Screen, HackerRank's core hiring platform. This is a high-impact role where you'll shape how companies evaluate technical talent at scale, working at the cutting edge of AI-powered assessment. You'll own the future of candidate evaluation—defining how we leverage AI to assess technical skills, problem-solving ability, and collaboration in ways that are both innovative and trustworthy. This is cutting-edge AI evaluation work that's defining new standards for the industry. The platform operates at significant scale and carries a meaningful technical legacy, serving customers of various sizes, shapes, and needs—from startups running a handful of interviews to enterprises processing thousands of assessments. This isn't about greenfield product work; it's about making sophisticated decisions in a constrained environment and delivering measurable impact. The role comes with high visibility across the organization, including direct exposure to our CEO, and requires close collaboration with platform teams working on integrity, IDE infrastructure, and AI capabilities. What you'll do Own the product strategy and roadmap for Screen, making critical decisions about how we evolve our core evaluation platform while balancing innovation with platform stability Drive AI-first evaluation capabilities, defining what signals matter, how AI can surface insights that human reviewers miss, and how to make evaluation both more effective and more fair Navigate technical complexity at scale, working deeply with a team of X engineers (including X staff engineers) and an Engineering Manager to balance technical constraints with user needs Balance competing needs across multiple personas—recruiters, hiring managers, and candidates—designing solutions that work across their often conflicting requirements Guide customers through platform evolution, spending time understanding their hiring challenges, managing migrations to new experiences, and ensuring we solve real problems Collaborate across teams and time zones, working with multiple product and platform teams, and often serving as the bridge between technical complexity and customer value Lead with visibility and impact, working directly with senior leadership and driving cross-functional initiatives that shape the future of technical hiring Who you are You've built B2B SaaS products at scale where you balanced competing needs across different user personas and made tradeoffs that worked for multiple stakeholders You're comfortable with complex, legacy systems and don't need every problem to be new or sexy—you can get excited about intricate technical challenges and the hard work of improving something that already exists at scale You understand the complexity of serving diverse customers—from small teams to large enterprises—and can design solutions that flex across this diversity rather than forcing one-size-fits-all approaches You have strong judgment under pressure and can go deep technically when needed, build empathy across different personas, and synthesize complex constraints into clear decisions You care deeply about customers and see direct customer engagement not as a chore but as essential input for building the right thing Even better if you have Experience working with legacy systems and driving incremental transformation in constrained environments Background in assessment, evaluation, or EdTech products Experience with AI/ML product development or integrating AI capabilities into existing platforms Track record of managing complex platform migrations while maintaining customer satisfaction You'll thrive in this role if you You're energized by complexity, not overwhelmed by it. The challenge of navigating a legacy platform serving diverse customers excites you rather than frustrates you. You're comfortable working globally. This role requires collaboration across multiple time zones, including occasional meetings outside standard hours, and you see this as an opportunity rather than a burden. You want high visibility and impact. You're ready to work with senior leadership, including our CEO, and drive decisions that shape how companies around the world hire technical talent. You're passionate about the cutting edge of AI evaluation work. You want to be at the forefront of defining how AI changes candidate assessment and you're excited to push boundaries while maintaining trust and fairness. You balance deep technical engagement with customer empathy. You can dive into technical constraints with staff engineers one hour and guide a customer through a migration the next, finding energy in both. Want to learn more about HackerRank?&nbsp;Check out&nbsp;HackerRank.com&nbsp;to explore our products, solutions and resources, and dive into our story and mission&nbsp;here. HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.&nbsp; Linkedin | X&nbsp;|&nbsp;Blog&nbsp;|&nbsp;Instagram&nbsp;|&nbsp;Life@HackerRank Notice to prospective HackerRank job applicants: Our Recruiters use @hackerrank.com email addresses. We never ask for payment or credit check information to apply, interview, or work here.

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next.Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills.People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards.About the role HackerRank's goal is straightforward: to give companies a dependable way to evaluate whether a candidate can do the job. The previous model, which relied on test cases and code correctness, is becoming less reliable as candidates use AI assistants and produce work that requires deeper scrutiny.The Evaluation team is rebuilding the underlying scoring system. This involves defining the new evaluation rubrics, determining how our models apply them consistently across thousands of candidates, working with enterprise clients to define good performance, and ensuring our methodology is fair and defensible.Evaluation's trustworthiness is fundamental to HackerRank's business and its products. We are looking to hire a&nbsp;Senior Product Manager to own this crucial charter. What you will do Own the evaluation product roadmap: what gets built, in what order, and why, with a clear point of view on what the product needs to become over the next 12 to 18 months. Define what "good evaluation" means in product terms: the rubrics, scoring dimensions, bias safeguards, and consistency checks that enterprise customers will stake hiring decisions on. Work directly with ML engineers and AI researchers to translate methodology into shipped product. You are the connective tissue between research clarity and engineering execution. Talk to enterprise customers regularly. Understand how Goldman Sachs defines a strong candidate differently from how a startup does, and make sure the product can serve both. Build the feedback loops that let the evaluation system improve: how we capture when customers disagree with a score, what signals we surface to the ML team, and how we close the loop. Define and own the metrics that tell us whether evaluation quality is actually improving, not just whether we shipped something. Who you are You have 5 or more years of product experience, with meaningful time in a B2B or enterprise context where your work had to be defensible to sophisticated customers. You think rigorously about if the measures actually map to the outcomes. A PM who cannot tell the difference between a good metric and a vanity metric will not survive this role. You are comfortable with ambiguity in the problem definition. The answer to "what does good evaluation look like" does not exist yet. You need to want to find it, not wait for someone to hand it to you. You can hold your own in a technical conversation with ML engineers without needing to code. You understand enough about model behavior, evaluation pipelines, and data feedback loops to ask sharp questions. You communicate with precision. Crisp PRDs, sharp debate in design reviews, clear framing to customers and leadership. You do not hide behind vague language when the problem is hard. Even better if you have Prior experience in assessment, ed-tech, talent tech, or any domain where you had to build products around subjective or qualitative evaluation. Exposure to fairness, bias, or compliance considerations in a product context. Experience building or working closely with ML-powered scoring or ranking systems. Track record of defining new product categories rather than iterating on established ones. You will thrive if you Believe the evaluation problem is one of the most interesting unsolved problems in enterprise software right now.&nbsp; You want to own a roadmap that is genuinely consequential, not increment on features that already exist.&nbsp; Are the kind of PM who would rather have a sharp conversation about what we should not build than ship something that does not hold up. You are not scared of technical depth. You lean into it. Want to learn more about HackerRank?&nbsp;Check out&nbsp;HackerRank.com&nbsp;to explore our products, solutions and resources, and dive into our story and mission&nbsp;here. HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.&nbsp; Linkedin | X&nbsp;|&nbsp;Blog&nbsp;|&nbsp;Instagram&nbsp;|&nbsp;Life@HackerRank Notice to prospective HackerRank job applicants: Our Recruiters use @hackerrank.com email addresses. We never ask for payment or credit check information to apply, interview, or work here.

Senior Product Manager

HackerRank helps thousands of companies like OpenAI, NVIDIA, Mercedes and&nbsp;Amazon hire developers based on their skills vs. pedigree, and also nurtures a community of millions of developers to upskill themselves to become next-gen developers. The people at HackerRank care deeply about their work and have an extremely intense work ethic. In many companies, speed &amp; quality is a tradeoff. At HackerRank, it’s not -- we expect you to ship in about half the time that most competent people think is possible while maintaining a standard of quality you’d proudly sign your name on. The only way to make this happen is if you truly love your craft and are deeply committed to growth.About the role We’re hiring a Senior Go-To-Market TA Partner for a year long contract to accelerate GTM hiring out of our Santa Clara office. This role is built for someone who already speaks GTM quota, pipeline, QBRs, retention, and expansion and can plug into an active motion with minimal ramp. You’ll work closely with leaders to build high-quality GTM teams that directly impact revenue. This is a hands-on, on-site role designed for a recruiter who values ownership, speed, and sharp hiring judgment. Who you are A senior recruiter with 7-8 years of experience hiring for go-to-market, revenue, or customer-facing roles in tech or SaaS Deeply familiar with modern GTM motions and metrics-&nbsp; from quota-carrying roles and pipeline health to renewals, expansion, and churn Confident hiring for complex, technical GTM roles Known for strong hiring judgment and the ability to assess GTM talent in a real business and revenue context A credible GTM storyteller, able to represent roles, teams, and growth narratives clearly to senior candidates Comfortable operating in fast-moving, high-ownership environments with minimal process and high expectations What you’ll do Own end-to-end hiring for GTM roles across Sales, Solutions Engineering, Sales Engineering, and Customer Success Partner closely with GTM leaders, hiring in the context of quotas, territories, pipeline health, and revenue goals Build high-signal pipelines through proactive sourcing and an existing GTM network Balance speed and quality, with a strong focus on candidate experience, close rates, and hiring outcomes Operate as a true hiring partner, driving decisions rather than managing process Even better if you have Experience recruiting for complex, technical SaaS or product-led companies A strong, active network of Solutions Engineers, CAMs and Sales Engineers Exposure to supporting fast-scaling or high-growth GTM teams Experience hiring across multiple GTM functions in parallel Comfort working closely with senior stakeholders in an on-site environment You’ll thrive in this role if Credibility with Sales, Solutions, and Revenue leaders comes naturally Outcomes matter more than funnel volume Hands-on, decisive work is energising Direct impact on growth and revenue is a key motivator Compensation Base salary range: $12000 – $15000/monthly. This range doesn't include stock options or benefits. Salary may be adjusted based on business needs. Final offer may vary based on skills, experience, location, and other compensation components. Want to learn more about HackerRank?&nbsp;Check out&nbsp;HackerRank.com&nbsp;to explore our products, solutions and resources, and dive into our story and mission&nbsp;here. HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.&nbsp; Linkedin | X&nbsp;|&nbsp;Blog&nbsp;|&nbsp;Instagram&nbsp;|&nbsp;Life@HackerRank Notice to prospective HackerRank job applicants: Our Recruiters use @hackerrank.com email addresses. We never ask for payment or credit check information to apply, interview, or work here.

Senior Talent Acquisition Partner- GTM ( Contract)

HackerRank helps thousands of companies like OpenAI, NVIDIA, Mercedes and&nbsp;Amazon hire developers based on their skills vs. pedigree, and also nurtures a community of millions of developers to upskill themselves to become next-gen developers. The people at HackerRank care deeply about their work and have an extremely intense work ethic. In many companies, speed &amp; quality is a tradeoff. At HackerRank, it’s not -- we expect you to ship in about half the time that most competent people think is possible while maintaining a standard of quality you’d proudly sign your name on. The only way to make this happen is if you truly love your craft and are deeply committed to growth.About the Role We are seeking a Staff AI Scientist with deep expertise in machine learning fundamentals and a proven track record of building and evaluating advanced AI systems. This role is for someone who thrives at the intersection of data science, statistics, and ML engineering, with an emphasis on dataset rigor, metric design, and evaluation methodology. At the staff level, you will set the direction for how we evaluate AI systems, work across teams to ensure scientific rigor is balanced with product and engineering needs, and deliver both datasets and pipelines that stand up to scrutiny. What you’ll do Dataset Preparation &amp; Evaluation Design, prepare, and curate high-quality evaluation datasets with defensible methodology. Define criteria for dataset construction, ensuring statistical rigor, reproducibility, and fairness. Develop new metrics and evaluation frameworks to measure model performance in nuanced ways. Model Evaluation &amp; ML Engineering Evaluate LLMs and other pre-trained models using carefully chosen datasets and metrics. Build scalable pipelines for training, fine-tuning, and benchmarking models. Contribute to projects involving fine-tuning, retrieval-augmented generation (RAG), and other adaptation methods. Cross-Functional Leadership Partner with product and engineering to align scientific rigor with business outcomes. Define evaluation standards and ML lifecycle practices that raise the bar across the company. Mentor scientists and engineers, guiding best practices in experimentation, statistics, and ML development. Who you are Education: Master’s degree (PhD preferred) in Computer Science, Statistics, Machine Learning, or a related quantitative field. Strong background in mathematical and statistical foundations of machine learning (probability, linear algebra, optimization, experimental design). Demonstrated experience in end-to-end ML lifecycle: dataset preparation, model training, evaluation, deployment, and monitoring. Proven expertise in evaluation dataset design and metric creation, not just using existing benchmarks but knowing when and how to improve them. Experience with LLM evaluation, fine-tuning, and RAG, with the engineering skills to build production-ready pipelines. Track record of strategic impact at a staff or principal level setting evaluation and research standards across teams. Even better if you have Publications, open-source contributions, or widely adopted benchmarks in ML/AI. Prior experience shaping AI evaluation frameworks at an organizational or industry level. Comfort working at the interface of science, engineering, and product. You will thrive in role if You define gold-standard evaluation datasets and metrics that internal teams adopt as a standard. You ship datasets and pipelines that are statistically rigorous, reproducible, and scalable. You elevate the organization’s ML practice by embedding sound statistical and scientific methodology into product and engineering work. You are recognized as a thought leader who sets strategy while still contributing technically at depth. Want to learn more about HackerRank?&nbsp;Check out&nbsp;HackerRank.com&nbsp;to explore our products, solutions and resources, and dive into our story and mission&nbsp;here. HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.&nbsp; Linkedin | X&nbsp;|&nbsp;Blog&nbsp;|&nbsp;Instagram&nbsp;|&nbsp;Life@HackerRank Notice to prospective HackerRank job applicants: Our Recruiters use @hackerrank.com email addresses. We never ask for payment or credit check information to apply, interview, or work here.

Staff AI Scientist

HackerRank helps thousands of companies like OpenAI, NVIDIA,&nbsp;and&nbsp;Amazon hire developers based on their skills vs. pedigree, and also nurtures a community of millions of developers to upskill themselves to become next-gen developers. The people at HackerRank care deeply about their work and have an extremely intense work ethic. In many companies, speed &amp; quality is a tradeoff. At HackerRank, it’s not -- we expect you to ship in about half the time that most competent people think is possible while maintaining a standard of quality you’d proudly sign your name on. The only way to make this happen is if you truly love your craft and are deeply committed to growth.About the role We’re hiring a Senior Go-To-Market TA Partner to accelerate GTM hiring out of our Santa Clara office. This role is built for someone who already speaks GTM quota, pipeline, QBRs, retention, and expansion and can plug into an active motion with minimal ramp. You’ll work closely with leaders to build high-quality GTM teams that directly impact revenue. This is a hands-on, on-site role designed for a recruiter who values ownership, speed, and sharp hiring judgment. Who you are A senior recruiter with 7-8 years of experience hiring for go-to-market, revenue, or customer-facing roles in tech or SaaS Deeply familiar with modern GTM motions and metrics-&nbsp; from quota-carrying roles and pipeline health to renewals, expansion, and churn Confident hiring for complex, technical GTM roles Known for strong hiring judgment and the ability to assess GTM talent in a real business and revenue context A credible GTM storyteller, able to represent roles, teams, and growth narratives clearly to senior candidates Comfortable operating in fast-moving, high-ownership environments with minimal process and high expectations What you’ll do Own end-to-end hiring for GTM roles across Sales, Solutions Engineering, Sales Engineering, and Customer Success Partner closely with GTM leaders, hiring in the context of quotas, territories, pipeline health, and revenue goals Build high-signal pipelines through proactive sourcing and an existing GTM network Balance speed and quality, with a strong focus on candidate experience, close rates, and hiring outcomes Operate as a true hiring partner, driving decisions rather than managing process Even better if you have Experience recruiting for complex, technical SaaS or product-led companies A strong, active network of Solutions Engineers, CAMs and Sales Engineers Exposure to supporting fast-scaling or high-growth GTM teams Experience hiring across multiple GTM functions in parallel Comfort working closely with senior stakeholders in an on-site environment You’ll thrive in this role if Credibility with Sales, Solutions, and Revenue leaders comes naturally Outcomes matter more than funnel volume Hands-on, decisive work is energising Direct impact on growth and revenue is a key motivator Compensation Base salary range: $120000 – $160000 This range doesn't include stock options or benefits. Salary may be adjusted based on business needs. Final offer may vary based on skills, experience, location, and other compensation components. Want to learn more about HackerRank?&nbsp;Check out&nbsp;HackerRank.com&nbsp;to explore our products, solutions and resources, and dive into our story and mission&nbsp;here. HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.&nbsp; Linkedin | X&nbsp;|&nbsp;Blog&nbsp;|&nbsp;Instagram&nbsp;|&nbsp;Life@HackerRank Notice to prospective HackerRank job applicants: Our Recruiters use @hackerrank.com email addresses. We never ask for payment or credit check information to apply, interview, or work here.

Senior Talent Acquisition Partner- GTM

HackerRank helps thousands of companies like OpenAI, NVIDIA,&nbsp;and&nbsp;Amazon hire developers based on their skills vs. pedigree, and also nurtures a community of millions of developers to upskill themselves to become next-gen developers. The people at HackerRank care deeply about their work and have an extremely intense work ethic. In many companies, speed &amp; quality is a tradeoff. At HackerRank, it’s not -- we expect you to ship in about half the time that most competent people think is possible while maintaining a standard of quality you’d proudly sign your name on. The only way to make this happen is if you truly love your craft and are deeply committed to growth.About the Role We are seeking a Staff AI Scientist with deep expertise in machine learning fundamentals and a proven track record of building and evaluating advanced AI systems. This role is for someone who thrives at the intersection of data science, statistics, and ML engineering, with an emphasis on dataset rigor, metric design, and evaluation methodology. At the staff level, you will set the direction for how we evaluate AI systems, work across teams to ensure scientific rigor is balanced with product and engineering needs, and deliver both datasets and pipelines that stand up to scrutiny. What you’ll do Dataset Preparation &amp; Evaluation Design, prepare, and curate high-quality evaluation datasets with defensible methodology. Define criteria for dataset construction, ensuring statistical rigor, reproducibility, and fairness. Develop new metrics and evaluation frameworks to measure model performance in nuanced ways. Model Evaluation &amp; ML Engineering Evaluate LLMs and other pre-trained models using carefully chosen datasets and metrics. Build scalable pipelines for training, fine-tuning, and benchmarking models. Contribute to projects involving fine-tuning, retrieval-augmented generation (RAG), and other adaptation methods. Cross-Functional Leadership Partner with product and engineering to align scientific rigor with business outcomes. Define evaluation standards and ML lifecycle practices that raise the bar across the company. Mentor scientists and engineers, guiding best practices in experimentation, statistics, and ML development. Who you are Education: Master’s degree (PhD preferred) in Computer Science, Statistics, Machine Learning, or a related quantitative field. Strong background in mathematical and statistical foundations of machine learning (probability, linear algebra, optimization, experimental design). Demonstrated experience in end-to-end ML lifecycle: dataset preparation, model training, evaluation, deployment, and monitoring. Proven expertise in evaluation dataset design and metric creation, not just using existing benchmarks but knowing when and how to improve them. Experience with LLM evaluation, fine-tuning, and RAG, with the engineering skills to build production-ready pipelines. Track record of strategic impact at a staff or principal level setting evaluation and research standards across teams. Even better if you have Publications, open-source contributions, or widely adopted benchmarks in ML/AI. Prior experience shaping AI evaluation frameworks at an organizational or industry level. Comfort working at the interface of science, engineering, and product. You will thrive in role if You define gold-standard evaluation datasets and metrics that internal teams adopt as a standard. You ship datasets and pipelines that are statistically rigorous, reproducible, and scalable. You elevate the organization’s ML practice by embedding sound statistical and scientific methodology into product and engineering work. You are recognized as a thought leader who sets strategy while still contributing technically at depth. Want to learn more about HackerRank?&nbsp;Check out&nbsp;HackerRank.com&nbsp;to explore our products, solutions and resources, and dive into our story and mission&nbsp;here. HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.&nbsp; Linkedin | X&nbsp;|&nbsp;Blog&nbsp;|&nbsp;Instagram&nbsp;|&nbsp;Life@HackerRank Notice to prospective HackerRank job applicants: Our Recruiters use @hackerrank.com email addresses. We never ask for payment or credit check information to apply, interview, or work here.

HackerRank helps thousands of companies like OpenAI, NVIDIA,&nbsp;and&nbsp;Amazon hire developers based on their skills vs. pedigree, and also nurtures a community of millions of developers to upskill themselves to become next-gen developers. The people at HackerRank care deeply about their work and have an extremely intense work ethic. In many companies, speed &amp; quality is a tradeoff. At HackerRank, it’s not -- we expect you to ship in about half the time that most competent people think is possible while maintaining a standard of quality you’d proudly sign your name on. The only way to make this happen is if you truly love your craft and are deeply committed to growth.About the role This role sits at the center of our hiring engine and our Bengaluru office, ensuring both run smoothly and efficiently. You’ll enable fast, high-quality execution behind the scenes – connecting people, information, and processes with clarity and intent. It’s a hands-on operational role that blends coordination, systems expertise, and onsite support, all aimed at creating a seamless experience for candidates and our internal stakeholders. What you'll do Coordinate the complete interview lifecycle scheduling, kick-offs, debriefs, and meet-and-greets with accuracy across global time zones. Manage Greenhouse with ownership: job approvals, postings, updates, templates, automation, reporting, and workflow hygiene. Prepare offer letters, run approval flows, guide candidates through post-offer steps, and ensure all pre-start logistics are aligned. Enable operational flow by supporting onsite meetings and events. Who you are Exceptionally organized with a knack for creating structure, reducing friction, and keeping processes moving. A Greenhouse power user who has a deep understanding of custom workflows, templates, automation rules, bulk actions, reporting, and best practices end-to-end. AI-native and proactive in using tools, prompts, and insights to streamline coordination and remove manual steps. A clear communicator who builds trust with candidates, hiring managers, and cross-functional teams. Calm, resourceful, and detail-driven in a fast-paced, operationally heavy role. Even better if you have Have supported hybrid teams or multi-location office environments. Are fast at learning tools and uncovering AI use cases that save time in coordination and communication. Can troubleshoot scheduling conflicts or workflow issues independently. You will thrive in this role if Precision, systems thinking, and operational clarity come naturally to you. Spotting inefficiencies and converting them into streamlined, repeatable processes feels energizing. Clear communication and composure remain steady even as priorities shift. Being the connective layer across TA, office operations, and people ops is something you genuinely enjoy. Helping teams move faster and creating a thoughtful candidate experience gives you a sense of purpose. Want to learn more about HackerRank?&nbsp;Check out&nbsp;HackerRank.com&nbsp;to explore our products, solutions and resources, and dive into our story and mission&nbsp;here. HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.&nbsp; Linkedin | X&nbsp;|&nbsp;Blog&nbsp;|&nbsp;Instagram&nbsp;|&nbsp;Life@HackerRank Notice to prospective HackerRank job applicants: Our Recruiters use @hackerrank.com email addresses. We never ask for payment or credit check information to apply, interview, or work here.

Talent Acquisition Coordinator

HackerRank helps thousands of companies like NVIDIA&nbsp;and&nbsp;Amazon hire developers based on skills rather than pedigree, and also nurtures a community of millions of developers to upskill and become next-gen developers. The people at HackerRank care deeply about their work and have an extremely intense work ethic. In many companies, speed &amp; quality are a tradeoff. At HackerRank, it’s not; we expect you to ship in about half the time that most competent people think is possible while maintaining a standard of quality you’d proudly sign your name on. The only way to make this happen is to truly love your craft and be deeply committed to growth.About the role In this role, you will be a part of the Finance team, which is responsible for all financial transactions of the company.&nbsp;The Accounting manager will own the month-end, quarter-end, and year-end close and compliance processes across US, UK, and India entities. They will oversee account reconciliations and ensure compliance with GAAP and internal accounting policies. What you’ll do: Close &amp; Financial Controls Lead month-end, quarter-end, and year-end close processes Ensure compliance with GAAP/IFRS and internal accounting policies Perform Bank and Cash reconciliations Oversee account reconciliations and resolve discrepancies Perform reasonableness testing on P&amp;L and balance sheet movements Intercompany &amp; Global Accounting Record and review intercompany management fees Own intercompany entries and eliminations Perform intercompany reconciliations across: US, UK, India, and consolidated books Compliance, Tax &amp; Audit Support Maintain and update the global compliance calendar workbook Maintain strong documentation and audit-ready schedules Assist with - US tax filings and coordination with tax advisors You will thrive in this role if you: Customer-Centric Approach: Clear communication with non-technical employees with a proactive problem-solving approach.&nbsp; Attention to Detail: This role needs to be highly detail-oriented to ensure accuracy in processing sales incentives and monthly payouts. Organizational Skills: Efficiently manage dual responsibilities across various functions like AP, Payroll, GL, and Bank while tracking numerous transactions. Process Improvement Mindset: Maintain efficiency and accuracy in the accounting system&nbsp; Integrity: Maintain confidentiality of sensitive financial data What you bring: Experience: 5+ years in related finance roles, with a solid understanding of multi-currency, multi-entity accounting principles. Technical Skills: Advanced proficiency in Microsoft Excel and Google Sheets, with hands-on experience in NetSuite, and at least one AP or Payroll software. Attention to Detail: Strong focus on accuracy and the ability to manage complex financial transactions. Communication Skills: Excellent interpersonal skills to effectively interact with internal stakeholders. Education: Bachelor's degree in Accounting or Finance. Growth Mindset: Eagerness to learn and develop within the accounting and finance field. Want to learn more about HackerRank?&nbsp;Check out&nbsp;HackerRank.com&nbsp;to explore our products, solutions and resources, and dive into our story and mission&nbsp;here. HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.&nbsp; Linkedin | X&nbsp;|&nbsp;Blog&nbsp;|&nbsp;Instagram&nbsp;|&nbsp;Life@HackerRank Notice to prospective HackerRank job applicants: Our Recruiters use @hackerrank.com email addresses. We never ask for payment or credit check information to apply, interview, or work here.

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