Jobs at HackerRank

The Engineering Manager - Data will lead the Data Engineering team, defining the technical vision, building data systems, and mentoring engineers while driving execution and strategic planning.

The Strategic Customer Account Manager will manage strategic enterprise customer relationships, driving adoption, retention, and measurable business impact through deep partnerships and account strategies.

Lead Frontend Engineer responsible for developing user experiences, architecting scalable systems, ensuring performance and accessibility, mentoring engineers, and contributing to AI features.

As a Technical Support Engineer, you'll troubleshoot issues, collaborate with engineering, guide customers through platform integrations, and ensure an exceptional user experience.

Design and run research to define "good" performance for AI-assisted coding evaluations; build datasets and annotation frameworks; audit and mitigate bias; conduct customer interviews; document methodology; integrate psychometrics and fairness literature into evaluation systems.

Lead the evaluation product roadmap, define rubrics and scoring dimensions, translate methodology into shipped features with ML teams, engage enterprise customers, build feedback loops for model improvement, and own metrics proving evaluation quality.

Build and maintain backend systems, design and integrate REST/GraphQL APIs, optimize SQL/NoSQL schemas, troubleshoot production issues, and write unit/integration tests to ensure scalability, reliability, and performance.

The Senior Backend Engineer will architect and implement backend systems, lead technical initiatives, mentor engineers, and ensure system reliability, performance, and scalability.

As a Forward Deployed Engineer, you will lead customer engagements, partner with stakeholders to uncover developer needs, and oversee project execution, leveraging technical skills in web applications and API scripting.

Serve as the primary technical presence onsite for customers: lead discovery, pilots, and demos; configure, debug, and integrate web applications; write API scripts (Ruby or Python); collaborate with Product, Engineering, and GTM teams; use tools including AI to accelerate outcomes and keep customer projects on track.

Own and evolve HackerRank's data platform (StarRocks, Apache Hudi, Trino, Spark, Ranger), build AI-optimized data layer for natural language querying, deliver in-product data features and self-serve pipelines, enforce data security, lead technical design reviews, and partner with PMs to scope AI-enabled use cases.

The Web Experience Engineer will lead in creating immersive web experiences using Framer, collaborating with teams to enhance the brand's online presence and performance.

The Sales Operations Analyst supports sales and marketing by maintaining data accuracy, providing sales enablement, executing data imports, and assisting in cross-functional projects.

As a Senior DevRel Engineer, you will build and scale a developer community, create coding challenges, and nurture developer engagement while acting as a strategic partner to internal teams.

Design, build, and maintain scalable automation frameworks and REST API tests. Integrate automated tests into CI/CD, investigate failures, run regression/integration/end-to-end suites, participate in design and code reviews, and collaborate with cross-functional teams to improve quality and metrics.

The Backend Engineer II will design and build backend systems, develop APIs, manage databases, and optimize application performance while collaborating with team members to deliver high-quality code and solutions.

The Strategic Account Executive drives new business sales through pipeline management and relationship building with Fortune 500 companies, focusing on talent acquisition and technical leadership. A strong focus on ownership and collaboration is necessary for success.

The AI Data Operations Manager will oversee data operations and vendor management, automate workflows, and ensure data quality for ML models. This role requires collaboration between teams and hands-on experience with AI technologies.

The role involves developing Chakra, an AI interviewer, focusing on conversation management, evaluation methodologies, and ensuring the quality of interviews at scale.

Design and implement ML systems focusing on integrity signals, improve performance, evaluate new models, and address adversarial dynamics.