Jobs at HackerRank

Lead and develop the Commercial Account Management team, driving retention, renewals, expansion, and revenue goals. Establish account management, forecasting, customer health, QBR, and upsell practices. Coach managers through complex renewals, negotiations, and recovery plans while partnering with Finance, Legal, Deal Desk, Product, Engineering, Marketing, and Sales. Use Salesforce data and customer signals to manage risk, improve adoption, guide forecasts, and communicate commercial opportunities to leadership.

Own and execute integrated brand and marketing campaigns across social, digital, events, presentations, reports, and product launches. Develop visual concepts, scalable campaign systems, and production-ready assets while applying and evolving HackerRank’s brand system. Collaborate with marketing, product, agencies, and production partners; present creative decisions; manage projects independently; and maintain high standards for craft, consistency, and visual storytelling.

Build and lead scalable test automation across web, APIs, workflows, and AI-driven systems using Playwright and SerenityJS. Develop JavaScript and TypeScript test suites, integrate quality gates into Jenkins or GitHub Actions, analyze failures, conduct code reviews, define acceptance criteria, mentor teams, and improve automation metrics. The role emphasizes regression, integration, system, end-to-end, accessibility, desktop, and API testing within containerized SaaS environments.

As a Forward Deployed Engineer, you'll engage with customers to design and implement effective technical solutions, ensuring high-quality experiences and project success while collaborating with various teams.

Research and develop advanced deep learning models, neural architectures, agentic AI systems, and reasoning engines. Explore architectures beyond Transformers, fine-tune models with PEFT, optimize inference efficiency, and design rigorous evaluation frameworks. Translate novel research into scalable, production-grade AI systems while reproducing and extending research papers and contributing to model benchmarking, statistical validation, and low-latency deployment.

Leads the technical vision, architecture, roadmap, and execution for HackerRank’s high-scale assessment platform. Designs resilient distributed systems supporting 100,000+ concurrent users, drives reliability and security, partners with Product and infrastructure teams, and hires, mentors, and develops engineering talent. The role balances hands-on technical leadership, agile delivery, AI-assisted development practices, and long-term platform scalability.

The role involves end-to-end recruitment for GTM roles, collaborating with leaders to build effective teams, emphasizing speed and quality in hiring.

Lead customer-facing technical engagements, including discovery, pilots, demos, and onsite collaboration. Configure and debug web applications and integrations, create API scripts in Ruby or Python, gather requirements, shape solutions, and guide projects from scoping through delivery. Partner with Product, Engineering, and go-to-market teams to support customer adoption and communicate technical concepts to both engineers and business stakeholders.

The Technical Solutions Engineer at HackerRank will provide exceptional customer support, solve complex technical challenges, and enhance user experience through automation and AI.

Investigate and resolve customer issues involving web applications, APIs, integrations, authentication, configurations, and data. Use logs, developer tools, SQL, and AI tools to identify root causes, communicate clearly with customers and internal teams, escalate confirmed product issues, and improve documentation, automation, and tooling. Maintain queue health, meet service levels, and participate in rotational shifts and occasional on-call coverage.

Design, build, and maintain cloud infrastructure and CI/CD pipelines using Terraform, Docker, and Kubernetes. Implement monitoring, incident response, and performance tuning for services like Redis, RDS, Redshift, Elasticsearch, and Kafka. Partner with security and platform teams, drive cost optimization, and evangelize DevOps best practices to enable developer productivity.

Leads complex and escalated technical customer issues from investigation through resolution and prevention. Diagnoses problems across web applications, APIs, integrations, authentication, data, and code paths; builds scripts, automations, integrations, and AI-enabled workflows; supports high-severity incidents; communicates with enterprise customers; develops runbooks and product improvements; and mentors junior engineers. Requires rotational shifts and occasional on-call coverage.

Six-month, full-time onsite software engineering internship in Bengaluru. Interns receive mentorship, contribute production code to real-world projects, collaborate across engineering, product, and design teams, and may be considered for returning full-time or internship offers. The role emphasizes high-quality coding, developer-focused products, ownership, communication, and continuous improvement.

Write researched long-form narratives, concise X posts, video scripts, and founder content about AI, developer tools, engineering culture, and technical hiring. Lead a small team of writers and freelancers, establish the company’s voice and editorial standards, and translate complex technical ideas accurately for engineers and executives. The role is fully in-office in Bengaluru and requires strong range, editorial judgment, technical understanding, and effective use of AI writing tools.

Manage a portfolio of mid-market SaaS customers, driving product adoption, retention, renewals, satisfaction, and basic expansion opportunities. Conduct customer check-ins, resolve issues, support standard contract processes, maintain CRM records, and collaborate with Sales, Product, and Support. Serve as a trusted advisor to HR, talent, and technical stakeholders while translating complex concepts into accessible language.

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.

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.

Provides Tier 1 and Tier 2 global employee IT support while administering macOS endpoints, identity platforms, SaaS applications, access workflows, and IT assets. Manages onboarding, offboarding, device lifecycle, office technology, vendors, security compliance evidence, and service improvements. Resolves complex issues, automates repetitive workflows, creates documentation, and leads assigned IT projects. Requires in-person attendance five days weekly at the Santa Clara office.

Architect and lead scalable backend systems powering core product experiences. Own service reliability, performance, APIs, data models, monitoring, incident response, refactoring, and technical strategy. Lead cross-functional initiatives, mentor engineers, establish engineering standards, and evaluate AI-powered development and backend integration practices. The role requires distributed-systems expertise, database optimization, event-driven architecture, cloud infrastructure, containerization, and strong AI/ML fluency.

The role involves designing and implementing production ML systems, mentoring junior engineers, and establishing best practices for ML performance and evaluation.