Principal Product Manager

HackerRank Interviews is a live technical interviewing platform designed to evaluate how candidates solve realistic engineering problems, not just whether they can pass an algorithm test. Candidates and interviewers collaborate in a shared workspace using coding tools, production-style repositories, and Plan-Build-Review tasks. The platform also supports observable AI-assisted development, letting teams assess how candidates prompt, review, and apply AI-generated work, with observation tools and post-interview reports giving hiring teams clearer, structured evidence for decisions.
In this role, you'll help lead the Interviews product - an AI-native, pair-programming interview experience that gives interviewers the ability to collaborate with candidates on real-world problems and code repos. You'll shape how the platform evolves across richer ADE experiences (harnesses like Claude Code and Codex CLI), Chakra Assist for evaluation, richer session observation (screen sharing, A/V), and reporting across in-product, exports, APIs and MCP. You'll work closely with engineers as collaborators and as the product's core customer and user base including senior engineering leadership as stakeholders who care deeply about this space.

• Own the roadmap for how HackerRank Interviews evaluates AI-assisted development including richer ADE harnesses, Chakra Assist, and session observation capabilities.
• Define how the platform captures and surfaces signals on how candidates prompt, review and apply AI-generated work, so interviewers get clearer, structured evidence.
• Drive the reporting and integration strategy across in-product reporting, exports, APIs and MCP.
• Engage directly with engineering customers and users including senior engineering leadership as the primary audience for this product, translating their needs into roadmap decisions.
• Represent the product in high-visibility, customer-facing moments with composure, including when executives engage directly and unexpectedly.
• Partner closely with Engineering and Design to ship production-quality, AI-native interview experiences.
• Embrace AI - in how we operate, as well as in the product.

• Overall 7+ years of total professional experience including at least 1 year of hands-on Software Engineering.
• 5+ years of Product Management experience, preferably building B2B SaaS, enterprise products and/or tech services and/or platforms, and you are currently working as a PM today.
• Comfortable being the technical/product voice in a room full of engineers, including stakeholders like senior engineering leadership
• Able to stay composed and sound under sudden high-visibility pressure for example, a CTO persona dropping into a live customer channel.
• A strategic thinker who can evaluate complex challenges, prioritise effectively, and balance short-term progress with long-term success.
• Deeply passionate about AI using it as a reflex across your own workflows, not just in the product you build.
• Ability to deep dive into ambitious problem statements and create customer value.
• Proven track record of successfully launching and growing new products and/or significant features.
• Ability to work in a fast paced cross team, cross geo environment and to deliver on a common vision.
• Ability to work with engineers, designers and analysts and be comfortable presenting to non-technical/business stakeholders and customers.

• Hands-on fluency with agentic coding harnesses (Claude Code, Codex CLI, Cursor, Copilot Workspace, or similar) deep enough to reason about what a good  AI-assisted engineering actually looks like.
• Experience designing or owning a GTM motion where the buyer and user were engineers or engineering leadership, rather than a traditional non-technical economic buyer.
• Experience operating in a lean, founder-style team with no dedicated marketing support i.e., you've personally built your own sales decks, messaging and customer-facing materials before, not just briefed a marketing team.
• Background in HR tech, talent assessment, or technical hiring.
• Experience building reporting/analytics or API-level integrations (e.g. MCP, data exports) for a technical audience.

• You are a builder at heart. You enjoy creating something from scratch, transforming ideas into tangible, high-impact products.
• Ambiguity excites you. You’re comfortable working in undefined spaces, carving out clarity where little exists, and defining a clear vision and strategy.
• You take a customer-first approach. You excel at identifying unmet customer needs and turning those insights into innovative product solutions.
• You are a strategic thinker. You can evaluate complex challenges, prioritise effectively, and make decisions that balance short-term progress with long-term success.
• You thrive in fast-paced environments. You’re energised by working on high-impact initiatives where priorities can shift as you gain new insights.
• You have a bias for action. You’re not afraid to experiment, iterate, and learn quickly in pursuit of delivering exceptional outcomes.
• You are deeply passionate about AI. You’re in the weeds and trying out AI tools constantly and are at a point where you are using AI as a reflex to try and automate several workflows in your life and 10x yourself.