Senior Product Manager

• Own the product strategy & roadmap for explainability tools, ensuring the platform evolves with the needs of AI/ML developers building LLM-powered applications
• Leverage your understanding of language models and ML systems to guide product decisions and the integration of proprietary explainability technologies, tooling, and processes
• Engage deeply with the AI/ML developer community (customers, prospects, and partners) to uncover pain points, gather feedback, and shape solutions that meaningfully improve their development and debugging workflows
• Lead cross-functional teams including AI/ML experts, engineers, and designers to deliver robust, scalable, and intuitive tools, SDKs, and APIs for LLM evaluation and explainability
• Drive and participate in technical discussions with AI/ML practitioners, using your technical fluency to challenge assumptions, refine designs, and push product innovation
• Prioritize features and enhancements using customer feedback, market and competitive research, and emerging technical capabilities in LLMs and evaluation
• Collaborate with Marketing and Sales on go-to-market strategies, launch plans, and positioning to ensure strong adoption, clear messaging, and commercial impact

• Strong working knowledge of modern LLMs and ML systems: how they’re trained, fine-tuned, evaluated, and deployed
• Familiarity with techniques to modify LLM behavior (prompt engineering, system prompts, fine-tuning, RAG, guardrails, evaluators, safety filters, etc.)
• Experience designing or working with LLM-based solution architectures (pipelines, agents, evaluators, monitoring)
• Ability to read and discuss code, especially in Python (bonus: you’ve written scripts, notebooks, or small services yourself)
• Comfort collaborating with engineers on APIs, SDKs, schemas, and data models for developer-facing products
• Experience building products for technical users (ML engineers, data scientists, platform teams, infra/dev-tools users, etc.)
• 6+ years in Product Management, with at least 2–3 years on AI/ML, data, infra, or developer tools products
• Demonstrated ability to own a product area end-to-end: vision, roadmap, requirements, execution, launch, and iteration
• Strong discovery skills: interviewing technical users, synthesizing insights, and turning them into clear problem statements and PRDs
• Experience defining metrics and evaluation frameworks (e.g., quality metrics, reliability, adoption, and engagement) and using them to drive decision-making

Bonus: you’ve written scripts, notebooks, or small services yourself

• equity (RSUs)
• bonus