Immediate Hiring for Technical Product Manager(AI / ML) at Fremont, CA/Hybrid

[John Tin]

Role: Technical Product Manager(AI / ML)

Location: Fremont, CA (Hybrid – 3 days)

 

Job Description:-

• Core Product & Technical Skills
• Own product strategy and execution for AI-powered features, from discovery → delivery → iteration
• Translate business problems into technical requirements (PRDs, epics, user stories) for data, ML, and engineering teams
• Strong understanding of system architecture: APIs, microservices, event-driven systems, cloud platforms (AWS/GCP/Azure)
• Comfortable working with data pipelines, feature stores, and model integratiOn

AI / ML Savvy (Practical, Not Theoretical)

·       Working knowledge of:

·       Machine Learning fundamentals (training vs inference, model lifecycle, drift)

·       LLMs, embeddings, RAG, fine-tuning, prompt design, agent workflows

·       Experience defining requirements for:

·       Model performance metrics (accuracy, latency, cost, hallucination rate)

·       Human-in-the-loop workflows

·       Understand AI trade-offs: cost, latency, explainability, bias, privacy, security

·       Ability to partner with Data Scientists & ML Engineers without being one

Data & Analytics

• Strong data fluency:
• Define KPIs for AI features (adoption, quality, trust, ROI

Execution & Delivery

• Proven ability to lead cross-functional teams (Eng, Data, Design, Security) across India and US
• Strong backlog prioritization and roadmap ownership
• Experience shipping v1 → vN products with measurable outcomes

Communication & Leadership

• Excellent written and verbal communication with:
• Engineers (technical depth)
• Executives (outcomes & trade-offs)
• Customers (value & trust)
• Comfortable making decisions in ambiguity and evolving AI landscapes
• Strong product judgment and customer empathy

Experience & Background (Typical)

• 5–10+ years in Product Management or Technical Product roles
• Prior experience with:
• AI/ML products, data platforms, or developer platforms
• B2B SaaS, platform, or enterprise environments
• Hands-on experience with AI tools (OpenAI, Anthropic, Vertex, Bedrock, etc.)
• Technical degree or strong engineering background

What Great Looks Like

• Can clearly explain what the AI is doing, why it matters, and how it fails
• Designs products where AI augments humans, not replaces judgment
• Thinks in systems, feedback loops, and long-term product health
• Balances innovation speed with responsibility and trust