Product Manager

Work type: Full time · Department: Product · Workplace: On-Site

San Francisco, California, United States

About the Role

We are looking for a Senior Product Manager to own the strategy, roadmap and delivery of our AI-powered product suite for B2B SaaS customers. You will work closely with engineering, data science, design, sales and customer success to turn customer problems into measurable business outcomes.

Key Responsibilities

  • Own the product vision, strategy and roadmap for AI/ML and LLM-powered features, including search, summarization, recommendations and automation

  • Run customer discovery through interviews, data analysis and market research, then translate findings into clear PRDs, user stories and acceptance criteria

  • Prioritize the backlog using frameworks such as RICE and OKRs, balancing customer impact, revenue and technical effort

  • Define success metrics and AI quality measures, including accuracy, hallucination rate, latency and cost per query, and track them after launch

  • Design and run A/B experiments to improve adoption, conversion and retention

  • Lead cross-functional teams of engineers, data scientists and designers through agile/Scrum delivery

  • Partner with Sales, Marketing and Customer Success on go-to-market, pricing, packaging and enablement

  • Present roadmap, progress and results to senior leadership and key customers

Required Qualifications

  • 5+ years of product management experience in a B2B SaaS or enterprise software company

  • Proven experience shipping AI/ML, LLM, NLP or generative AI products from concept to launch

  • Strong track record of quantified impact (ARR growth, retention, adoption, NPS or cost reduction)

  • Proficiency in SQL and product analytics tools such as Mixpanel, Amplitude or Looker

  • Hands-on experience with A/B testing, funnel and cohort analysis

  • Experience writing PRDs and managing roadmaps in Jira, Linear, Productboard or similar tools

  • Excellent stakeholder management and communication skills

  • Bachelor’s degree in Engineering, Computer Science or a related field (MBA preferred)

Preferred Qualifications

  • Experience with RAG, prompt evaluation or the ML model lifecycle

  • Understanding of responsible AI, privacy and AI governance

  • Experience with pricing and packaging for AI or usage-based products

  • Product certifications such as CSPO or Pragmatic Institute

  • Experience mentoring junior product managers

Skills

Product strategy, roadmap planning, AI/ML, LLM, generative AI, RAG, B2B SaaS, SQL, Mixpanel, Amplitude, A/B testing, OKRs, PRD, go-to-market, stakeholder management, agile, Jira

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