Product Manager
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Job Description
Product Manager owning vision, research, prototyping, delivery, and adoption for AI-assisted SaaS products. Driving roadmaps, agile execution, launches, and measurable customer outcomes.
Responsibilities:
- Develop, validate, and communicate product vision and strategy for assigned areas
- Own and maintain product roadmaps, communicating status, sequencing, and trade-offs
- Partner with Product Leadership to prioritize the product area and manage cross-team dependencies
- Participate in product pricing and packaging decisions
- Conduct user and market research on personas, customer segments, and competitors
- Use AI-assisted research and synthesis while validating conclusions with real customers
- Frame hypotheses, define disconfirming evidence, and run lightweight experiments
- Query, chart, and analyze product and usage data to size opportunities
- Partner with Design on exploratory, interaction, and fit-and-finish work
- Build low- and mid-fidelity mockups and clickable prototypes using the design system and AI-assisted prototyping tools
- Translate user needs into problem statements, user stories, and acceptance criteria
- Participate in agile sprint planning, backlog refinement, and retrospectives with Engineering
- Lead prioritization and backlog management as the primary contact for technical teams
- Use feature flags, staged rollouts, and internal dogfooding to support frequent releases
- Establish product goals and track outcome metrics
- Lead launches with Marketing, Sales, Support, and Customer Success
- Provide positioning, demos, and enablement materials for launches
- Monitor post-launch metrics and customer feedback and feed learnings into the roadmap
Requirements:
- 3+ years of experience in agile product management
- Deep understanding of product management methodologies across discovery, prioritization, and delivery
- Demonstrated fluency using AI tools in day-to-day product work, including research synthesis, drafting and stress-testing specs, prototyping, and data analysis
- Sound judgment about where AI output requires human verification
- Hands-on ability to produce mockups and interactive prototypes using a design system and modern prototyping tools such as Figma, component libraries, and AI prototyping tools
- Ability to write or generate queries, read dashboards, and quantify an opportunity independently
- Experience conducting user and market research and synthesizing needs and opportunities
- Superior communication skills to evangelize the product area and articulate user and business needs
- Ability to identify and work with Design and Engineering to solve ambiguous problems
- Self-motivated, with strong task and time management skills
- Nice to have: experience shipping AI- or ML-powered product capabilities, including evaluation, accuracy thresholds, human-in-the-loop design, and earning user trust
- Nice to have: background in B2B or enterprise SaaS, particularly in logistics, supply chain, or financial operations
- Nice to have: familiarity with feature flagging, A/B testing, and continuous delivery practices
- Nice to have: experience partnering with data or platform teams on API- and integration-heavy products
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