Design, Prototyping & Definition

• Partner with Design on exploratory, interaction, and fit-and-finish work.
• Build your own low- and mid-fidelity mockups and clickable prototypes using our design system and AI-assisted prototyping tools — enough fidelity to test a concept with customers and align stakeholders, with craft-level design owned by Design.
• Treat the design system as a shared language: compose from documented components and tokens, reuse established patterns, and surface gaps rather than inventing one-off solutions.
• Translate user needs into crisp problem statements, user stories, and acceptance criteria. Use AI to draft and stress-test these artifacts — and own their final quality and accuracy.

Delivery

• Participate with Engineering in the agile sprint process, including sprint planning, backlog refinement, and retrospectives.
• Lead prioritization and backlog management for your area, serving as the primary point of contact for technical teams.
• Favor small, frequent releases over big-bang launches — use feature flags, staged rollouts, and internal dogfooding to learn quickly and de-risk delivery.
• Establish product goals, and set and track the metrics that show whether they were met.

Launch & Adoption

• Lead the product launch process for new products and capabilities in collaboration with Marketing, Sales, Support, and Customer Success.
• Equip product launch teams with the positioning, demos, and enablement material they need — and stay accountable for adoption after launch, not just the ship date.
• Close the loop: monitor post-launch metrics and customer feedback, and feed what you learn back into the roadmap.

SKILLS AND EXPERIENCE

• 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 — research synthesis, drafting and stress-testing specs, prototyping, data analysis — with 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 (e.g., Figma, component libraries, AI prototyping tools). You do not need to be a designer; you do need to be able to show, not just tell.
• Comfort working with data — able 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 your 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 the harder parts: evaluation, accuracy thresholds, human-in-the-loop design, and earning user trust.
• Background in B2B or enterprise SaaS, particularly in logistics, supply chain, or financial operations.
• Familiarity with feature flagging, A/B testing, and continuous delivery practices.
• Experience partnering with data or platform teams on API- and integration-heavy products.

Originally posted on Himalayas