AI-Native Senior Product Manager

Job Description Position Summary: We are looking for a Senior Product Manager who leads with product instinct, operates with AI tools as core infrastructure, and ships products that help our customers and our business achieve their goals.

This role is built for a product manager with genuine AI fluency who uses it to operate at a different level — compressing research cycles, accelerating decisions, and raising the quality of everything the team produces. You will own a product area end-to-end, from market and customer understanding through roadmap delivery and cross-functional alignment, working closely with engineering, design, customer success, and go-to-market teams to make sure what we build solves real problems and delivers measurable value. Your work will help our customers reach their goals and drive Momentive’s growth forward.

This position reports to the Director of Product Management. This is a remote, US-based position.

Key Responsibilities

• Develop a deep understanding of the market, competitive dynamics, and emerging trends — and engage directly with users and buyers through interviews, data analysis, and feedback loops to uncover pain points, use cases, and unmet needs.
• Own and evolve a 6–12 month roadmap for your product area — managing dependencies, tracking delivery, and adjusting as priorities shift — while keeping a clear line of sight to whether delivery translates into customer adoption, retention, and revenue.
• Translate stakeholder input and customer needs into structured initiatives and epics, ensuring clarity and alignment across teams.
• Define and own the KPIs that measure product health and validate whether released features actually deliver value — then use what you learn to drive the next cycle
• Use AI tools as core tools in your daily work — not as novelties, but as force multipliers for research, analysis, communication, and decision-making:
• Compress discovery and validation cycles by using AI to synthesize customer feedback, analyze competitive landscapes, dig through large datasets and interviews, and generate first-draft artifacts (PRDs, specs, user stories) that you then refine with product judgment.
• Use AI for rapid prototyping: build working prototypes to put in front of customers and validate direction early and often.
• Arrive at planning discussions with working analyses and a clear point of view — not just slide decks.
• Act as a central point of communication between Engineering and business-facing teams (Sales, Marketing, Customer Success), and partner with senior leadership to define and communicate your product area’s vision and positioning.
• Champion innovation within your product area — identifying opportunities for differentiation and running experiments that test new ideas quickly.
• Manage Product Owners and mentor Product Managers: provide direction, coaching, and feedback to ensure effective backlog management, well-crafted user stories, and strong execution that reflects strategic intent and customer value. Step in to absorb Product Owner duties when needed.
• Contribute to the continuous improvement of product development practices, tools, and collaboration methods across the Product organization.

Qualifications

• Bachelor’s degree or equivalent work experience; 5+ years in a software/SaaS environment, including 4+ years in a product management role with go-to-market experience.
• Demonstrated, meaningful use of AI tools in your own PM workflow. You should be able to speak concretely to how AI has changed the way you work, what it’s replaced, and where you’ve found its limits.
• Proven success driving product strategy on a 6–12 month horizon that delivers measurable customer and business outcomes — grounded in strong market analysis and an understanding of product packaging and pricing.
• Proven experience mentoring or guiding Product Owners, Business Analysts, or other product team members, and leading through influence to build strong cross-functional partnerships.
• Proven success working in Agile environments, including driving process improvement and tracking metrics for optimal team output.
• Revenue fluency and strong business acumen: able to read customer signals as product priorities with business outcomes attached — including churn risk, deal blockers, and expansion opportunities — and comfortable presenting to executives and external partners.
• Advanced understanding of networks, databases, APIs, clou…