Momentive Software amplifies the impact of over 20,000 purpose-driven organizations globally, providing cloud-based software and services. The Senior Product Manager will bridge product and commercial outcomes, leading the product lifecycle while utilizing AI tools to enhance decision-making and drive revenue growth.
Responsibilities:
- Partner directly with multiple functions including Sales, CS, and Marketing as peers, translating GTM data into product priorities
- Own in-product upsell and cross-sell surfaces spanning a portfolio of products
- Identifying the moments where expansion is natural, building the flows, and tying them to measurable revenue outcomes
- Manage enterprise onboarding complexity including multi-stakeholder setup flows, provisioning, guided configuration, and integrations across a portfolio of products
- Trace how product changes influence acquisition, activation, and expansion metrics and build business cases accordingly
- Use AI tools as core infrastructure in daily work
- Compress discovery and validation cycles by using AI to synthesize customer feedback, analyze competitive landscapes, and generate first-draft artifacts
- Architect analysis pipelines using AI to query and synthesize large datasets, extract patterns from user interviews, and surface insights
- Continuously evolve AI toolkit and share effective patterns with the broader product organization
- Prototype and validate product concepts rapidly
- Maintain deep fluency in the AI product landscape
- Own and communicate the strategic roadmap for assigned product area
- Identify where AI creates transformative value versus incremental improvement
- Think architecturally to build capabilities that solve multiple problems
- Translate quantified customer signals into product decisions
- Lead the full product lifecycle: discovery, definition, development, evaluation, launch, and iteration
- Ship iteratively and establish feedback loops with real users early and often
- Other duties as assigned
Requirements:
- Bachelor's degree or equivalent work experience
- 5+ years of product management experience in a software/SaaS environment
- 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
- Experience working with engineering teams on AI/ML systems (model integration, context engineering, evaluation pipelines, data quality)
- Working understanding of foundation models, their capabilities, limitations, and appropriate use cases
- Familiarity with AI product patterns: RAG, agentic workflows, embeddings, fine-tuning, and evaluation frameworks
- Understanding of APIs, cloud infrastructure, data pipelines, and modern development practices
- Comfort using AI-assisted development and prototyping tools (e.g., Claude, Cursor, or similar) to validate concepts and accelerate decision-making
- Revenue fluency: ability to read customer signals as product priorities with dollar values attached, including churn risk, deal blockers, and expansion opportunities
- Strong analytical skills with experience using data to drive prioritization, measure outcomes, and build business cases
- Excellent written and verbal communication, with the ability to produce clear product specs, strategy documents, and stakeholder communications
- Ability to lead cross-functional teams through influence, not authority
- Comfort operating with high autonomy and high accountability, owning outcomes, not just activities
- Experience building or shipping product capabilities that incorporate AI/ML, with at least one production deployment preferred
- Background in the Association or Non-Profit space is a bonus