As the Senior Product Manager you will own the product for a fully custom agentic platform being built from the ground up, and will need to think far beyond the chat experience
You don't need to be an engineer, but you need to reason fluently about how architectural choices affect product decisions
You will own multi-agent workflow design: defining what jobs agents perform, how tasks are decomposed across agents, and where human-in-the-loop checkpoints belong
You will need to understand a wide ranging set of domains, expanding across multiple products serving different customer segments — you will think across abstraction and customization, knowing what to generalize and what must be tailored per product or vertical
Use AI tools as core infrastructure in your daily work, not as novelties, but as force multipliers for research, analysis, communication, and decision-making, including:
Compress discovery and validation cycles by using AI to synthesize customer feedback, analyze competitive landscapes, and generate first-draft artifacts (PRDs, specs, mockups) that you then refine with product judgment
Architect your own analysis pipelines: use AI to query and synthesize large datasets, extract patterns from user interviews, and surface insights that would otherwise require weeks of manual effort
Continuously evolve your AI toolkit and share effective patterns with the broader product organization
Prototype and validate product concepts rapidly. Arrive at planning discussions with working proofs-of-concept, not just slide decks
Maintain deep fluency in the AI product landscape: what competitors are building, what customers are adopting, and where the technology is heading
Own and communicate the strategic roadmap for your assigned product area. Identify where AI creates transformative value versus incremental improvement, and prioritize accordingly
Think architecturally: build capabilities that solve multiple problems and expand the product's surface area, rather than addressing isolated requests
Translate quantified customer signals (revenue impact, churn risk, deal blockers) into product decisions that go beyond feature requests
Lead the full product lifecycle: discovery, definition, development, evaluation, launch, and iteration. Own execution with engineering teams. Partner with GTM teams to ensure product capabilities are positioned, launched, and adopted
Ship iteratively: establish feedback loops with real users early and often, and use data to inform the next cycle
Other Duties as assigned
Experience:
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 building or shipping product capabilities that incorporate AI/ML, with at least one production deployment preferred
Experience working with engineering teams on AI/ML systems (model integration, context engineering, evaluation pipelines, data quality)
Other Skills:
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
Background in the Association or Non-Profit space is a bonus
#LI-MH1 #momentivesoftware
Momentive Software amplifies the impact of over 20,000 purpose-driven organizations in over 30 countries, with over $11 billion raised and 55 million members served to date. Mission-driven nonprofits and associations rely on Momentive’s cloud-based software and services to address their most pressing challenges – from engaging their communities to simplifying operations and growing revenue. Designed to help organizations connect more, manage more, and ultimately expect more, Momentive's solutions are built with reliability at the core and strategically focus on fundraising, learning, events, careers, volunteering, accounting, and association management. Momentive partners with organizations that believe "good enough" is never enough – so they can bring on better outcomes for everyone they serve. Learn more at momentivesoftware.com.
At Momentive Software, we’re a team of passionate problem-solvers, innovators, and volunteers who believe in using technology to make a real difference. We dream big, support each other, and take pride in creating solutions that help our customers drive meaningful change. If you’re looking for a place where your work matters and your ideas are valued, you’ll find it here.
Medical, Dental & Vision Benefits
401(k) Savings Plan with Company Match
Flexible Planned Paid Time Off
Generous Sick Leave
Inclusive & Welcoming Environment
Purpose-Driven Culture
Work-Life Balance
Commitment to Community Involvement
Employer-Paid Parental Leave
Employer-Paid Short-Term Disability
Remote Work Flexibility
Momentive Software actively embraces diversity and equal opportunity in a meaningful way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be, which is why we do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
All persons hired will be required to verify identity, minimum age of 18, eligibility to work in the United States (without sponsorship), and to complete the required employment eligibility verification form upon hire.