Momentive Software offers cutting-edge software for nonprofits. Partner with us to achieve your goals and make a meaningful impact in your community. Backed by Insight.
About the role
This role is connective tissue between product and commercial outcomes — you'll partner directly with multiple functions including Sales, CS, and Marketing as peers, translating GTM data into product priorities You will 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
What they're looking for
- 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)
- Working understanding of foundation models, their capabilities, limitations, and appropriate use cases
More about this role
This role is connective tissue between product and commercial outcomes — you'll partner directly with multiple functions including Sales, CS, and Marketing as peers, translating GTM data into product priorities
You will 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
Enterprise onboarding complexity is core to this role — multi-stakeholder setup flows, provisioning, guided configuration, and integrations across a portfolio of products
Revenue attribution is a first-class skill here: you will be expected to trace how product changes influence acquisition, activation, and expansion metrics and build business cases accordingly
Comfort with SaaS pricing models and packaging and how they interact with onboarding and growth is expected
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...
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