Senior Product Manager - AI

Momentive•Atlanta, GA

1d•Remote

About The Position

We are seeking a Senior Product Manager - AI to define and own the MomentiveIQ platform integrations roadmap. This role is centered on unifying the portfolio through a common data model and retiring legacy point-to-point connections between products. You will collaborate with architecture on technical standards, APIs, and contracts, and inventory/assess existing integrations to define migration paths. The role involves working across product teams to understand customer needs, identify shared patterns, and consolidate duplicated efforts into platform-level capabilities. Ensuring clean data flow across the portfolio through a common data model is key, as is owning the third-party integration framework. You will partner with engineering and architecture to design scalable, secure, and performant integration patterns, and use AI tools in your workflow for prototyping, data analysis, and specification generation. Translating complex platform architecture into clear narratives for leadership and GTM teams, and monitoring platform adoption, usage, and reliability are also core responsibilities. Staying current on AI platform patterns, foundation model capabilities, and integration best practices is essential.

Requirements

Bachelor's degree in computer science, engineering, or equivalent work experience
7+ years of product management experience, with at least 3 years focused on platform, infrastructure, or integration products
Direct experience building or managing a shared platform that serves multiple product teams or business units
Experience defining APIs, data contracts, and integration architectures at scale
Experience managing platform migrations: deprecating legacy systems while maintaining continuity for teams and customers that depend on them
Experience with third-party integration strategies (partner APIs, marketplace connectors, data sync frameworks)
Deep technical fluency: you should be comfortable reading architecture diagrams, reviewing API designs, and engaging in detailed technical discussions with engineers
Comfort using AI-assisted development and prototyping tools to validate platform concepts and accelerate decision-making
Experience navigating competing priorities across multiple product teams, with the ability to make trade-offs that optimize for the portfolio, not just one stakeholder
Excellent written and verbal communication, with the ability to translate technical platform decisions into business impact
Track record of driving adoption of platforms or shared services both internally and in the market
Comfort operating with high autonomy in a role where success depends on influence across teams you do not directly control

Nice To Haves

Background in SaaS, multi-product platforms, or enterprise software preferred
Background in the Association or Non-Profit space is a big bonus

Responsibilities

Define and own the MomentiveIQ platform integrations roadmap, centered on unifying the portfolio through the common data model and retiring legacy point-to-point connections between products
Collaborate with architecture on the technical standards, APIs, and contracts that govern how individual products connect to and build on MomentiveIQ
Inventory and assess existing point-to-point integrations across the portfolio. Define the migration path from legacy connections to MomentiveIQ-native integrations
Work across every product team to understand customer needs, identify shared patterns, and consolidate duplicated efforts into platform-level capabilities
Ensure data flows cleanly across the portfolio through a common data model: define how customer data, behavioral signals, and AI-generated insights move between products through MomentiveIQ
Own the third-party integration framework at the platform level, making it straightforward for product teams to build and maintain these connections through MomentiveIQ rather than one-off implementations
Partner deeply with engineering and architecture to design scalable, secure, and performant integration patterns
Use AI tools in your own workflow to prototype integration patterns, analyze cross-product usage data, and generate technical specifications
Translate complex platform architecture into clear narratives for leadership, product peers, and GTM teams
Monitor platform adoption, usage patterns, and reliability across the portfolio. Use data to drive platform investment decisions
Stay current on AI platform patterns, foundation model capabilities, and integration best practices across the industry