Lead Product Manager, Marketing Agent (Cross-Platform)

• Define the strategy and roadmap for bringing the Marketing Agent to the platforms where brands already run their marketing. Be clear about what we’re building, for whom, why it will win, and what we won’t build.
• Decide how the agent connects and operates in other environments, from APIs and MCP to deeper integrations that sync a brand’s setup into Attentive and send through each platform’s messaging channels. Make these architecture and sequencing calls with engineering.
• Bring the full range of Attentive intelligence to each environment: predicted audiences, propensity and LTV scores, product recommendations, send-time and send-or-suppress decisions, brand voice, and AI-generated creative.
• Build for resilience when operating inside other platforms, including API limits, data access, and integrations that can change without notice.
• Work directly with customers and customer-facing teams to understand how marketers run multi-platform programs today and where the agent can create the most leverage.
• Define how we measure success: the metrics, experiments, and incrementality tests that show the agent improves customer outcomes, wherever it runs.
• Lead a dedicated engineering team in partnership with its engineering manager, and work closely with design, ML, data science, and GTM to take the product from 0 to 1 and then scale it.
• Act as a product leader across the Marketing Agent team, resolving dependencies, surfacing risks early, and building alignment across teams.

• 6+ years of product management experience, including owning customer-facing products from discovery through launch, iteration, and growth. We care more about the level and quality of your experience than an exact number of years.
• Experience in marketing technology, such as retention or lifecycle marketing, customer data platforms (CDPs), data platforms, adtech, personalization, or audience management.
• A technical background, for example a degree in computer science or engineering, or prior work as an engineer, data scientist, or solutions architect. You can engage credibly with engineers on system design, data flows, and tradeoffs.
• A track record of GM-style ownership: you’ve set direction for a product area, owned business outcomes, and made hard tradeoffs between speed, scope, and quality.
• Experience leading 0-to-1 work where the path wasn’t obvious and changed as you learned.
• Strong product judgment and analytical depth. You use customer evidence, experiments, and honest metrics to make decisions, including showing when something didn’t work.
• Excellent written and verbal communication, with the ability to influence technical and non-technical stakeholders, partners, and executives.

• Experience building API products, developer platforms, or integrations used by other companies.
• Experience with CDPs, data activation, or integrations between marketing systems.
• Hands-on familiarity with AI agents, MCP, or applied generative AI.
• Hands-on SQL or data analysis skills.

We want you to have a clear understanding of what to expect and the opportunity to meet the people you’d work with.