Lead Product Manager, Marketing Agent (Cross-Platform)

About the Role
Attentive is building an industry-defining Marketing Agent: a unified, autonomous system that understands a brand’s business, decides who to message, when, and with what, and then acts. It builds on three years of advances in predictive audiences, personalization, and AI-generated creative, and it’s designed to deliver a step change in performance for thousands of enterprise brands.

Brands already trust Attentive with their customer data, and our models know their shoppers deeply. But marketers run their programs across many tools, and they’re asking to put that intelligence to work everywhere they reach customers, not only in Attentive. We’re looking for a Lead Product Manager to make that happen.

You’ll own the strategy for bringing the Marketing Agent to the marketing platforms brands already use. That means letting the agent decide and act inside those environments: building audiences, choosing the right moment to reach (or not reach) each shopper, recommending products, writing on-brand creative, and sending messages through each platform’s own channels. You’ll figure out the right way to connect, whether through APIs, MCP, or deeper integrations, and how to deliver Attentive-quality results wherever our customers work.

This is a new product line with its own SKU. You’ll set the strategy, sequence the bets, and partner closely with a dedicated engineering team and with design, ML, data science, and GTM. You’ll report to the Senior Director of Product leading the Marketing Agent. This role’s scope is built to grow, with a path to Principal Product Manager as the business scales.

What You’ll Accomplish

• 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.

Your Expertise

• 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.

Nice to Have

• 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.

What to expect in our Interview Process

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

1. Recruiter conversation
We’ll discuss your experience, what you’re looking for next, and the role’s scope, location and compensation.

2. Hiring manager screen
You’ll meet with the hiring manager to discuss your experience, approach to product management and the opportunities for this role.

3. Take-home case study + Data & Analytics
You’ll complete a take-home case study and discuss your approach with the team. You’ll also participate in a Data & Analytics interview focused on how you define metrics and investigate changes in product performance.

4. Engineering Collaboration + Product Execution
You’ll meet with members of the team to discuss how you partner with engineering, navigate tradeoffs and bring products from idea to execution.

5. Executive Interview
You’ll meet with an executive leader to discuss your experience, product judgment and approach to driving impact.

Throughout the process, you’ll have opportunities to ask questions and learn more about the team.

For US based applicants:

• The US base salary range for this full-time position is $212,000 - $265,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

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