Principal Product Manager, AI Platform

This Principal Product Manager role focuses on building an AI-driven platform for a marketing services business, specifically targeting operational workflow automation and internal tool development.

What you’d own

AI-driven decision engines to replace third-party reporting tools
Closed-loop attribution capabilities connecting actions to outcomes
Scalable systems for multiple business units and industries
Prototyping solutions using AI tools and real-world data

Who it’s for

A fit if you…

✓Experience building functional prototypes with AI coding tools
✓Strong systems thinking regarding blast radius and second-order effects
✓Background in improving operational efficiency via reporting or attribution
✓Ability to translate complex problems into measurable outcomes

Not for you if…

✗You prefer well-defined roadmaps over ambiguous problem spaces
✗You prefer polished products over building and productionizing prototypes
✗You prefer large teams with dedicated design resources

Reading between the lines

The mention of 'small, hands-on team' and 'working independently' suggests a high degree of autonomy and less process overhead.
The requirement to 'replace third-party reporting tools' implies a focus on internal tooling and infrastructure rather than just external-facing features.

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Full job description

ABOUT THE ROLE

This Principal Product Manager will help a small, hands-on team build an AI-driven platform for a marketing services business. The role focuses on rethinking operational workflows, prototyping solutions, and working with engineering to turn successful ideas into reliable systems.

WHAT YOU'LL DO

Identify important operational problems and prototype solutions using AI tools and real-world data.

Partner with engineers to productionize prototypes as reliable, scalable systems.

Define measurable outcomes for complex operational challenges and use data to assess impact.

Build a decision engine that supports varied user needs and replaces third-party reporting tools.

Shape closed-loop attribution capabilities that connect client actions with business outcomes.

Design platform capabilities for multiple business units and industries, balancing shared features with configurable elements.

Engage directly with users and data to understand workflows and simplify or remove unnecessary steps.

WHAT WE'RE LOOKING FOR

Experience building and shipping functional software prototypes with AI coding tools and real-world data.

Experience designing AI-driven systems that account for failure modes, edge cases, and production requirements.

Strong systems thinking, including the ability to assess second-order effects, blast radius, and long-term design implications.

Ability to define operational problems in measurable terms and validate solutions with data.

Experience collaborating closely with engineering teams to deliver reliable systems.

Clear, concise written communication, including documentation that explains decisions and rationale.

Background improving operational efficiency through technology, ideally including decision engines, reporting, or attribution systems.

Comfort working independently in small teams and ambiguous problem spaces.

COMPENSATION & BENEFITS

Annual salary range: $160,000 to $230,000. Visa sponsorship is not available.

LOCATION

Fully remote within the United States.

About Clera

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Clera is an AI talent agent that represents job seekers rather than employers, making warm introductions to founders and hiring managers at venture-backed startups instead of routing resumes through an ATS. Candidates chat with Clera about the roles they want, and it surfaces matches across 600+ startups and brokers the intro directly - free for candidates, since companies pay only when they hire. Founded by three repeat founders who came out of the recruiting world, it passed $1M in annualized revenue within months of launching while representing tens of thousands of professionals. The team values in-person collaboration and works closely together.

HR & People Tech