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Open nowPosted 5 hours agoWe saw it 65 min after it went up

Principal Product Manager, AI Platform

Clera273 open roles

Where
remote
Work mode
Remote
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Your applicationOpen nowPrincipal Product Manager, AI PlatformClera · remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Clera postings stay open a median of 4 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.2%30 days
This job: posted 5 hours ago

Clera median: 4 days open

The posting

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.

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