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Senior Technical Product Manager

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: Comp AI
Full Time position
Listed on 2026-07-06
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below

Most companies still do compliance by hand: manual evidence collection, copy-pasted policies, audit prep that pulls engineers off the roadmap.

Comp AI rebuilds that stack with AI agents that handle the busywork. We are the AI-native compliance and security platform, and one of the fastest-growing companies in the world: 0 to 700 customers in our first year, and still accelerating.

Our AI agents:

  • Collect evidence and map controls
  • Draft and maintain policies
  • Prep for audits
  • Continuously monitor posture against SOC 2, ISO 27001, HIPAA, GDPR, and whatever frameworks our customers need next

Compliance is the wedge, not the ceiling. We are building toward continuous, AI-driven cybersecurity: always on, and better the longer a customer uses it.

We move fast and hold a high bar. The team is small enough that each person’s work shows up directly in the product.

About the Role

We're hiring a Senior Technical Product Manager to own a meaningful part of the product end to end: the research, the strategy, the roadmap, and getting it shipped through design and engineering.

You'll figure out what's worth building and why, sequence it, and drive it to customers in days and weeks rather than quarters. You'll make the calls and defend the cuts, work directly with founders, and stay close enough to customers to know whether what you shipped actually worked.

You'll own ambitious problems end to end. Some of the work is taking our core product upmarket: dissecting competitors, mining real customer calls, finding the gap between what we have and what a larger buyer needs, then closing it.

Some of it is greenfield, where there's no playbook yet and your job is to find the right thing to build and prove it. Both reward the same instincts: research a market, decide what to build, and ship it through a team.

This is a technical PM role in a real sense. You won't write production code, but you'll reason about feasibility with engineers who build with AI every day, sniff-test an estimate, and tell the difference between a one-week feature and a one-quarter one.

You won't get steamrolled in scoping, and you won't ship vague specs.

How We Use AI (Central to the Role)

We expect you to be fluent with modern AI. Day to day that means:

  • Using AI across the PM workflow as a primary tool, not an occasional assist: researching markets and competitors, synthesizing customer calls, drafting PRDs and specs, prototyping flows, and modeling tradeoffs.
  • Knowing how to prompt, scope, and steer these tools toward useful output, and how to break work down so they are effective.
  • Reasoning about what AI makes newly possible in the product itself. Our core is agents that collect evidence, draft policies, map controls, and monitor posture. You'll be shaping an AI-native product, not bolting a chatbot onto an old one.
  • Holding the bar. AI accelerates your research and drafting. It does not replace your judgment, your prioritization, or your responsibility for what the team builds.

We want strong product thinkers who use AI to go faster, not people who lean on it to do the thinking. The combination of sharp product judgment and AI fluency is the profile we are hiring for.

What You'll Do

Own and decide

  • Own a product area or vertical end to end: the research, the thesis, the roadmap, and the outcomes.
  • Decide what's worth building and what's not. Prioritize under real constraints, tie every call to a thesis about the customer and the business, and defend the cuts.
  • On greenfield bets, find the angle that makes us the right company to build it, and size the bet honestly, including the case against it.

Work with AI, and keep the judgment yours

  • Use AI to research faster, synthesize customer signal, draft specs, and prototype ideas before committing the team.
  • Reason about where AI changes what the product can do, and push for the version that's genuinely AI-native.
  • Stay responsible for the call. The tools accelerate you; the decision is yours.

Ship fast

  • Turn strategy into a sequence of shippable steps a team can start on now.
  • Ship to customers in days and weeks, then iterate on what they actually do.
  • Hold a high bar on quality and know when something is good enough to ship.

Stay close…

Position Requirements
10+ Years work experience
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