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About the Role

We are hiring a Product Manager for the Knowledge & Observation team, owning the ontology and data products the team builds. You'll define what to build, why, and in what order, turning messy operational domains into clear data models and product surfaces engineers can ship against. The role calls for strong technical product sense, comfort with data and ontology systems and LLM-era tooling, and effectiveness working directly with engineers and operational stakeholders.

Responsibilities

Own product direction for the team's ontology and data products: roadmap, priorities, and success metrics
Turn messy operational domains into clear data models, specs, and product surfaces
Partner with engineers on technical tradeoffs and ship end to end
Work with operational stakeholders to understand their domain and validate what you build
Define and track the metrics that show the product is delivering real leverage

Requirements

3+ years of technical product management, ideally on data, platform, or ontology products
Able to work with engineers on technical tradeoffs and reason about system design
Strong written communication: crisp specs and clear prioritization rationale
Comfortable with ambiguity and defining structure where none exists
Track record shipping products with measurable impact

Skills

Knowledge graphs
Ontologies
Data infrastructure
Building LLM-powered applications

Experience Level

3+ years

Benefits

Competitive total compensation package (cash + equity)
Health, dental, and vision insurance
Retirement plan
Generous PTO policy

About the Company

We exist to make humanity more free.
Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants.
We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack.
We acquire power, design and build data centers, and operate them - with teams spanning hardware and software.
Speed and scale are our key differentiators.
Come be a part of building civilization-scale infrastructure for AI.
We hire people who care deeply about this problem space.

Equal Opportunity

Fluidstack is an Equal Employment Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law.
Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.