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New York, New York, United States · On-site
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About Fluidstack We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI…
Skills: Technical Product Management, Data Modeling, Ontology Design, System Design, Product Roadmap
Ithaca, New York, United States · Remote OK
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New York, New York, United States · On-site
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New York, New York, United States · On-site
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New York, New York, United States · Hybrid
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As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare …
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New York, New York, United States · Remote OK
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New York, New York, United States · On-site
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New York, New York, United States · Hybrid
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STV is seeking a Marketing Proposal Manager to join our Buildings group. This position is designated as hybrid (3 days week/in office) and will be located in our New York, NY office. This is an opportunity for anyone see…
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Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Own the product direction for compute production ontology and data products to streamline gigawatt-scale AI infrastructure. Translate complex operational domains into clear data models and specs for engineering teams to implement.
Requires 3+ years of technical product management experience focusing on data, platform, or ontology products. Must possess strong system design reasoning and the ability to communicate complex technical tradeoffs clearly.
We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. 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. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.
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. If that is you, please apply!
Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
Velocity. We drive everything forward as fast as possible.
First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.
Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.
Examples of key problems the team is working on:
Build the ontology that models compute production end to end, from hardware and networks to the operational workflows that deliver clusters to customers
Turn fragmented operational data spread across tools, spreadsheets, and people's heads into a single source of truth engineers and operators can build against
Ship product surfaces that give compute production teams real leverage: fewer manual handoffs, faster diagnosis, clearer state of the fleet
Apply LLM-era tooling to operational workflows where structured data and automation can replace repetitive human effort
Own product direction for the team's ontology and data products serving compute production: the roadmap, the priorities, and the success metrics that justify them
Turn messy compute production domains into data models, specs, and product surfaces clear enough that engineers can ship against them without a second round of discovery
Drive technical tradeoffs with engineers and ship end to end, from problem definition through delivery
Run direct discovery with compute production stakeholders to understand their domain, then validate that what you built actually changes how they work
Define and track the metrics that prove the product is delivering real leverage, and cut or redirect work that isn't
The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.
3+ years of technical product management, ideally on data, platform, or ontology products
A track record of shipping products with measurable impact, and the numbers to show it
You can reason about system design and hold your own with engineers on technical tradeoffs, not just relay their conclusions
Strong written communication: crisp specs, and prioritization rationale sharp enough that stakeholders who disagree still understand why you chose what you chose
You're comfortable in ambiguity and know how to impose structure where none exists, turning an unmapped operational domain into a model others can build on
Bonus: exposure to compute or datacenter operations, infrastructure systems, or building LLM-powered applications
We are committed to pay equity and transparency.
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.
You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email [email protected] with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.
Infrastructure for Abundant Intelligence
Fluidstack accelerates the world’s most ambitious AI projects by removing the bottlenecks to compute. Partnering with leading AI labs, governments, and enterprises, we deploy scaled infrastructure at speed to unlock a future of abundant intelligence.
Offices: New York, NY, US · San Francisco, CA, US
Based on 6791 listings with disclosed salaries, most engineering jobs in New York pay between $80k–$205k per year. Individual offers vary with seniority, company size, and specialization.
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