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FluidstackFluidstackNew York, NY

Product Manager, Business Operations

Product Manager owning ontology and data products for business operations at an AI compute infrastructure company. Turn messy operational domains into structured data models and systems, drive technical tradeoffs with engineers, validate with stakeholders, and prove impact through metrics. Requires 3+ years technical PM experience, preferably on data/platform products.

245k – 288k/yr
On-site3+ YOEProduct Management

About the role

Role Scope

Own product direction for the team's ontology and data products: the roadmap, the priorities, and the success metrics, with rationale clear enough that engineers and stakeholders can challenge it on the merits. Turn messy business operations domains into data models, specs, and product surfaces precise enough for engineers to ship against without a second round of discovery. Drive technical tradeoffs with engineers and ship end to end, from problem definition through launch and iteration. Run the stakeholder loop with business operations: understand their domain firsthand, validate what you build against their real workflows, and cut what doesn't earn its keep. Define and track the metrics that show each product is delivering real leverage, not just shipping.

Responsibilities

  • Build the ontology and data products that turn operational reality into structured, usable systems.
  • Turn messy operational domains (contracts, vendors, workflows, financial operations) into a shared ontology that engineers can build against and operators actually trust.
  • Build data products and product surfaces that replace ad hoc tracking with structured, queryable systems of record.
  • Apply LLM-era tooling to operational workflows where structured data plus automation can remove hours of manual work per week.
  • Prove leverage with metrics, so every product the team ships can show the operational time or errors it eliminated.

Requirements

  • 3+ years of technical product management, ideally on data, platform, or ontology products.
  • Shipped products end to end with measurable impact.
  • Can reason about system design and hold your own with engineers on technical tradeoffs.
  • Write crisp specs and clear prioritization rationale.
  • Comfortable in ambiguity: given an unstructured operational domain, you define the structure rather than wait for it.
  • Prioritize well under constraint, and can say no to stakeholders with a reason they respect.

Nice-to-Haves

  • Exposure to business operations, finance, or corporate workflow systems.
  • Experience building LLM-powered applications.

Skills

Product ManagementData Modelingontology developmentSystem Designtechnical specificationsllm applicationsmetrics trackingStakeholder Management
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