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Noetic Global Corp.

Senior Staff Product Manager

Posted 2 Days Ago
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In-Office
New York, NY, USA
220K-330K Annually
Senior level
In-Office
New York, NY, USA
220K-330K Annually
Senior level
Own the core product strategy for Mort, an AI access and indexing layer connecting enterprise systems. Lead product for a small technical team across connectors, indexing, quality evaluation, privacy, trust, and abstraction. Define experiments, run a simulated enterprise lab, make buy-versus-build decisions, and engage directly with customers. The role requires deep technical product experience in developer tools, APIs, data platforms, or infrastructure, plus strong data fluency and a hands-on, hypothesis-driven approach.
The summary above was generated by AI

We’re hiring: Senior Staff Product Manager

Enterprises are spending billions on AI, and most of it isn’t paying off. The reason is context: the bulk of a company’s stack is legacy systems with no easy connectors, and even when the data is reachable, the scale makes it hard for models to retrieve the right context efficiently.

At Noetic, we’re building Mort, the access and indexing layer that sits on a company’s network and connects to everything: modern SaaS tools, internal databases, and the decades-old systems behind them.

We’re looking for a senior product IC to own the core of Mort. This isn’t a feature area. It’s the center of the company, and it stays the center as we build on top of it. You’ll lead product for a core team of under 15 and decide what we build, what we test, and what we deliberately leave alone.

What you’ll own

  • Access: how Mort discovers a company’s systems and connects to them, including the hard legacy cases

  • Indexing: structuring what Mort collects so retrieval is accurate, fast, and cheap across thousands of systems

  • Quality: measurable definitions of “good” access and indexing, plus eval sets that catch regressions

  • The lab: our simulated enterprise where we test and score Mort. You’ll run it, grow it, and use it to make core technology and buy vs. build calls

  • Trust and privacy defaults for how data is accessed and handled

  • Abstraction: knowing which customer requests are one product, and which are three

What we’re looking for

  • Staff-level product experience owning a core technical product, not just features on top of one

  • A background building developer tools, APIs, SDKs, data platforms, or infrastructure

  • Deep data experience: you’re comfortable talking schemas, graphs, retrieval, and trade-offs with engineers

  • A love of messy data puzzles and a habit of forming hypotheses, testing them, and changing your mind

  • Scrappiness: you write the spec, run the analysis, set up the experiment, and talk to the customer yourself

Bonus points for experience with enterprise connectors, knowledge graphs, AI agents and retrieval evals, selling to IT and security teams, or early-stage startups.

We’re small, written-first, low ego, and high ownership. The role reports to our VP of Product and is based in Dallas (relocation offered) or NYC.

Help us build the brain.

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