Product Manager

DatologyAI•Redwood City, CA

7d•$215,000 - $300,000•Onsite

About The Position

As our first Product Manager, you will own the product strategy and roadmap for our enterprise data curation platform. This is a high-leverage, high-ownership role where you’ll build the function from the ground up. You'll work at the intersection of cutting-edge ML research and enterprise software, translating deep technical capabilities like automated data selection, deduplication, batching, multimodal curation at petabyte scale into a product that enterprise AI teams love to use. You'll partner closely with the founders, our research, engineering teams to define what we build and why. This role will shape how Datology evolves from a technically differentiated platform into a category-defining AI tooling company.

Requirements

5+ years of product management experience, with at least 3 years building enterprise software or AI/ML tooling at a senior or staff level
A strong technical foundation. You can read a research paper, engage credibly with ML engineers about training pipelines and data infrastructure, and distinguish meaningful technical differentiation from noise
You've shipped products where the starting point was a paper or prototype and know how to impose structure without killing what makes the technology special
Experience as a founding or early PM, with a track record of building product functions and processes
Deep familiarity with the enterprise AI/ML buyer: you understand how ML teams evaluate tools, what makes them adopt and stick, and how infrastructure decisions get made
A sharp product instinct for developer and technical user experiences. You know the difference between a product that's powerful and one that's actually used
Excellent cross-functional communication: you can make a research result legible to a sales team and a customer complaint actionable for an engineer
Comfort operating in ambiguity and a bias toward decisive, data-informed action

Nice To Haves

Hands-on experience with model training, data pipelines, or MLOps workflows
Prior experience at an AI infrastructure, developer tools, or data platform company
Exposure to enterprise procurement and compliance requirements (BYOC, on-prem, data sovereignty)

Responsibilities

Own the product roadmap end-to-end: from discovery and prioritization through launch and iteration, with a focus on enterprise-grade AI tooling
Partner with research and engineering to turn ambiguous, early-stage outputs into concrete, shippable product decisions.
Define and drive the enterprise product experience -- including platform UX, API design, deployment flexibility (BYOC, on-prem), and integrations with existing ML workflows
Develop deep customer intuition by engaging directly with enterprise ML teams, data scientists, and infrastructure engineers -- turning their pain points into a clear product strategy
Build the foundational PM infrastructure: discovery frameworks, roadmap tooling, release processes, and cross-functional rituals that scale as the team grows
Work with Sales and Customer Success to ensure the product enables a repeatable, defensible go-to-market motion
Track the competitive landscape across AI tooling, MLOps, and data infrastructure to inform positioning and prioritization
Serve as the connective tissue between research output and commercial product -- helping the team decide what to build, sequence how, and measure whether it's working