Product Manager

DatologyAI

. Own the product strategy and roadmap for the enterprise data curation platform .

Posted 10/16/2026full-timeSan Mateo • California • United StatesMid-LevelSenior💰 $215,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management for enterprise data curation platforms, with a strong technical foundation and the ability to engage with ML engineers. Proven track record in building product functions, driving product strategy, and enabling go-to-market motions in AI/ML tooling.

Highest-signal resume keywords

Product Management ExperienceEnterprise Software DevelopmentAI/ML Tooling ExpertiseCross-Functional CommunicationData-Informed Decision Making

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product StrategyRoadmap DevelopmentAPI DesignModel TrainingData PipelinesMLOps WorkflowsTechnical DifferentiationProduct ShippingEnterprise AI/ML FamiliarityDiscovery Frameworks

Soft Skills

Excellent CommunicationDecisive ActionComfort in Ambiguity

Tools & Technologies

Roadmap ToolingCross-Functional RitualsDeployment Flexibility

Industry Keywords

Enterprise Data CurationAI InfrastructureDeveloper ToolsData PlatformEnterprise ProcurementCompliance Requirements

About the role

Key responsibilities & impact

Own the product strategy and roadmap for the enterprise data curation platform
Own the product roadmap end-to-end, from discovery and prioritization through launch and iteration
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
Engage directly with enterprise ML teams, data scientists, and infrastructure engineers to turn pain points into product strategy
Build foundational PM infrastructure, including discovery frameworks, roadmap tooling, release processes, and cross-functional rituals
Work with Sales and Customer Success to enable a repeatable, defensible go-to-market motion
Track the competitive landscape across AI tooling, MLOps, and data infrastructure
Connect research output with commercial product decisions, sequencing, and success measurement
Partner closely with the founders, research, and engineering teams

Requirements

What you’ll need

5+ years of product management experience
At least 3 years building enterprise software or AI/ML tooling at a senior or staff level
Strong technical foundation
Ability to read research papers
Ability to engage credibly with ML engineers about training pipelines and data infrastructure
Ability to distinguish meaningful technical differentiation from noise
Experience shipping products originating from a paper or prototype
Experience as a founding or early PM
Track record of building product functions and processes
Deep familiarity with the enterprise AI/ML buyer
Product instinct for developer and technical user experiences
Excellent cross-functional communication
Comfort operating in ambiguity and bias toward decisive, data-informed action
Hands-on experience with model training, data pipelines, or MLOps workflows is a bonus
Prior experience at an AI infrastructure, developer tools, or data platform company is a bonus
Exposure to enterprise procurement and compliance requirements (BYOC, on-prem, data sovereignty) is a bonus
Must answer whether employment visa sponsorship in the United States will be required

Benefits

Comp & perks

100% covered health benefits (medical, vision, and dental)
401(k) plan with a generous 4% company match
Unlimited PTO policy
Paid Parental Leave of 12 weeks
6 months of WFH flexibility
Annual $2,000 wellness stipend
Annual $1,000 learning and development stipend
Daily lunches and snacks provided in the office
Relocation assistance for employees moving to the Bay Area
Meaningful equity