Product Manager, Derived Intelligence

Datasite • New York City, NY

10d • Hybrid

About The Position

Grata, part of Datasite, is hiring a Product Manager to own Derived Intelligence: datasets, scores, and signals built from proprietary data. The portfolio includes derived scores, behavioral signals, and market indices that help customers understand which private companies may transact, who may buy, and how markets are developing. The role defines what these products measure, partners with data science to build and validate models, and packages products into the Grata platform and MCP tooling.

The work combines analytical rigor and product creativity: identifying customer value in proprietary data across Grata, Datasite, and the broader Datasite family; defining metrics and claims; measuring accuracy; setting requirements; and iterating as usage scales. The Product Manager collaborates with data science, machine learning and data engineering, full-stack engineering, design, product marketing, and commercial teams. The position calls for initiative, comfort with ambiguity, and a customer-focused approach.

Grata operates a hybrid work model. Employees work from the NYC office in Columbus Circle on Mondays, Tuesdays, and Thursdays. The stated base salary range is $100,600 to $169,800. The position may also be eligible for bonuses, commissions, or overtime if applicable.

Requirements

• At least 3 years of product management experience.
• Excellent written and verbal communication skills.
• Strong hands-on data fluency, including comfort with SQL and the ability to pull and analyze datasets independently.
• Experience shipping data products in which data itself is the product, such as derived metrics, scores, signals, enrichment, or analytics features.
• Experience partnering with data scientists on predictive or statistical models, including defining success and deciding when a model is ready.
• A track record of identifying valuable products within existing datasets and sound judgment about why they matter to customers.
• Understanding of data quality mechanics, including coverage, precision and recall, entity resolution, freshness, and customer trust in metrics that cannot be verified by eye.
• Ability to partner with and influence people across organizational levels.
• Experience in a startup or high-ambiguity environment, with the ability to manage ambiguity and complex stakeholder needs in an organized, structured way.
• Interest in an office-centric culture with a flexible work environment.

Nice To Haves

• Domain knowledge and experience in private capital markets, including M&A processes, private equity, or investment banking workflows.
• Prior experience as a data scientist, data analyst, or data engineer.
• Experience with LLM-based extraction, classification, or enrichment pipelines.

Responsibilities

• Own the Derived Intelligence roadmap, including which derived datasets, scores, and signals to build, their sequencing, how they are built within MCP and user experiences across the agentic platform, and their customer and business impact.
• Partner with data scientists on predictive and behavioral models by framing problems, defining labels and evaluation, and determining when a model is sufficiently accurate for customers.
• Identify product opportunities in proprietary data across Grata, Datasite, and the wider Datasite family while accounting for coverage, refresh, and data-rights constraints.
• Define and defend metric definitions, including what a score means, how it is calculated, and what it does and does not claim.
• Develop understanding of dealmaker workflows, pain points, and behaviors through commercial-team partnerships, user research, and data analysis.
• Develop strategic roadmaps with clear milestones and measurable metrics, and track progress toward goals.
• Work across data science, machine learning, design, engineering, and product marketing to define and ship the roadmap.
• Prioritize initiatives using customer-centric and data-driven approaches to maximize impact and customer value.
• Create detailed requirements informed by customer conversations, usage data analysis, and iterative feedback from design and engineering.
• Become the trusted product-area expert and leader by taking ownership and delivering results.
• Communicate with cross-functional teams and executive stakeholders, translating complex ideas into clear insights that drive alignment.

Benefits

• Health insurance, including medical, dental, and vision coverage.
• Retirement savings plan.
• Paid time off.
• Other employee benefits, with specific details provided during the interview process.
• The position may be eligible for bonuses, commissions, or overtime if applicable.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed