Director, Product Management - Data

Invoca•San Francisco, CA

16h•Remote

About The Position

Invoca is hiring a Director of Product Management - Data to lead the data foundation behind its AI-powered revenue execution platform. The role owns the Data & Intelligence Product Team’s vision and roadmap, ensuring data is ingested and standardized, made available as consumer and business context for AI agents, and returned to customers as actionable insights. The team’s domains include the Data Platform; Data Intelligence; Consumer Profile and Knowledge & Context Services; and Data Visualization and Insights. This is a player-coach position. The Director directly owns the Data Platform product, including ingestion, pipelines, standardization, data quality, and governance, while managing two Product Managers responsible for Consumer Profile and Knowledge & Context Services, and Data Visualization and Insights. The Director establishes a unified strategy across the domains and works closely with engineering, AI engineering, data science, security, product teams, and go-to-market leaders. The role reports to the EVP of Product. Success is measured by agent quality, the speed at which product teams can build with Invoca data, customer trust in data use, customer actions driven by insights, and new revenue opportunities for customers. The position is remote-first and open to candidates based within approximately a two-hour drive of the listed U.S. metro areas. Occasional business travel may be required.

Requirements

At least 10 years of product management experience, including direct experience managing Product Managers and a record of remaining hands-on with complex domain problems.
Hands-on ownership of a data platform product, including ingestion, pipelines, data modeling, data quality, and governance at scale.
Fluency with modern AI and agent data technologies and practices, including retrieval, vector stores, memory, knowledge extraction, evaluation methods, and context engineering.
Experience with customer or consumer data products such as a customer data platform (CDP), identity resolution, or a unified profile.
Experience building analytics or insights products focused on customer outcomes.
Experience defining data contracts, including schemas, APIs, versioning, and lifecycle management.
Experience in enterprise, multi-tenant environments where privacy, consent, security, and compliance are core constraints.
Background in engineering or computer science, or equivalent hands-on experience building complex data systems.
Track record of taking ownership of an ambiguous, fragmented, or underperforming area and establishing clear direction.
Exceptional communication skills, including the ability to align engineering, AI, product, and go-to-market stakeholders and present strategy to executives.
Bachelor’s or Master’s degree in Computer Science, Data Science, Business Administration, or a related field.
Must be based within approximately a two-hour drive of one of the listed hiring areas: Greater Los Angeles Area (including Santa Barbara and San Diego), SF Bay Area, Denver Metro, Austin Metro, Chicago Metro, Greater NYC Area, or Seattle Metro.

Nice To Haves

Experience building analytics or insights products with AI-driven or agentic workflows.
Preferred location in the SF Bay Area, Seattle, Los Angeles, or San Diego.

Responsibilities

Own the Data Platform roadmap for ingestion, standardization, pipelines, data quality, and governance, including making product tradeoff decisions.
Lead, coach, and develop two Product Managers responsible for Consumer Profile and Knowledge & Context Services, and Data Visualization and Insights.
Set a unified data strategy across the team’s domains, connecting raw data, agent context, and customer action.
Define context-engineering foundations, including how knowledge, marketing data fields, consumer context, and conversation state are assembled for agents and who owns each component.
Shape the unified consumer profile, including what Invoca knows about consumers, how that information is stored, and how it is used safely across channels.
Own and develop AI recommendations and intelligence products that affect how AI agents, people, or brands act on consumer journeys.
Guide the evolution of analytics from dashboards and reporting toward actionable insights and in-platform agentic workflows.
Architect data contracts, including schemas, APIs, and standards that make data portable, governable, and reusable across products and agents.
Partner with AI engineering to evaluate knowledge extraction, retrieval, and context quality.
Enforce privacy, consent, multi-tenant isolation, auditability, and data-scoping rules for agents.
Drive adoption through paved roads and shared components that help product teams ship data-driven and agentic experiences faster.
Represent the data organization to executive leadership and connect platform investment to business outcomes.

Benefits

U.S. medical, dental, and vision coverage beginning on the first day of employment.
Mental wellbeing support and access to an Employee Assistance Program.
Wellness subsidy that can be used toward gym memberships, fitness classes, and similar expenses.
Flexible paid time off.
20 U.S. paid holidays, including a winter break.
Up to 12 weeks of 100% paid leave for baby bonding, adoption, and caring for family members.
Up to 12 weeks of 100% paid leave for childbirth and medical needs.
Access to enterprise-grade AI tools, including leading LLMs and agentic AI workflow solutions.
Annual reimbursement of up to $1,000 for professional development, learning, certifications, and conferences.
401(k) plan through Fidelity with a company match of up to 4%.
Company-wide and team recognition programs, including President's Club and quarterly and departmental awards.
Sabbatical after seven years of service.
Stock option program for employees.
Bonus and/or commission eligibility, where applicable.