Director, Product Management - Data

Invoca•Los Angeles, CA

13h•$250,000 - $325,000•Remote

About The Position

Invoca is hiring a Director of Product Management to lead its Data and Intelligence Product Team and build the data foundation behind its AI agents. The role owns the team’s product vision and roadmap, connecting data ingestion and standardization with consumer and business context for agents and insights that drive customer action. This is a player-coach position: the director directly owns the Data Platform product and manages two Product Managers responsible for Consumer Profile and Knowledge & Context Services, and Data Visualization and Insights. The director works closely with engineering, AI engineering, data science, security, product teams, and go-to-market leaders, and reports to the EVP of Product. The role is remote-first and open to candidates based within approximately a two-hour drive of specified U.S. metro areas; occasional business travel may be required. The U.S. base salary range is $250,000–$325,000, with bonus and/or commission eligibility where applicable and participation in the company stock option program. Actual compensation depends on experience, skills, and location. U.S.-based teammates receive health benefits starting on their first day of employment.

Requirements

10+ years of product management experience, including direct experience managing Product Managers.
Track record of remaining hands-on with the hardest problems in the role’s own product domain.
Hands-on experience owning a data platform product, including ingestion, pipelines, data modeling, data quality, and governance at scale.
Fluency with modern AI and agent data technologies and concepts, including retrieval, vector stores, memory, knowledge extraction, evaluation methods, and context engineering.
Experience with customer or consumer data products, such as a CDP, identity resolution, or unified profile.
Experience building analytics or insights products focused on customer outcomes.
Demonstrated 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 GTM 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 U.S. 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.
Candidates in the SF Bay Area, Seattle, Los Angeles, or San Diego are highly preferred.

Responsibilities

Own the Data Platform product vision and roadmap, including ingestion, standardization, pipelines, data quality, and governance.
Lead and coach two Product Managers responsible for Consumer Profile and Knowledge & Context Services, and Data Visualization and Insights.
Set a unified data strategy across the three domains, linking 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 assigned ownership.
Shape the unified consumer profile, defining what Invoca knows about consumers, how that information is stored, and how it is used safely across channels.
Own existing AI recommendations for AI Agents and build intelligence products that affect how agents, people, or brands act on consumer journeys.
Guide the evolution of analytics from dashboards and reporting to actionable insights and in-platform agentic workflows.
Define data contracts, including schemas, APIs, and standards that support portability, governance, and reuse 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 by providing paved roads and shared components that help product teams ship data-driven and agentic experiences faster.
Represent the data organization to executive leadership and communicate platform investments in terms of business outcomes.

Benefits

Medical, dental, and vision coverage beginning on the first day of employment for U.S.-based teammates.
Mental wellbeing support and an Employee Assistance Program.
Wellness subsidy that can be used toward gym memberships, fitness classes, and more.
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 per fiscal year for learning, certifications, conferences, and other professional development.
401(k) plan through Fidelity with a company match of up to 4%.
Company stock option program.
Sabbatical after seven years of service.
Company-wide and team recognition programs, including President's Club and quarterly and departmental awards.