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About the Role

Invoca is seeking a Director of Product, Data to own the data layer that makes Invoca's AI Agents smarter. This player-coach role involves owning the Data Platform product vision and roadmap, and leading two Product Managers. The team is accountable for Data Platform, Data Intelligence, Consumer Profile and Knowledge & Context Services, and Data Visualization and Insights.

Responsibilities

Own the Data Platform directly: set the roadmap for ingestion, standardization, pipelines, data quality, and governance, and make the hard tradeoff calls yourself
Lead and coach two PMs: set direction, unblock decisions, and develop their judgment in Consumer Profile and Knowledge & Context Services, and in Data Visualization and Insights
Set one data strategy across all three domains: a coherent path from raw data to agent context to customer action, rather than three separate roadmaps
Define context engineering foundations: how knowledge, marketing data fields, consumer context, and conversation state are assembled into what an agent actually sees, and who owns each piece
Shape the unified consumer profile: define what Invoca knows about a consumer, how it is stored, and how it is used safely across channels
Own existing AI recommendations for AI Agents: build new intelligence products that have direct impact on how AI Agents, humans or brands act on consumer journeys
Move analytics from reporting to action: guide the move from dashboards to insights and in-platform agentic workflows that act on data results
Architect data contracts: schemas, APIs, and standards that make data portable, governable, and reusable across products and agents
Make data measurable for AI: partner with AI engineering on evaluation of knowledge extraction, retrieval, and context quality
Enforce governance: privacy, consent, multi-tenant isolation, auditability, and data scoping rules for agents
Drive adoption: paved roads and shared components so product teams ship data-driven and agentic experiences faster
Represent Data to executive leadership: translate platform investment into business outcomes

Requirements

10+ years in product management, including direct experience managing PMs, and a track record of staying hands-on with the hardest problems in your own domain
Hands-on experience owning a data platform product: ingestion, pipelines, data modeling, data quality, and governance at scale
Fluency with the modern AI and agent data stack: retrieval, vector stores, memory, knowledge extraction, evaluation methods, and context engineering, with a clear point of view on using data as a competitive advantage for agents
Experience with customer or consumer data products such as a CDP, identity resolution, or a unified profile
Experience building analytics or insights products focused on driving customer outcomes, ideally with AI-driven or agentic workflows
Demonstrated experience defining data contracts: schemas, APIs, versioning, and lifecycle management
Experience in enterprise, multi-tenant environments where privacy, consent, security, and compliance are core constraints
Background in engineering, 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: able 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

Skills

Product Management
Data Platform
AI
Agent Data Stack
Customer Data Products
Analytics
Insights Products
Data Contracts
Enterprise Environments
Engineering
Computer Science
Communication

Location

Remote
SF Bay Area
Seattle
Los Angeles
San Diego

Work Type

Remote-first
Full-time

Experience Level

Director
10+ years

Education Level

Bachelor's degree
Master's degree

Salary/Compensations

$250,000–$325,000

Benefits

Day-One Health Benefits – Medical, dental, and vision coverage
Mental Wellbeing – Access to mental wellbeing support and an Employee Assistance Program (EAP)
Wellness Subsidy – Reimbursement for gym memberships, fitness classes, and more
Flexible Time Off
20 U.S. paid holidays, including a winter break
Paid Family Leave – Up to 12 weeks of 100% paid leave
Paid Medical Leave – Up to 12 weeks of 100% paid leave
Enterprise-Grade AI Tools
Professional Development – Annual reimbursement of up to $1,000
401(k) plan through Fidelity with a company match of up to 4%
Recognition Programs
InVacation (Sabbatical) after seven years of service

About the Company

Invoca is the revenue execution and platform leader that helps marketing, commerce, and contact center teams turn every conversation into revenue.
Through its AI agents, Invoca engages, qualifies, and converts customers across SMS and voice, orchestrating seamless buyer journeys and measurable, profitable growth.
With over 300 employees, 2,000+ customers, and $100M in revenue, the company continues to lead the category it created.
Invoca's AI vision centers on using trustworthy, first-party data to deliver intelligent, authentic, and empathetic AI — connecting digital and human experiences to build lasting customer relationships.
Invoca has raised $184M from leading investors, including Upfront Ventures, Accel, Silver Lake Waterman, H.I.G. Growth Partners, and Salesforce Ventures.