Senior Product Manager, Data Platform & Intelligence
New
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InvocaEnterprise SaaS
United States: Greater Los Angeles Area (including Santa Barbara and San Diego) · SF Bay Area · Denver Metro · Austin Metro · Chicago Metro · Greater NYC Area Canada: Toronto (AI/ML technical roles only)Full-TimeSenior
SalarySalary Range $139,000 - $200,000 plus bonus + equity
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Job Details
- Experience
- 5+ years
- Required Skills
- Product ManagementSnowflakeData modelingSaaSBigQueryRedshift
Requirements
- 5+ years of product management experience, with meaningful time in data platforms, AI infrastructure, analytics products, or intelligence products
- Technical fluency sufficient to partner closely with data engineers and AI teams
- Hands-on experience working with data lake or data warehouse platforms (e.g., Snowflake, BigQuery, Redshift, or similar)
- Experience building intelligence products — signals, scores, insights, or recommendations
- Familiarity with evaluation approaches for data-driven AI systems
- Experience in enterprise SaaS or compliance-heavy domains where data governance, auditability, and multi-tenant isolation are core design constraints
- Strong execution ownership and ability to drive cross-team dependencies
- Ability to move fast with imperfect information
- Clear communicator who can translate complex data and AI concepts for both engineering and business stakeholders
- Track record of making principled tradeoffs across data quality, latency, cost, and reliability in complex systems
Responsibilities
- Own the end-to-end roadmap for Invoca's data platform and intelligence products
- Define and launch intelligence products — signals, scores, and insights — that create measurable value for both internal teams and paying customers
- Define how context is structured, staged, and delivered to AI agents across voice, SMS, and web
- Own the intelligence and data products that other teams and customers use to build unique experiences on top of Invoca data
- Drive cross-team execution across teams working on the agentic platform, conversational AI products on voice and SMS, signals, and insights
- Build data applications and agents on our data lake that power product use cases across the business
- Partner with data engineers and ML teams to make principled tradeoffs across data freshness, coverage, latency, and cost
- Define success metrics for data products and continuously measure impact through adoption, coverage, agent performance, and quality signals
- Evaluate build vs. buy decisions for data infrastructure and guide vendor integrations behind stable, well-defined contracts
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