Senior Product Manager, Data Platform & Intelligence

Invoca is an AI-native platform that helps marketing, sales, customer experience, and contact center teams understand and act on customer interactions. The Senior Product Manager will own the roadmap and execution for the data and context layer, as well as intelligence products such as signals, scores, and insights that power AI agents and deliver measurable customer value.

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 — ensuring every interaction is grounded in the right data at the right time
• 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 — managing dependencies, driving prioritization, and keeping work unblocked
• Build data applications and agents on our data lake that power product use cases across the business — from agent performance measurement to customer outcome analytics
• 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
• Stay current on advancements in retrieval, grounding, and context injection patterns — translating signal into pragmatic product decisions

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 — comfortable in architecture discussions, familiar with data modeling, pipeline design, and schema evolution
• Hands-on experience working with data lake or data warehouse platforms (e.g., Snowflake, BigQuery, Redshift, or similar) — you understand how data products are built, governed, and consumed at scale
• Experience building intelligence products — signals, scores, insights, or recommendations — that both internal teams and external customers depended on
• Familiarity with evaluation approaches for data-driven AI systems — you have a point of view on how to know whether a context or signal pipeline is actually working
• Experience in enterprise SaaS or compliance-heavy domains where data governance, auditability, and multi-tenant isolation are core design constraints, not afterthoughts
• Strong execution ownership — you drive prioritization, own cross-team dependencies, and unblock your team without waiting to be asked
• Ability to move fast with imperfect information — this is a fast-moving AI environment; the bar is calibrated judgment, not perfect context
• Clear communicator who can translate complex data and AI concepts for both engineering and business stakeholders without losing precision on either side
• Track record of making principled tradeoffs across data quality, latency, cost, and reliability in complex systems
• Bachelors or Masters Degree in Computer Science, Data Science, or Business Administration or other related field
• Please note that we are unable to provide initial visa sponsorship for this position