Senior Product Manager, Data Platform & Intelligence

As Senior Product Manager, Data Platform & Intelligence, you will own the roadmap and execution for Invoca's data and context layer and the intelligence products that sit on top of it. This is not a single-feature role. You'll be working across a technically complex, dependency-heavy domain — owning the pipelines that feed AI agents, the scores and signals that customers pay for, and the data applications that teams across Invoca depend on. The most important decisions in this role live at the boundary between data infrastructure and product experience. You will operate as a senior individual contributor reporting to the VP of Product, with broad influence across AI engineering, data science, and product teams — and a direct line to new revenue through the intelligence products you define and launch. You Will 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 You Have 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 📍 Location This is a remote-first role. We are currently hiring in the following locations: 📍 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) Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required. Please note that we are unable to provide initial visa sponsorship for this position. Salary, Benefits & Perks: At Invoca, all new hires in the U.S. receive benefits starting on day one of employment. Our benefits offerings include: Please note that benefits for teammates outside the U.S. may vary in accordance with their country’s laws and regulations. Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed. Paid Holidays – Invoca provides 16 U.S. paid holidays , including a winter break, giving you ample opportunity to refresh and spend time with friends and family. Health Benefits – Our healthcare program includes medical, dental, and vision coverage, with multiple plan options so you can choose what works best for you and your family. Fertility assistance is also included. Retirement – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%. Stock Options – All employees are invited to share in Invoca’s success through stock options. Mental Health Program – Well-being support on a broad range of issues is available through our SpringHealth program. Paid Family Leave – Up to 6 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members. Paid Medical Leave – Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs. InVacation – As a thank-you to our long-term team members, we offer a bonus after 7 years of service. Wellness Subsidy – We provide a subsidy that can be applied toward gym memberships, fitness classes, and more. Position Base Range - Salary Range $139,000 - $200,000 plus bonus + equity Diversity, Equity & Inclusion Invoca is committed to building an inclusive culture that values diverse perspectives and experiences. We are proud to be an equal opportunity employer and do not discriminate based on race, color, ancestry, religion, gender identity, sexual orientation, age, or disability. #LI-Remote