Senior Product Manager, Data Platform & AI Intelligence

Invoca; New York (NY); Remote; USD 139,000 - 200,000; Full time

Benefits offered by this job

Stock options

Health benefits

Retirement plan

Mental health program

Job summary

Invoca, a remote-first AI-native platform for marketing, sales, and customer experience, is seeking a senior product manager for data platform and intelligence. You will own the end-to-end roadmap for Invoca's data layer and the intelligence products that sit on top of it.

You'll partner with data engineers, ML teams, and product stakeholders to define context, rules, and signals, and to deliver measurable value for paying customers across voice, SMS, and web.

Qualifications

• Five+ years of product management experience in data platforms, AI infrastructure, or analytics products.
• Strong collaboration with data engineers and ML teams.
• Excellent cross-team execution and prioritization.
• Clear communication of complex data/AI concepts to technical and business stakeholders.

Responsibilities

• Own the end-to-end roadmap for Invoca's data platform and intelligence products.
• Define and launch signals, scores, and insights that deliver measurable value to internal teams and customers.
• Structure and deliver context to AI agents across voice, SMS, and web.
• Manage dependencies and unblock cross-team work across the agentic platform and analytics domains.
• Build data applications and agents on our data lake powering business use cases.
• Partner with data engineers and ML teams on data freshness, coverage, latency, and cost tradeoffs.
• Define success metrics and monitor adoption, coverage, and quality signals.
• Evaluate build vs. buy decisions for data infrastructure and integrations.

Job description

Invoca, a remote-first AI-native platform for marketing, sales, and customer experience, is seeking a senior product manager for data platform and intelligence. You will own the end-to-end roadmap for Invoca's data layer and the intelligence products that sit on top of it.

You'll partner with data engineers, ML teams, and product stakeholders to define context, rules, and signals, and to deliver measurable value for paying customers across voice, SMS, and web.