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Tango

Senior Product Manager, AI Division

Tango

Senior Product Manager at Tango Analytics managing AI product areas and collaborating with AI Engineering team for B2B SaaS environment.

Posted 5/22/2026full-timeRemote • California • 🇺🇸 United StatesSeniorWebsite

About the role

Key responsibilities & impact
  • Own AI product areas within Tango's intelligence layer: define what to build, write acceptance criteria including accuracy thresholds and human-in-the-loop requirements, and ship features with the AI Engineering team.
  • Partner with AI Engineering as a peer. Earn credibility through product judgment and evaluation standards.
  • Design trust surfaces for enterprise customers: confidence disclosure, citation standards, audit trails, and explainability are product decisions you own.
  • Run discovery with enterprise customers through design partner conversations, usage data analysis, and competitive landscape tracking.
  • Frame AI investment in customer outcome terms: retention impact, expansion signal, time-to-value.
  • Define enterprise-grade AI guardrails: confidence thresholds, latency requirements, and human-in-the-loop triggers appropriate for customers with compliance obligations.
  • Continuously evolve organizational and engineering practices to support and grow the Tango intelligence layer.

Requirements

What you’ll need
  • 5+ years in product management with shipped and validated AI or ML features in a B2B SaaS environment
  • Proven ability to partner with AI Engineering as a peer; earns technical credibility through product judgment; understands model behavior well enough to write meaningful acceptance criteria and constraints.
  • Track record of defining "ready to ship" before Engineering starts building.
  • Comfortable operating within a team where a director sets the platform strategy while you own full product area decisions and execution.
  • Fluent in LLM-specific product patterns: RAG, evaluation frameworks, prompt versioning, latency/cost trade-offs, and human-in-the-loop design.
  • Experience designing enterprise trust surfaces: confidence disclosure, citation standards, explainability, and audit trails for users with compliance obligations.
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience.

Benefits

Comp & perks
  • Comprehensive Benefits Including health, dental, and vision insurance
  • 401(k) plan with company match
  • generous paid time off to support your well-being
  • Flexible Work Environment Whether remote, hybrid, or in-office
  • Inclusive & Collaborative Culture We foster a workplace where diverse perspectives are valued, teamwork is encouraged, and everyone has a voice.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AI product managementML featuresacceptance criteriahuman-in-the-loop designenterprise trust surfacesconfidence thresholdslatency requirementsevaluation frameworksprompt versioningB2B SaaS
Soft Skills
product judgmenttechnical credibilitycollaborationcommunicationdecision-makingcustomer engagementanalytical thinkingstrategic thinkingadaptabilityleadership