Senior Product Manager, AI Division
Location
California
Posted
4 days ago
Salary
0
Seniority
Senior
Job Description
Senior Product Manager, AI Division
Tango
• 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.
Job Requirements
- 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
- 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.
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• Own and refine the product backlog, aligning features with business priorities, customer needs, and technical feasibility. • Translate customer requirements into clearly defined problems, broken down as user stories, epics, and acceptance criteria with clear value focus. • Drive ruthless value slicing — deliver features in small, high-impact increments to enable early feedback and reduce rework. • Maintain predictable delivery and transparent road mapping, ensuring alignment between sprint outputs and roadmap commitments. • Define and validate financial data models, ensuring figures (e.g., allocations, pricing, usage metrics) are accurate, consistent, and actionable. • Hands-on configuration of automation/integration tools (e.g., Make, n8n, Zapier) to prototype and test data workflows; comfortably read and interpret API specs to validate feasibility • Be the deep customer advocate and business user proxy: Deeply understand "Jobs To Be Done" in contract management, pricing, usage, and allocations. • Demonstrate and test product capabilities as a business user would, ensuring they solve real problems. • Lead customer workshops, proof-of-concepts, and pilot programs to capture feedback early. • Provide evidence to stakeholders that delivered capabilities are fit for business purpose, not just technically complete. • Define and track KPIs and success metrics for features and releases (e.g., adoption, usage, savings delivered, customer satisfaction). • Report on performance to leadership and stakeholders, ensuring transparency on outcomes, risks, and trade-offs. • Manage scope rigorously to deliver on time and prevent feature creep.
• Own the Vision: Develop and promote a product vision for your part of Cint’s Exchange. • Tell the Story: Masterfully articulate the "why" behind your product strategy. • Execute with Excellence: Conduct thorough opportunity assessments, backed by data and customer research, to validate assumptions and prioritize initiatives. • Author clear, comprehensive product requirements and partner with R&D leadership to navigate complex technical trade-offs. • Partner to Win: Build strong, trusted relationships with key stakeholders across R&D, Data Science, Commercial, Operations, Legal, and Marketing to ensure cross-functional alignment and a successful go-to-market.
• Own and refine the product backlog • Drive deliverables to enable early feedback and reduce rework • Define and validate financial data models • Be the deep customer advocate and business user proxy • Lead customer workshops and proof-of-concepts • Define and track KPIs and success metrics for features



