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| Full-time | Fully remote
Let’s Tango! Where Innovation Meets Impact.
At Tango Analytics, we’re all about helping businesses make smarter decisions through powerful technology, insightful data, and a whole lot of collaboration. Whether you're a creative thinker, a strategic planner, a tech wizard, or a customer champion, there's a place for you on our team. We believe work should be meaningful and fun — so if you're ready to make a difference while enjoying the journey, come join us and let's Tango!
We are looking for a Senior Product Manager (AI division) to join our dynamic and growing Product team.
Key Responsibilities:
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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.
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Partner with AI Engineering as a peer. Earn credibility through product judgment and evaluation standards. Your evaluation framework ships before the feature does.
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Design trust surfaces for enterprise customers: confidence disclosure, citation standards, audit trails, and explainability are product decisions you own.
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Run discovery with enterprise customers through design partner conversations, usage data analysis, and competitive landscape tracking. Your discovery changes what gets built.
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Frame AI investment in customer outcome terms: retention impact, expansion signal, time-to-value. Be clear about what's not on the roadmap and defend the decision.
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Define enterprise-grade AI guardrails: confidence thresholds, latency requirements, and human-in-the-loop triggers appropriate for customers with compliance obligations.
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Continuously evolve organizational and engineering practices to support and grow the Tango intelligence layer.
About You:
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5+ years in product management with shipped and validated AI or ML features in a B2B SaaS environment.
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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.
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Track record of defining "ready to ship" before Engineering starts building. Evaluation criteria, guardrail requirements, and trust surface design are PM-owned decisions.
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Comfortable operating within a team where a director sets the platform strategy while you own full product area decisions and execution.
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Fluent in LLM-specific product patterns: RAG, evaluation frameworks, prompt versioning, latency/cost trade-offs, and human-in-the-loop design. Keeps abreast of current best practices and developments.
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Uses AI tools actively in daily workflow as demonstrated practice, not theoretical interest.
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Experience designing enterprise trust surfaces: confidence disclosure, citation standards, explainability, and audit trails for users with compliance obligations.
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Can translate dense technical concepts such as model behavior, evaluation methodology, and infrastructure constraints into clear product decisions and crisp stakeholder communication.
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Enterprise SaaS experience with complex data workflows, platform infrastructure, or multi-tenant environments strongly preferred.
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience.
What We Offer
We’re committed to creating an environment where you can thrive—professionally and personally. Our offerings include:
- Competitive Compensation We recognize and reward your contributions with a salary package that reflects your value.
- Comprehensive Benefits Including health, dental, and vision insurance, a 401(k) plan with company match, and generous paid time off to support your well-being.
- Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that promote productivity and balance.
- Inclusive & Collaborative Culture We foster a workplace where diverse perspectives are valued, teamwork is encouraged, and everyone has a voice.
Tango is proud to be an equal opportunity employer. We are committed to equal opportunity regardless of race, ethnicity, religion, parental status, sexual orientation, age, citizenship, disability, or veteran status.
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