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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 an Lead Product Manager to joing our growing & dynamic Product department.
Key Responsibilities:
Technical Delivery
• Own end-to-end product delivery for an assigned platform area — legacy modernization, data infrastructure, integrations, or cross-cutting platform work.
• Build credibility with Engineering by shipping.
• Write specs technical enough for Engineering to execute with confidence — clear data models, well-scoped requirements, and documented trade-off decisions. No ambiguity handed to the team.
• Serve as the connective tissue between Engineering, Data Science, Customer
• Success, and leadership — translate the complex for both technical and non-technical stakeholders, including at the executive level.
• Use SQL and data tooling independently for analysis and discovery; evaluate API specs without engineering translation; bring quantitative rigor to prioritization.
AI & Data Strategy
• Own Tango's AI/data product strategy across all segments — retail site intelligence, corporate real estate, energy & sustainability — and build the roadmap to deliver it.
• Directly PM Tango's ML team — own the ML product roadmap, shape requirements for ML-powered features, evaluate model capabilities and limitations, and define success metrics grounded in measurable user outcomes, not model accuracy alone.
• Own AI evaluation standards: define accuracy thresholds, hallucination tolerance, latency SLAs, and human-in-the-loop requirements before any capability ships to production. This sits with the PM, not ML.
• Drive customer discovery with rigor — maintain active design partner relationships, document what changes roadmap direction, and build validated signal from real usage, not just stakeholder opinion.
• Anchor the AI/data roadmap to measurable customer outcomes — adoption,
retention impact, time-to-value. Be equally clear about what is not on the roadmap and defend it.
• Implement enterprise-grade AI guardrails: confidence thresholds, audit trails, and citation standards appropriate for enterprise customers with compliance obligations.
• Identify and evaluate integration and partnership opportunities that extend
• Tango's platform value, particularly where AI or data capabilities are the differentiator.
• Frame the business case for AI/data investment in customer outcome terms — retention, expansion, time-to-value — not technology for its own sake.
About You:
Leadership & Experience
• 7+ years in product management with a demonstrated track record on technical, data, or platform products in a B2B SaaS environment.
• Proven ability to drive delivery on complex, cross-functional technical programs: must have a shipping track record, not just a strategy track record.
• Has shipped AI or ML features to production — not prototypes or internal tools — and iterated based on real usage data, not stakeholder opinion. Understands model behavior well enough to write meaningful acceptance criteria and define evaluation strategies.
• Experience building trust and influencing Engineering and Data Science teams through technical credibility and clear product decisions, not just communication skills.
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field — or equivalent experience.
Technical Depth
• Deeply technical PM: comfortable reading data models, writing SQL for analysis, evaluating API specs, and parsing engineering trade-offs independently.
• Fluent in LLM-specific product patterns: RAG, evaluation frameworks (offline evals, regression testing, feedback loops), prompt versioning, latency/cost trade-offs, and human-in-the-loop design.
• Working knowledge of data infrastructure concepts: pipelines, schemas, data quality, API integration patterns, multi-tenant data environments, and BI tooling.
• Uses AI tools actively in daily workflow — synthesis, research, spec writing — and can evaluate AI tooling for product relevance and applicability.
Product Judgment
• Translates dense technical concepts — data models, ML methodology, integration constraints — into clear, user-facing product decisions and crisp internal communication.
• Connects data and AI investment directly to customer outcomes (retention, expansion, time-to-value) and can defend ROI in renewal and board conversations.
• Knows when not to build AI: evaluates use cases for strategic alignment and pushes back on requests that don't meet the bar for production readiness or user value.
• Accounts for internationalization constraints in AI product decisions — Tango's platform supports 26 languages across 140+ countries, and AI capabilities must perform across locales, not just English.
• Experience in enterprise SaaS with complex integrations, data workflows, or platform infrastructure strongly preferred
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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