Remote Walmart Data Science Jobs in Kansas (NOW HIRING)

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: 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.

Your evaluation framework ships before the feature does. 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.

Your discovery changes what gets built. 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.

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. About You: 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. Evaluation criteria, guardrail requirements, and trust surface design are PM-owned decisions.

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. Keeps abreast of current best practices and developments.

Uses AI tools actively in daily workflow as demonstrated practice, not theoretical interest. Experience designing enterprise trust surfaces: confidence disclosure, citation standards, explainability, and audit trails for users with compliance obligations. Can translate dense technical concepts such as model behavior, evaluation methodology, and infrastructure constraints into clear product decisions and crisp stakeholder communication.

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.