• Operate as the most senior IC in Product, working horizontally across the company's most important strategic bets and ensuring they reinforce each other rather than compete. • Frame the highest-stakes product decisions facing the company and help the organization make better bets, especially when the data doesn't give a clean answer. • Partner with the VP of Product as a strategic thought partner on company-level product direction. • Go deep when it matters; shaping a critical flow, pressure-testing a team's strategy, or reframing how we think about a problem.

• Own product strategy and roadmap for Heidi’s intelligence products, setting clear goals and being held accountable to achieving them • Build intelligent experiences that help clinicians and health systems unlock deeper understanding from their clinical data • Own reporting, analytics, and insight surfaces that make Heidi more valuable the longer a customer uses it • Scope and ship AI-native features that turn clinical data into proactive insights and decision tools • Match deep customer understanding with business goals to deliver products that drive retention and expansion • Prioritise across new intelligence capabilities, data quality, and the infrastructure that supports them • Work with AI and product teams so intelligence products stay ahead of what the underlying models can do • Work with engineering on architecture trade-offs at a technical level • Spot patterns that multiple teams are solving separately and consolidate them

Role Description We are seeking a highly skilled and motivated Senior Product Manager to build an enterprise-grade data platform to power our BI and AI intelligence solutions. In this role, you will be responsible for: - Setting data collection, transformation and access strategy across verticals at a platform level. - Building and deploying a next-generation data architecture. - Collaborating with verticals on industry-leading data and analytics and AI products. - Launching 0 to 1 products that drive real revenue. This is a very collaborative and visible role, where you will: - Collaborate and lead cross-functional teams spanning design, marketing, engineering, architecture, QA, sales, support, and implementation. - Access our most-senior product, platform, marketing, and sales leaders. Your responsibilities will include: - Guiding the end-to-end data product lifecycle, from ideation to launch and ongoing optimization. - Working with vertical leaders to ensure successful product commercialization and go-to-market execution. - Being the market, customer, and product expert for data platforms within the organization. - Gathering and prioritizing market requirements. - Maximizing portfolio ROI through the right mix of product initiatives. - Working closely with the development team to deliver capabilities that meet specified requirements and objectives. - Developing and articulating a clear product strategy aligned with business objectives and market demands. - Identifying opportunities to address customer problems and drive incremental business value. - Analyzing market trends, competition, and customer feedback to identify opportunities for product enhancements and innovation. - Articulating the value of prioritized features and how they fit into a larger overall strategy. - Mastering your product, including understanding data ingest, transform, load, table structures, and technical components. - Empathizing with end-user problems across verticals and building data-driven, hypothesis-based product requirements. - Creating and managing the product roadmap, ensuring alignment with company goals and customer needs. - Prioritizing features and releases based on a deep understanding of market dynamics and customer requirements. - Clearly articulating the problems that need to be solved for customers and quantifying the value to be created. - Defining and delivering the Objectives and Key Results (OKRs) for each strategic bet. - Owning the product roadmap, P&L, strategy, execution, and GTM E2E. - Collaborating with engineering, design, marketing, sales, and other cross-functional teams to deliver high-quality software products on time and within budget. - Leading the end-to-end product development lifecycle, including requirements gathering, design, development, testing, and release. - Making data-driven decisions and continuously iterating on products to optimize performance and user satisfaction. - Managing capacity and demand for the team, including development, market enablement, bug resolution, and testing. Qualifications - 5+ years building and launching Data & analytics products, with vertical SaaS experience preferred. - 7+ years of product management experience, with B2B or B2B2C preferred. - Familiarity and fluency with AI/ML, data science, and database technologies, architectures, and concepts. - Strong mix of technical and business acumen with the ability to balance business needs, customer needs, technical considerations, and profitability. - Experience launching and monetizing products. - Ability to work in a fast-changing environment with time and revenue pressure and constant ambiguity. - Strong presentation and communication skills, with the ability to collaborate effectively in complex decision-making scenarios. - Deep understanding of software development processes and methodologies. - Analytical mindset with the ability to make data-driven decisions and prioritize work for maximum impact. - Demonstrated leadership in cross-functional teams and delivering results in dynamic environments. - Strategic thinker capable of analyzing market conditions, competitive landscapes, and industry trends to identify key customer problems. - Resourceful problem solver with creativity in finding solutions. - Team player who aligns with company/portfolio strategies and executes initiatives that benefit the overall organization. - Comfortable with both the art (user empathy, design) and science (analytics, statistics) of product management. - Experience in nimble product delivery organizations with close collaboration between product, design, and engineering. - Ability to independently manage projects and provide guidance and mentorship to Product Owner direct reports. - Bachelor's degree in a relevant field; MBA or advanced degree is preferred. - All applicants must be currently authorized to work in the United States on a full-time basis. Benefits - Generous health coverage for you and your family, including fully paid short- and long-term disability coverage and two-times base salary life insurance. - 401(k) match after 60 days, 100% vested after 1 year. - Employer contribution to your HSA, plus an HRA to help offset your deductible. - Instant access to flexible vacation with a ‘take what you need’ vacation policy. - Company rewards and recognition that can be redeemed for personalized gifts and experiences. - 8 hours of Volunteer Time Off each year and opportunities to get active in the community. - 8 hours of Rest, Relax, Recharge time to care for your mental health. - Access to a range of mental well-being resources for yourself and your dependents. - Fully paid parental leave: 12 and 6 weeks for primary and secondary caregivers, respectively. - ‘Paw’ternity Leave and Pet Bereavement policies. - Caregiver Leave: four weeks of fully paid time away from work to care for aging dependents or family members. - $50 monthly home data stipend, plus a home office sign-on bonus of $250. - Fertility care support options. - Access to financial experts to help you make informed decisions. - Direct Student Loan Payment Program, some qualifications and eligibility rules apply.

• 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. • 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. • 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. • 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. • 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.