Lead Product Manager, Torch

• 5+ years of product management experience, with end-to-end ownership of complex products
• 3+ years working on data products, analytics tools, or reporting experiences
• 2+ years working with AI/ML-driven product features (e.g., predictive insights, recommendation engines, automated analytics)
• Strong product discovery and execution skills—you know how to turn insight into action
• Fluency with SQL and experience working with data pipelines, models, or ETL processes
• Comfort working with BI tools (e.g., Looker, Tableau, Power BI)
• Exceptional communication and cross-functional collaboration skills
• A sharp eye for usability and a deep empathy for users—whether they’re HR admins, coaches, or internal ops teams

Desirable

• Torch is looking for a Lead Product Manager to drive innovation across our customer-facing data and reporting products, customer admin/program management experience, and internal admin tooling
• This is a cross-cutting role that touches the heart of how organizations and our internal teams manage coaching programs, monitor engagement, and measure impact
• You’ll own a portfolio of product areas that empower customers to oversee and optimize their coaching programs—including participant management, engagement visibility, and program tracking
• At the same time, you’ll collaborate closely with data science and engineering to develop AI-powered reporting tools and predictive insights, helping organizations understand the value of their investment in leadership development
• This is a high-impact individual contributor role for someone who’s strategic, execution-focused, and fluent in both product thinking and data storytelling
• You’ll shape user experiences that are as insightful as they are intuitive, and help internal and external users make better decisions—faster
• Own self-serve dashboards, automated reports, and analytics that show customers how coaching is working
• Translate complex data into clear, actionable experiences that support strategic decisions
• Collaborate with data engineering and data science to develop AI/ML-powered insights and predictive metrics
• Improve usability and effectiveness of tools that allow HR and L&D teams to manage coaching programs
• Enhance features that support participant management, program engagement tracking, and user workflows
• Make complex workflows simple, so admins can focus on driving impact, not managing logistics
• Evolve internal tools that support operations like coach matching
• Help internal teams (e.g., Coaching Operations, Customer Success) be more efficient and empowered
• Define and evolve the product strategy and roadmap across customer-facing reporting, admin tools, and internal operational tools
• Translate user needs and business goals into clear product requirements, success metrics, and measurement frameworks
• Work closely with designers, engineers, and data scientists to build intuitive, scalable, and impactful features
• Design and implement comprehensive data collection and reporting strategies that tell a compelling end-to-end story of coaching impact
• Drive the vision for AI-powered self-serve analytics products, leveraging machine learning for predictive insights and dynamic trend analysis
• Collaborate with product and data engineering to implement technical solutions, and maintain clear documentation of metrics, data definitions, and methodologies
• Use data and feedback to continuously analyze user behavior, validate opportunities, and inform prioritization
• Tap into the creativity of storytelling to connect the dots across data and surface valuable insights for customers
• Champion a data-informed culture at Torch by encouraging the adoption, understanding, and internal alignment around key data practices
• Partner with internal stakeholders—including operations, customer success, and account teams—to understand cross-functional pain points and opportunities
• Collaborate directly with customers and customer-facing teams to identify data needs, use cases, and challenges