Senior Product Manager

Solstice Analytics ™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimize operations across channels, scale product offerings and enhance margins. Today, more than 40,000 companies trust Solstice Analytics to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimized consumer shopping journeys from beginning to end. Overview As an AI-first organization, Solstice Analytics expects employees across all roles to leverage AI and technology to improve efficiency, streamline workflows, and create scalable ways of working. As a Senior Product Manager, you own the strategy, roadmap, and outcomes for a key product area within Solstice Analytics 's commerce platform. You operate largely independently, tackle open-ended and ambiguous problems, and bring cross-functional teams together around a shared vision. You are expected to have deep expertise in your domain and leverage AI-powered capabilities to rapidly shape the next generation of commerce for the world's largest retailers and brands. Responsibilities Be the owner of your product and drive the long-term vision for the world’s leading eCommerce platform, leveraging AI-first approaches to accelerate discovery, decision-making, and delivery. Synthesize qualitative inputs—including client interviews, support tickets, and survey feedback—using AI tools to identify themes, opportunity areas, and prioritization inputs that inform product strategy. Collaborate with engineering, product, and cross-functional teams to drive efficient business processes, improve team operations, and align client needs with internal objectives. Own and drive roadmap prioritization for your product area, making independent decisions on scope, sequencing, and trade-offs while incorporating AI-assisted insights and data exploration. Leverage AI tools to prototype and validate product concepts and workflows (e.g., user flows, wireframe descriptions, low-fidelity mocks) to de-risk ideas prior to engineering investment. Lead end-to-end product development & execution from concept to launch (e.g., PRDs, prioritization, client discussions, testing & QA, change management, client adoption/engagement, etc.), holding yourself and your cross-functional team accountable for high-quality, timely delivery. Use AI to accelerate product documentation workflows (PRDs, one-pagers, release notes) while exercising strong editorial judgment and maintaining product quality and clarity. Track development progress, report on status to stakeholders, and assist in managing product release cycles. Support product testing and validation to ensure high-quality releases and a seamless user experience. Be the voice and champion of our clients; triage incoming requests with urgency and follow-through and build relationships grounded in trust. Lead and influence stakeholders across functional teams of designers and engineers to ensure successful delivery at a fast velocity; ensuring high product validation and QA standards are met. Collaborate with stakeholders at all levels of the organization to gain buy-in and alignment on product strategies, goals and initiatives, balancing urgency and resource availability. Leverage AI-assisted data exploration and analysis (e.g., natural language querying, chart interpretation, anomaly identification) to support faster, evidence-based product decisions. Qualifications Minimum Qualifications + years of proven product management experience within the SAAS industry with a complex enterprise level product, preferably in eCommerce or marketplace platforms Experience as a Product Manager working on AI‑powered products, AI workflows, or data & insights platforms Strong experience with the full product development lifecycle, including setting goals for your products, measuring the results, and quantifying the impact of features on the business Experience driving strategy and execution for complex, integrated software ecosystems, particularly with unifying multiple platforms Proven experience in supporting team-based projects, with a focus on ensuring alignment with project goals and contributing to technical teams. Experience using AI tools to synthesize qualitative research (e.g., client interviews, support tickets, survey feedback) into structured themes, opportunity areas, and/or prioritization inputs. Experience prototyping product concepts or workflows using AI tools (e.g., generating wireframe descriptions, user flows, or low-fidelity mockups via AI) to validate ideas before engineering investment. Proven use of AI to accelerate documentation workflows (PRDs, release notes, one pagers, etc.) while maintaining high quality and appropriate editorial judgment. Comfort using AI-assisted tools for data exploration and