Sr. Product Manager - Intelligence Data Platform & AI
StorableUnited StatesPosted 10 April 2026
Job 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, and launching 0 to 1 products that drive real revenue.
This is a very collaborative role - you will collaborate and lead cross-functional teams spanning design, marketing, engineering, architecture, QA, sales, support, and implementation to solve high-visibility problems for some of our largest customers in a fast-paced, high-growth environment.
This is a very visible role - BI, AI and data products are some of our most pressing enterprise priorities, and this role will have access to our most-senior product, platform, marketing, and sales leaders.
Responsibilities
Your responsibilities will include guiding the end-to-end data product lifecycle, from ideation to launch and ongoing optimization, while working with vertical leaders to ensure successful product commercialization and go-to-market execution. You will be the market, customer, and product expert for data platforms within the organization, accountable for supporting bookings, revenue, retention, and margin. This entails gathering and prioritizing market requirements, maximizing portfolio ROI through the right mix of product initiatives, and working closely with the development team to deliver capabilities that meet specified requirements and objectives.
Develop and articulate a clear product strategy aligned with business objectives and market demands.
Identify opportunities to address customer problems and drive incremental business value from MVP to launch to beyond
Analyze market trends, competition, and customer feedback to identify opportunities for product enhancements and innovation.
Strong communication skills, including the ability to articulate the value of prioritized features and how they fit into a larger overall strategy.
Mastery of Your Product: Serve as an expert on how the data products work, including understanding data ingest, transform, load, table structures, and technical components.
Customer Centricity: Empathize with end-user problems across verticals and build data-driven, hypothesis-based product requirements that solve for pressing user needs while building community-model monetizable products with a broad product market fit.
Create and manage the product roadmap, ensuring alignment with company goals and customer needs.
Prioritize features and releases based on a deep understanding of market dynamics and customer requirements.
Clearly articulate the problems that need to be solved for customers and quantify the value to be created.
Define and deliver the Objectives and Key Results (OKRs) for each strategic bet.
Ownership - Own the product roadmap, PL, strategy, execution, and GTM E2E
Collaborate with engineering, design, marketing, sales, and other cross-functional teams to deliver high-quality software products on time and within budget.
Lead the end-to-end product development lifecycle, including requirements gathering, design, development, testing, and release.
Make data-driven decisions and continuously iterate on products to optimize performance and user satisfaction.
Manage 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 con ... (truncated, view full listing at source)
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