Product Manager - AI & Data Analytics

About the position We are seeking a results-oriented Product Manager to drive the vision and execution of our customer-facing SaaS products, data-driven features, and AI/ML solutions. This role is a critical bridge, translating deep technical capabilities from data science and engineering into clear, quantifiable business value for our B2B SaaS customers. This is a highly visible, customer-facing role that involves working directly with key clients to co-develop innovative solutions. The ideal candidate is a curious, data-minded problem-solver who is excited to bridge the gap between business needs and technical solutions. This is a growth role where you will have a major impact on our product and our customers. WHAT YOU'LL DO: Product Strategy & Vision Own the product vision and strategic roadmap for our external, customer-facing AI/ML models, data products, and analytics features. Engage directly with strategic customers and design partners to understand their needs, validate roadmaps, and co-develop new features. Define, measure, and communicate product success using metrics that correlate with customer value and SaaS business metrics (e.g., adoption, retention, ARR expansion). Partner with UX, Data Science, and Sales Engineering to create impactful data visualizations and product demos that communicate clear value to customers. Product Execution & Delivery Define clear, testable requirements (epics and user stories) based on customer feedback, market analysis, and strategic priorities. Write precise, detailed specifications for complex data processes, transformation logic, and aggregation rules. Partner with Product Marketing, Sales, and Customer Success to develop launch plans, sales collateral, and communication plans for new features. Technical Analysis & Enablement Use your analytical skills to conduct product-related data analysis, validate data assets, and prove/disprove hypotheses. Act as the primary translator between customer requirements and data engineering, using your technical fluency to assess the viability of new ideas. Work closely with data scientists to define requirements for AI/ML-driven features, ensuring the underlying data is structured for success. WHO YOU ARE: We know that great talent comes from many backgrounds. Whether you fit one of these descriptions or have a completely different story, if you're a data-driven problem-solver, we want to hear from you. The Data PM: You're already a Product Manager working on data products. You're looking for a new challenge in a customer-facing role where you can have more impact and co-develop solutions on a modern data stack directly with clients. The Data-Driven PM: You're a successful PM for a different SaaS product, but you find yourself spending all your time in the data, building your own dashboards, and talking to the analytics team. You're ready to make data and AI your full-time focus. The Product-Minded Analyst: You're a Senior Data Analyst or BI Developer. You're the one your stakeholders always come to for "what's next," not just "what happened." You've been "unofficially" product-managing your own work and are ready to make the leap into a formal product role.

Responsibilities

• Own the product vision and strategic roadmap for our external, customer-facing AI/ML models, data products, and analytics features.
• Engage directly with strategic customers and design partners to understand their needs, validate roadmaps, and co-develop new features.
• Define, measure, and communicate product success using metrics that correlate with customer value and SaaS business metrics (e.g., adoption, retention, ARR expansion).
• Partner with UX, Data Science, and Sales Engineering to create impactful data visualizations and product demos that communicate clear value to customers.
• Define clear, testable requirements (epics and user stories) based on customer feedback, market analysis, and strategic priorities.
• Write precise, detailed specifications for complex data processes, transformation logic, and aggregation rules.
• Partner with Product Marketing, Sales, and Customer Success to develop launch plans, sales collateral, and communication plans for new features.
• Use your analytical skills to conduct product-related data analysis, validate data assets, and prove/disprove hypotheses.
• Act as the primary translator between customer requirements and data engineering, using your technical fluency to assess the viability of new ideas.
• Work closely with data scientists to define requirements for AI/ML-driven features, ensuring the underlying data is structured for success.

Requirements

• Experience: 3-5+ years of relevant experience in one of the fields described above.
• Product & Business Acumen: A strong ability to connect complex technical features directly to customer value, user needs, and business outcomes (like ROI or retention).
• Customer Collaboration: Experience working directly with customers or key stakeholders to gather requirements, validate ideas, and manage feedback loops.
• Communication & Stakeholder Management: Excellent communication and data storytelling skills. You can build consensus and manage expectations with diverse audiences (from engineering to sales to external clients).
• Prioritization & Planning: A demonstrated ability to manage a backlog, make trade-offs, and align teams on a clear set of priorities.
• SQL Proficiency: You have solid SQL fundamentals and are comfortable writing queries (like joins and aggregations) to explore data and conduct analysis. We're more interested in your analytical problem-solving skills than your memorization of advanced syntax.
• BI Tool Proficiency: Experience with a modern BI platform (e.g., Tableau, Looker, Power BI, Sigma). You understand the principles of effective data visualization.
• Data Fluency: A strong functional understanding of data transformation techniques (aggregation, string manipulation, type casting).

Nice-to-haves

• Modern Data Stack Experience: This is a great opportunity to work with (or learn) industry-leading tools. Our stack includes Snowflake, Fivetran, DBT, and Sigma.
• Domain Expertise: Experience with B2B SaaS verticals such as Field Services (e.g., pest control, lawn care) or Building Services (e.g., cleaning, security) would give you an advantage in onboarding speed.
• Scripting Familiarity: You have some familiarity with a scripting language (like R or Python) for data analysis.
• AI/ML Experience: You have exposure to the AI/ML lifecycle or have worked with production machine learning models.

Benefits

• Employees can expect a robust benefits package, including health and dental and 401k with company match
• Find your perfect work/life balance with our Flexible Time Off policy or generous PTO plan (role dependent) and paid holidays
• Up to 4 weeks paid bonding leave
• Tuition reimbursement
• Robust Employee Assistance Program through TotalCare offering free counseling 24/7/365, plus financial counseling, legal guidance, adoption assistance services and much more!
• 24/7 access to virtual medical care with Teladoc
• Quarterly awards based on peer nominations
• Regional discounts and perks
• Opportunities to participate in charitable events and give back to the community

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