Product Manager - AI & Data Analytics
Listed on 2026-06-02
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IT/Tech
Data Analyst, Data Science Manager
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 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 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, assessing 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.
- Data PM:
Already a Product Manager working on data products, looking for a new challenge in a customer-facing role with more impact. - The Data-Driven PM:
Successful PM for a different SaaS product, focusing largely on data, wanting to lead data and AI initiatives. - Product-Minded Analyst:
Senior Data Analyst or BI Developer who has been unofficially product-managing and ready to make the leap into a formal product role.
- Experience: 3-5 years of relevant experience in one of the fields described.
- Product & Business Acumen: Ability to connect complex technical features directly to customer value, user needs, and business outcomes (e.g., 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, building consensus and managing expectations across audiences.
- Prioritization & Planning: Demonstrated ability to manage a backlog, make trade-offs, and align teams on clear priorities.
- SQL Proficiency: Solid SQL fundamentals and comfortable writing queries for analysis.
- BI Tool Proficiency: Experience with a modern BI platform (Tableau, Looker, Power BI, Sigma).
- Data Fluency: Strong understanding of data transformation techniques (aggregation, string manipulation, type casting).
- Modern Data Stack Experience (Snowflake, Fivetran, DBT, Sigma).
- Domain Expertise in B2B SaaS verticals such as Field Services or Building Services.
- Familiarity with scripting languages (R or Python) for data analysis.
- AI/ML Experience, exposure to the AI/ML lifecycle or production models.
- Robust benefits package, including health and dental, 401(k) with company match.
- Flexible Time Off policy or generous PTO, role-dependent, with paid holidays.
- Up to 4 weeks paid bonding leave.
- Tuition reimbursement.
- Employee Assistance Program (free counseling, financial counseling, legal guidance, adoption assistance, etc.).
- 24/7 access to virtual medical care via Teladoc.
We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We encourage applicants who do not meet every requirement to apply if they could make a great impact in this role.
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