Product Manager - AI & Data Analytics

WorkWave

1d•$155,000 - $165,000•Remote

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.

Requirements

3-5+ years of relevant experience in one of the fields described above.
A strong ability to connect complex technical features directly to customer value, user needs, and business outcomes (like ROI or retention).
Experience working directly with customers or key stakeholders to gather requirements, validate ideas, and manage feedback loops.
Excellent communication and data storytelling skills. You can build consensus and manage expectations with diverse audiences (from engineering to sales to external clients).
A demonstrated ability to manage a backlog, make trade-offs, and align teams on a clear set of priorities.
Solid SQL fundamentals and are comfortable writing queries (like joins and aggregations) to explore data and conduct analysis.
Experience with a modern BI platform (e.g., Tableau, Looker, Power BI, Sigma). You understand the principles of effective data visualization.
A strong functional understanding of data transformation techniques (aggregation, string manipulation, type casting).

Nice To Haves

Experience with (or learning) industry-leading tools such as Snowflake, Fivetran, DBT, and Sigma.
Experience with B2B SaaS verticals such as Field Services (e.g., pest control, lawn care) or Building Services (e.g., cleaning, security).
Some familiarity with a scripting language (like R or Python) for data analysis.
Exposure to the AI/ML lifecycle or have worked with production machine learning models.

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.

Benefits

Bonus eligible
Health and dental
401k with company match
Flexible Time Off policy or generous PTO plan (role dependent)
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