Product Manager – AI, Data Analytics

🕒 May 27

🇺🇸 United States – Remote

💵 $155k - $165k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

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WorkWave

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1984

☁️ SaaS

🚗 Transport

🤝 B2B

SaaS • Transport • B2B

WorkWave is a leading provider of field service management software designed to enhance the efficiency of businesses across a wide range of industries. Their software solutions streamline operations, optimize workflows, and improve customer experiences. WorkWave's products encompass CRM & ERP software, field operations management, routing and scheduling, billing and payments, along with fintech and marketing solutions. With tools tailored for industries such as pest control, cleaning, HVAC, lawn care, and delivery, WorkWave aims to support businesses in increasing operational efficiency and customer satisfaction through technology-driven solutions.

📋 Description

• 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

• 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. • You have 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).

🏖️ 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