We aren’t just looking for someone to manage a backlog; we’re looking for the founding architect of our customer-facing data and AI strategy.

As a Technical Product Manager (Data & AI), you will sit at the high-impact intersection of cutting-edge Data Science, modern Engineering, and customer-facing value. This is a highly visible, strategic role where you’ll partner directly with executive-level clients to co-develop the predictive models, analytical features, and SaaS data products that will define our industry.

If you want to move away from internal tooling and actually ship AI/ML features that drive massive, quantifiable ARR, this is your playground.

WHAT YOU'LL DO:

Shape the AI & Data Vision

• Own the Predictive Roadmap: Drive the vision and strategy for our external AI/ML models, advanced analytics features, and data products.

• Co-Innovate with Clients: Embed deeply with strategic customers and design partners to validate ideas, uncover raw user needs, and co-develop next-gen features.

• Tell the Story of Data: Partner with UX and Data Science to turn complex backend algorithms into beautiful, intuitive data visualizations and high-impact product demos.

Execute & Ship with Impact

• Translate Complexity: Act as the ultimate bridge. Translate messy customer business problems into precise technical specs, transformation logic, and data requirements for our engineers and data scientists.

• Own the GTM: Collaborate with Product Marketing and Sales to launch features that aren't just technically impressive, but actually move the needle on SaaS metrics (Adoption, Retention, ARR expansion).

• Hypothesize & Validate: Use your analytical skills to dive into data assets, validate assumptions, and prove (or disprove) product hypotheses before writing code.

What You’ll Bring to the Table

• • 3+ years of relevant experience across Product Management, Data Analytics, or Data Engineering.

  • Strong Business & Product Acumen: The ability to look at a complex technical feature and immediately see how it connects to customer ROI.

  • SQL Fluency: You are comfortable writing joins and aggregations to explore data yourself. (We care about your analytical problem-solving, not whether you memorized advanced syntax).

  • Data Visualization Chops: Experience with a modern BI platform (e.g., Sigma, Tableau, Looker) and a strong sense of how to present data clearly.

  • The "Translator" Superpower: Elite communication skills. You can pitch a vision to an executive client, align a sales team, and debate data modeling with an engineer.

WHO YOU ARE:

• Great product minds don’t all follow the same blueprint. You likely fall into one of these buckets:

  • The Seasoned Data PM: You already build data products but want a more visible, customer-facing role where you can co-develop directly with clients on a modern stack.

  • The Data-Obsessed SaaS PM: You manage a standard SaaS product, but you secretly spend all your time in SQL, building dashboards, and lurking in the analytics team's Slack channels. You're ready to make Data/AI your full-time focus.

  • The Product-Minded Analyst: You're a Senior Data Analyst or BI Developer who doesn't just answer "what happened?" but actively tells stakeholders "what's next." You’ve been "unofficially" product-managing your work for a while and are ready to make it official.

WHAT YOU'LL BRING:

• 3+ years of relevant experience across Product Management, Data Analytics, or Data Engineering.

• Strong Business & Product Acumen: The ability to look at a complex technical feature and immediately see how it connects to customer ROI.

• SQL Fluency: You are comfortable writing joins and aggregations to explore data yourself. (We care about your analytical problem-solving, not whether you memorized advanced syntax).

• Data Visualization Chops: Experience with a modern BI platform (e.g., Sigma, Tableau, Looker) and a strong sense of how to present data clearly.

• The "Translator" Superpower: Elite communication skills. You can pitch a vision to an executive client, align a sales team, and debate data modeling with an engineer.

WHAT WOULD ALSO BE AWESOME:

• Our Stack: Experience with (or a burning desire to learn) our modern data stack: Snowflake, DBT, Fivetran, and Sigma.

• Industry Context: Experience in complex B2B SaaS verticals—especially physical operations like Field Services (logistics, routing, dispatch) or Building Services—is a massive plus. These industries are sitting on massive, unoptimized datasets ripe for AI disruption.

• Coding Lite: Familiarity with Python or R for lightweight data analysis.

• AI/ML Exposure: Experience working around the machine learning lifecycle or productionized models.

• We are laid back but buttoned up. We offer a casual work environment and remote work flexibility and have a passion for developing creative, innovative best in class solutions that directly contribute to the success of our customers

• We care deeply and deliver service and solutions that make a real difference in the lives of our clients and their businesses

• We openly accept others as they are and build strong partnerships based on trust

• Teamwork and collaboration is key to help our colleagues and customers solve their challenges

• Our team is energetic, fun, naturally inquisitive and eager to make an impact, we invite you to join us!

• Join our Remote-First Global Work Community: WorkWave provides an innovative and dynamic remote-first Global Work Community that encourages growth, creativity, and collaboration. No matter what stage of your career or where you live, WorkWave is your place to be part of a global company with a startup feel, where your ideas matter and your growth is a priority.

• We know that there are benefits of being in the office and working from home. WorkWave promotes a healthy work/life balance and provides employees with the flexibility of collaborating in the office or the option to work virtually if desired. Our teams are well versed at working collaboratively in a fully virtual environment.

• Our HQ is based at our state of the art home office in the historic Bell Works complex located in Holmdel Township, New Jersey. We keep our offices available to all to use when working remotely isn’t feasible, or to help with cross training, team building and/or brainstorming.

• We have employees in over 30 states, 7 countries and many regional offices - each with their own set of perks and opportunities to give back to the local community.

• Whether you work remotely or take advantage of one of our offices, you’ll find a community of WorkWavers that value diversity, and care deeply about our products, clients, our communities and each other.

• 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

• We understand the impact of attracting and keeping top talent and reward intellectual curiosity and a thirst for personal and professional growth

• Encouraging our employees that already have an intimate knowledge of and passion for our products to apply for other roles within our walls just makes sense!

• Our employees have access to extensive video libraries for soft skill and role specific training available 24/7 and live trainings are provided throughout the year

• 10 Time winner of Best Place to Work in New Jersey by NJBiz!

• WorkWave has been recognized with multiple awards for its outstanding products, growth and culture, including the Inc. 5000, SaaS Award, IT World Awards, Globe Awards, Silver Stevie Award for Employer of the Year, and Best Place to Work Inc. Magazine

• Recently named one of The Software Report's 3rd annual list of the Top 100 Software Companies of 2022 (worldwide!)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.