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Technical Product Manager – AI & Data Analytics

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Remote from
USA
Salary
USD 155k–160k / yr
Employment
Full Time
Experience
Director
Published
Apply before
19 Nov 2026
Listing views
58
Application actions
5
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AI Summary

The role, at a glance.

WorkWave is seeking a Technical Product Manager to define and deliver customer-facing AI, machine-learning, analytics, and data-product capabilities for a B2B SaaS platform. The role owns predictive-product strategy and roadmap development while translating customer problems into technical requirements for engineering and data-science teams. It requires hands-on analytical fluency in SQL, data visualization, and modern data platforms, combined with strong product judgment and executive-level client communication. The manager will partner closely with UX, Sales, Product Marketing, strategic customers, and technical teams to validate hypotheses and launch features tied to adoption, retention, and ARR expansion. This is a US-remote, full-time position with an annual base-salary range and bonus eligibility.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a strategically visible product role requiring the candidate to bridge AI/ML concepts, data architecture, user needs, and commercial outcomes. Success depends on independently shaping an emerging product area while aligning executive clients and multiple internal functions.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$157,500
US market range (per year)$140k–$185k
AI insightWorkWave discloses a base-salary range of $155,000–$160,000 USD per year, with bonus eligibility in addition to base pay. The midpoint is $157,500 annually. A reasonable estimated US market range for a technical product manager focused on AI and data analytics is approximately $140,000–$185,000 annually; this is an AI estimate, not verified salary research.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you prioritize potential AI and analytics features for strategic customers?

I would begin with customer discovery to identify high-value workflows, validate the availability and quality of the underlying data, and define the target user and desired business outcome. I would then score opportunities using expected customer impact, strategic alignment, technical feasibility, risk, and time to value. I would use a small pilot with measurable adoption and ROI criteria before committing to broad delivery.

Describe how you would translate an ambiguous customer request into requirements for data scientists and engineers.

I would clarify the decision the customer wants to improve, the users involved, the current workflow, and the measurable success metric. Next, I would document source systems, required entities, transformations, assumptions, model outputs, acceptance criteria, and UX expectations. I would review this with both the customer-facing stakeholders and technical team to ensure the requirements are feasible and unambiguous.

What role does SQL play for a technical product manager in a data-product environment?

SQL allows a product manager to independently explore behavior, validate assumptions, assess data quality, and quantify opportunities without waiting for every analysis request. I would use joins, aggregations, segmentation, and trend analysis to understand customer workflows and evaluate feature performance. The goal is not to replace analytics or engineering, but to make better and faster product decisions.

How would you evaluate whether a predictive model should be released to customers?

I would evaluate technical performance alongside product usefulness, fairness, reliability, interpretability, and operational readiness. Before launch, I would define baseline comparisons, user-facing confidence or explanation requirements, monitoring metrics, and a plan for feedback and model drift. A controlled rollout would confirm that the model improves the intended customer outcome rather than only performing well in offline testing.

How would you communicate a complex AI feature to an executive client and a sales team?

I would lead with the customer problem, the business outcome, and a concrete workflow rather than model terminology. For executives, I would explain expected ROI, implementation needs, risks, and the evidence behind the recommendation; for Sales, I would provide positioning, qualification criteria, proof points, and clear boundaries on what the feature can do. Supporting visuals and a concise demo would make the value tangible while preserving technical accuracy.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

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.

This job is remote in the US

Please note: Applicants must be currently authorized to work in the United States on a full-time basis. The company does not currently or in the future provide sponsorship for employment visa status.

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.

Compensation

In our commitment to salary transparency, we provide a compensation range for each role. In addition to the base salary this role is bonus eligible, the final offer will be dependent on various factors, including the candidate’s qualifications, relevant experience, and the organization’s budget. Our Talent Acquisition team will provide more information about the compensation package for this position during the interview process.

Please note that salary estimates provided by websites (LinkedIn, Glassdoor, etc.) and not by WorkWave may not accurately reflect the actual salary range for the position.

Additional Information

WHAT YOU SHOULD KNOW ABOUT US:

• 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!

LOVE WHAT YOU DO, NO MATTER WHERE YOU DO IT:

• 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.

A GLOBAL COMPANY WITH A LOCAL PRESENCE:

• 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.

RELAX, WE’VE GOT YOU COVERED:

• Employees can expect a robust benefits package, including health and dental and 401k with company match

AND BEYOND…

• 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

GROW WITH US:

• 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

JOIN OUR WINNING TEAM!

• 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’re 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: Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At WorkWave, we are dedicated to building a diverse, inclusive and authentic workplace, so if you feel like you could make a great impact in this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may just be the right candidate for this or other roles!

Apply now >

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