$170K – $245.6K/yr · Jobiba est.Estimated from 794 similar postings (high confidence) — not stated by the employer.
● Strong current hiring demand for this role
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Pay vs market · Bottom quarter
This job's pay ($157,500 a year at the midpoint) is higher than about 20% of 794 salary-listed Product Manager jobs in United States in the last 12 months; their median is $206,300.
Role overview
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.
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.
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.
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.
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.
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.
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Role market pulse
Live jobs
1,028
Posted 30d
827
30d movement
+462.6%
Remote share
37.1%
Salary listed
85.3%
Salary trend 1Y
Not enough history
What they are looking for
Qualification
3+ years of relevant experience across Product Management, Data Analytics, or Data Engineering
Department · Product
Hiring company
WorkWave's business management software can help you save time & money on back-office, routing, and field operations. Get more time back for you & your team!
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