Get the chrome extension Senior Technical Product Manager, AI & Data Solutions
Futuri
About Futuri
Futuri, an AI technology company, helps media companies engage and monetize audiences to thrive in the AI era. Futuri has 20+ patents in artificial intelligence, broadcast technology, and public safety, and serves over 7,000 broadcast and media companies worldwide. Modern media, content, and advertising companies trust Futuri to grow and monetize their audiences and improve profitability with technology such as TopLine, a sales intelligence system. TopLine accelerates the sales cycle and grows revenue; TopicPulse, an audience intelligence system, trends what audiences care about and forecasts what will go viral. Futuri also serves government agencies with BEACON, the world’s first AI-powered emergency broadcast system. For more information, please visit.
Senior Technical Product Manager, AI & Data Solutions
- Location: Remote, U.S.
- Type: Full-Time
Let’s talk about you!
You’re a hands-on product manager who can take a customer’s messy data problem and turn it into a useful solution quickly.
You’re comfortable working directly with customers, including executive stakeholders, and moving from conversation to working software in short cycles.
You like building as much as planning. You can query data, work with APIs, configure workflows, create prototypes, and test your own work. You also know when a solution needs deeper architecture, security review, or production support from Engineering.
If this is resonating, keep reading. You may have just found the right opportunity.
We’re looking for a Senior Technical Product Manager, AI & Data Solutions to help turn complex customer needs into practical, working solutions.
This role sits at the intersection of customers, data, AI, and product development. You’ll work directly with customers to understand their business problem, identify the right data and approach, and quickly build or prototype a solution that proves value. When that work has the potential to become a scalable product capability, you’ll translate what you’ve learned into clear requirements for Engineering and the broader Product team.
What you’ll do
- Meet directly with customers to understand the business problem, identify the data required, and define a practical first release.
- Build and refine prototypes, reports, workflows, and lightweight integrations using SQL, APIs, low-code tools, and AI-assisted development.
- Own the details that make a solution usable, including data mapping, output quality, edge cases, acceptance testing, and customer feedback.
- Test and validate your own work before it reaches the customer.
- Translate successful customer-specific solutions into clear requirements for reusable product capabilities.
- Present solutions, recommendations, and tradeoffs directly to customer leaders.
- Clearly communicate what works today, what requires additional development, and what can realistically be delivered next.
- Partner with Engineering when solutions require deeper architecture, security review, production support, or long-term scalability.
- Keep projects moving even when requirements are incomplete, identifying technical risks early and bringing a proposed path forward.
What you’ve accomplished
- Experience managing, building, or delivering B2B SaaS products involving complex customer data.
- Strong SQL skills and practical experience working with APIs, data integrations, and data quality.
- Regular hands-on use of AI coding or development tools to build, prototype, and test working solutions.
- Enough technical depth to investigate issues independently and collaborate effectively with software engineers.
- Experience turning loosely defined customer needs into practical solutions and clear product requirements.
- Strong written and verbal communication skills with the ability to work effectively with both technical teams and executive customers.
- A track record of shipping useful work quickly, even when the initial request or requirements were incomplete.
- Strong judgment around when to prototype quickly and when a solution requires more durable engineering, security, or architecture.
What success looks like
- Customers see useful, working solutions in weeks, not months.
- Data quality, edge cases, and usability issues are identified before launch.
- Customer feedback is incorporated quickly and thoughtfully.
- Successful prototypes translate into clear, well-tested product requirements.
- Engineering receives strong context and clean handoffs when custom work needs to become a scalable product capability.
- Customers and internal teams have a clear understanding of what can be delivered, when, and why.
Originally posted on Himalayas
Technical Product Manager - AI & Data Analytics
WorkWave
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 TechnicalProduct 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:
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.
Shape the AI & Data Vision
Execute & Ship with Impact
What You’ll Bring to the Table
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.
WHAT YOU SHOULD KNOW ABOUT US:
LOVE WHAT YOU DO, NO MATTER WHERE YOU DO IT:
A GLOBAL COMPANY WITH A LOCAL PRESENCE:
RELAX, WE'VE GOT YOU COVERED:
AND BEYOND...
GROW WITH US:
JOIN OUR WINNING TEAM!
Originally posted on Himalayas