Product Manager – AI & Data Analytics

WHAT YOU’LL DO:

• Product Strategy & Vision
• 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.
• Product Execution & Delivery
• 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.
• Technical Analysis & Enablement
• 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.

WHO YOU ARE:

• We know that great talent comes from many backgrounds. Whether you fit one of these descriptions or have a completely different story, if you’re a data-driven problem-solver, we want to hear from you.
• The Data PM: You’re already a Product Manager working on data products. You’re looking for a new challenge in a customer-facing role where you can have more impact and co-develop solutions on a modern data stack directly with clients.
• The Data-Driven PM: You’re a successful PM for a different SaaS product, but you find yourself spending all your time in the data, building your own dashboards, and talking to the analytics team. You’re ready to make data and AI your full-time focus.
• The Product-Minded Analyst: You’re a Senior Data Analyst or BI Developer. You’re the one your stakeholders always come to for “what’s next,” not just “what happened.” You’ve been “unofficially” product-managing your own work and are ready to make the leap into a formal product role.

WHAT YOU’LL BRING:

• Experience: 3-5+ years of relevant experience in one of the fields described above.
• Product & Business Acumen: A strong ability to connect complex technical features directly to customer value, user needs, and business outcomes (like ROI or retention).
• Customer Collaboration: Experience working directly with customers or key stakeholders to gather requirements, validate ideas, and manage feedback loops.
• Communication & Stakeholder Management: Excellent communication and data storytelling skills. You can build consensus and manage expectations with diverse audiences (from engineering to sales to external clients).
• Prioritization & Planning: A demonstrated ability to manage a backlog, make trade-offs, and align teams on a clear set of priorities.
• SQL Proficiency: You have solid SQL fundamentals and are comfortable writing queries (like joins and aggregations) to explore data and conduct analysis. We’re more interested in your analytical problem-solving skills than your memorization of advanced syntax.
• BI Tool Proficiency: Experience with a modern BI platform (e.g., Tableau, Looker, Power BI, Sigma). You understand the principles of effective data visualization.
• Data Fluency: A strong functional understanding of data transformation techniques (aggregation, string manipulation, type casting).

WHAT WOULD ALSO BE AWESOME:

• Modern Data Stack Experience: This is a great opportunity to work with (or learn) industry-leading tools. Our stack includes Snowflake, Fivetran, DBT, and Sigma.
• Domain Expertise: Experience with B2B SaaS verticals such as Field Services (e.g., pest control, lawn care) or Building Services (e.g., cleaning, security) would give you an advantage in onboarding speed.
• Scripting Familiarity: You have some familiarity with a scripting language (like R or Python) for data analysis.
• AI/ML Experience: You have exposure to the AI/ML lifecycle or have worked with production machine learning 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