Technical Product Manager - AI & Data Analytics

About the Role

This is a high-impact, highly visible product leadership position focused on shaping customer-facing data, analytics, and AI capabilities. Rather than simply managing a backlog, the person in this role will help define the strategy behind predictive models, analytical features, and SaaS data products that are meant to deliver measurable business value. The work sits at the intersection of product management, data science, engineering, and executive-level customer collaboration.

The role is ideal for someone who wants to move beyond internal tools and build AI and machine learning experiences that influence revenue, adoption, retention, and expansion. You will work closely with strategic clients and design partners to uncover needs, validate concepts, and bring new product ideas to life.

What You Will Do

• Set the direction for external AI/ML capabilities, advanced analytics, and data products by owning the predictive product roadmap.
• Work directly with strategic customers and design partners to test ideas, understand real user needs, and shape next-generation features.
• Collaborate with UX and data science teams to convert complex algorithms and backend outputs into intuitive visualizations and compelling demos.
• Bridge business problems and technical delivery by turning customer needs into technical requirements, transformation rules, and data specifications for engineering and data science teams.
• Partner with product marketing and sales to launch features that improve adoption, retention, and ARR growth.
• Use data analysis to assess assumptions, explore product opportunities, and validate hypotheses before development begins.

Requirements

• At least 3 years of relevant experience in product management, data analytics, or data engineering.
• Strong understanding of business strategy and product thinking, with the ability to connect technical features to customer ROI.
• Comfort using SQL to write joins and aggregations for independent analysis.
• Experience working with modern BI or visualization tools such as Sigma, Tableau, or Looker.
• Strong communication skills with the ability to present to executives, align cross-functional teams, and discuss data modeling with engineers.
• Familiarity with a modern data stack such as Snowflake, DBT, Fivetran, and Sigma is a plus.
• Experience in complex B2B SaaS environments, especially field services or building services, is highly valuable.
• Working knowledge of Python or R for lightweight analysis is beneficial.
• Exposure to machine learning workflows or productionized models would be an added advantage.

Additional Information

The company describes itself as casual yet professional, with a remote-first culture that still supports office collaboration when needed. The organization emphasizes creativity, customer impact, trust, teamwork, and curiosity.

The business operates globally, with employees across more than 30 states and 7 countries. Its headquarters are located in Bell Works in Holmdel Township, New Jersey, and office space remains available for collaboration, onboarding, brainstorming, and team building.

The role is eligible for remote work and is part of a company that promotes work-life balance, collaboration, diversity, and community involvement.

Benefits and Perks

• Health and dental coverage.
• 401(k) plan with company match.
• Flexible Time Off or a generous PTO plan, depending on the role, plus paid holidays.
• Up to 4 weeks of paid bonding leave.
• Tuition reimbursement.
• Employee Assistance Program with 24/7/365 counseling, financial counseling, legal support, adoption assistance, and related services.
• 24/7 virtual medical care through Teladoc.
• Quarterly peer-nominated awards.
• Regional discounts and perks.
• Opportunities to take part in charitable events and community giving.
• Access to 24/7 video training libraries and live training sessions throughout the year.

Equal Opportunity and Hiring Notes

The employer is an equal opportunity organization and considers applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.

The company encourages candidates to apply even if they do not meet every qualification, noting that diverse applicants may hesitate to apply unless they match each requirement exactly.

Artificial intelligence tools may be used to support parts of the hiring process, including application review, resume analysis, and screening for inconsistencies or verification signals. These tools assist the recruitment team but do not replace human judgment, and final hiring decisions are made by people. Applicants may request more information about how data is processed.

Compensation Notes

The company states that it provides salary transparency and compensation details for each role. This position is bonus eligible, and the final offer depends on factors such as qualifications, relevant experience, and budget. The talent acquisition team will share more details during the interview process.

The employer also notes that compensation estimates from third-party websites may not accurately reflect the actual range for this role.