Technical Product Manager - AI & Data Analytics

Allied Resources Technical Consultants

United States

Remote

USD 155,000 - 170,000

Full time

24 hours ago
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Job summary

Allied Resources seeks a Technical Product Manager - AI & Data Analytics to lead strategy, development, and delivery of customer-facing AI/ML solutions, predictive analytics, and SaaS data products. You will partner with executive-level clients, Data Science, Engineering, and Product teams to transform complex business challenges into innovative, scalable solutions that drive customer value and recurring revenue.

This remote U.S.

Qualifications

  • 3+ years in Product Management, Data Analytics, Data Engineering or related technical field.
  • Strong understanding of B2B SaaS, data-driven product development and customer-focused strategy.
  • Proficiency in SQL: joins, aggregations, and exploratory analysis.
  • Hands-on with BI and visualization tools (Sigma, Tableau, Looker).
  • Ability to translate complex tech into business requirements and communicate with execs and tech teams.
  • Analytical, problem-solving, and product management skills with focus on outcomes.
  • Experience with modern data platforms (Snowflake, dbt, Fivetran, Sigma) preferred.

Responsibilities

  • Own and execute the product roadmap for AI/ML models, analytics, and SaaS data products.
  • Collaborate with strategic customers and executive stakeholders to identify business needs.
  • Translate business requirements into technical specs and data transformation logic.
  • Partner with UX, Data Science, and Engineering to build dashboards and visualizations.
  • Leverage SQL to validate hypotheses and inform decisions.
  • Work cross-functionally with Sales and Product Marketing on GTM, adoption, and ARR growth.
  • Define and measure product success through ROI and SaaS metrics.

Skills

PM experience
Data analytics
Data engineering
SQL
BI/data visualization
Communication with execs
Product metrics

Tools

Sigma
Tableau
Looker
Snowflake
dbt
Fivetran

Job description

Client: Leading Field Service Management & B2B SaaS Technology Organization

Position: Technical Product Manager - AI & Data Analytics

Location: Remote - United States

Compensation: $155,000 - $170,000 annually + Bonus Eligibility

Work Authorization: Candidates must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT.

Our client is seeking a Technical Product Manager - AI & Data Analytics to lead the strategy, development, and delivery of customer-facing AI/ML solutions, predictive analytics, and SaaS data products. This highly visible role partners with executive-level clients, Data Science, Engineering, and Product teams to transform complex business challenges into innovative, scalable solutions that drive customer value, product adoption, and recurring revenue growth.

Key Highlights:
  • Own and execute the product roadmap for AI/ML models, predictive analytics, and customer-facing SaaS data solutions.
  • Collaborate directly with strategic customers and executive stakeholders to identify business needs and develop innovative data-driven products.
  • Translate complex business requirements into technical specifications, data transformation logic, and actionable engineering deliverables.
  • Partner with UX, Data Science, and Engineering teams to develop intuitive dashboards, data visualizations, and analytical features.
  • Leverage SQL and data analytics to validate product hypotheses, identify opportunities, and support strategic product decisions.
  • Work cross-functionally with Sales and Product Marketing to drive go-to-market strategies, product adoption, customer retention, and ARR expansion.
  • Define and measure product success through customer ROI, business impact, and SaaS performance metrics.
Qualifications:
  • 3+ years of experience in Product Management, Data Analytics, Data Engineering, or a related technical discipline.
  • Strong understanding of B2B SaaS products, data-driven product development, and customer-focused product strategy.
  • Proficiency in SQL, including joins, aggregations, and exploratory data analysis.
  • Hands-on experience with business intelligence and data visualization tools such as Sigma, Tableau, or Looker.
  • Ability to translate complex technical concepts into clear business requirements and communicate effectively with executive stakeholders and technical teams.
  • Strong analytical, problem-solving, and product management skills with a focus on measurable business outcomes.
  • Experience with modern data platforms such as Snowflake, dbt, Fivetran, and Sigma is preferred.
  • Familiarity with Python or R for data analysis is a plus.
  • Exposure to machine learning workflows, predictive modeling, or production AI/ML solutions is preferred.
  • Experience within complex B2B SaaS environments, particularly Field Services, Logistics, Routing, Dispatch, or Building Services, is highly desirable.
EEO Policy:

Allied Resources complies with all Equal Employment Opportunity (EEO) affirmative action laws and regulations. Allied Resources does not discriminate on the basis of age, race, religion, color, sex, national origin, marital status, genetic information, sexual orientation, gender identity and expression, disability, veteran status or other status protected by law.

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