Senior Product Manager Analytics & AI

avetta; United States; Remote; USD 88,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) plan

Paid time off

Job summary

avetta seeks a Senior Product Manager to own the strategy, roadmap, and delivery of a client-facing analytics and AI-powered insights product for enterprise SaaS customers. You’ll combine data, AI, and product craft to ship analytics features and accelerate workflows, working with cross-functional teams.

Ideal candidates have about 5 years in product management for multi-tenant SaaS, strong technical depth, and hands-on experience with analytics platforms and AI tooling.

Qualifications

• 5 years of product management in a multi-tenant SaaS environment.
• Bachelor’s degree or higher in computer science, mathematics, engineering, statistics, data science, or equivalent.
• Hands-on experience building and launching customer-facing analytics products.
• Familiarity with analytics data infrastructure such as Snowflake or Databricks, including data models and semantic layers.
• Working knowledge of AI and ML product concepts applied to analytics, including NLQ, conversational BI, or LLM integration patterns.
• Ability to engage credibly with data engineers, analytics engineers, and ML engineers; strong technical depth.
• Proficiency with roadmap and design tools (Aha!, Jira, Figma).

Responsibilities

• Define and drive the product vision, strategy, and roadmap for a client-facing analytics and AI surface, balancing near-term delivery with long-term innovation.
• Shape the end-to-end analytics experience for enterprise personas, including dashboards, reports, and insight narratives around supplier readiness, compliance, and risk.
• Lead delivery of conversational analytics capabilities such as natural-language-to-insight, translating user questions into data-grounded answers.
• Partner with data engineering, data science, and platform teams to evaluate and leverage AI infrastructure and LLM-backed tooling for analytics features.
• Collaborate on semantic models and metrics layers, working with embedded visualization platforms to deliver insight-driven experiences.
• Use AI tools and agents to accelerate personal PM workflows, including research, discovery synthesis, story drafting, and prototyping analytical use cases.
• Coordinate with customer success, sales, and implementation teams to drive adoption and represent analytics capabilities to enterprise clients.

Skills

PM experience

Analytics product

AI/ML concepts

Technical depth

Roadmapping tools

Education

Bachelor's degree or higher in CS/Math/Engineering/Data Science

Tools

Snowflake

Databricks

Aha!

Jira

Figma

Job description

Role overview

This is a senior product management role owning the strategy, roadmap, and delivery of a client-facing analytics and AI-powered insights product for enterprise SaaS customers. The position sits at the intersection of data, AI, and product craft, combining conversational analytics, embedded dashboards, and AI-accelerated workflows. It calls for someone technically credible who pairs a customer-first mindset with hands-on comfort using AI tools to ship both analytics features and faster product work.

Responsibilities

• Define and drive the product vision, strategy, and roadmap for a client-facing analytics and AI surface, balancing near-term delivery with long-term innovation.
• Shape the end-to-end analytics experience for enterprise personas, including dashboards, reports, and insight narratives around supplier readiness, compliance, and risk.
• Lead delivery of conversational analytics capabilities such as natural-language-to-insight, translating user questions into data-grounded answers.
• Partner with data engineering, data science, and platform teams to evaluate and leverage AI infrastructure and LLM-backed tooling for analytics features.
• Collaborate on semantic models and metrics layers, working with embedded visualization platforms to deliver insight-driven experiences.
• Use AI tools and agents to accelerate personal PM workflows, including research, discovery synthesis, story drafting, and prototyping analytical use cases.
• Coordinate with customer success, sales, and implementation teams to drive adoption and represent analytics capabilities to enterprise clients.

Requirements

• Approximately 5 years of product management experience owning shipped capabilities in a multi-tenant SaaS environment.
• Bachelor's degree or higher in computer science, mathematics, engineering, statistics, data science, or equivalent practical depth.
• Hands-on experience building and launching customer-facing analytics products (not only internal reporting tools).
• Familiarity with analytics data infrastructure such as Snowflake or Databricks, including data models and semantic layers.
• Working knowledge of AI and ML product concepts applied to analytics, including NLQ, conversational BI, or LLM integration patterns.
• Ability to engage credibly with data engineers, analytics engineers, and ML engineers; technical depth strongly preferred.
• Proficiency with roadmap and design tools (examples include Aha!, Jira, and Figma or equivalents).

Nice to have

• Exposure to B2B enterprise SaaS, supply chain, risk management, EHS/HSE, ESG, or workforce compliance domains.
• Familiarity with LLM-backed analytical tooling applied to structured data queries.
• Track record leading go-to-market product initiatives from discovery through launch and post-launch optimization.

Benefits and work setup

• Remote-friendly work setup as indicated by the listing.
• Compensation includes a base salary range of approximately $87,500 to $180,000 per year, with potential bonus eligibility.
• Benefits package includes health, dental, and vision insurance, a 401(k) plan, and paid time off.