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Ai Product Strategist Jobs (NOW HIRING)

Own and manage the AI product vision, strategy, roadmap, and backlog . * Translate business objectives and user needs into clear AI product requirements, user stories, acceptance criteria, and ...

AI Product Manager

Centreville, VA · Remote

$140K - $150K/yr

Champion an experimentation mindset while balancing speed, quality, and long-term product strategy Minimum Requirements * 5 years of Product Management experience with recent ownership of AI-powered ...

AI Strategist

New York, NY · On-site

$134K - $227K/yr

You'll wear many hats: part consultant, part product strategist, part operator. You'll engage senior executives to define AI strategy, collaborate with technical stakeholders to deliver solutions ...

AI strategy * Enterprise product management * Responsible AI governance * User experience and adoption * Organizational transformation What Your Impact Will Be: AI Product Strategy & Vision * Help ...

Product Strategist

$124K - $160K/yr

Incorporate AI into the discovery process, exploring and executing on ways to increase your leverage as a Product Strategist through the use of agentic tools. * Identify opportunities within the ...

AI Product Manager

Spring, TX · On-site

$116K - $182K/yr

Key Responsibilities AI Product Strategy & Innovation * Identify, evaluate, and prioritize AI and automation opportunities across enterprise platforms and business processes. * Define product vision ...

Product Strategist

$124K - $160K/yr

Incorporate AI into the discovery process, exploring and executing on ways to increase your leverage as a Product Strategist through the use of agentic tools. * Identify opportunities within the ...

AI Product Manager

Spring, TX · On-site

$116.15 - $182.40/hr

AI Product Strategy & Innovation*** Identify, evaluate, and prioritize AI and automation opportunities across enterprise platforms and business processes.* Define product vision, outcomes, and ...

New

AI strategy * Enterprise product management * Responsible AI governance * User experience and adoption * Organizational transformation What Your Impact Will Be: AI Product Strategy & Vision * Help ...

THE ROLE As a AI Product Strategy Analyst, you will help identify promising markets, companies, products, operators, and investment or growth opportunities. You will turn ambiguous information into ...

This role sits at the intersection of product strategy, Agile delivery, and applied AI system design . You will lead and operate within cross-functional teams to define, prioritize, and deliver AI ...

AI Product Strategy Director

Atlanta, GA · On-site

$165K - $297K/yr

The Director, AI Product Strategy & Rapid Innovation is a hands-on AI product builder responsible for rapidly transforming ideas into working AI capabilities. Embedded within the CDIO Executive ...

New

AI Product Strategy Director

Tampa, FL · On-site

$165K - $297K/yr

The Director, AI Product Strategy & Rapid Innovation is a hands-on AI product builder responsible for rapidly transforming ideas into working AI capabilities. Embedded within the CDIO Executive ...

New

AI Product Manager

Reston, VA · On-site

$140 - $170/hr

We specialize in professional IT consulting services, IT Staffing, Business/IT Strategy, Business Process Blueprints, Enterprise Architecture, Enterprise Transformation.Job Title: AI Product ...

New

Showing results 21-40

Ai Product Strategist information

See salary details

$29.5K

$92.1K

$136K

How much do ai product strategist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai product strategist in the United States is $92,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $94,500.00 per year, depending on experience, location, and employer.

What is the difference between Ai Product Strategist vs Data Scientist?

AspectAi Product StrategistData Scientist
Primary FocusDeveloping AI product strategies, aligning AI solutions with business goalsAnalyzing data to extract insights, building predictive models
Required SkillsAI knowledge, product management, strategic thinkingStatistics, programming, data analysis
Work EnvironmentProduct teams, cross-functional collaboration, tech companiesData analysis teams, research labs, tech firms
Common CertificationsAI certifications, product management certificationsData science certifications, programming skills

The main difference is that an Ai Product Strategist focuses on creating and guiding AI-driven products aligned with business strategies, while a Data Scientist primarily analyzes data to generate insights and build models. Both roles often collaborate but serve distinct functions within tech and AI industries.

How much do AI product strategists make?

AI product strategists typically earn between $100,000 and $180,000 annually, depending on experience, location, and company size. Senior roles or those in high-demand markets can offer higher compensation, often including bonuses and stock options.

What is an AI product strategist?

An AI product strategist is a professional responsible for developing and guiding the strategy for AI-driven products and solutions. They analyze market needs, define product features, collaborate with engineering teams, and ensure the AI technology aligns with business goals, often requiring knowledge of AI tools, data science, and product management methodologies.
More about Ai Product Strategist jobs

What cities are hiring for Ai Product Strategist jobs?

Cities with the most Ai Product Strategist job openings:

What states have the most Ai Product Strategist jobs?

States with the most job openings for Ai Product Strategist jobs include:

Infographic showing various Ai Product Strategist job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, 2% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $92,126 per year, or $44.3 per hour.

AI Product Owner

Techno Talent Inc.

Alpharetta, GA • On-site

Other

Posted 17 days ago


Key responsibilities

  • Own and manage the AI product vision, strategy, roadmap, and backlog.

  • Translate business objectives and user needs into clear AI product requirements, user stories, acceptance criteria, and priorities.

  • Partner with Data Science, Machine Learning, Generative AI, Engineering, Data Engineering, UX, and business teams to deliver AI solutions.


Job description

We are looking for an experienced AI Product Owner to lead the strategy, definition, and delivery of AI-powered products and solutions. The ideal candidate will act as the bridge between business stakeholders, data/AI teams, engineering, and users to translate business needs into scalable AI products that deliver measurable business value.

Key Responsibilities
  • Own and manage the AI product vision, strategy, roadmap, and backlog.
  • Translate business objectives and user needs into clear AI product requirements, user stories, acceptance criteria, and priorities.
  • Partner with Data Science, Machine Learning, Generative AI, Engineering, Data Engineering, UX, and business teams to deliver AI solutions.
  • Identify and prioritize high-value opportunities for AI, Machine Learning, Generative AI, LLMs, and automation.
  • Define product requirements for AI capabilities including predictive analytics, intelligent automation, recommendation systems, conversational AI, and GenAI applications.
  • Work closely with technical teams to understand data requirements, model capabilities, integrations, APIs, and platform dependencies.
  • Manage product backlog, sprint planning, prioritization, release planning, and stakeholder communication using Agile/Scrum methodologies.
  • Define and monitor product KPIs, adoption metrics, business outcomes, model performance, and ROI.
  • Conduct user research, stakeholder interviews, workshops, and requirements-gathering sessions.
  • Collaborate with AI/ML teams to establish appropriate model evaluation, monitoring, explainability, quality, and governance requirements.
  • Ensure AI products address data privacy, security, responsible AI, regulatory, and compliance considerations.
  • Coordinate UAT, product validation, release readiness, and production rollout.
  • Continuously evaluate market trends and emerging AI/GenAI technologies and identify opportunities for product innovation.
  • Communicate product strategy, progress, risks, and outcomes to senior leadership and business stakeholders.
Required Qualifications
  • 10+ years of overall product management, business analysis, technology, or related experience.
  • Proven experience working as a Product Owner / Product Manager for technology or data-driven products.
  • Strong understanding of AI/ML concepts and AI product lifecycle.
  • Experience working with Generative AI, LLMs, AI agents, predictive analytics, or intelligent automation.
  • Strong experience with Agile/Scrum, product backlog management, user stories, prioritization, and sprint execution.
  • Experience translating complex business requirements into technical/product requirements.
  • Strong understanding of data, analytics, APIs, cloud platforms, and technology integrations.
  • Excellent stakeholder management and communication skills.
  • Ability to work effectively across business and technical teams.
  • Strong analytical, problem-solving, and decision-making skills.
Preferred Qualifications
  • Experience delivering enterprise AI products from concept/POC through production.
  • Experience with Azure, AWS, or Google Cloud AI services.
  • Exposure to OpenAI, Azure OpenAI, AWS Bedrock, Vertex AI, or similar platforms.
  • Experience with RAG, vector databases, LLM applications, prompt engineering, or AI agents.
  • Knowledge of Responsible AI, AI governance, model risk, privacy, and security.
  • Experience with Jira, Confluence, Azure DevOps, or similar product management tools.
  • Experience working in large enterprise environments.
Key Skills

AI Product Management • Product Strategy • Product Roadmap • Product Backlog • Agile/Scrum • AI/ML • Generative AI • LLM • AI Agents • Predictive Analytics • Data & Analytics • User Stories • Requirements Gathering • Stakeholder Management • KPI/OKR Management • UAT • Release Management • API Integration • Cloud Platforms • Responsible AI • AI Governance • Business Analysis

Candidate Eligibility

Candidates must have valid US work authorization, such as EAD, and be available to work in Georgia (GA) as required by the client.