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Strategy Manager Ai Jobs in California (NOW HIRING)

C3 AI

Strategy Manager

Redwood City, CA · On-site

C3 AI is seeking a Strategy Manager to execute and accelerate C3 AI's go-to-market strategy. As part of the Strategy team, you will drive critical go-to-market initiatives, including crafting ...

C3 AI

Strategy Manager

Redwood City, CA · On-site

$140K - $185K/yr

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of ... C3 AI C3 AI is seeking a Strategy Manager to execute and accelerate C3 AI's go-to-market strategy.

TravisMathew, LLC

AI Strategy Manager

Huntington Beach, CA · On-site

$113 - $170/hr

AI Strategy Manager will lead the development of TravisMathew's AI strategy and roadmap, prioritizing high-value AI use cases and driving enablement, adoption, and select high-priority initiatives ...

TravisMathew

AI Strategy Manager

Huntington Beach, CA · On-site

AI Strategy Manager will lead the development of TravisMathew's AI strategy and roadmap, prioritizing high-value AI use cases and driving enablement, adoption, and select high-priority initiatives ...

ServiceNow

Monetization Strategy Manager

Santa Clara, CA · On-site +1

$126K - $221K/yr

Join us to put AI to work for people. As a  Monetization Strategy Manager, you will help develop and execute strategic Pricing and Packaging recommendations to drive growth for ServiceNow ...

Servicenow

Monetization Strategy Manager

Santa Clara, CA · On-site

$127 - $222/hr

Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform ... As a Monetization Strategy Manager, you will help develop and execute strategic Pricing and ...

ServiceNow

Monetization Strategy Manager

Santa Clara, CA · On-site +1

$126K - $221K/yr

Join us to put AI to work for people. As a Monetization Strategy Manager, you will help develop and execute strategic Pricing and Packaging recommendations to drive growth for ServiceNow's Customer ...

ServiceNow

Monetization Strategy Manager

Santa Clara, CA · On-site +1

$126K - $221K/yr

Join us to put AI to work for people. As a Monetization Strategy Manager, you will help develop and execute strategic Pricing and Packaging recommendations to drive growth for ServiceNow's Customer ...

Cirrascale

Alliances GTM Strategy Manager

San Diego, CA · On-site

$160 - $180/hr

Our mission is to accelerate AI innovation by combining powerful hardware with white-glove service ... Position Overview Cirrascale is hiring a Alliances GTM Strategy Manager to serve as the growth ...

Deloitte

Technology Strategy Manager

San Jose, CA · On-site

Deloitte's Technology, AI, and Data Strategy professionals assist with: Qualifications Required: * Bachelor's degree * 6+ years of experience in strategy, management consulting, business ...

Deloitte

Technology Strategy Manager

Los Angeles, CA · On-site

Deloitte's Technology, AI, and Data Strategy professionals assist with: Qualifications Required: * Bachelor's degree * 6+ years of experience in strategy, management consulting, business ...

Deloitte

Technology Strategy Manager

San Diego, CA · On-site

Deloitte's Technology, AI, and Data Strategy professionals assist with: Qualifications Required: * Bachelor's degree * 6+ years of experience in strategy, management consulting, business ...

Deloitte

Technology Strategy Manager

Costa Mesa, CA · On-site

Deloitte's Technology, AI, and Data Strategy professionals assist with: Qualifications Required: * Bachelor's degree * 6+ years of experience in strategy, management consulting, business ...

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Strategy Manager Ai information

What does a strategy manager AI do?

A Strategy Manager AI is responsible for developing and overseeing the strategic direction of an organization's artificial intelligence initiatives. They analyze market trends, identify opportunities for leveraging AI technologies, and work with cross-functional teams to implement AI-driven solutions that align with business goals. Their role also involves managing budgets, assessing risks, and ensuring that AI projects deliver measurable value. In addition, they often communicate complex AI strategies to stakeholders and help shape the organization's overall digital transformation.

What are the key skills and qualifications needed to thrive as a strategy manager AI?

To thrive as a Strategy Manager AI, you need a solid background in business strategy, data analytics, and artificial intelligence, often supported by an advanced degree in business, computer science, or related fields. Familiarity with AI technologies, data visualization tools, and project management software, along with certifications such as PMP or relevant AI credentials, is typically expected. Strong leadership, critical thinking, and communication skills help drive cross-functional collaboration and influence decision-making at all levels. These skills are crucial for aligning AI initiatives with business goals and ensuring successful implementation and impact.

How does a strategy manager AI typically collaborate with cross-functional teams within an organization?

A Strategy Manager focusing on AI frequently works with a variety of teams, including data science, product development, IT, and executive leadership. Collaboration often involves translating business objectives into AI project requirements, ensuring alignment between technical teams and business goals, and communicating progress and challenges to stakeholders. This role also facilitates workshops, sets strategic priorities, and helps identify potential AI opportunities or risks across departments. Strong interpersonal skills and the ability to bridge the gap between technical and non-technical teams are essential for success.

What is the difference between Strategy Manager Ai vs Data Analyst?

AspectStrategy Manager AiData Analyst
Required CredentialsBachelor's or master's in business, data science, or related fields; experience with AI toolsBachelor's in statistics, mathematics, or related fields; proficiency in data analysis software
Work EnvironmentStrategic planning teams, cross-departmental collaboration, AI-driven projectsData-focused teams, reporting, data visualization, and analysis tasks
Employer & Industry UsageTech companies, consulting firms, finance, and marketing industriesResearch institutions, finance, healthcare, and tech sectors

The Strategy Manager Ai focuses on developing strategic plans leveraging AI technologies, while Data Analysts primarily interpret data to inform business decisions. Both roles require analytical skills, but Strategy Managers Ai emphasize strategic thinking and AI integration, whereas Data Analysts concentrate on data processing and reporting.

What cities in California are hiring for Strategy Manager Ai jobs?

Cities in California with the most Strategy Manager Ai job openings:

Strategy Manager Ai jobs near you
Infographic showing various Strategy Manager Ai job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Strategy Manager

C3 AI

Redwood City, CA • On-site

Full-time

Re-posted 3 days ago

Job description

C3 AI is seeking a Strategy Manager to execute and accelerate C3 AI's go-to-market strategy. As part of the Strategy team, you will drive critical go-to-market initiatives, including crafting proposals, delivering business insights through research and analysis, and creating executive-level materials, value models, and pricing strategy for industry-specific use cases. You will also be expected to leverage AI tools and automation to increase the team's throughput and quality, actively using C3 AI's own products and other frontier AI capabilities to transform how Strategy operates.

Responsibilities:

  • Proposal Development: Lead the creation of compelling proposals and RFP responses, collaborating with cross-functional teams, including Sales, Products, FDE, Legal, Finance, and our Executives.
  • Sales & Product Support: Develop materials for sales presentations, demos, and negotiations, ensuring clear communication of commercial and technical details.
  • Use Case & Value Modeling: Identify and formulate AI/ML use cases, build business cases and value models, and articulate the value proposition for potential customers.
  • Pricing Strategy: Analyze pricing approaches for Enterprise AI software, develop and refine pricing frameworks and models, and operationalize pricing across the company - partnering with Sales, Finance, and Product to drive consistent execution and deal-level guidance.
  • Market Research & Strategy: Analyze industry trends, competitor strategies, and market opportunities, synthesizing insights to inform company, product, and go-to-market strategies.
  • Strategic Planning & Partnerships: Contribute to business development efforts, structure partnership strategies, and analyze internal KPIs for strategic planning and forecasting.
  • AI-Enabled Commercialization: Identify and implement AI-driven workflows to automate and improve Strategy team outputs - including proposal generation, competitive research, market analysis, and executive materials - increasing the speed, scale, and quality of C3 AI's commercial efforts, and serving as a hands-on champion for AI tooling within the team.
  • Team Growth: Support the Strategy team's development by enhancing processes and mentoring other team members.

Qualifications:

  • Bachelor's degree (required); MBA from a top-tier school (preferred).
  • 6 - 9 years of experience in management consulting, investment banking, corporate strategy, or related fields.
  • Strong analytical and quantitative modeling skills, including experience building value models, pricing analyses, or ROI/business cases.
  • Exceptional written and verbal communication skills, with a track record of producing executive-ready documents.
  • Ability to manage multiple workstreams and collaborate effectively with diverse teams and executive stakeholders.
  • Interest in Enterprise AI and experience in one or more of the following industries strongly preferred: Energy, Industrial Manufacturing, Supply Chain, Telecommunications, Healthcare.
  • Demonstrated experience using AI tools (e.g., LLMs, AI agents, or automation platforms) to enhance personal or team productivity - particularly in strategy, sales, or business development contexts.

Candidates must be authorized to work in the United States without the need for current or future company sponsorship.

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