Lead client discovery, define and prioritize AI use cases, analyze workflows, and design AI prototypes and process improvements. Collaborate with engineers to deliver solutions, manage project timelines and quality, train clients, support adoption, gather feedback, and iterate on outcomes. The role also requires tracking project progress, time, utilization, and efficiency across multiple client engagements.
Role Overview
As an AI Strategist, you will lead product discovery, use-case definition, and prioritization for clients. You will analyze workflows, design and prototype AI solutions and process improvements, and manage project delivery against defined commitments. You'll partner with engineers, support client training and adoption, and continuously optimize your own utilization and project efficiency.
Responsibilities
- Lead discovery sessions with clients, document their needs, and define use cases and prioritization within SOW scope.
- Set articulation & strategy for deliverables, ensuring clarity before beginning work.
- Collaborate closely with engineers on project execution and prototype development.
- Analyse client workflows to identify AI solution opportunities and process optimization.
- Design and prototype AI solutions and process improvement recommendations.
- Manage project delivery against contractual commitments, ensure projects meet timelines and quality standards, and client satisfaction is high.
- Conduct client training and support adoption of solutions as needed.
- Track your time and project progress in ClickUp, submit weekly updates, and keep utilization and project efficiency optimised.
- Gather feedback on solutions, make needed adjustments, and iterate for better outcomes.
What You Need to Succeed
- Proven experience in AI strategy, solution design or AI/LLM implementation.
- Demonstrated ability in workflow analysis and process optimization.
- Strong project management and delivery track record, ideally in AI, technology, or consulting environments.
- Excellent communication skills with clients and cross functional teams; capable of translating technical concepts to business outcomes.
- Self-driven, detail-oriented, able to manage time and tasks (including time tracking and administrative responsibilities) effectively.
- Comfortable in fast-paced, evolving situations with multiple simultaneous client engagements.
Preferred Qualifications
- Experience working directly with clients in an AI or automation context, from discovery through delivery and adoption.
- Familiarity with tools/processes like ClickUp (or similar project-management platforms).
- Background in consulting, workflow automation, or AI driven process transformation.
- Technical acumen with AI/ML/LLM tools, prototyping or automation systems is a plus.
The base pay range for this role is $80,000 – $100,000 per year.
Similar Jobs
.png){kind=logo}
Artificial Intelligence • Big Data • Consumer Web • eCommerce
Own end-to-end data studies using proprietary checkout and shopper data, from warehouse queries and statistical validation through publication and media pitches. Conduct interviews, panels, and reporting; maintain canonical statistics; verify agent-generated research; and produce clear, citable findings for journalists and AI answer engines. The role requires independent judgment, hands-on SQL, rigorous source evaluation, and consistent publication of four to six studies or rapid data answers monthly.
Top Skills:
BigQueryCortexGoogle Analytics 4Google Search ConsoleSQL
Software
Own enterprise AI customer engagements from discovery through deployment, adoption, measurement, and expansion. Analyze SAP-based finance and operations workflows, identify high-value automation opportunities, define measurable outcomes, align executive and technical stakeholders, and guide autonomous agent deployments to measurable business impact. The role combines operational discovery, AI strategy, deployment planning, stakeholder management, and customer expansion.
Top Skills:
Agentic WorkflowsArtificial IntelligenceBusiness Intelligence ToolsPythonSAPSQL
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software
Owns customer success for strategic enterprise customers using Edwin’s AI platform. The role guides customers from deployment through adoption, value realization, and Autonomous IT maturity; develops success plans, monitors usage and health signals, leads executive business reviews, demonstrates ROI, identifies expansion opportunities, and coordinates with Sales, Product, Engineering, Marketing, and AI Impact teams. The strategist also contributes customer insights and improves AI-first engagement playbooks.
Top Skills:
Ai/MlAPIsAutomationEnterprise SaasObservability Platforms
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
