AI Strategist - Hybrid, CA
Requires applied AI experience well above vibe coding; you'll build and demo AI-enabled tools, custom agents, and workflows.
About the Role
Lead end-to-end AI-driven Operational Intelligence engagements for retail and consumer brands, owning discovery, business case, specifications, delivery direction, and adoption. Serve as the primary client contact, translate business outcomes into scoped AI and operational solutions, and ensure quality, profitability, and expansion of the program.
Job Description
Role
You will run Operational Intelligence accounts end-to-end for retail and consumer brands, acting as the primary client contact and owning discovery, business case development, specification, delivery direction, and adoption. The role emphasizes long-term program delivery rather than single-tool solutions and requires embedding in client workflows to identify opportunities early.
Key Responsibilities
- Own multiple accounts independently as the primary point of contact
- Lead discovery across defined operational areas (e.g., customer experience, marketing operations, forecasting, inventory), benchmark performance, and identify opportunities
- Build clear business cases: expected impact, costs to deliver, and measurement
- Produce specifications precise enough for engineers and analysts to execute
- Direct concurrent projects and contractors to deliver against scope
- Drive adoption and ensure shipped systems remain in use and move tracked business metrics
- Maintain quality and profitability and identify repeatable offerings from bespoke work
How Success Is Measured
- Clients treat you as an operational and AI partner rather than a vendor contact
- Work expands beyond initial projects because you surface the next opportunity early
- Contractors execute from your direction without redoing discovery or specs
- Deliverables move tracked business metrics and remain in use after launch
- Multiple accounts run concurrently without losses in quality, client trust, or margin
Requirements
- Startup experience (built or operated) with comfort creating playbooks while delivering
- Strong client-facing and executive communication skills; able to challenge clients and refocus on business problems
- Deep, applied AI experience (tools, products, custom agents, or workflows you have built); you will be asked to demo an Applied AI case study
- Technical and analytical fluency to reason about agent systems, data connections, backend architectures, APIs, and implementation tradeoffs
- SQL and/or Python experience is valuable
- Ability to read a P&L, explain how Shopify/e-commerce businesses make money, and build financial models
Nice-to-have
- Time on the operator side inside a consumer or e-commerce brand
- Published writing or talks on applied AI
Working Style
- You will be embedded in client businesses and responsible for the full arc from relationship and discovery to delivery and the business metric at the end
- This is an early hire in the practice with scope to shape the offering; the environment suits those who want ownership and accountability rather than fixed scopes or predictable weeks