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About the Role

Lead client engagements end-to-end for a fast-growing AI engineering firm, working with billion-dollar clients and C-suite executives. This role is for individuals with exceptional polish, deep analytical ability, and a working understanding of AI, who thrive in startup environments with minimal oversight.

Responsibilities

• Own client accounts end-to-end, from engaging C-suite stakeholders to understanding workflows and ensuring project delivery.
• Lead a team of 2+ junior consultants/strategists on each engagement, managing their work and ensuring quality output.
• Ramp up on project context, understand client sentiment, and identify pain points across multiple concurrent engagements.
• Scope new AI agent implementations by translating business problems into clear engagement plans with defined outcomes and ROI targets.
• Work directly with founders to shape strategic playbooks and hiring.
• Solve complex, real-world automation challenges.

Requirements

• 4–10 years of experience, including 4+ years in management consulting at a top-tier firm (MBB or equivalent) owning client engagements.
• Degree from a top-tier university.
• Polished executive presence that commands C-suite confidence immediately.
• Extremely strong analytical skills.
• Working understanding of AI — able to scope AI implementations and discuss them credibly with engineers.
• Comfortable in startup environments with minimal oversight.
• Founder or early operator experience at a startup (nice to have).
• Must be able to work onsite 6 days a week.
• Comfortable with 10-20% client travel.

Skills

• AI implementation scoping
• Client engagement management
• Team leadership
• Analytical skills
• Executive presence

Location

• San Francisco

Work Type

• Onsite
• Hybrid

Experience Level

• 4-10 years
• 4+ years management consulting

Education Level

• Degree from a top-tier university

Benefits

• Simple visas (e.g., TN-1) are sponsored.
• Visa transfers are available.

About the Company

• A fast-growing AI engineering firm building production-grade agents for enterprise.
• Scaling aggressively off massive client demand.
• A period of significant client demand.
• Early-stage development.