Senior Forward Deployed Strategist

Mannelly Recruitment•San Francisco, CA

3d•Onsite

About The Position

A fast-growing AI software development startup is hiring a Senior Forward Deployed Strategist to serve as the face of the company to Fortune 500 clients. The company is growing rapidly, and Fortune 50 and Fortune 10 clients already run its products in production. The strategist embeds with C-suite executives and senior managers to understand how client back offices operate, then communicates to engineering which AI agents to build. The role spans finance, sales, operations, legal, and HR deployments. It involves leading process-mapping sessions and stakeholder interviews, analyzing client data to identify problems, scoping work for engineers, and presenting findings to executives while handling pushback. Coding is not required; the person will learn AI on the job as part of a six-person forward-deployed team. The position involves 20 to 40 percent travel to client sites nationwide. Compensation includes a competitive salary and equity.

Requirements

1 to 6 years of experience as an analyst or associate in investment banking, private equity, or a top consulting firm; in strategy or BizOps at a top technology startup; or as a deployment strategist.
Background in investment banking, private equity, strategy consulting, BizOps, deployment strategy, or enterprise technology startups.
Degree from a top-30 university, or a clear signal of exceptional ability such as time at a top startup.
Comfort using AI tools such as ChatGPT and Claude, and curiosity about learning AI on the job.
Poise presenting to C-suite executives and handling pushback.
Willingness to travel 20 to 40 percent.
Authorized to work in the US without visa sponsorship.
Already based in San Francisco; relocation assistance is not offered.

Nice To Haves

Prior startup experience.
Financial and business modeling skills.
An ex-banker or ex-consultant move into BizOps or an AI role.

Responsibilities

Embed with C-suite executives and senior managers to understand client back-office operations.
Determine and communicate to engineering which AI agents to build for client needs.
Work across finance, sales, operations, legal, and HR deployments.
Lead process-mapping sessions and stakeholder interviews.
Analyze client data to identify operational problems.
Scope work for engineers.
Present findings to executives and handle pushback.