Deployment Strategist

Mannelly Recruitment•San Francisco, CA

13d•Onsite

About The Position

A fast-growing AI data startup is hiring four Deployment Strategists to own and grow partnerships with leading AI labs and major technology companies. The role involves taking over existing customer accounts, keeping them healthy and expanding them, and working with multiple top labs at once. You will identify and close expansion opportunities within current research teams and with new customers, taking deals from contract through revenue. You will develop deep knowledge of audio, voice, and human and AI training data so you can advise customer researchers as a trusted partner. You will translate customer goals into actionable plans with research and operations teams and ensure high-quality data is delivered as promised. This is a go-to-market strategist role, not a forward deployed engineering role. The position is onsite in San Francisco, California, and offers a competitive salary plus equity. Visa transfers, such as OPT or H1B transfers, are welcome.

Requirements

At least 4 years of experience in deployment strategy, top-tier consulting, or a similar customer-facing role at a data or AI company; fewer years may be acceptable with highly relevant human data or audio and voice experience.
Customer-facing go-to-market skills, including managing relationships with technical teams and senior executives.
Technical intuition and ability to quickly learn the AI training data lifecycle.
Track record of solving ambiguous problems in fast-moving environments.
B2B client-facing experience generating opportunities and driving complex solutions for technical customers.
Experience at a fast-growing startup (Seed to Series B), a technology company, or a top management consultancy.
Comfort with SQL.
Ability to work well with internal operations and research teams to deliver on customer commitments.
STEM degree, ideally from a top 50 U.S. school.

Nice To Haves

Engagement manager experience in top-tier consulting.
Early-stage startup experience.
Go-to-market experience, including expanding existing accounts.

Responsibilities

Own and grow partnerships with leading AI labs and major technology companies.
Take over existing customer accounts and keep them healthy and growing.
Work with multiple top labs at once.
Find and close expansion opportunities within existing research teams and with new customers.
Take deals from contract through revenue.
Build expertise in audio, voice, and human and AI training data to advise customer researchers.
Translate customer goals into actionable plans with research and operations teams.
Ensure high-quality data is delivered as promised.
Work with internal operations and research teams to fulfill customer commitments.