Strategic Project Lead - Enterprise AI and Frontier Lab Data

Mannelly Recruitment • San Francisco, CA

4d • Onsite

About The Position

Join an eight-person AI data startup in San Francisco at the start of a major hiring wave. The Strategic Project Lead works at the center of the company, helping engineering and life sciences enterprises apply AI to valuable workflows and turning that work into datasets and evaluations for frontier AI labs.

This role spans enterprise go-to-market and outbound, including rolling out deployments across portfolio companies of a private equity firm; creating executive pitch decks; preparing materials for employee shadowing sessions so engineers can build products that fit each business; and managing operations that convert enterprise data into tasks for AI labs, including quality checks and removal of personal information. The role also hires and coordinates small groups of domain experts and manages delivery schedules, quality, and costs for lab customers. The Strategic Project Lead co-owns lab accounts alongside an Environment Engineer, with a stated path to Engagement Manager and then General Manager.

Compensation is a competitive base salary plus commission and equity. The team works onsite in San Francisco six days a week. Visa transfers, such as OPT or H1B transfers, and new visa sponsorship are available for qualified candidates.

Requirements

• 0 to 4 years of experience in consulting, banking, operations, or startup operations and go-to-market, with a clear signal of quality such as a top firm, a top school, or an early-stage startup.
• Experience running projects or workstreams at a top consulting firm, a bank, or an early-stage startup.
• Analytical skills, including using data to make staffing and delivery decisions.
• Client-facing experience with senior or executive stakeholders, such as building decks, running discovery, or pitching.
• Degree from a top university.
• Experience delivering AI training and evaluation programs.
• Ability to take a project from zero to one and scale it with real ownership.
• Willingness to work onsite in San Francisco on a six-day-a-week schedule.

Nice To Haves

• Experience managing distributed teams.
• Experience working with enterprise data.
• Experience with startup go-to-market and outbound.

Responsibilities

• Drive enterprise go-to-market and outbound, including rolling out deployments across a private equity firm’s portfolio companies.
• Build executive pitch decks.
• Prepare materials for employee shadowing sessions so engineers can build products that fit each business.
• Run operations that turn enterprise data into tasks for AI labs, including quality checks and removal of personal information.
• Hire and coordinate small groups of domain experts.
• Manage delivery schedules, quality, and cost for lab customers.
• Co-own lab accounts alongside an Environment Engineer.

Benefits

• Competitive base salary plus commission and equity.
• Visa transfers (such as OPT or H1B transfers) and new visa sponsorship are available for qualified candidates.
• Clear path to Engagement Manager and then General Manager.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level