Private Equity Engagement Lead

About the Role

Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services. Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact. You'll work alongside exceptional peers on some of the hardest problems in applied AI.

Responsibilities

• Execute AI Diligence: Conduct deep-dive assessments of target companies' AI strategies, data infrastructure, and technical maturity. Synthesize findings into clear, business-oriented insights on opportunities, risks, and value creation potential.
• Sponsor & Client Management: Partner with engagement lead to manage private equity and corporate sponsor relationships. Prepare materials, manage workstreams, and contribute to client-facing presentations and deliverables.
• Bridge Strategy & Technology: Translate complex AI/ML capabilities into actionable recommendations for investment committees and portfolio executives, working closely with senior team members to refine and deliver strategic narratives.
• Contribute to Value Creation Plans: Collaborate with engineering and product leaders to scope, prioritize, and define AI solutions within sponsor-backed assets — supporting commercial outcomes and technical feasibility assessments.
• Drive Execution: Own discrete workstreams within diligence engagements, managing day-to-day execution from research through deliverable production with high analytical rigor.

Experience

• 2-3+ years of professional experience.
• Background in top-tier consulting (McKinsey, Bain, BCG), private equity, and/or AI technology companies preferred.
• Startup or high-growth operating experience preferred; comfort with ambiguity and moving fast.
• Experience contributing to complex diligence processes, strategic analysis, or technical evaluation processes.

Skills & Attributes

• Strong technical literacy in AI/ML, with the ability to evaluate data pipelines, model strategies, and infrastructure at a high level.
• Exceptional problem-solving and analytical skills; ability to turn complex analyses into clear insights.
• Executive-level communication; proven ability to influence senior sponsors, investors, and portfolio executives.
• Low-ego, hands-on operator who thrives in ambiguous, fast-paced environments.
• Commercial instinct and ownership mindset — capable of connecting AI opportunities directly to value creation.
• Must be in SF or willing to relocate (hybrid 3 days/week in office).

Why Join Us

• See inside dozens of companies per year across sectors, building pattern recognition in AI strategy that's impossible to get in a single-company role.
• Work directly with deal teams and portfolio executives at the most prestigious PE firms, gaining exposure to investment decision-making at the highest level.
• Develop deep expertise at the intersection of AI and private equity—a niche with rapidly growing demand and very few experienced players.
• Earn competitive compensation + meaningful equity.
• Join a small, high-impact team where your work directly shapes investment outcomes and AI strategy for major portfolio companies.