AI Deployment Lead – GTM

Job not on LinkedIn

🕒 June 30

🏢🏡 San Francisco – Hybrid

⏰ Full Time

🟠 Senior

🎁 Product Marketing

👻 Ghost score 34%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Global Brain Corporation

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1998

💸 Finance

📚 Education

Finance • Investment • Education

Global Brain Corporation is an independent venture capital firm that focuses on supporting startups and fostering open innovation with large corporations. With a mission to introduce new industries to society, Global Brain actively invests in and collaborates with a diverse portfolio of companies, helping them scale globally. The firm manages over $2 billion in assets and is committed to facilitating partnerships between startups and established enterprises to drive growth and innovation.

📋 Description

• Run discovery and engagement operations, leading structured discovery with customers, developing value sizing and product proposals, mapping their needs, and running the day-to-day rhythm of an engagement so nothing falls through the cracks. • Own end-to-end delivery: own your engagements from kickoff to adoption: lead delivery sprints and deployment timelines, coordinate the cross-functional delivery team, and ensure timely, high-quality, audit-ready solutions in regulated environments. • Define and prioritize features: partner with clients to identify high-impact problems across their workflows, and define the AI-driven product features that address them. • Translate business needs: convert customer requirements and operational pain points into clear technical specifications and use cases for internal engineering teams. • Drive adoption and change management: onboard stakeholders and engage users, lead the people-and-process change required for new ways of working to take hold, and gather direct feedback to drive continuous improvement. • Drive program success and commercial expansion: partner with the client to deliver measurable program outcomes, and own the commercial agenda within each account, building the trust and impact that expand our relationship over time. • Support AI diligence and value creation: contribute to deep-dive assessments of target companies’ AI strategies, data infrastructure, and technical maturity, and help shape plans that connect AI capabilities to commercial outcomes. • Bridge business and technology: translate complex AI/ML capabilities into actionable recommendations for investment committees, portfolio executives, and senior client stakeholders. • Collaborate cross-functionally: serve as the bridge between customers and internal teams, including data scientists, engineers, and product leads.

🎯 Requirements

• 10+ years of professional experience. • A background in top-tier consulting (McKinsey, Bain, BCG), private equity, investment banking, AI/product companies (e.g., Palantir, Google, Amazon), or technical and operating roles at large enterprises or financial institutions. • Experience working with customers or clients, leading discovery, building trust, and navigating senior stakeholders. • Commercial instinct and/or experience, thinking through value, pricing, and what it takes to win and grow an account, not just the analysis. • Demonstrated success driving both people and process change at large enterprises — operating-model redesign, workflow transformation, and adoption at scale, not just software rollouts. • Comfort with AI and technical concepts, able to work closely with product and engineering and translate between technical and business audiences. • Strong communication and building skills. Ability to turn complex analysis into clear narratives and high-quality materials that move decisions. • Range and ownership. Comfort moving between customer work, analysis, and operations, and thriving in ambiguity: can take things 0 to 1 without waiting for a playbook.

🏖️ Benefits

• Competitive compensation including salary, equity, and performance incentives.