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Salary: GBP 60,000 - 106,000 / annual
Hebbia is an AI platform for investors and bankers that generates alpha and drives upside. Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock, KKR, Carlyle, Centerview, and 40% of the world's largest asset managers. The flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis and is trusted to help manage over $30 trillion in assets globally.
The AI Strategy Team bridges product, commercial strategy, and customer impact. AI Strategists are deep domain experts and problem-solvers who understand the manual workflows of users and the ways Hebbia provides value. They focus on embedding and expanding Hebbia use cases within customer environments to maximize ROI and transform how work gets done.
This is not a typical post-sales role. You will drive the strategic deployment and measurable value creation of Hebbia's platform across top global financial institutions, shaping how AI transforms the enterprise. You will sit at the intersection of GTM, product, and post-sales, helping shape commercial strategy and expanding Hebbia's footprint across the global financial industry landscape. The team owns deployment and early adoption, leads strategic growth initiatives post-sale, and partners cross-functionally to inform product roadmap, sales strategy, and executive account management.
Key responsibilities include: developing expertise with leading LLMs (Opus 4.6, GPT-5.2, Gemini 3, etc.) and becoming a subject matter expert in Hebbia's product and features; building domain expertise in complex banking, financial, and legal workflows of users (e.g., credit agreements, lease documents); becoming a core advisor who deeply understands customer stakeholders and drives value and growth as a trusted AI advisor; identifying and capturing value with customers as a key driver of land-and-expand commercial strategy; defining and enhancing internal processes and workflows to shape the post-sales team and improve customer experience; and operating with autonomy and clarity in fast-moving, unstructured environments to distill complex problems and drive actionable solutions.
You will thrive on solving complex problems, building meaningful partnerships, and helping define how AI reshapes finance. This role is based in the London office, 5 days per week.
Requirements:
- Bachelor's degree, preferably in Finance, Economics, Computer Engineering, or Pre-Law
- 1–5 years of client-facing experience in investment banking, institutional investments (private credit, private equity, hedge funds, asset management, investment research), professional services (accounting, consulting, insurance, corporate law), or Fortune 500 corporate finance roles with significant client-facing and leadership responsibilities; relevant internship experience can be considered for recent graduates
- Strong ownership mindset with demonstrated track record of outperformance, value creation, and expanded responsibilities
- Experience and comfort with leading LLM models and tools; demonstrated work building, testing, or researching with these tools
Bonus qualifications:
- 5–10 years of client-facing experience with emphasis on relationship-building
- Strong commercial acumen and experience driving revenue expansion, particularly deploying AI/SaaS into enterprise organizations
- Technical startup and/or founder experience building systems and processes for scale
- LLM technical knowledge and practical experience implementing into professional workflows
