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Описание вакансии
Текст:
TL;DR
AI Strategist (AI/Finance): Driving strategic deployment and measurable value creation of Hebbia’s AI platform across global financial institutions with an accent on LLM applications, financial workflows, and customer value. Focus on advising executive stakeholders, identifying expansion opportunities, optimizing post-sales processes, and solving complex problems in an ambiguous environment.
Location: London office, onsite five days per week
Compensation: £60,000–£106,000 combined base and bonus (OTE) plus competitive equity; candidates meeting bonus qualifications may receive £97,000–£135,000 OTE.
Company
Hebbia develops an AI platform for investors and bankers, including its Matrix product for AI-driven analysis across major financial institutions.
What you will do
- Apply leading LLMs and develop deep expertise in Hebbia’s AI platform and product features.
- Deploy AI solutions into complex banking, financial, legal, and professional workflows.
- Build domain expertise in workflows involving credit agreements, lease documents, and related financial materials.
- Advise customer stakeholders, drive measurable value, and support land-and-expand growth.
- Define and improve post-sales processes and workflows to scale customer experience.
- Work cross-functionally across customer, product, sales, and executive account management needs.
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, professional services, or corporate finance; relevant internships may be considered for recent graduates.
- Demonstrated ownership, outperformance, value creation, and ability to take on expanded responsibilities.
- Experience and comfort working with leading LLM models and tools, including examples of systems or workflows built, tested, or researched.
- Ability to work onsite from the London office five days per week.
Nice to have
- 5–10 years of client-facing experience focused on relationship-building.
- Commercial acumen and experience driving revenue expansion through enterprise AI or SaaS deployments.
- Technical startup or founder experience, including building systems and processes for scale.
- Technical LLM knowledge and practical experience implementing LLMs in professional workflows.
Culture & Benefits
- Work in a fast-moving, hypergrowth environment.
- Operate with autonomy in ambiguous and unstructured situations.
- Partner across go-to-market, product, post-sales, and executive account management functions.
- Competitive equity in addition to the stated OTE compensation range.
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