2 дня назад
Advisory (AI/Finance)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Advisory (AI/Finance): Building and executing partnership strategies for enterprise financial institutions, with an accent on Generative AI adoption, financial-services workflows, and customer success. Focus on managing the full partnership lifecycle, developing joint solutions with product and engineering teams, and solving complex LLM-in-production challenges.
Location: London
Company
builds enterprise AI products that transform workflows for investment banks, private equity funds, and other financial institutions.
What you will do
- Build and execute strategies for working with enterprise partners, including team training, joint operations, and alignment.
- Manage the full partnership lifecycle from launch through expansion and renewal.
- Represent customer needs and develop joint solutions based on financial-services workflows.
- Collaborate with engineering, product, and go-to-market teams to deliver partner solutions.
- Define success metrics, key performance indicators, and reporting processes.
- Build lasting relationships with senior stakeholders and help secure multi-million-dollar contracts.
Requirements
- 3+ years of experience in a front-office finance role, specifically sales and trading.
- Outstanding project management and communication skills.
- Strong organization and attention to detail.
- Action-oriented approach combining creative problem-solving with reliable execution.
- Ability to work hands-on with users and guide AI strategy for major financial-services firms.
Nice to have
- Experience as an early employee at a hyper-growth startup.
- Knowledge of large language models, including transformer architecture.
Culture & Benefits
- High-ownership environment focused on solving complex, ambiguous problems.
- Close collaboration with experienced professionals in AI and finance.
- Opportunity to work on Generative AI products for leading financial institutions.
- Direct exposure to advanced product and engineering challenges involving LLMs in production.
- Meaningful ownership of work used by sophisticated financial-services users.
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