AI Strategist, Financial Services

Qualifications:

• 3+ years of direct experience in investment banking, private equity, hedge funds, equity research, or institutional asset management—you have built models, written memos, and lived the workflows you will now automate
• 6+ years of total experience spanning finance and some combination of technical GTM, sales engineering, solutions architecture, AI product strategy, or applied AI with customer exposure
• Deep fluency in front-office workflows: screening, comps, diligence, earnings, research synthesis, portfolio construction and monitoring
• Strong intuition for AI products, agents, and workflows, with the ability to understand technical systems without needing every detail pre-digested
• Comfortable working shoulder-to-shoulder with Forward Deployed Engineers and technical teams: scoping builds together, pairing on prototypes, and translating customer requirements into engineering-ready specs
• Demonstrated ability to turn ambiguous customer problems into scoped, executable deployment plans with clear success metrics
• Strong commercial instincts and comfort operating with MDs, partners, PMs, CIOs, and CTOs
• Excellent written and verbal communication; able to write proposals, customer memos, technical scopes, and launch narratives
• High agency and low ego, with the ability to run multiple complex customer workstreams in parallel and make progress before the playbook exists

Nice-to-Haves:

• Hands-on experience building with agentic systems, tool-use workflows, MCP, or LLM APIs
• Working knowledge of institutional data platforms: FactSet, Bloomberg, S&P Capital IQ, PitchBook, Morningstar, or similar
• Experience selling or deploying technology into regulated financial institutions, including security and compliance review
• Founder or early-startup operating experience
• Strong network across buy-side and sell-side institutions If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.