Perplexity07/24/2026
Стратег по ИИ в финансовых услугах
Salary not specified
MARKET
65,900 ₽median for this role
AI Researcher · 37 jobs with disclosed pay
5,600half of the offers: 16,833–78,900143,300
The employer didn't disclose pay — compare with the market yourself.
Полная занятостьУдалёнка
Responsibilities
- 01Lead discovery with banks, PE firms, hedge funds, and asset managers: what matters to the investment team, what problems they are solving, and which workflows are worth automating
- 02Define scope—what is the right thing to build—and own success metrics, pilot design, and commercial structure
- 03Drive deployment and rollout across front-office teams, with real revenue responsibility alongside Sales
- 04Build and deliver compelling, workflow-specific demonstrations: screening, comps, diligence, earnings analysis, research synthesis, portfolio monitoring
- 05Prototype workflows, skills, and connector configurations hands-on in Perplexity Computer and the API Platform to prove value in the customer's own use cases
- 06Run pilots and evaluations that hold up to scrutiny from skeptical analysts and PMs
- 07Translate how deal teams, research desks, and portfolio managers actually work into product, connector, and data-partnership priorities
- 08Assess whether we have the right market data, filings, transcripts, and research integrations to serve each finance sub-vertical—and drive the roadmap where we do not
- 09Codify repeatable engagement patterns: discovery templates, finance-specific reference workflows, demo libraries, and deployment playbooks
- 10Own senior relationships with investment professionals and technology leaders; move engagements through qualification, scoping, proposal, pricing, legal, and close
- 11Create urgency, write crisp follow-ups, and know when to push and when to wait
Requirements
- 013+ 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
- 026+ 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
- 03Deep fluency in front-office workflows: screening, comps, diligence, earnings, research synthesis, portfolio construction and monitoring
- 04Strong intuition for AI products, agents, and workflows, with the ability to understand technical systems without needing every detail pre-digested
- 05Comfortable 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
- 06Demonstrated ability to turn ambiguous customer problems into scoped, executable deployment plans with clear success metrics
- 07Strong commercial instincts and comfort operating with MDs, partners, PMs, CIOs, and CTOs
- 08Excellent written and verbal communication; able to write proposals, customer memos, technical scopes, and launch narratives
- 09High agency and low ego, with the ability to run multiple complex customer workstreams in parallel and make progress before the playbook exists