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Salary: USD 130,000 - 160,000 / annual
Farsight is an AI-powered platform that enables teams to deliver client-ready documents natively in Microsoft Office Suite (slide decks, CIMs, financial models, memos). Unlike general AI finance platforms focused on research, Farsight specializes in high-quality, personalized deliverables generation and iteration. The platform captures judgment data through comments, edits, and nuances made during document refinement, using a firm's historical best practices and voice to ensure branded, non-generic outputs. The company operates with SOC-2 compliance, full end-to-end encryption, and flexible deployment options.
As a Strategy & Operations Associate, you will serve as connective tissue across the organization, translating ideas into execution across product, engineering, customer success, and leadership. You will partner closely with engineers to scope, test, and launch new features and workflows. You'll serve as a hands-on advisor to strategic customers, guiding onboarding, product setup, and early use-case design, and work directly with users to build and deploy customized workflows. You'll gather frontline feedback to shape product roadmap and feature prioritization, drive cross-functional initiatives requiring coordination across the organization, help build internal systems and playbooks to scale operations, and contribute to go-to-market motion by translating platform capabilities into clear, value-driven narratives.
This is a high-leverage, multi-disciplinary role for someone who thrives in ambiguity and wants to directly shape a category-defining company. The team includes Strategy & Ops members with backgrounds from J.P. Morgan, Morgan Stanley, Evercore, General Atlantic, Mizuho, Barclays, and more. The role is based in Manhattan with in-person work 4 days per week (Fridays are remote).
REQUIREMENTS:
- 2–4 years of experience in investment banking and/or private equity
- Deep comfort working across functions with high ambiguity
- Strong communication and project management skills; ability to turn ambiguity into action
- Scrappy and entrepreneurial mindset; willing to figure things out without a playbook
- Analytical thinker excited to work with technical teams and complex products
- Obsessed with quality; not satisfied until things work and scale
- NYC-based and able to work onsite as needed
- Valid U.S. work authorization required
NICE-TO-HAVE:
- Experience or interest in enterprise SaaS, B2B AI platforms, or fintech/financial services
- Familiarity with PowerPoint, Excel, CRMs, and data room platforms
- Technical background or experience working closely with engineers
