About the team
ArcaLabs builds AI agents that run sell-side workflows — public comps, IC memos, pitchbook strip profiles, earnings comp analysis — for investment banks and PE funds. We are the official FactSet AI Partner, and the team behind Arcafeed (acquired). Our customers are the global heads of M&A, the MDs running pitches, and the analysts who used to spend their nights in Excel.
Forward Deployed Engineering is the team that turns research breakthroughs into production systems inside customer environments. We sit at the intersection of customer delivery, product, and core platform work — and we ship workflows that get used the same week we build them.
About the role
We're hiring a Forward Deployed Engineer (FDE) to lead end-to-end deployments of our agents inside investment banks, asset managers, and private capital firms. You'll fly to a customer's NYC, London, or Hong Kong desk on Monday, sit next to their analysts, and have a working agent running their Monday-morning comps refresh by Friday. Then you'll come back to Palo Alto and roll the patterns you discovered back into the core platform.
This is the highest-leverage engineering role at ArcaLabs. You'll build the workflows that define what a sell-side AI analyst can do, in the firm's house style, on FactSet's data, with full audit trails — and you'll see the work used live within days.
What you'll do
- Lead full-cycle deployments at top-tier banks and PE funds: discovery, scoping, building, customer training, and rollout.
- Build agentic workflows on the Claude Agent SDK and FactSet's data platform that produce pitch-ready Excel, PowerPoint, and Word deliverables in each firm's house style.
- Run agent-generated Python and TypeScript inside our E2B sandbox runtime — the layer that executes model code safely against customer data, with persistent sessions and WebSocket bridges back to the control plane.
- Pair directly with MDs and analysts to model the workflows that matter — the comps templates, IC memo formats, and pitch strip profiles that are version-controlled in their muscle memory.
- Write production Python and TypeScript that ships behind the firm's VPC with full SOC 2 / KMS controls.
- Identify reusable patterns across customers and champion them into the core platform with the rest of engineering.
You might be a fit if you
- Have 3+ years of software engineering experience, including time on a customer-facing or platform-applied team (FDE, solutions engineering, or in-house engineering at a fund).
- Are fluent in Python and TypeScript; have shipped agent-driven features in production — ideally with the Anthropic SDK or Claude Agent SDK, tool use, and sandboxed code execution.
- Are comfortable in the Excel/PowerPoint/Word object models — openpyxl, python-docx, python-pptx, ExcelJS. You've debugged a corrupt .xlsx or written formula provenance into cell comments.
- Read a 10-K like a banker reads a pitch deck — fast, with an eye on the footnotes.
- Are energized by sitting on a trading floor or in a deal room, not behind a Jira board.
- Have opinions about agent design, evals, retrieval, and tool use — and want to put them into production this quarter.
Bonus points
- Prior experience inside an investment bank, PE fund, asset manager, or financial data vendor (FactSet, Bloomberg, S&P, Refinitiv).
- Have built with the Anthropic SDK or Claude Agent SDK in production — tool loops, sub-agents, streaming, sandboxed execution.
- Terraform + AWS (ECS Fargate, RDS, S3, VPC). We deploy our own platform and customer single-tenant stacks via IaC.
Compensation
$180K – $280K + meaningful equity. Full benefits, relocation support, and daily breakfast, coffee, and snacks, plus complimentary fitness center access in Palo Alto. Travel covered to customer sites globally.
About ArcaLabs
ArcaLabs is the official FactSet AI Partner, building AI agents that run sell-side workflows for investment banks and PE funds. We're the team behind Arcafeed (acquired) and we're hiring the founding squad in Palo Alto. We believe AI will widen, not narrow, the set of people who can do high-end finance work — and we want to ship that future.
Equal opportunity
ArcaLabs is an equal opportunity employer. We hire based on merit, and we accommodate applicants with disabilities. If you need accommodation during the hiring process, email careers@arcalabs.ai.