Forward Deployed Engineer
About The Position
Varick builds AI agents that take over real operational workflows inside the world's largest enterprises. Our forward-deployed engineers and strategists embed with client teams to map how work gets done and build POCs, then our engineers bring those agents into production. You'll join an elite team from Meta, AWS Bedrock, Citadel Securities, McKinsey, BCG, Stanford, and more. Forward Deployed Engineers are the client-facing builders at Varick. You embed with enterprise stakeholders ranging from C-suite to operators on the ground. You conduct interviews with process leads, deploy process mining agents across systems of record, and iterate on agent POCs together with the client. This is a role for people who communicate clearly, think like operators, and build like engineers. You sit across the table from a controller and map how the process actually runs — not merely how the documentation says it does — then you turn that into specs, prototypes, evals, and working agents. You don't need to be a distributed-systems engineer. You need to know what to build, prove that it works, and land it with the client. You also need to be the person to bring the stakeholders along. You will co-create KPIs with leadership, co-create UI surfaces with process owners, and plan & execute change management initiatives. There is an enormous difference between building a demo and running agents inside a Fortune 500 team. This role lives in that difference.
Requirements
- A track record of solving hard, ambiguous problems for senior stakeholders and shipping the result — whether you got there as a SWE, product manager, consultant, a banker, a private equity investor, a forward deployed engineer, or a sales engineer. We care more about what you've built and owned than where you trained
- AI-native. You use solutions like Claude Code, Codex, or Cursor every day; you've built with LLMs — prompt design, agents, evals — and you have a real point of view on what works well and how to best leverage AI in your workflows. You can demonstrate this and argue well for your choices
- Communication & client presence. You can hold a room of executives, push back on a controller without losing them, and tailor your depth to the audience. You can communicate your ideas clearly and effectively, both async and sync, to any audience. You can explain topics at different altitude levels and switch between these effortlessly
- Analytical with an extreme learning gradient. You have an analytical mindset and embody the rigor to ensure you present well-documented, well-researched answers to the client as well as to your colleagues. You can pick up new topics ~instantly, be it during client interviews when they teach you about their specific workflows or as new technological advancements demand a deepening of your existing technical knowledge
- Technical enough to build. You write Python or SQL comfortably, you've worked with APIs, you can read a data model and follow a trace, and you've shipped something real that people depended on — a product, an internal tool, a model, an automation. You may have gotten there as an engineer, a technical PM, a sales engineer who built every demo, or a consultant or banker who taught yourself to ship agents on weekends
Nice To Haves
- (Technical) Founder or early employee at a startup that sold into the enterprise
- (Technical) Product Manager at top-tier company
- Forward Deployed Engineer or Implementation Engineer at a top-tier AI company
- Sales Engineer or Solutions Architect at an enterprise software company
- Senior SWE who wants to work closer to the customer & solve real problems in a compressed timeline
- Data scientist or analytics lead who has worked directly with business stakeholders, owned a deliverable end to end, and shipped a model into a real workflow
- Quant, trading, or research analyst from a top-tier firm
- (Non-technical) Product Manager at top-tier company
- Experience from top-tier Consulting, Investment Banking, or Private Equity
- Deployment Strategist at a top-tier AI company
- (Non-technical) Founder or early employee at a startup that sold into the enterprise
- Chief of staff, BizOps, or corporate strategy at a high-growth company
Responsibilities
- Embed with client teams across departments (from finance, sales, and IT to marketing, HR, and operations) to map how work gets done – step by step, system by system. Go beyond the golden path. Find the exceptions, the workarounds, and the impact of handoffs across teams for exception-handling
- Translate ambiguous business problems into well-framed agent workflows with clear success criteria, guardrails, and an evaluation plan leveraging the latest Varick toolkits & process re-engineering solutions
- Co-create KPIs with clients, identify ways to baseline these & propose solutions for ongoing monitoring of post-deployment uplift
- Drive adoption: Train the client's team, sit with the users, watch what they actually do, and continuously iterate on the agents
- Present findings, prototypes, and results directly to C-suite stakeholders. Top tier communication is a requirement for this role; simply being technical is not enough. If you don’t have what it takes to command a room of the world’s largest executives, you are not a good fit for this role
- Codify what works into Varick's playbooks, skill files, and broader toolkit. Share field signal with our platform team: where the agents succeed, where they fail, what the model can't do yet, and what to build next
- Build and leverage relationships with existing Varick clients to help them identify their biggest opportunities for additional AI transformation – maybe this is additional agentic initiatives within the same department, or an expansion to a new department within the same org
Benefits
- Meaningful equity at a stage where it still compounds
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
