Forward Deployed Engineer

Job Description

About Us

We specialise in building enterprise AI agent platform that deploys custom agentic workflows across highly

regulated and complex environments, including governments, hospitals, and banks. The platform sits on

proprietary primitives, including a hill-climbing algorithm that optimizes agents in context space, and handles

everything from Slack integrations and routing to sandboxed infrastructure for regulated deployments. Customers

include organizations across the public sector and large enterprises such as NBC, Toyota, and Domino's.

About the Role

We are hiring a Forward Deployed Engineer to own enterprise deployments end to end, from

requirements discovery through live production. You will be the single person accountable for each account,

sitting alongside customers across government, healthcare, and enterprise to understand their needs, stand up

the agent pipeline, and iterate until the outcome is provably working. The work spans everything from bare-metal

GPU deployments of open-source models under Docker and Kubernetes to running mock-spec sessions with

ministry teams and building evals against customer-defined success criteria. This is a founding deployment hire

and will report directly into engineering.

What You'll Own

1. Own the full lifecycle of each enterprise account, from initial requirements discovery and customer calls

through agent pipeline setup, deployment, and iteration

1. Deploy our platform onto customer infrastructure, including bare-metal GPU environments, open-

source model fine-tuning, Docker containers, and Kubernetes orchestration for regulated environments

1. Gather requirements, generate sample data, build evals and benchmarks, and define success criteria in direct

collaboration with customer stakeholders

1. Run mock-spec and requirements sessions with enterprise and government customers, asking the right

questions to surface what a working deployment actually looks like

1. Manage three to four active accounts simultaneously once ramped, looping in core engineering as needed

while remaining the single accountable owner for each

1. Hand off mature accounts and expand scope as the customer grows, helping us scale its deployment

capacity

Must-Have

1. Strong technical foundation: able to deploy open-source models, work with Docker and Kubernetes, and

debug production systems end to end without hand-holding

1. Excellent customer-facing communication skills: comfortable owning calls with government, hospital, and

enterprise stakeholders, setting requirements, and running structured spec sessions

1. Highly resourceful and organized: able to run multiple accounts in parallel, drive each to a clear outcome, and

escalate precisely when needed

1. 0 to 6 years of experience in a deployment, forward-deployed, or technically customer-facing engineering role,

or equivalent demonstrated ownership

1. In-person at the San Francisco office; candidates unable to relocate may be considered only in exceptional

circumstances

1. Willingness to work the stated schedule: Five days a week in-office; intense, high-ownership pace with

milestone-driven expectations. No 996 requirement.

Nice-to-Have

1. Prior forward-deployed engineering experience at Palantir, Decagon, technical Sierra, Distill, C3, or a company

with a similar FDE motion

1. Technical consultancy background: has sold, scoped, and delivered client engagements, particularly with a

technical component

1. Entrepreneurial side projects, a small consultancy, or any experience getting in front of customers and solving

problems under resource constraints

1. Exposure to bare-metal GPU infrastructure, open-source model deployment, or fine-tuning in a production

context

1. Experience working with customers outside the United States, given the international composition of

our customer base

Fill in the form, we will contact you...