By FDE Interview Prep, a SourceStrongAI company

In this post12 sections
  1. What employers say about the start
  2. How employers describe a customer engagement
  3. Weeks one and two: learn the product and the customer
  4. Weeks three and four: map the people, the data and the access
  5. The rest of the first month: ship one small thing
  6. Months two and three: widen, measure, hand over
  7. Mistakes that cost trust early
  8. Turn the plan into your interview answer
  9. Learn the job before the first day
  10. Questions people ask
  11. Keep reading
  12. More from the blog

Nobody hands a a ticket queue. You are handed a customer: a sponsor with a promise from sales, a team tired of a workflow, and systems you cannot log in to yet. If you are still deciding whether the job is for you, start with what a forward deployed engineer is.

Here is our plan for the first three months. In weeks one and two, get the sponsor’s goal in their words and file every access request. In weeks three and four, map the people, the data and the access, and agree one small slice. By the end of month one, that slice is in a real user’s hands. In months two and three, widen what is used, measure it against the sponsor’s number and hand it over. The same plan answers the interview question “what would you do in your first month?”.

StretchYou finish it with
Weeks one and twoThe sponsor’s goal in their words, and access requested
Weeks three and fourA map of people, data and access, and an agreed first slice
Rest of the first monthOne small thing in a real user’s hands
Months two and threeA measured result and a customer who can run it

It is our method, not a description of what any employer does, and it assumes you have one main customer.

What employers say about the start

Three employers describe the start in public.

Notice what none of these says: how long before you run a customer on your own, or how the first months are judged. We found no employer that publishes either, so ask: “What does a new FDE own by the end of their first quarter here?” The answer tells you more than the posting does.

How employers describe a customer engagement

The Pragmatic Engineer reported, in August 2025, that OpenAI’s Head of FDE described customer projects in three phases: early scoping with a couple of days on site, validation against agreed criteria including evals, and delivery on site for a few days a week. Source 5What are Forward Deployed Engineers, and why are they so in demand? (Gergely Orosz)PublisherThe Pragmatic EngineerSource typenews report OpenAI itself says an engagement of its Deployment Company begins with a focused diagnostic of where AI can create the most value, followed by a few priority workflows chosen with the customer’s leadership, and that FDEs then work inside the organization to design, build, test and deploy production systems. Source 6OpenAI launches the OpenAI Deployment Company to help businesses build around intelligence | OpenAIPublisherOpenAISource typecompany blog

Two details shape those weeks. As of September 2026, a MongoDB posting for a program manager on FDE engagements says FDEs start the agent-build phase by running an onboarding session for the customer’s engineering team, so their local development setup is seamless. Source 7Sr. Technical Program Manager, FDE EngagementsPublisherMongoDB CareersSource typecompany job posting So from the start of a build, onboarding the customer’s engineers is part of your job, not only onboarding yourself. And the request is not the reality: Colin Jarvis, then OpenAI’s Head of Forward Deployed Engineering, was quoted by The Pragmatic Engineer, in August 2025, as saying that what customers describe in scoping often does not match the data and system reality, so the team biases toward moving fast and re-scoping to the most useful thing it can do. Source 5What are Forward Deployed Engineers, and why are they so in demand? (Gergely Orosz)PublisherThe Pragmatic EngineerSource typenews report

The scoreboard is the customer’s, not yours. Palantir says its Deltas, its name for forward deployed software engineers, measure success in terms of impact on the customer’s goal when they work on a team that supports one customer. Source 8Dev versus Delta: Demystifying engineering roles at PalantirPublisherPalantir BlogSource typecompany blog Source 8Dev versus Delta: Demystifying engineering roles at PalantirPublisherPalantir BlogSource typecompany blog

That gives the plan three jobs: find the gap between what was asked and what is true, get something real in front of users early, and tie it to the customer’s goal.

Weeks one and two: learn the product and the customer

Learn the product the way the customer will meet it. Set it up from scratch with the customer’s constraints in mind: their identity provider, their network rules, their data volumes. Write down the three limits you would warn a customer about.

Read what was sold. The contract, the statement of work, the account team’s notes, and any email where someone promised something. The gap between what was sold and what is possible is the first risk you own.

Meet the sponsor and get the goal in their words. Ask:

  • “If this works, what will your team be doing differently?”
  • “What number would tell you it worked, and where does that number live today?”
  • “Who will notice first if it doesn’t work?”

Then write their answer down and read it back. “Faster claims” becomes “cut the time to first payment on simple claims”. That sentence is what you will be measured against, whether or not anyone says so.

File access requests on your first day. Access runs on someone else’s calendar: security reviews, service accounts, VPN tokens, a data-sharing agreement. Ask the customer’s engineering lead which requests exist and who approves each one.

Weeks three and four: map the people, the data and the access

The people map. For each person, write what you need from them and what they fear.

  • Sponsor. Need: the goal, decisions, air cover. Fears: a pilot that eats the quarter with nothing to show.
  • Daily users. Need: how the work really happens. Fear: extra clicks, or being blamed for the tool’s mistakes.
  • Customer engineers. Need: access, context, a future owner. Fear: being left to maintain code they didn’t write.
  • Data owner. Need: meaning, freshness, permission. Fear: their data used wrongly or leaked.
  • Security, IT, legal. Need: no surprises. Fear: an exception they will have to answer for.

The people who can block you may not be in the kickoff meeting. Meet security early, when you are asking questions, not late, when you are asking for an exception. The lesson on stakeholders and success metrics goes deeper on sponsors and blockers.

The data map. For every input the work depends on, answer three questions: what exists, who owns it, and how fresh it is. Then trace one real record end to end, from the moment it is created to the report where the sponsor sees it. You will find the spreadsheet beside the system and the manual step nobody mentioned. The lesson on inputs, owners and freshness is a checklist for exactly this.

The access map. What you have, what is pending, and who is holding it. If production access is stuck, don’t wait. Build on a schema export or a sample the customer’s engineer can pull, and escalate plainly:

“I can keep moving this week on a sample export. Read access to the orders database is what decides whether we demo on real data at the end of the month. Could you ask the platform team to prioritize it?”

Agree the first slice. End week four by agreeing, with the sponsor, one small piece of the problem: one workflow, one user group, real data. Write down what you are not doing yet. If the reality you found differs from what was sold, this is the moment to say so, with the evidence from your record trace.

For a live version of these conversations, our post on discovery call questions has the questions and what each answer changes. To rehearse that first conversation, run the free practice case. In the free practice case, the AI customer holds back what you don’t ask for. It needs a sign-in.

The rest of the first month: ship one small thing

This is where trust is earned. From the customer’s side, a month of meetings reads as a month of cost.

Build a . A thin version that runs end to end on real data, used by a real person, and goes through the customer’s real path to production: their network, their identity system, their deployment process, their review. The path is the risk. The lesson on walking skeletons shows how to cut one.

Cursor describes this rhythm too. As of September 2026, Cursor’s FDE postings say FDEs ship a first version in days, then harden it over weeks with rollout plans and monitoring. Source 9Forward Deployed EngineerPublisherCursor (Ashby job board)Source typecompany job board

A worked example. A fictional logistics customer asks for “AI for dispatch”. The slice we would agree: each morning, a list of shipments at risk of running late, for one depot, built from the real orders table, delivered through the customer’s own scheduler to the depot lead, who marks each flagged shipment right or wrong. It is small, but it touches real data, a real user, the real deployment path and a measurable feedback loop.

Demo in their meeting, not yours. Show the slice in the customer’s own weekly meeting, run by the user, not by you. A depot lead saying “this caught two I would have missed” does more for you than any slide.

Send a written update every week. Keep it short enough to read on a phone:

Goal: cut late deliveries at the pilot depot
Done: risk list live for the depot lead, on real orders
Next: add the carrier delay feed; review misses with ops
Risk: carrier feed access pending with IT (owner: J.)
Need from you: nudge IT on the carrier feed

The last line matters most. Your sponsor wants to help; tell them how.

Months two and three: widen, measure, hand over

Widen only what is used. Add the next depot, the next data source or the next workflow once the first slice has users who would complain if it vanished. Resist the platform. In a November 2025 interview with Altimeter, Jarvis said the biggest mistake OpenAI’s FDE team made that year was generalizing too early. Source 10Colin Jarvis | Head of Forward Deployed Engineering at OpenAI: Trust. Product. Impact.PublisherAltimeter Capital (YouTube)Source typerecorded talk or interview The lesson for one engineer: build for this customer’s workflow before you build the reusable version.

Measure against the sponsor’s number. You wrote their goal down in week one. Now measure the baseline and the change, from their records, and report it in their words. ElevenLabs says its FDEs tie each deployment to outcomes such as resolution speed or containment rate, and stay engaged after go-live. Source 11Meet our Forward Deployed EngineersPublisherElevenLabsSource typecompany blog The deployment is done when the result is proven, not when it ships.

Hand over on purpose. Your first customer should be able to run the thing without you. By the end of the first quarter, aim for:

Ready to hand over

  • A named owner on the customer’s engineering team who has deployed a change on their own
  • Monitoring that tells them it broke before a user does
  • A one-page runbook: how it works, how to restart it, who to call
  • The result, measured against the sponsor’s goal, in writing
  • A short list of what you would do next, and what you would not

Mistakes that cost trust early

  • A month of listening. Nothing in a user’s hands by the end of the month. Fix: agree a slice by week four and ship it.
  • Building the sponsor’s first sentence. You start on what was named in the kickoff, before checking it is the lever. Fix: trace one record end to end before you build.
  • Bad news late. The sponsor hears about the blocked access in the steering meeting. Fix: every risk goes in the weekly update the week you find it.
  • Going around the customer’s engineers. You fix things in their systems without them. Fix: pair with the engineer who will own it, from week one.
  • Promising your product’s roadmap. You say yes to a feature you don’t control. Fix: “I’ll take that to our product team this week and come back with an answer.”
  • Measuring your output. You report tickets closed and features shipped. Fix: report the sponsor’s number, even when it has not moved yet.

Turn the plan into your interview answer

The interview version is a question like “if you joined and were placed with a new customer next week, what would your first month look like?”. A strong answer shows you learn before you build, and still ship. First Round Review, in February 2026, quoted an FDE hiring lead as saying an FDE isn’t somebody who brings a playbook. Source 12So You Want to Hire a Forward Deployed EngineerPublisherFirst Round ReviewSource typenews report So present your plan as a plan, and say where you would change it.

The structure.

  1. Stages, each with an output. Who you meet and what you ask; which data and access you secure; the one small thing you ship.
  2. One concrete example. Pick a customer from your own field and name the slice.
  3. The fallback. What you do when access slips.
  4. The finish line. How you and the sponsor would know it worked.

What it sounds like. An illustration, not a script:

“Before day one, I’d read what was sold and who promised what. In the first two weeks I’d meet the sponsor, get their goal in their words and read it back, and file every access request on day one. In the next two, I’d sit with the people doing the work, trace one real record end to end and agree a first slice with the sponsor: one workflow, one user group, real data. For a claims team, that might be a daily list of simple claims ready to pay, for one region, checked by the team lead. If the record trace shows the data doesn’t support what was sold, I’d change the slice with the sponsor before I’d change the goal. By the end of the month that slice is in a user’s hands, through the customer’s real deployment path, and I demo it in their meeting. If access is stuck, I build on a sample export and ask the sponsor to chase it. I’d know it worked when the user would miss it and the sponsor’s number has a baseline we both trust.”

Prepare the follow-ups. “It’s the end of week two and you still don’t have data access. What do you do?” “What would you have shipped by the end of the month, and who would use it?” Practice them with the first-month question and your first week with a vague problem, both with model answers in Pro.

Our bank files the first-month question under the hiring manager round, and our post on the FDE hiring manager interview covers the rest of that round. If the prompt is an AI project, our post on scoping an AI project for a customer works through cutting a vague request down to a first version.

Learn the job before the first day

Each stretch of the plan maps to a lesson. Start free with The FDE role, decoded, which opens with what forward deployed engineers do. The lessons behind weeks three and four and the first slice (stakeholders, inputs, walking skeletons) come with Pro, which starts with a 7-day free trial. The pricing page has the details.

GlossaryForward deployed engineerA software engineer who builds and ships production systems inside a customer’s problem and environment, accountable to that customer’s outcome.More on Forward deployed engineerGlossaryWalking skeletonThe thinnest end-to-end version of a system that performs one small real function across its main components, built first and then extended.More on Walking skeleton

Questions people ask

What does onboarding look like for a forward deployed engineer?

It varies by employer. Salesforce says it runs a six-week onboarding program for new FDE hires called Ready in Six, with technical training, field work and a capstone project. Okta’s FDE postings say new hires begin with an in-person onboarding experience.Source 1Today's Hottest Role: Forward Deployed EngineerPublisherSalesforce 360 BlogSource typecompany blogSource 2How Forward Deployed Engineers Are Proving AI Makes Tech Jobs More HumanPublisherSalesforce NewsroomSource typecompany blogSource 3Principal Forward Deployed Engineer - Okta for AI AgentsPublisherOkta (Greenhouse)Source typecompany job posting

How much time do new FDEs spend at customer sites, according to press reports?

Engineering Leadership reported, in August 2026, that OpenAI generally tells new FDE joiners to expect around 50% of their time on site, and that this varies by project. Ask your hiring manager what to expect on the team you would join.Source 4Inside OpenAI's Forward Deployed Engineer RolePublisherEngineering Leadership (Gregor Ojstersek)Source typenews report

How do I answer ‘what would you do in your first month?’ in an FDE interview?

Give a plan in stages with an output for each. Say who you would meet and what you would ask, which data and access you would secure, and one small thing you would ship to prove the path to production. End with how you and the customer would know it worked.

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