A forward deployed engineer (FDE) is a software engineer who works inside one customer’s systems to make their employer’s product solve that customer’s problem. Palantir, which popularized the title and calls these engineers “Deltas,” draws the line this way: a traditional software engineer “focuses on creating a single capability that can be used for many customers,” while a forward deployed software engineer focuses on “enabling many capabilities for a single customer.”
The title has since spread far beyond Palantir. OpenAI, Anthropic, Databricks and Scale AI all hire FDEs, and Indeed data shared with Business Insider put FDE postings about 729% higher in April 2026 than a year earlier. As KDnuggets points out, that figure is an index against a small January 2025 base on a single job board. It is not a headcount.
The catch is that the title is used loosely. Two postings with the same name can describe an engineering job and a sales job. Before you apply to any FDE role, answer three questions from the posting itself:
- Who do you build for? One customer only, or one customer and the core product?
- Do you carry a quota? A sales target or commission changes the job.
- How much do you travel? And is that travel required or flexible?
In short:
- What FDEs do: scope a customer’s problem, write production code in the customer’s data and systems, and send what they learn back to the product team.
- Pay: Levels.fyi lists a median of $220,000 in self-reported US total compensation (base, stock and bonus). Posted base ranges for the engineer postings below run from $135,000 to $325,000.
- Who it suits: an engineer who wants to ship real code and also wants to sit with the people who will use it.
What Does a Forward Deployed Engineer Do?
An FDE takes a product that already exists and makes it work for one customer, inside that customer’s environment. The work starts with understanding how the customer operates, moves to building and shipping code against their data, and ends with something running in production. Along the way, the FDE reports back to the core product team on what the product could not yet do.
McKinsey senior partner Martin Harrysson describes the first phase as one that “usually involves sitting next to people performing a task,” so the engineer learns who makes decisions and which data matters. Later work moves through demos and feedback with the client.
Core responsibilities
Postings from the employers that define the role share these duties:
- Discovery and scoping (learning the customer’s problem and deciding what to build). OpenAI’s FDE posting says you “will own discovery, technical scoping, system design, build, and production rollout.”
- Building inside the customer’s systems. Anthropic’s London FDE posting asks you to “work within customer systems to build production applications with Claude models.” Palantir’s New York posting lists “developing custom applications tailored to customer needs.”
- Working with large, messy data. Palantir’s posting lists “wrangling massive-scale data and using AI to accelerate and enhance critical operations.”
- Running what you ship. Palantir describes its FDE practices as “engineering reviews, code reviews, deployability optimization, maintenance and monitoring of production systems.”
- Working with people at every level. Palantir asks for “engaging directly with customer stakeholders, from technical teams to executives.”
- Sending lessons back. Anthropic asks FDEs to “identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.”
What the work looks like day to day
Palantir’s own day-in-the-life account from one of its forward deployed engineers splits the day into three parts. A chunk goes to “designing, writing and testing workflows.” Another goes to configuring the platform: new data models, stability improvements and upgrades. The rest goes to “comms, emails, meetings and stand-ups.”
The same account names the kind of problem that fills a week:
- “How do I build, scale and maintain a terabyte-scale data pipeline feeding a mission-critical operational workflow?”
- “How do I investigate a production software outage, identify a root cause of the issue, deploy a fix, and monitor the stack”
OpenAI’s page about its forward deployed engineering team describes an engagement in five steps:
- Discover: find a workflow where the outcome matters.
- Prototype: build the critical path and put an early version in users’ hands.
- Validate: test it on representative tasks and the difficult exceptions.
- Go live: connect it to the customer’s operating environment, with permissions and monitoring.
- Scale: help the customer’s team extend what works.
Gergely Orosz’s Pragmatic Engineer newsletter reports that OpenAI’s delivery phase happens “onsite at the customer’s site, typically for a few days per week.”
How an FDE differs from nearby roles
The FDE sits between core product engineering, solutions work and consulting.
| Role | Who you build for | Production code on the customer’s systems? | What you leave behind |
|---|---|---|---|
| Forward deployed engineer | One customer at a time, while also contributing to the product your company sells | Yes. FDEs “write code directly on customer infrastructure and use customer tooling” | A working product running in the client’s system |
| Software engineer (core product) | Many customers at once, through one capability | No. The work happens in the company’s own product | A feature that ships to every customer |
| Solutions engineer or solutions architect | A customer evaluating or adopting the product | Rarely. The role is mostly advisory, with first working versions (minimum viable products) and proofs of concept | A design or a proof of concept |
| Consultant | The client | Not the defining part of the job | A recommendation |
The FDE and solutions rows follow how Pragmatic Engineer describes OpenAI’s teams and how the Illinois Institute of Technology (IIT) separates the two roles. McKinsey distinguished partner Holger Hürtgen puts the FDE and developer contrast plainly: an FDE has to “work in the system of a client and develop a product, so you leave behind the product,” while “a developer has predefined the product they will build.” On consultants, Harrysson says a consultant is “more incentivized around a recommendation.”
OpenAI’s own FDE page addresses the services comparison directly. To the question “Do FDEs provide professional services?” it answers “No,” and adds that “FDEs are customer-facing engineers who work alongside professional service partners.”
Not every “FDE” job is the same role
The title now covers several different jobs. Bloomberry analyzed a sample of 1,000 FDE postings (last updated in January 2026) and sorted them into three types:
- The builder FDE (about 60%). The engineering role this guide describes.
- The “Sales Engineer+” (about 30%). In Bloomberry’s words, “a solutions engineer or sales engineer role that got rebranded as ‘FDE’,” with 30 to 40% coding, commission and a quota.
- The internal tools builder (about 10%). A go-to-market engineering or RevOps (revenue operations) role that, Bloomberry says, “definitely shouldn’t be called ‘forward deployed engineer’ at all.”
People who have done the job say the same. Piotr Kraus, a former Palantir FDE, told LeadDev that “the title might have become a little bit frothy” (overhyped), with companies “calling an FDE anybody who’s customer-facing and a little bit technical.”
Even among large employers, the role sits in different places. Valletta Software reports that Databricks’ FDE roles sit in a department the company labels Professional Services Operations, and sums up the split this way: “Palantir treats forward deployment as a way to build software. Databricks treats it as a way to deliver services.”
Three questions to ask of any posting
1. Who do you build for? Look for a line that sends your work back into the product. Anthropic’s posting routes FDE insights back to its Product and Engineering teams. OpenAI measures success partly by “eval-driven feedback that changes product and model roadmaps.” Matthew Mayo, writing for KDnuggets, puts the test well: “An FDE is defined by whether what they learn at the customer changes what the company builds next. Without that feedback loop, the role is consulting.” If a posting describes only client delivery, with no path back to the product, expect services work.
2. Do you carry a quota? Search the posting for “quota,” “commission” and “on-target earnings” (OTE). Bloomberry’s rebranded sales roles carry both a quota and commission. Anthropic’s job board notes that its sales roles show on-target earnings; its Staff FDE posting lists an annual salary instead, even though the role sits on the go-to-market (sales) team.
3. How much do you travel? Palantir, OpenAI, Anthropic, Databricks and Scale AI each state a travel figure on at least one FDE posting, from 20% of your time to a required 50%. Treat that line as part of the offer, next to the pay.
How to Become a Forward Deployed Engineer
Software engineering is the most common starting point FDE postings name, and the move usually means adding customer-facing work to it. A degree helps, but the postings treat experience as the main signal.
Education
Anthropic’s Staff FDE posting lists a minimum of “Bachelor’s degree or an equivalent combination of education, training, and/or experience.” The Bureau of Labor Statistics lists a bachelor’s degree as the typical entry point for software developers, the closest occupation it tracks. The bureau says that degree is typically in computer and information technology or a related field, such as engineering or mathematics. The Palantir engineer in its day-in-the-life account joined with a hardware engineering background and had “never worked with many common software tools like Spark.”
What postings ask for
Some experience lines are requirements and some are preferences. Read which is which before you rule yourself out.
| Employer and posting | Experience line | How it is stated |
|---|---|---|
| Palantir, Forward Deployed Software Engineer | ”1+ years of relevant, post-college work experience” | Requirement |
| Anthropic, FDE (London) | “4+ years of experience in a technical, customer facing role,” or as a software engineer with consulting or product experience; former technical founders encouraged | ”Good fit” criteria |
| OpenAI, FDE | ”5+ years of engineering or technical deployment experience that includes customer-facing work" | "You might thrive in this role if you” |
| Scale AI, FDSE, Public Sector | ”5+ years of software engineering experience,” plus an active TS/SCI clearance (a US government security clearance) or eligibility to obtain one | Requirement |
| Databricks, Senior FDE | ”6+ years experience in data engineering, data platforms & analytics, or software engineering" | "What we look for” |
Palantir’s one-year requirement is the most useful signal if you are earlier in your career. In Bloomberry’s sample of postings that state experience, only 12% were entry-level (0 to 2 years). Sixty percent asked for 3 to 5 years, 20% for 6 to 8, and 8% for 9 or more.
Common routes in
Bloomberry also counted the prior roles FDE postings name. Software engineering (backend or full-stack) led at 45%, followed by solutions engineering or architecture at 22%, data engineering or data science at 15%, technical consulting at 10% and founders at 8%. Each route has a different gap to close:
- From software engineering: you have the code. Add customer exposure: support rotations, integration work, on-call for a customer-facing system, or time with users during discovery.
- From solutions or sales engineering: you have the customer skills. Show production code you wrote and ran, not only demos. Bloomberry is blunt on both sides: engineers who dislike working with people should stay in core engineering, and sales engineers who cannot code will not make it.
- From data engineering: data platform depth matters a great deal for roles like Databricks’, which asks for “deep experience with distributed computing with Apache Spark.”
- From consulting: show where you built and shipped software, not where you advised.
- From founding a company: you have already scoped, built and sold. Lead with what you shipped.
- Early career: search for associate, level-one and intern titles. The entry row of the career ladder below lists live examples.
Decide which version of the job you want
Answer the three questions for yourself before you read a single posting. A posting that fails on any of your answers is a different job, whatever its title says.
Frame your resume for an FDE posting
Tailoring a resume means choosing and reframing your real experience around one job’s priorities. It does not mean inventing skills, results or job titles. Follow these steps for each posting:
- Pull the terms from the posting. The best keywords come from the job description for the role you want, not from a general list. FDE postings use phrases like “technical scoping,” “production rollout” and “customer stakeholders.”
- Check what you have not shown yet. Use Teal’s Job Description Match to compare your resume with a posting and see which of its keywords your resume does not yet include. Then decide which of those terms honestly fit your background.
- Rewrite bullets around the customer and the code. Name the customer, what you built and the result.
- Leave out what you did not do. If a posting asks for something you do not have, do not add it. Show your closest relevant experience and let the employer decide whether the gap is acceptable.
- Track each application. Use Teal’s Job Tracker to keep every FDE application in one place by stage, so postings that share a title but describe different jobs stay separate.
Here is what step 3 looks like in practice:
- Weaker: “Worked with clients on integrations.”
- Stronger: “Built and shipped a data integration between our platform and a client’s scheduling system after weekly sessions with their operations team to define scope.”
Why it works: the stronger bullet shows the three things FDE postings look for: you scoped the problem with the customer, you wrote the code, and it shipped. If you do not remember an exact metric, do not invent one. A concrete action and outcome are still stronger than a made-up figure.
Forward Deployed Engineer Skills
FDE postings ask for two kinds of skills at once: engineering skills strong enough to ship production code in a system you did not design, and customer skills strong enough to turn a vague request into a scoped project.
| Skill | How to show it |
|---|---|
| Discovery and scoping | A project where you defined the problem with users before you built |
| Production-grade coding | Code you wrote, reviewed and shipped to real users |
| Working in unfamiliar systems | A project in a codebase or stack that was new to you |
| Large-scale data work | Pipelines you built or maintained, and what they fed |
| Operating what you ship | Incidents you diagnosed and fixed, or monitoring you set up |
| LLM application work | A system built on a language model that real users relied on |
| Communicating with leaders | Times you presented tradeoffs or results to decision makers |
| Feeding lessons back | A fix for one customer that you turned into something reusable |
Technical skills
The technical bar is the same as for a strong product engineer, with more breadth. OpenAI’s FDE posting looks for engineers who “write and review production-grade code across frontend and backend,” and AI companies add experience with language models: OpenAI looks for engineers who “have built or deployed systems powered by LLMs or generative models.” Anthropic’s Staff FDE posting draws a useful line here. It says you do not need to have shipped agents to production, but you do need “deep experience building and operating production systems.”
Customer skills
The customer side is about turning ambiguity into a plan: asking the right questions in discovery, explaining tradeoffs to non-engineers, and writing clearly enough that the customer’s team can keep running the system. Anthropic’s Staff posting says “Customers bring you in to lead, not only to implement,” which is the senior version of the same skill.
Show the behavior, not the label
“Strong communicator” or “customer-focused” on a resume tells a hiring manager very little. Describe the meeting where you scoped a project with a customer’s team, the outage you traced to a root cause, or the pattern you turned into a reusable component. What matters is what you did, how you did it, and why it is relevant to the posting.
Forward Deployed Engineer Tools & Software
FDE tools depend heavily on the employer, since much of the job is configuring that employer’s own platform. These are the tools and languages the postings and employer pages name.
| Category | Tools named | Where they come from |
|---|---|---|
| Programming languages | Python, Java, C++, TypeScript/JavaScript | Palantir’s FDSE posting |
| Programming languages | Python, JavaScript “or comparable stacks” | OpenAI’s FDE posting |
| Programming languages | Python, Scala, JavaScript/TypeScript | Databricks’ Senior FDE posting |
| Distributed data processing | Apache Spark | Databricks’ Senior FDE posting |
| Employer platforms | Palantir Foundry and Gotham | Palantir’s account of its FDE role |
| Language models | Claude models | Anthropic’s FDE posting |
| Agent building blocks | MCP servers, sub-agents, agent skills | Anthropic’s FDE posting |
| Model evaluation | Evaluation frameworks; eval-driven feedback | Anthropic’s and OpenAI’s FDE postings |
Learning the customer’s tools
Whatever tools you list on a resume, expect new ones on the job: FDEs work in each customer’s own tooling, so the stack changes with each engagement. Palantir’s FDE gives the advice plainly: “learn to work with systems, architectures, and codebases you are not familiar with.” Treat learning a new environment quickly as a skill in its own right.
Forward Deployed Engineer Job Titles & Career Progression
Search for every variant of the title, not only the most common one.
Title variants to search
- Forward Deployed Engineer (FDE): the most common form.
- Forward Deployed Software Engineer (FDSE): Palantir’s and OpenAI’s form; OpenAI posts both FDE and FDSE roles.
- Delta: Palantir’s name for its FDSEs.
- Specialized FDE titles: Together AI’s Forward Deployed Engineer, Post-Training; Databricks’ AI Engineer – FDE; OpenAI’s Forward Deployed Security Engineer; Scale AI’s Frontier Agents Engineer (Forward Deployed Engineering).
- Adjacent titles: IIT lists agent engineer, implementation engineer and technical delivery engineer as related titles.
Career ladder
| Level | Titles in live postings | What changes |
|---|---|---|
| Entry | Forward Deployed Engineer Intern (Lorikeet), Associate Forward Deployed Engineer (Databricks), Forward Deployed Engineer I (Sayari) | Titles to search first if you are early in your career. |
| Mid-level | Forward Deployed Engineer, Forward Deployed Software Engineer | You own deployments from discovery to production rollout. |
| Senior | Senior Forward Deployed Engineer (Databricks), Founding Forward Deployed Engineer (Clera) | You lead customer technical projects and own the architecture. |
| Staff | Staff Forward Deployed Engineer (Anthropic) | You lead customer engagements and represent the company to VPs and C-level leaders. |
| Lead and management | Deployment Lead, FDE (OpenAI); Manager, FDE (OpenAI, Anthropic, Databricks) | You lead and grow a team of FDEs and own their delivery outcomes. |
Where the role leads
There is no reliable count of where FDEs go next, but you can see where the skills overlap. Building in customer systems overlaps with solutions architecture. Running a team of FDEs is engineering management. Turning customer lessons into product changes is close to product work. And the combination of scoping, building and selling to a customer is the founder skill set.
For resume models in nearby roles, see Teal’s software engineer resume examples for the engineering side and solutions architect resume examples for the customer-facing design side.
Forward Deployed Engineer Salary & Work-Life Balance
Posted US base ranges for the engineer postings in the table below run from $135,000 to $325,000. Level and location both move the number, and travel asks vary just as widely, so weigh them together.
Posted base pay and travel by level
All figures are employer-posted base salary ranges, read October 2026, without stock or bonuses.
| Employer and posting | Level signal | Location | Posted base range | Posted travel |
|---|---|---|---|---|
| Palantir, Forward Deployed Software Engineer | 1+ years required | New York | $135,000–$200,000 | Up to 25%, “flexible based on personal preferences” |
| Scale AI, Frontier Agents Engineer (Forward Deployed Engineering) | Base level of a three-level ladder | San Francisco | $180,000–$225,000 | Not stated |
| OpenAI, Forward Deployed Engineer | 5+ years (“might thrive”) | San Francisco; same band in Seattle and New York roles | $185,000–$300,000, plus equity | Up to 50%, required; 3 office days a week |
| OpenAI, Forward Deployed Software Engineer | 7+ years (“you’ll thrive”) | San Francisco (New York and Seattle: $153,000–$325,000) | $185,000–$325,000, plus equity | Up to 50%, required; 3 office days a week |
| Scale AI, FDSE, Public Sector | 5+ years and a TS/SCI clearance, required | Washington DC, Texas, Colorado and Hawaii pay tier (St. Louis: $138,000–$219,420) | $165,600–$263,304 | 25%, up to 50%, and/or relocation |
| Databricks, Senior Forward Deployed Engineer | 6+ years (“what we look for”) | San Francisco; same band in Austin, Chicago, New York and remote | $182,000–$250,208 | 20% |
| Scale AI, Senior Frontier Agents Engineer | Senior | San Francisco | $216,000–$270,000 | Not stated |
| Scale AI, Staff Frontier Agents Engineer | Staff | San Francisco | $252,000–$315,000 | Not stated |
| Anthropic, Staff Forward Deployed Engineer | Staff | New York, San Francisco or Seattle | $280,000–$320,000 | 25% |
The lowest starting figure belongs to Palantir’s posting, which asks for the least experience, and the highest starting figures belong to staff roles. Scale AI’s own ladder shows the same climb inside one company. Location matters too: Scale AI’s public-sector range changes by city tier, and its posting says the range “may be inclusive of several career levels.” Base is also only part of pay. Palantir says total compensation may include restricted stock units and a sign-on bonus, OpenAI’s postings note that they offer equity, and Databricks mentions an annual performance bonus and equity.
OpenAI’s Manager, FDE posting in New York lists $302,000–$385,000, and its Deployment Lead, FDE posting lists $230,000–$294,000. Databricks’ Manager, FDE posting lists $211,800–$291,300.
Self-reported total compensation
Levels.fyi collects self-reported US pay, including base, stock and bonus. It lists a median of $220,000 in total compensation for the FDE title, with $171,000 at the 25th percentile, $292,000 at the 75th and $354,000 at the 90th. Do not set these against the posted base ranges above: one is self-reported total pay, the other is posted base.
How FDE pay compares with software developers
The Bureau of Labor Statistics has no category for forward deployed engineers. The closest is software developers, whose median annual wage was $135,980 in May 2025. The bottom tenth earned less than $82,460 and the top tenth more than $214,670. The lowest posted FDE base in the table above, Palantir’s $135,000, sits just under that median, and every band’s ceiling except Palantir’s sits above the $214,670 top-tenth wage. The bureau projects the combined group of software developers, quality assurance analysts and testers to grow 10% from 2025 to 2035, much faster than the average.
Travel and office time
Read the travel column for three things:
- Required or flexible. OpenAI states its travel as required, alongside a hybrid model of three office days a week. Palantir calls its travel flexible based on personal preference.
- Frequency versus share of time. Databricks’ AI Engineer – FDE posting asks for travel “once every 4-8 weeks,” a pattern, not a percentage.
- Relocation. Scale AI’s public-sector role says to expect travel and/or relocation to Washington DC or St. Louis.
Work-life balance: the tradeoffs
Wikipedia’s entry, citing The Wall Street Journal, notes that some engineers find the job undesirable because of the travel and the pressure to solve customer problems in a short time. Palantir’s own FDE named the hardest part simply: “Directing focus is challenging at times.” When several customer needs, a production issue and a product request arrive at once, you decide what comes first.
A quota changes your month too. If a posting lists on-target earnings, ask how much of that depends on sales.
Forward Deployed Engineer Professional Development Goals
Ship one customer deployment end to end
If you have only worked on parts of a deployment, aim to own one project from discovery to production rollout. Why: a single end-to-end deployment is the clearest proof you can offer an FDE hiring manager.
Learn one data platform in depth
Pick the platform closest to the roles you want, such as Spark for Databricks roles or Foundry for Palantir’s, and go beyond tutorials to running real workloads. Why: depth on one platform makes it easier to learn the next customer’s stack.
Turn one customer fix into something reusable
Find a fix you built for one customer or team and turn it into a component, template or guide others can use. Why: this is the feedback loop that separates FDE work from consulting, and it gives you a concrete story for interviews.
Own a production system, including when it breaks
Volunteer for on-call or incident follow-up on a system real users depend on. Why: customers judge FDEs by whether the system keeps running after the demo.
Present to a customer’s leadership
Senior FDE roles put you in front of customer executives. Look for chances to present a tradeoff or a result to a senior audience, inside your company if not with a customer. Why: at senior levels, the ability to lead a customer conversation matters as much as the code.
Forward Deployed Engineer LinkedIn Profile Tips
Use the terms FDE postings use, but only where they honestly describe your work.
- Headline: name what you build and who for. For example: “Software engineer building data integrations and AI applications with customer teams.” If you have held an FDE title, use it as written. Do not rename a past role to match a posting.
- About section: say what kind of customer work you have done, whether you want your work to reach a core product, and how much travel you are open to.
- Experience bullets: write them as projects. Name the customer type, the problem, your build and its outcome.
- Skills: list the languages and platforms the postings name and you have actually used, such as Python, TypeScript, Spark or a specific employer platform.
Forward Deployed Engineer Certifications
No certification is standard for the role, and most FDE postings do not ask for one. Searches for the role surface paid “FDE certification” programs, but the Palantir, OpenAI and Anthropic FDE postings list no certification at all. Two exceptions are worth knowing. Databricks lists “Databricks Certification” in what it looks for in a Senior FDE, which makes sense for a role built on its own platform. Scale AI’s public-sector role requires an active TS/SCI clearance or eligibility to obtain one, which is a government clearance, not a certification.
If the roles you want lean on a cloud or data platform, a vendor certification can support your experience, but it does not replace shipped work. For the architecture and cloud certifications that overlap most with FDE work, see Teal’s guide to solutions architect certifications.
Forward Deployed Engineer Interview Prep
FDE interviews test both halves of the job: whether you can write production code, and whether you can work through an ambiguous customer problem. Processes differ by company, so expect some mix of these:
- Coding. Expect a coding exercise in the languages the posting names. Palantir’s asks for a “strong coder.”
- System design and scoping. Practice taking a vague business request, asking clarifying questions, and proposing a design with clear tradeoffs.
- Customer scenarios. Be ready to explain how you would handle a customer who wants something the product cannot do, or a production issue during a live engagement.
- Behavioral questions. Prepare specific stories about working with customers or users, learning an unfamiliar system quickly, and turning one fix into something reusable.
For practice questions, use two neighboring guides. The software engineer interview questions cover the coding and design side, and the solutions engineer interview questions cover the customer-facing side.
Related Career Paths
Each of these careers shares part of the FDE job.
Software Engineer
Software engineers build the core product that many customers use. They write production code, like FDEs, but usually do not work inside a single customer’s systems. This is the most common starting point for FDEs.
Solutions Engineer
Solutions engineers help customers evaluate and adopt a product. IIT describes the role as more advisory than an FDE’s, one that rarely writes production code on the customer’s systems.
Solutions Architect
Solutions architects design how a product fits into a customer’s environment. At OpenAI, Pragmatic Engineer reports, they mostly build minimum viable products or proofs of concept, while FDEs write code on customer infrastructure.
Sales Engineer
Sales engineers support the sale of a technical product, and theirs is the job behind many rebranded “FDE” postings. If you like customer work and technical demos more than shipping production code, this path may suit you better.
Artificial Intelligence Engineer
Artificial intelligence engineers build systems on models and data. OpenAI’s and Anthropic’s FDE postings ask for the same language model experience, but an AI engineer is not necessarily embedded with a customer.
Technical Account Manager
Technical account managers look after customer relationships after the sale, with a technical focus. They share the FDE’s customer focus, but the role centers on the account rather than on writing and shipping code.
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