fde.today

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What is Forward Deployed Engineering? Forward Deployed Engineering (FDE) is a role at the intersection of software engineering, consulting, and customer success. FDEs work directly with clients to understand their problems, build custom solutions, and deploy technology in real-world environments. Key Responsibilities Client-facing technical work - Embedded with the customer, not coding in isolation Rapid prototyping - Building solutions quickly to prove value and iterate Full-stack problem solving - From data pipelines to frontend dashboards Technical translation - Bridging what the client needs and what engineering builds Deployment and integration - Getting software running in messy production environments Who hires FDEs? The role was popularized by Palantir Technologies but has expanded to Databricks, Scale AI, Anduril, and many startups. FDE vs Traditional SWE Location: On-site with clients vs company office Scope: End-to-end solutions vs specific features Skills: Breadth over depth vs depth over breadth Feedback: Immediate from users vs through PMs Share your thoughts below - what drew you to FDE?

As an FDE, you need comfort with a wide range of tools: Languages Python - The universal glue language SQL - You will write more SQL than you expect JavaScript/TypeScript - Frontend work and quick dashboards Bash - Deployment scripts and automation Data and Infrastructure Docker - Containerize everything Terraform/Pulumi - Infrastructure as code Airflow/Prefect - Pipeline orchestration Spark/Databricks - Large-scale data processing Client-Facing Jupyter Notebooks - Showing work to clients Streamlit/Gradio - Quick demo apps What is in YOUR toolkit? What tools do you wish existed?

Scope creep is probably the number one challenge FDEs face. Common Scenarios Client asks for one more feature that turns into a month of work Stakeholders have conflicting priorities The original project scope keeps expanding Strategies That Work Document everything - Written scope agreements protect everyone Say yes, then prioritize - We can do that, let us figure out where it fits Make trade-offs visible - If we add X, we push Y. Which matters more? Regular check-ins with your manager - They can push back at a higher level Time-box exploration - Let me spend 2 hours looking into feasibility What are your strategies for managing scope?

Breaking into FDE requires a broad skill set. Here is what works: Technical Foundation Strong Python, SQL, and one systems language Experience with data pipelines and APIs Comfort with cloud platforms (AWS, GCP, Azure) Ability to pick up new technologies quickly Soft Skills Communication - Explain technical concepts clearly Empathy - Understand client problems first Adaptability - Every environment is different Entry Points New grad programs at Palantir, Databricks Transitioning from SWE after 1-3 years Solutions engineering roles What was your path into FDE?

What do you actually do day-to-day as an FDE? The answer varies wildly. Example Week Monday: Client standup and deep work Tuesday-Wednesday: Building, testing, deploying Thursday: Demo with client stakeholders Friday: Wrap up and retrospective What does YOUR week look like?

Welcome to the FDE Community! This is a space for Forward Deployed Engineers, aspiring FDEs, and anyone interested. Guidelines Be respectful - No personal attacks or harassment Share knowledge freely - Help each other grow No NDA violations - Do not share proprietary client information Keep it professional - Constructive discussions only No spam - Job postings go in the Job Board category Use the right category - Keep discussions organized Get Started Introduce yourself in the Off-Topic category Browse categories and join discussions Ask questions - no question is too basic Share your experiences Let us build this community together!

FDE interviews differ from standard SWE interviews. The process tests both technical ability and client-facing skills. Common Components Coding round - More practical and applied than standard leetcode System design - How would you architect a solution for a client problem? Case study - Given a client scenario, how would you approach it? Behavioral - Tell me about working with a difficult stakeholder Presentation - Some companies ask you to present a technical topic Tips Focus on clarity of communication as much as correctness Show that you think about the end user, not just the code Demonstrate resourcefulness - FDEs figure things out with incomplete information Have you interviewed for an FDE role? Share your experience to help others prepare!

Let us build a community-maintained list of companies that hire Forward Deployed Engineers. Established FDE Programs Palantir - The originator of the FDE title (FDSE roles) Databricks - Field Engineering and Solutions Architect roles Scale AI - Forward Deployed Engineers for AI/ML deployments Anduril - Defense tech with embedded engineering roles Similar Roles, Different Titles Stripe - Solutions Architect Datadog - Technical Solutions Engineer Snowflake - Sales Engineer / Solutions Architect MongoDB - Consulting Engineers HashiCorp - Solutions Engineers Startups Many Series A-C startups hire FDE-type roles as their first customer-facing engineers. Know a company that should be on this list? Comment below with the company name, role title, and a brief description!

Welcome to fde.today! Drop a comment below and tell us: Your name (or handle) Your current role - FDE, aspiring FDE, hiring manager, or just curious? Your background - CS degree? Bootcamp? Self-taught? What brought you here? One hot take about Forward Deployed Engineering Looking forward to meeting everyone!

Forward Deployed Engineer Salary Guide 2026 Compensation is one of the most searched topics for FDEs. Here is a comprehensive breakdown. Full-Time Salary Ranges (US) Level Base Salary Total Comp Junior FDE (0-2 years) $120,000 - $160,000 $140,000 - $200,000 Mid-Level FDE (2-5 years) $160,000 - $220,000 $200,000 - $320,000 Senior FDE (5+ years) $200,000 - $280,000 $300,000 - $450,000+ Company-Specific Comp Palantir - Average total comp around $238,000, ranging $205,000 to $486,000 Databricks - Field Engineering roles $180,000 - $350,000 total comp Scale AI - FDE roles $150,000 - $300,000+ AI Startups (OpenAI, Anthropic, Cohere) - $200,000 - $400,000+ with equity Contract and Freelance Rates Junior: $90 - $150/hour Mid-Level: $150 - $225/hour Senior/Specialist: $225 - $300+/hour FDE vs SWE Compensation FDE roles often pay 10-20% more than equivalent SWE roles because of client-facing pressure, broader skill set, travel requirements, and smaller talent pool. Negotiation Tips Know your leverage - FDEs directly impact revenue Factor in travel - 50%+ travel warrants a premium Equity matters - FDE equity is significant at startups Competing offers - FDE skills transfer easily across companies What is your compensation experience as an FDE? Share below.

The Forward Deployed AI Engineer Job postings for AI-focused FDE roles increased 800-1000% in 2025. Why AI Needs FDEs Every customer data is different - Models need customization per environment Integration is complex - RAG pipelines, vector databases, fine-tuning Trust requires hand-holding - Enterprises need proof AI works with their data The last mile is hardest - Demo to production requires deep FDE work Who Is Hiring AI FDEs? OpenAI - ChatGPT Enterprise and API integrations Anthropic - Claude enterprise deployments Cohere - Enterprise NLP solutions Databricks - ML platform deployments Scale AI - Data labeling and AI infrastructure ElevenLabs - Voice AI deployments Palantir AIP - AI Platform forward deployment Skills You Need RAG architecture and vector databases Fine-tuning and prompt engineering Agentic workflows and evaluation Data pipelines for AI systems Compensation Full-time: $180,000 - $450,000+ total comp Contract: $200 - $400+/hour for senior AI FDEs Are you working as an AI FDE? Share below.

Role Comparisons FDE vs Software Engineer Dimension FDE SWE Where you work Client site Company office What you build Custom solutions per client Product features for all Skills Breadth Depth Travel 25-75% Minimal Comp 10-20% premium Standard rates Advancement 3-4 years to senior 5-7 years to senior FDE vs Solutions Engineer Dimension FDE SE When involved Post-sale deployment Pre-sale evaluation Code Production code daily Demos and POCs Quota No sales quota Tied to sales FDE vs Technical Consultant Dimension FDE Consultant Product Company product Technology agnostic Employment Full-time tech company Consulting firm Code ownership Contributes to core product Custom solutions Which Is Right for You? FDE: Variety, client interaction, immediate impact SWE: Deep technical focus, system ownership SE: Sales process, shorter engagements Consulting: Maximum variety, project-based Which role do you identify with? Share your experience.

Palantir FDSE Interview Stages Online Assessment - Coding, 45-60 min, practical twist Technical Phone - System design or coding with current FDSE Super Day (3-5 rounds) Coding x2 - Applied algorithms System Design - Client use case Decomposition - Unique to Palantir Behavioral - Leadership and client scenarios The Decomposition Round You get a vague real-world problem. Ask clarifying questions, break into sub-problems, prioritize, propose approach, discuss trade-offs. Example: A city wants to reduce 911 response times. How would you approach this? Tips Practice explaining thought process out loud Study graph algorithms Read about Gotham, Foundry, AIP Prepare examples of working with non-technical stakeholders Show genuine curiosity about hard problems Have you interviewed at Palantir? Share your experience.

Databricks Field Engineering Process: Recruiter screen, technical screen (SQL/Python), system design (lakehouse), customer scenario role-play, behavioral. Focus: Spark, SQL fluency, Delta Lake, simplifying complex concepts. Tips: Learn Unity Catalog, Delta Lake, MLflow. Practice explaining data concepts to non-technical audiences. Scale AI FDE Process: Recruiter screen, coding (Python), system design (ML workflow), case study, cross-functional meeting simulation. Focus: Python, ML/AI workflows, data quality, client communication. Tips: Understand AI data supply chain. Read about Scale Data Engine. Show context-switching ability. Have you interviewed at either? Share details below.

Remote FDE in 2026 Current Landscape Fully remote: ~20% of postings Hybrid (2-3 days on-site): ~50% the norm Fully on-site: ~30% (defense, healthcare, government) When Remote Works Established client relationships after initial ramp Technical integration work (APIs, pipelines) Multiple small clients simultaneously AI/ML deployments When It Does Not Initial discovery phase Stakeholder trust building Sensitive/classified environments Complex physical infrastructure Tips for Remote FDEs Over-communicate - daily async updates Front-load on-site time - first 2-4 weeks Document everything Build relationships intentionally Travel for milestones Comp Differences 5-15% reduction at some companies No difference at remote-first companies Are you a remote FDE? Share your setup below.

How to Hire FDEs What to Look For Must-haves: Production-quality code under pressure Clear communication to non-technical people Comfortable with ambiguity Self-directed Curious about client problems Red flags: Only wants greenfield projects Cannot explain work without jargon Needs detailed specs before starting Uncomfortable with client interaction Interview Design Practical coding screen System design with real client scenario Client simulation role-play Ambiguous problem decomposition References focused on client interaction Compensation Pay 10-20% above equivalent SWE Include travel stipend Equity is important Retention FDE burnout is the biggest risk: Rotate clients every 6-12 months Give time for internal projects Create clear career progression Listen to product feedback What has worked for your team? Share below.

The FDE Career Ladder Junior FDE (0-2 years) - Shadow seniors, own small features. Comp: $120K-$200K Mid-Level FDE (2-4 years) - Own full workstreams, lead design, mentor. Comp: $180K-$320K Senior FDE (4-7 years) - Most complex engagements, define playbooks, drive strategy. Comp: $250K-$450K+ Lead / Manager (6-10 years) - Manage team, own region/vertical. Comp: $300K-$500K+ Field CTO / VP (8+ years) - Strategic partner, define methodology. Comp: $400K-$700K+ Alternative Paths Product Management Founding a Company Sales Engineering Leadership Architecture roles in SWE Speed Advantage FDEs advance junior to senior in 3-4 years vs 5-7 in SWE. Avoiding the Plateau Document your revenue impact Build internal visibility Develop a specialization Mentor others Have career conversations early Where are you on the ladder? Share below.

The FDE Demo Toolkit Frontend Streamlit - Data-heavy demos, pure Python Gradio - AI/ML model demos, minutes to build Retool - Internal tools and CRUD apps Next.js + shadcn/ui - Production-quality demos Backend FastAPI - Quick APIs with auto-docs DuckDB - Query CSV/Parquet/JSON with SQL instantly Jupyter - Exploratory analysis with clients AI/ML Stack LangChain / LlamaIndex for RAG ChromaDB / pgvector for vectors Claude / GPT API as backbone Streamlit or Gradio as UI Demo Mindset Solve their problem, not showcase your tech Build in 2 days, present on day 3 Leave rough edges - feels more real Make it interactive Always end with path to production What is your go-to demo stack? Share below.

Communication Determines FDE Success Weekly Client Update (Every Friday) This week: 3-5 bullets of accomplishments Blockers: What you need from the client Next week: Planned work Decisions needed: Choices they must make Keep it under 10 lines. Client Standups 15 minutes max Lead with outcomes not activities Surface blockers early End with owners and deadlines Escalation Framework Level 1: I want to flag X might delay Y. I have a plan. Level 2: We hit an issue. Two options. I recommend A. Level 3: X is down. Here is what I know and need. Saying No We can do that. Let me scope where it fits in the timeline. Great idea. Should we swap it for X or add to next phase? Tech to Business Translation Bad: Migrate REST to GraphQL to reduce over-fetching Good: Dashboard loads 3x faster with a backend change. One week. What communication strategies work for you?