> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Forward Deployed Engineer Canonical URL: https://nextmove.md/fde/jobs/ebeaed3047349cbb Materialize posts a FDE role to build what the customer runs in New York, NY, at $180,000–$225,000 base, above the senior FDE median of $190,000 across 1,864 postings with pay. Materialize's first Forward Deployed Engineer owns end-to-end technical delivery for strategic enterprise customers, from architecture and data pipelines through production rollout and post-launch hardening. Read from the employer’s posting on November 8, 2026. - [Materialize](https://nextmove.md/fde/companies/materialize) Posted Sep 30, 2026 by Materialize · open on Ashby as of Nov 8, 2026 **$180,000–$225,000** + equity New York, NY Hybrid, 3 days a week in office Full-time Materialize's first Forward Deployed Engineer owns end-to-end technical delivery for strategic enterprise customers, from architecture and data pipelines through production rollout and post-launch hardening. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Febeaed3047349cbb&placement=top) - [View posting at Materialize](https://jobs.ashbyhq.com/materialize/b2fd4430-633f-41ec-a7a7-df1382bdcd04/application) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay $180K–$225K Above the median Midpoint $203K · median $190K This job $180K to $225K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds what the customer runs Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept (not covered) 3. Implementation 4. Operations Travel **Up to 50%** - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Senior - **Role**: Individual contributor ### What they ask for Experience - **5+ years** engineering experience - **1+ years** post-sales, customer-facing experience Background - **Software engineering** - **Solutions and customer engineering** ### Do you meet what the posting states? The posting asks for 1+ years. How many do you have? The posting reads as a senior role. What level are you at now? The job is in New York, NY. Could you work there? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: New York, NY - **Work arrangement**: Hybrid, 3 days a week in office - **Remote work restrictions**: NYC; minimum 3 days per week in person at the Astor Place headquarters - **Employment type**: Full-time - **Travel**: Up to 50% - **Pay**: ## More like this [Sylvan Labs](https://nextmove.md/fde/companies/sylvan-labs) ### [Founding Forward Deployed Engineer](https://nextmove.md/fde/jobs/085ae49f7e30a27e) New York, NY On-site 1mo ago $180,000–$250,000 [Joyful Health](https://nextmove.md/fde/companies/joyful-health) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/22795913cd1c6605) New York, NY Hybrid New · 4d ago $150,000–$275,000 [Alloy](https://nextmove.md/fde/companies/alloy) ### [Founding Forward Deployed Engineer](https://nextmove.md/fde/jobs/0965e7891fc2216d) New York, NY Hybrid 4mo ago $141,000–$250,000 ## The job description from Materialize Posted by Materialize on Sep 30, 2026 ### Who We Are: Materialize is the live context layer for AI agents and applications. Materialize lets engineering teams use SQL to transform siloed operational data into up-to-the-second, trustworthy views into any element of their business — delivering fresh context to AI agents, interactive search pipelines, and enabling low-latency, event-driven architectures for microservices and core business processes. Materialize is trusted by Notion, Bilt Rewards, and Crane Worldwide Logistics to solve their most pressing operational data challenges while building a live data foundation for their AI transformation. Our team spans the US (NYC headquarters), Canada, and EMEA. ### Investors: Kleiner Perkins, Redpoint Ventures and Lightspeed Venture Partners. ### Role Overview As Materialize's first Forward Deployed Engineer, you embed with a small number of our most strategic customers and help them build end-to-end solutions with Materialize at the core. You'll join our Go-To-Market organization, partnering with Account Executives and Field Engineering to take engineering-led organizations, customers like Notion, General Mills, Bilt Rewards, and Crane Worldwide Logistics, from signed contract to live deployment, and then to the use case after that. You own delivery end to end: architecture, pipelines, integrations, and production rollout. In your first year, you'll write the SQL and integration code that gets customers into production and beyond, and build the reference architectures and delivery patterns the FDE team will run on. You'll have a direct line to Product and Engineering, and what you learn in customer environments will help shape the roadmap. This role is for someone who is comfortable owning an ambiguous, high-stakes problem inside someone else's codebase, and who wants to define a function rather than inherit one. This role is based in our NYC office near Astor Place, with a minimum of 3 days per week in person. Travel 30–50% during active customer engagements, and less between them. You'll be onsite when it matters most: kickoffs, critical launches, and production cutovers. ### Responsibilities - Own end-to-end technical delivery for a small number of flagship accounts, from architecture design through production cutover and beyond - Build the connectors, SQL-based views, and integrations that put Materialize into production — Postgres and MySQL CDC, Kafka, Kinesis, dbt, BI tools, and customer applications - Plan and run migrations from existing systems, including dual writes and controlled cutover - Design Materialize architectures for real-time use cases: fraud detection, dynamic pricing, operational dashboards, context for AI agents, and event-driven pipelines - Write and debug complex SQL and streaming pipelines directly in customer environments, alongside their engineering teams - Support customers through implementation, production hardening, and critical launches - Build the reusable layer (reference architectures, internal tooling, and implementation patterns) that makes each deployment faster than the last - Translate what you see in the field into clear product and engineering feedback: friction points, missing features, and the workarounds customers keep reaching for - Act as a trusted technical advisor on architecture, scaling, and best practices for real-time data - Travel roughly 20–25% for onsite customer engagements and key industry events ### What We’re Looking For - 5+ years of engineering experience, including 1+ years in a post-sales, customer-facing role (e.g., forward deployed engineering, solutions engineering, solutions architecture, or technical consulting) with a track record of owning complex enterprise implementations - Strong SQL and a solid understanding of modern data architectures: relational databases, event streaming, and change data capture - Hands-on experience with streaming or event-driven systems (Kafka, Debezium/CDC, Kinesis, Flink, Spark Streaming, or similar) - You write code. Proficiency in at least one of Python, Java, or TypeScript for building integrations and tooling - Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerized environments - You've taken systems from prototype to production in someone else's environment, including the unglamorous parts: performance tuning, failure modes, monitoring, and handoff - Comfortable owning ambiguous, high-stakes technical problems with incomplete information, and moving without a large support structure - Excellent written and verbal communication: you can translate deeply technical trade-offs for both engineers and executives, and you leave behind designs and runbooks that outlive the engagement - Experience with another streaming SQL engine or a modern data warehouse (Snowflake, BigQuery, Redshift) is a plus - Production experience with AI agents or LLM applications, especially the context layer that feeds them fresh, trustworthy data, is a plus - Experience at a fast-growing startup, or as an early member of an FDE or professional services function, is a plus **Location:** NYC (hybrid, minimum 3 days/week at our Astor Place HQ) **Salary**: $180,000 - $225,000 USD/year plus additional variable bonus and equity in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience. *The salary range provided in this job description should not be considered a guarantee or commitment. The actual compensation offered may vary based on individual qualifications objectively assessed during the application and interview process, including but not limited to the candidate’s:* - *Qualifications and relevant work experience* - *Educational background and credentials* - *Relevant skills and certifications* - *Geographic location* - *Market demands* *Materialize reserves the right to adjust the salary range based on the candidate's specific circumstances and the overall compensation package.* *We understand it takes a diverse team of highly intelligent, passionate, curious, and creative people to develop the exceptional product we are building. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity employer.* [View posting at Materialize](https://jobs.ashbyhq.com/materialize/b2fd4430-633f-41ec-a7a7-df1382bdcd04/application) ## About Materialize Operational SQL streaming database that turns siloed data into always-fresh views for AI agents, data-intensive UIs, and event-driven microservices. Series D · 100–200 people ## Similar jobs [Dyania Health](https://nextmove.md/fde/companies/dyania-health) ### [Forward Deployed Engineering](https://nextmove.md/fde/jobs/b4da555c0bda03f8) Jersey City, NJ Hybrid 4w ago $160,000–$225,000 [Traba](https://nextmove.md/fde/companies/traba) ### [Senior Software Engineer (AI Agents)](https://nextmove.md/fde/jobs/38341ca6668dcc65) New York, NY New · 6d ago $200,000–$240,000 [Thomson Reuters](https://nextmove.md/fde/companies/thomson-reuters) ### [Senior Integration Engineer – AI - Tax And Audit AI](https://nextmove.md/fde/jobs/26ab08eead89cbf9) Brooklyn, NY · Frisco, TX · +3 more Hybrid New · 6d ago $118,400–$253,000 [Salesforce](https://nextmove.md/fde/companies/salesforce) ### [Forward Deployed Engineer (FDE) — Agentforce Orchestration](https://nextmove.md/fde/jobs/aa41a1949bc5bc55) Atlanta, GA · Chicago, IL · +9 more 2mo ago $88,970–$316,750 [Google](https://nextmove.md/fde/companies/google) ### [Senior Forward Deployed Engineer, Google Labs](https://nextmove.md/fde/jobs/4d1c7448b8630fd7) Mountain View, CA · New York, NY 11d ago $174,000–$252,000 - [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior) - [Similar jobs in New York metro](https://nextmove.md/fde/jobs?region=nyc-metro) - [Similar jobs that build what the customer runs](https://nextmove.md/fde/jobs?role=builds-for-customers) Hiring at Materialize and want this page changed or removed? 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