> 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. # Senior/Staff Forward Deployed Engineer Canonical URL: https://nextmove.md/fde/jobs/303b3bfbfb7335e6 Laurel posts a senior FDE role to build what the customer runs in San Francisco, CA, at $221,000–$275,000 base, above the senior FDE median of $190,000 across 1,866 postings with pay. Design and ship production-grade AI systems across services, integrations, orchestration, and infrastructure Read from the employer’s posting on November 6, 2026. - [Laurel](https://nextmove.md/fde/companies/laurel) Updated November 6, 2026 **$221,000–$275,000** San Francisco, CA Hybrid Senior 6w ago Design and ship production-grade AI systems across services, integrations, orchestration, and infrastructure - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F303b3bfbfb7335e6&placement=top) - [View posting at Laurel](https://jobs.ashbyhq.com/laurel/4212bd1a-ea68-468d-adb6-bb71c9c7bc37/application) Free for you. Upload your resume once, see which FDE postings fit you and why, and get introduced when you say so. We never share your profile with employers without your permission. ## At a glance ### Posted base pay $221K–$275K Above the median This job $221K to $275K. Typical senior FDE pay, the middle 50% of 1,866 postings: $160K to $220K, median $190K. ### The work Builds what the customer runs Balance 1. Mostly building 2. Mixed 3. Mostly pre-sales or support Project stages 1. Pre-sales 2. Proof of concept 3. Implementation 4. Operations - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Senior - **Role**: Individual contributor ### What they ask for Experience - **4+ years** building production software systems Background - **Software engineering** Visa - **No visa sponsorship** ### Do you meet what the posting states? The posting asks for 4+ years. How many do you have? The job is in San Francisco, CA. Could you work there? The posting says no visa sponsorship. Do you need one? 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) ## More like this [OpenAI](https://nextmove.md/fde/companies/openai) ### [Applied AI Engineer, Enterprise](https://nextmove.md/fde/jobs/522df6273aa0eeb2) San Francisco, CA · New York, NY Hybrid 4mo ago $251,000–$278,000 [Reducto](https://nextmove.md/fde/companies/reducto) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/5c86f9b878bf4784) San Francisco, CA On-site 5mo ago $200,000–$300,000 [Edison Scientific](https://nextmove.md/fde/companies/edison-scientific) ### [Forward Deployed AI Engineer ](https://nextmove.md/fde/jobs/d999f8040fbafe9a) San Francisco, CA On-site 4mo ago $200,000–$300,000 ## The job description from Laurel Posted by Laurel on Sep 22, 2026 Laurel is on a mission to return time. As the leading AI Time platform for professional services firms, we’re transforming how organizations capture, analyze, and optimize their most valuable resource: time. Our proprietary machine learning technology automates work time capture and connects time data to business outcomes, enabling firms to increase profitability, improve client delivery, and make data-driven strategic decisions. We serve many of the world's largest accounting and law firms, including EY, Aprio, Crowell & Moring, and Frost Brown Todd, and process over 1 billion work activities annually that have never been collected and aggregated before Laurel’s AI Time platform. Our team comprises top talent in AI, product development, and engineering—innovative, humble, and forward-thinking professionals committed to redefining productivity in the knowledge economy. We're building solutions that empower workers to deliver twice the value in half the time, giving people more time to be creative and impactful. If you're passionate about transforming how people work and building a lasting company that explores the essence of time itself, we'd love to meet you. ### The Role As a Forward Deployed Engineer at Laurel, you’ll work directly with customers to design, build, and deploy AI-powered systems that solve real operational problems. You’ll operate at the intersection of engineering, product, and customer delivery — embedding deeply with customer teams, understanding their workflows firsthand, and shipping production-grade systems that create measurable impact. This is not a solutions architect role. It is not post-sales support. And it is not lightweight integration work you will write production code, own technical outcomes end-to-end, and help shape the core Laurel platform through what you learn in the field. The best FDEs are highly technical product engineers who also happen to be exceptional at navigating ambiguity, communicating with stakeholders, and turning incomplete information into working systems. You should be excited by questions like: - How do we turn a messy operational workflow into a reliable AI system? - What breaks when LLMs meet real enterprise data? - How do we build infrastructure that works across dozens of customer environments? - When should something become productized versus remain customer-specific? - How do we go from “interesting prototype” to trusted production workflow in days, not months? ### What You’ll Do - Work directly with customers and Laureates to understand operational workflows, constraints, and technical environments - Design and implement production-grade solutions across backend services, orchestration layers, integrations, and internal tooling - Write high-quality code across the stack — typically TypeScript, APIs, data pipelines, and cloud infrastructure - Own deployments end-to-end: discovery, architecture, implementation, testing, rollout, monitoring, and iteration - Debug complex issues across customer systems, infrastructure, authentication, APIs, and data pipelines - Collaborate closely with Product and Core Engineering to turn field learnings into reusable platform capabilities - Rapidly prototype new functionality while maintaining strong engineering judgment around scalability and maintainability - Translate ambiguous customer needs into clear technical plans and execution paths - Help customers operationalize AI safely and effectively in real production environments - Help accelerate the implementation team’s efforts to reduce time to impact for customers. ### What We’re Looking For We’re looking for engineers who combine strong technical fundamentals with exceptional ownership and execution. You may be a fit if you: - Have a minimum of 4+ years of experience building production software systems - Are comfortable moving across backend, infrastructure, integrations, and customer environments - Can independently architect and ship complex systems with minimal oversight - Have experience with APIs, distributed systems, cloud infrastructure, and data-intensive applications - Have worked with LLMs, AI agents, retrieval systems, orchestration frameworks, or applied AI systems in production - Thrive in ambiguous environments where requirements evolve quickly - Can communicate clearly with both engineers and non-technical stakeholders - Care deeply about speed, iteration, and customer impact - Are excited to work directly with customers and own outcomes, not just tickets ### Strong Signals These are not requirements, but they tend to correlate strongly with success in this role: - Startup experience or early-stage product building - Experience deploying AI systems into enterprise environments - Strong systems engineering or infrastructure background - Experience integrating with third-party enterprise systems and APIs - Familiarity with authentication systems, security constraints, and enterprise IT environments - Experience debugging production issues in unfamiliar codebases - History of shipping quickly under real-world constraints - Comfort balancing rapid iteration with long-term engineering quality ### What Success Looks Like Successful Forward Deployed Engineers at Laurel: - Earn deep trust with customer teams through technical credibility and execution - Move customers from pilot to production quickly - Create reusable technical patterns that improve the core platform - Identify the difference between one-off customization and durable product opportunity - Bring clarity to ambiguous problems - Operate with urgency while maintaining strong engineering judgment - Leave systems in a maintainable, scalable state after deployment ### Why This Role Matters At Laurel, we believe the best enterprise software comes from engineers working directly with real customer problems — not from building in isolation. The insights generated in the field shape our roadmap, platform architecture, and product direction. This role is ideal for engineers who want to: - Build and ship constantly - Work on hard technical problems with real-world constraints - Develop strong product instincts - Operate with high ownership and autonomy - See the direct impact of their work in production environments If you’re energized by ambiguity, technical depth, customer context, and fast execution, we’d love to talk. ### Why join Laurel: - To date, we've secured significant funding from renowned venture capitalists (Google Ventures, IVP, Anthos, Upfront Ventures), as well as notable individuals like Marc Benioff, Gokul Rajaram, Kevin Weil, and Alexis Ohanian - A smart, fun, collaborative, and inclusive team - Great employee benefits, including equity and 401K - Bi-annual, in-person company off-sites, in unique locations, to grow and share time with the team - An opportunity to perform at your best while growing, making a meaningful impact on the company's trajectory, and embodying our core values: understanding your "why," dancing in the rain, being your whole self, and sanctifying time We encourage diverse perspectives and rigorous thinkers who aren't afraid to challenge the status quo. Laurel is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We are not able to support visa sponsorship or relocation assistance. If you think you'd be a good fit for this role, we encourage you to apply, even if you don’t perfectly match all the bullet points in the job description. At Laurel, we strive to create an inclusive culture that encourages people from all walks of life to bring their unique, diverse perspectives to work. Every day, we aim to build an environment that empowers us all to do the best work of our careers, and we can't wait to show you what we have to offer! [View posting at Laurel](https://jobs.ashbyhq.com/laurel/4212bd1a-ea68-468d-adb6-bb71c9c7bc37/application) ## About Laurel AI-native timekeeping and work intelligence platform that automates time capture and transforms time data into business insights for accounting, legal, and consulting firms. Series C · 100–200 people ## Similar jobs [Monaco](https://nextmove.md/fde/companies/monaco) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/7b17a63586ec69e2) San Francisco, CA On-site 3mo ago $200,000–$400,000 [Tessera Labs](https://nextmove.md/fde/companies/tessera-labs) ### [Forward-Deployed Engineer](https://nextmove.md/fde/jobs/478f6651d1af72b7) New York, NY · San Francisco, CA Remote 6mo ago $180,000–$233,000 [Accenture](https://nextmove.md/fde/companies/accenture) ### [AI Forward Deployed Engineering Senior Manager | Sales ReInvention](https://nextmove.md/fde/jobs/16bca3048d7b55d6) Chicago, IL · Milwaukee, WI · +41 more 6w ago $112,900–$366,300 [Apollo Research](https://nextmove.md/fde/companies/apollo-research) ### [Forward Deployed Engineer (Product)](https://nextmove.md/fde/jobs/7394fd0a5648bf6e) San Francisco, CA On-site 2mo ago $222,000–$290,000 [Bretton AI](https://nextmove.md/fde/companies/bretton-ai) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/dcbc0ab1c673dea1) San Francisco, CA On-site 8mo ago $150,000–$200,000 - [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior) - [Similar jobs in SF Bay Area](https://nextmove.md/fde/jobs?region=sf-bay-area) - [Similar jobs that build what the customer runs](https://nextmove.md/fde/jobs?role=builds-for-customers) Hiring at Laurel and want this page changed or removed? Email info@nextmove.md and we take it down. ## Conditions - **Location**: San Francisco, CA - **Work arrangement**: Hybrid - **Employment type**: Full-time - **Visa sponsorship**: Not available - **Pay**: Employer postings · [How we read postings](https://nextmove.md/fde/method)