> 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. # Member of Technical Staff — Product Engineering Canonical URL: https://nextmove.md/fde/jobs/1543d6fa6ceed9eb Causal Labs posts a FDE role to build what the customer runs in San Francisco, CA with no pay posted. Own the path from trained model to customer value, building production systems that serve predictions reliably on hard deadlines across customer environments. Read from the employer’s posting on November 8, 2026. - [Causal Labs](https://nextmove.md/fde/companies/causal-labs) Posted Jul 20, 2026 by Causal Labs · open on Ashby as of Nov 8, 2026 Pay not posted San Francisco, CA On-site Full-time Own the path from trained model to customer value, building production systems that serve predictions reliably on hard deadlines across customer environments. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F1543d6fa6ceed9eb&placement=top) - [View posting at Causal Labs](https://jobs.ashbyhq.com/causal/2cb5da89-e32f-4132-9980-c06bc221f2b6/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 Not posted 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 2. Proof of concept 3. Implementation 4. Operations Travel **Required, amount not stated** - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Senior - **Role**: Individual contributor ### Do you meet what the posting states? The posting reads as a senior role. What level are you at now? The job is in San Francisco, CA. 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**: San Francisco, CA - **Work arrangement**: On-site - **Employment type**: Full-time - **Travel**: Travel required, amount not stated ## More like this [Selector](https://nextmove.md/fde/companies/selector) ### [Senior Software/Solutions Engineer](https://nextmove.md/fde/jobs/99e7475abc057601) Santa Clara, CA New · 5d ago $150,000–$185,000 [Fireworks AI](https://nextmove.md/fde/companies/fireworks-ai) ### [AI Field Engineer - Enterprise](https://nextmove.md/fde/jobs/546672abcb710ae7) San Mateo, CA Hybrid 5mo ago $200,000–$260,000 [Scale AI](https://nextmove.md/fde/companies/scale-ai) ### [Frontier Agents Engineer (Forward Deployed Engineering)](https://nextmove.md/fde/jobs/aa082644713e92d5) San Francisco, CA · New York, NY · +1 more 5mo ago $180,000–$225,000 - [Other jobs at Causal Labs (1)](https://nextmove.md/fde/companies/causal-labs) ## The job description from Causal Labs Posted by Causal Labs on Jul 20, 2026 Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it. To achieve this breakthrough, we are building a Large Physics foundation Model (LPM) because physical systems, unlike text or images, are governed by verifiable cause and effect. We believe that scaling on physics will enable an understanding of causality required to predict and control physical systems, starting with weather. Our founding team has built and deployed AI against the physical world in robotics, drug discovery, and particle physics at institutions like DeepMind, Waymo, Cruise, Insitro, Nabla Bio, and CERN. We look for software engineers who are excited to tackle unsolved problems. As our models reach the real world, predictions must arrive reliably, on hard deadlines, in whatever environment our customers operate. Your mission is to own the path from trained model to customer value — the production systems that serve predictions, the surfaces customers touch, and the demos that turn frontier research into a product, making every deployment easier than the one before it. ### Responsibilities - Build and operate the production systems that deliver model predictions to customers around hard real-time deadlines — owning reliability end to end, from cost efficiency to monitoring, alerting, and incident response - Design and build the full product surface: backend APIs and data delivery, integration patterns, and frontend dashboards and visualizations that make predictions actionable - Own the packaging, security, observability, and upgrade machinery to deploy our product into customer environments — cloud, VPC, on-prem, and restricted networks - Create product demos and prototypes with and for prospective customers, iterating rapidly alongside go-to-market - Work directly in customer environments when needed: integrate with their data and systems, ship solutions on-site, and translate what you learn into requirements for research and product - Design the tooling and playbooks that let solutions built for one customer generalize to the next ### What we're looking for We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains. - Strong generalist software engineering skills across the stack: backend systems, APIs, cloud infrastructure (GCP, AWS, or Azure), and modern frontend frameworks - Experience deploying and operating ML systems in production, ideally across diverse or customer-controlled environments - Familiarity with containerization, orchestration, and infrastructure-as-code (e.g. Kubernetes, Docker, Terraform) - Comfort working directly with customers: scoping ambiguous problems, building demos under time pressure, and representing the company technically - Background in scalable model serving & deployment architectures and the systems around them - Owns deliverables end-to-end, from requirements through autonomous execution [View posting at Causal Labs](https://jobs.ashbyhq.com/causal/2cb5da89-e32f-4132-9980-c06bc221f2b6/application) ## About Causal Labs Builds a Large Physics foundation Model to predict physical systems and support decisions, beginning with weather. Seed · 10–50 people ## Similar jobs [Seekr](https://nextmove.md/fde/companies/seekr) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/46808066546c242c) Austin, TX · Menlo Park, CA · +1 more Hybrid 4w ago $170,000–$225,000 [SpaceX](https://nextmove.md/fde/companies/spacex) ### [Operations Engineer (Starshield Products)](https://nextmove.md/fde/jobs/37db35ee2b38bbf5) Palo Alto, CA 2w ago $110,000–$175,000 [PhysicsX](https://nextmove.md/fde/companies/physicsx) ### [Machine Learning Engineer](https://nextmove.md/fde/jobs/57f18e0ae9d2cebe) San Francisco, CA Hybrid 5mo ago $150,000–$190,000 [ResolveAI](https://nextmove.md/fde/companies/resolveai) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/9fbf9861d61dda44) San Francisco, CA On-site 4w ago Pay not posted [Sia](https://nextmove.md/fde/companies/sia) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/202e5a48c009cc01) New York, NY · Charlotte, NC · +7 more Hybrid 2w ago $130,600–$147,000 - [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 Causal Labs and want this page changed or removed? 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