> 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. # Enterprise Engineer Canonical URL: https://nextmove.md/fde/jobs/18c1909e6d2fb8f0 Cartesia posts a FDE role to build what the customer runs in San Francisco, CA, at $180,000–$250,000 base, above the senior FDE median of $190,000 across 1,849 postings with pay. The Enterprise Engineer builds and owns production-grade infrastructure for agentic voice AI deployments in demanding enterprise environments, including customer-managed and on-premises systems. Read from the employer’s posting on November 6, 2026. - [Cartesia](https://nextmove.md/fde/companies/cartesia) Posted Jan 8, 2026 by Cartesia · open on Ashby as of Nov 6, 2026 **$180,000–$250,000** + equity San Francisco, CA On-site Full-time The Enterprise Engineer builds and owns production-grade infrastructure for agentic voice AI deployments in demanding enterprise environments, including customer-managed and on-premises systems. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F18c1909e6d2fb8f0&placement=top) - [View posting at Cartesia](https://jobs.ashbyhq.com/cartesia/84231d95-3bf2-480a-ab2b-fd958f97cf0b/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–$250K Above the median Midpoint $215K · median $190K This job $180K to $250K. Senior FDE postings, 1,849 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 - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Senior - **Role**: Individual contributor ### What they ask for Visa - **Sponsors visas** ### 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 - **Visa sponsorship**: Available - **Pay**: ## More like this [Distyl AI](https://nextmove.md/fde/companies/distyl-ai) ### [AI Engineer](https://nextmove.md/fde/jobs/2625d8a6aa23c2b2) San Francisco, CA · New York, NY Hybrid 4mo ago $180,000–$250,000 [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 [Cloudflare](https://nextmove.md/fde/companies/cloudflare) ### [Senior Forward Deployed Infrastructure Engineer](https://nextmove.md/fde/jobs/df0b7e1d2651bcb5) Austin, TX · San Francisco, CA Hybrid 4w ago $194,000–$266,000 ## The job description from Cartesia Posted by Cartesia on Jan 8, 2026 ### About Cartesia Our mission is to architect AI that learns from and interacts with the world like humans do. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. ### About the Role We’re hiring an **Enterprise Engineer** to advance our mission of building real-time multimodal intelligence by delivering agentic voice AI solutions directly into production for our customers. ### Your Impact - Architect and build enterprise-grade systems such as On Prem Deployments & Agent Infrastructure - Own the design and delivery of durable, first-class platform capabilities shaped by enterprise needs — the abstractions, core changes, and infrastructure that Cartesia's largest customers build on top of - Turn recurring patterns from customer deployments (gaps, incident themes, eval results) from one-off workarounds into scalable, long-term platform primitives - Define and raise the bar for reliability, security, and operational maturity across Cartesia's enterprise surface area - You'll have significant ownership over the core capabilities that determine whether Cartesia can scale across the most demanding enterprise environments globally ### What You Bring - Strong backend engineering fundamentals — you've designed and shipped infrastructure, platform services, or core abstractions that other teams build on top of - Proficiency in Go and/or Python - You think in terms of long-term maintainability and modularity - You’re good at collaborating cross-functionally and translating customer feedback into actionable product and platform improvements ### Nice-To-Haves - Experience with enterprise-grade concerns: deployment in customer-managed infrastructure (VPCs, on-prem), compliance regimes, observability, multi-tenancy, and security hardening *Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.* ### More Details 🏢 **In-office policy: **We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day. **🌎 Visa sponsorship:** We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call. 🚢 **We ship fast.** All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way. 🤝 **We support each other. **We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed. ### Our Benefits (US Employees Only) 💰 **Compensation **Competitive base salary alongside attractive equity package. 🩺 **Health Insurance **Fully covered medical insurance along with dental and vision for you and your family. 🧑🧑🧒🧒 **Parental Leave **9 weeks paternity & 12 weeks maternity leave 🏦 **401(k)** 🚆 **Commuter Allowance** A monthly stipend to help you get to and from the office. 🏖️ **Flexible PTO** Take as much time as you need to recharge your batteries. 🍲 **Meals & Snacks** Lunch, dinner and plenty of snacks, provided daily. 🦖 **Your own personal Yoshi** ### Our Commitment to Equal Opportunity *Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.* [View posting at Cartesia](https://jobs.ashbyhq.com/cartesia/84231d95-3bf2-480a-ab2b-fd958f97cf0b/application) ## About Cartesia Builds ultra-low-latency voice AI models and tooling for developers and enterprises, using state-space-model architectures to power real-time text-to-speech, speech-to-text, and voice agents. Series A · 10–50 people ## Similar jobs [Casca](https://nextmove.md/fde/companies/casca) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/927bef3af6c8393d) San Francisco, CA On-site 4w ago $160,000–$265,000 [jeffreym-consulting](https://nextmove.md/fde/companies/jeffreym-consulting) ### [Senior Forward Deployed Engineer](https://nextmove.md/fde/jobs/160095c9c45ee8af) San Francisco, CA On-site New · 2d ago $180,000–$250,000 [Databricks](https://nextmove.md/fde/companies/databricks) ### [Sr. Forward Deployed Engineer - Public Sector](https://nextmove.md/fde/jobs/440870dea6def209) Berkeley, CA · Kansas City, MO · +1 more Remote New · 2d ago $182,000–$250,208 [Roboflow](https://nextmove.md/fde/companies/roboflow) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/d8c0abf8214d490b) New York, NY · San Francisco, CA Remote 5mo ago $180,000–$250,000 [Edison Scientific](https://nextmove.md/fde/companies/edison-scientific) ### [Member of Technical Staff, Cloud Software Engineer](https://nextmove.md/fde/jobs/ec956d3e06abdc40) San Francisco, CA On-site 2mo ago $175,000–$240,000 - [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 Cartesia and want this page changed or removed? 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