> 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. # GTM AI Engineering Canonical URL: https://nextmove.md/fde/jobs/4aed0be0305443e1 Applied Compute posts a FDE role to build for teams inside the company in San Francisco, CA, at $160,000–$240,000 base, above the senior FDE median of $190,000 across 1,849 postings with pay. Build and own production software, AI agents, and data infrastructure for the company’s internal go-to-market engine. Read from the employer’s posting on November 6, 2026. - [Applied Compute](https://nextmove.md/fde/companies/applied-compute) Posted Oct 21, 2026 by Applied Compute · open on Ashby as of Nov 6, 2026 **$160,000–$240,000** + equity San Francisco, CA On-site Full-time Build and own production software, AI agents, and data infrastructure for the company’s internal go-to-market engine. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F4aed0be0305443e1&placement=top) - [View posting at Applied Compute](https://jobs.ashbyhq.com/Applied%20Compute/18854a82-76df-4745-aeb9-47e4fff78e91/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 $160K–$240K Above the median Midpoint $200K · median $190K This job $160K to $240K. Senior FDE postings, 1,849 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds for teams inside the company 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**: Internal teams - **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 [Google](https://nextmove.md/fde/companies/google) ### [AI Tooling Technical Solutions Consultant, GSRS Security Systems and Technology](https://nextmove.md/fde/jobs/b06d4e026bdf987b) Sunnyvale, CA · Austin, TX · +5 more 2w ago $152,000–$221,000 [Arcadia Science](https://nextmove.md/fde/companies/arcadia-science) ### [Software Engineer - Full Stack](https://nextmove.md/fde/jobs/3d2b1c651a50a087) Emeryville, CA On-site 3mo ago $160,000–$195,000 [Harper](https://nextmove.md/fde/companies/harper) ### [Forward Deployed Operations](https://nextmove.md/fde/jobs/80b7ff167e547412) San Francisco, CA On-site 4mo ago $125,000–$175,000 - [Other jobs at Applied Compute (1)](https://nextmove.md/fde/companies/applied-compute) ## The job description from Applied Compute Posted by Applied Compute on Oct 21, 2026 As a GTM AI Engineer at Applied Compute, you’ll build the software, agents, and data infrastructure that power our go-to-market engine. Your systems will help us identify promising accounts, reach the right people, and turn information from across our business into actionable insights. This is a software engineering role dedicated to our internal GTM systems. You’ll spend your time designing, coding, deploying, and improving tools our team uses every day. You’ll own projects from problem definition through production, with responsibility for their architecture, reliability, and business impact. You’ll work closely with our GTM team to understand their workflows, prioritize what to build, and improve the systems as the company grows. ### What you’ll do - **Build agents and applications for GTM workflows.** Develop systems for account research, prospect discovery, outreach personalization, inbound qualification, and pipeline reporting. - **Build the data foundation.** Connect our CRM, communication tools, meeting transcripts, and external data sources. Make account and contact information accurate, current, and accessible to the people and agents that need it. - **Turn recurring work into reusable software.** Identify manual bottlenecks and build tools that reduce repetitive work and help the team act on relevant information. - **Make LLM workflows reliable.** Develop evaluations, review workflows, and feedback loops that improve research accuracy, generated content, and agent behavior. - **Own production quality.** Maintain a shared codebase with code review, automated testing, monitoring, documentation, and reliable deployments. Debug failures and improve systems as usage grows. - **Measure and improve results.** Instrument workflows to understand their effect on qualified pipeline, conversion, and time saved. Use those results to guide experiments and engineering priorities. ### What we’re looking for - Prior professional experience as a software engineer or machine learning engineer, building and maintaining production systems on an engineering team. - Strong programming skills in Python or TypeScript, with experience working with APIs, databases, and integrations. - Hands-on experience building with LLMs, including tool use, agent workflows, and evaluations. - Comfort working with SQL and messy data, including reconciling information across multiple sources. - Strong engineering judgment: you can ship quickly while keeping systems understandable, testable, and maintainable. - Ownership and product sense. You can turn an ambiguous business problem into a useful tool, work directly with its users, and improve it based on evidence. ### Nice to have - Experience building internal tools, data pipelines, or automation used by a sales, marketing, or growth team. - Familiarity with CRM systems, enrichment providers, and sales engagement tools. - Experience designing experiments and measuring how software changes affect business outcomes. The U.S. base salary range for this full-time position is **$160,000–$240,000**. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a comprehensive benefits package designed to support you both personally and professionally. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted. ### Benefits & Logistics This role is based in San Francisco. We work from our office in the Mission. We offer: - Competitive compensation and equity - 100% employer-paid health insurance coverage for you and your family - Unlimited PTO - Paid parental leave - Daily lunches and dinners - Transportation and relocation support - 5% 401(k) match We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the process with you. We encourage you to apply even if you do not believe you meet every single qualification. As set forth in Applied Compute’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. [View posting at Applied Compute](https://jobs.ashbyhq.com/Applied%20Compute/18854a82-76df-4745-aeb9-47e4fff78e91/application) ## About Applied Compute Builds 'specific intelligence' AI agents trained from scratch on each enterprise customer's own data, sold to companies like DoorDash, Mercor, and Cognition. Series A · 10–50 people ## Similar jobs [NVIDIA](https://nextmove.md/fde/companies/nvidia) ### [Applied AI Engineer - VLSI Design](https://nextmove.md/fde/jobs/89d1e7f01575e622) Santa Clara, CA Hybrid 5mo ago $136,000–$264,500 [AssemblyAI](https://nextmove.md/fde/companies/assemblyai) ### [Senior GTM AI Engineer](https://nextmove.md/fde/jobs/f11b9f241b74e158) San Francisco, CA 2mo ago $160,000–$220,000 [Decagon](https://nextmove.md/fde/companies/decagon) ### [AI Acceleration Engineer](https://nextmove.md/fde/jobs/33936cf53f20218a) San Francisco, CA On-site 2mo ago $180,000–$220,000 [Patch](https://nextmove.md/fde/companies/patch) ### [Software Engineer - Market Intelligence](https://nextmove.md/fde/jobs/37f1a4334c032ed2) San Francisco, CA Hybrid 4w ago $170,000–$220,000 [Atoms](https://nextmove.md/fde/companies/atoms) ### [Senior Forward Deployed Engineer](https://nextmove.md/fde/jobs/fb3ba7936bd655e8) Mountain View, CA · San Francisco, CA On-site 2w ago $176,000–$242,000 - [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 for teams inside the company](https://nextmove.md/fde/jobs?role=internal-deployment) Hiring at Applied Compute and want this page changed or removed? 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