> 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 Software / Data Engineer Canonical URL: https://nextmove.md/fde/jobs/8680836a0da5ee33 Sleuth Insights posts a senior FDE role to build what the customer runs in San Francisco, CA and 1 more, at $170,000–$210,000 base, level with the senior FDE median of $190,000 across 1,864 postings with pay. Senior software and data engineer building enterprise-grade, cloud-native data infrastructure and AI-powered data solutions for pharma projects. Read from the employer’s posting on November 8, 2026. - [Sleuth Insights](https://nextmove.md/fde/companies/sleuth-insights) First seen Oct 24, 2026 · open on Rippling as of Nov 8, 2026 **$170,000–$210,000** *annualized* San Francisco, CA +1 Hybrid Senior software and data engineer building enterprise-grade, cloud-native data infrastructure and AI-powered data solutions for pharma projects. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F8680836a0da5ee33&placement=top) - [View posting at Sleuth Insights](https://ats.rippling.com/sleuth/jobs/bee8c6b3-57d7-4947-84a0-577dae6a6e66) 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 $170K–$210K Level with the median Midpoint $190K · median $190K This job $170K to $210K. 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 3. Implementation 4. Operations - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Senior - **Role**: Individual contributor ### What they ask for Experience - **10+ years** Professional software and/or data engineering experience - **2+ years** Experience in small companies or startup environments Background - **Software engineering** - **Implementation and data engineering** ### Do you meet what the posting states? The posting asks for 2+ years. How many do you have? The posting reads as a senior role. What level are you at now? The job is in San Francisco, CA · Los Angeles, CA. Could you work in one of these? 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 · Los Angeles, CA - **Work arrangement**: Hybrid - **Remote work restrictions**: Hybrid in San Francisco or Los Angeles; a flexible hybrid/remote setup is offered. The posting lists a remote pay range for San Francisco. ## More like this [Thomson Reuters](https://nextmove.md/fde/companies/thomson-reuters) ### [Senior Software Engineer - AI, CoCounsel FDE](https://nextmove.md/fde/jobs/4062210d6364bfec) Frisco, TX · New York, NY · +7 more Hybrid New · 2d ago $118,400–$253,000 [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 [Google](https://nextmove.md/fde/companies/google) ### [Forward Deployed Engineer, Generative AI, Geo](https://nextmove.md/fde/jobs/10a632380303adc5) Mountain View, CA · New York, NY · +2 more 8d ago $152,000–$221,000 ## The job description from Sleuth Insights ### About Sleuth Sleuth is building a modern, agentic, and intelligent decision-making platform for the biopharma and life sciences industry. We’re using AI to automate workflows and deliver crucial insights and bespoke reports that answer our users’ critical questions about their investments. You should join us, because: - **Traction:** we’ve generated outsized demand for a startup of our size, and have already signed deals with some of the world’s leading biopharma companies. - **Talent density:** we’re growing thoughtfully and only work with incredibly smart, driven people. - **Velocity**: to meet the demand we’ve generated, we ship fast. You’ll learn a lot and constantly take on new challenges. - **Frontier technology & product:** we’re developing cutting-edge AI systems. You’ll truly be building the future of how biopharma and life sciences companies generate insights to power their business. ### About the role We are seeking an experienced data engineer who has built enterprise-grade, cloud-native data infrastructure and products. In this role, you’ll support our forward-deployed engineering efforts to build and ship data assets as part of pharma projects involving competitive intelligence and complex analytical tasks. You will be the primary bridge between these projects and the core engineering efforts to transform those assets into standard Sleuth platform AI-powered features. You will need to have knowledge and working experience with complex datasets in the pharma and biotech industry, a broad knowledge of data engineering tools and technologies, and the ability to swing between short/mid-term deliverables with customers and the mid/long-term sleuth technology roadmap. ### What you'll do - Design, develop, and operate AI-powered data solutions (ETL pipelines, entity extractions, and analytics) to deliver client projects. - Investigate new tools and technologies and develop proof of concepts to accelerate the delivery of data solutions. - Identify patterns that could be turned into platform capabilities and product features, document and analyze requirements, and deliver technical proposals. - Collaborate closely with the rest of the engineering team to ship platform capabilities and product features. - Develop applications and pipelines leveraging LLMs and modern agentic frameworks and tooling. - Leverage large-scale datasets for advanced analytics. - Contribute to engineering best practices across security, compliance, and software quality. - Build monitoring and observability into the infrastructure and all data components. ### What we are looking for - **Experience**: 10 years of professional software and/or data engineering experience in the industry with 2+ years in small companies or startup environments. - **Languages and tools**: proficiency in Python, Docker, orchestration framework (e.g., Airflow), - **Data stores**: relational databases (specifically PostgreSQL). Experience with graph and vector databases is a big plus. - **Generative AI**: Knowledge of LLMs and GenAI frameworks (LangChain, LangSmith, LangGraph, AutoGen, MCP, etc.). Hands-on experience is a big plus. - **Infrastructure & Ops**: experience in leveraging cloud environments and data services for development and operation, strong in infrastructure-as-code. - **Security & Compliance**: experience in secure software development and familiar with SOC2 or regulated software development environments. - **Education**: BS or MS in computer science, engineering, math, biology, or a related scientific field. Additional hands-on certificates are great to have. - **Working style**: collaborative and organized with a strong sense of end-to-end ownership. - **Domain Knowledge**: familiarity with biopharma, biotech, or life sciences environments and experience with the industry datasets (e.g., diseases, drugs, clinical trials, etc.) ### What we offer - Competitive compensation and meaningful equity, full healthcare benefits with generous employer contribution, and flexible hybrid/remote work setup. - Hands-on experience at the frontier of AI, building agentic systems that don’t just support but transform how insights are generated and applied. - An opportunity to directly partner with leading biopharma companies and see your work shape how this industry makes billion-dollar decisions using our software. ### Pay range Remote (San Francisco, California, US): 170,000 - 210,000 USD per year (remote) [View posting at Sleuth Insights](https://ats.rippling.com/sleuth/jobs/bee8c6b3-57d7-4947-84a0-577dae6a6e66) ## About Sleuth Insights AI-powered biopharma intelligence platform that turns clinical, competitive, and market data into traceable strategic analysis. 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 [Accenture](https://nextmove.md/fde/companies/accenture) ### [Full Stack Forward Deployed Engineering Manager](https://nextmove.md/fde/jobs/22c678035fc1bf46) Arlington, VA · Milwaukee, WI · +35 more 2mo ago $80,400–$316,300 [Clockwork Systems](https://nextmove.md/fde/companies/clockwork-systems) ### [Senior Software Engineer, TorchPass Product Engineering](https://nextmove.md/fde/jobs/15c23388a215b20d) Palo Alto, CA On-site 4w ago $150,000–$230,000 [Levelpath](https://nextmove.md/fde/companies/levelpath) ### [Integrations Engineer (San Francisco)](https://nextmove.md/fde/jobs/dec4152c2efa9afc) San Francisco, CA On-site 3mo ago $165,000–$240,000 [Harness](https://nextmove.md/fde/companies/harness) ### [Forward Deployed Engineer (Implementation Engineering)](https://nextmove.md/fde/jobs/8bbe8200b00b1ea6) Chicago, IL · New York, NY · +1 more Remote 6w ago $170,000–$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 Sleuth Insights and want this page changed or removed? 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