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Staff Forward Deployed Engineer

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Remote from
USA
Salary
USD 195k–240k / yr
Employment
Full Time
Experience
Senior
Published
Apply before
21 Nov 2026
Listing views
17
Application actions
0
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AI Summary

The role, at a glance.

This staff-level software engineering role embeds with business functions to discover workflow bottlenecks and deliver production AI systems. The engineer will build reusable LLM-powered capabilities, measure operational impact, and translate prototypes into maintainable platform solutions. Strong Python, cloud infrastructure, backend or full-stack development, SQL, and AI-agent patterns are central requirements. The role requires substantial cross-functional discovery and communication with both technical and non-technical partners. It is a senior individual-contributor position focused on business outcomes, scalable engineering, and applied AI adoption.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe role combines staff-level production engineering with ambiguous business-process discovery and practical LLM/agent implementation. Success requires independently becoming effective in unfamiliar domains while delivering measurable outcomes across complex systems.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$217,500
US market range (per year)$190k–$260k
AI insightThe employer discloses a yearly base-pay range of $195,000-$240,000 USD, with a midpoint of $217,500. A reasonable estimated US market range for a staff-level forward-deployed AI/software engineer is $190,000-$260,000 per year; equity may be additional.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
Describe an AI-powered workflow you took from discovery to production. How did you measure its impact?

I would begin by documenting the existing process and baselining metrics such as cycle time, error rate, throughput, and manual effort. After validating a narrowly scoped prototype with users, I would productionize it with monitoring, evaluation datasets, guardrails, and clear ownership, then compare post-launch metrics against the baseline.

How would you identify the highest-value AI opportunity within an unfamiliar business function?

I would embed with users, observe real work, map handoffs and exceptions, and quantify recurring sources of delay or rework. I would prioritize opportunities based on expected business impact, data availability, implementation risk, user adoption, and the potential to create a reusable platform capability.

How do you make an LLM-based system reliable enough for production use?

I would define task-specific quality metrics, build representative evaluation sets, version prompts and models, and instrument latency, cost, failures, and output quality. For consequential actions, I would use structured outputs, validation rules, retrieval grounding, permissions controls, fallbacks, and human review where appropriate.

How would you explain an agentic AI solution to non-technical stakeholders?

I would frame it in terms of the current process, the specific decisions or tasks being automated, expected benefits, known limitations, and controls. I would avoid implementation jargon and use a concrete workflow demonstration alongside measurable success criteria.

What approach would you take to turn a successful team-specific automation into a reusable company capability?

I would separate domain-specific logic from common platform components, document interfaces and operating assumptions, and create reusable templates or services. I would then validate the abstraction with a second use case, add observability and support ownership, and publish adoption guidance for other teams.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve.

Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.

About the Role:

We’re looking for a Staff Forward Deployed Engineer who’s passionate about using AI to change how teams across the business get their work done.

You’ll embed with a team, learn how they actually work, and build the AI-powered workflows that make them faster and more effective. You start by mapping how the function operates today, then decide together with the team where AI can create the most value and build it.

This is not a support role, a solutions-engineering role, or staff augmentation. You are a full engineer who works at the boundary between our AI platform and a business domain. You ship production systems, and the best of what you build for one team becomes a reusable capability for the whole company.

You Will:

  • Embed with a team. Work alongside a function for sustained periods, joining their day-to-day so you understand how they really operate.

  • Map how the work gets done. Build a clear picture of the function’s current workflows and surface where time, handoffs, rework, and manual effort pile up.

  • Find where AI creates the most value. Prioritize the opportunities that will move the function’s outcomes the most, and align with the team on what to tackle.

  • Build it in production. Ship real, AI-powered workflows that solve the problems you find, working hands-on with the team and our platform.

  • Scale what works. Turn proven solutions into reusable capabilities so a win with one team accelerates the whole organization.

  • Own the outcome. Measure success by the business results your partners achieve: revenue generated, cost saved, cycle time reduced, manual work eliminated.

You Have:

  • 8+ years of professional software engineering experience.

  • Strong hands-on coding skills and experience delivering production systems across complex codebases.

  • Strong Python, plus backend or fullstack depth in one or more of: Node.js, Kotlin, Java, Go, React, TypeScript, or mobile.

  • Experience with cloud infrastructure (AWS, Docker, Kubernetes), CI/CD workflows, and SQL.

  • Working knowledge of LLMs and agentic patterns: prompt engineering, tool use, RAG and retrieval, context management, evaluation and observability, and agent orchestration with frameworks like MCP, LangChain, or similar.

  • The ability to get productive fast in codebases and domains you have never worked in.

  • Excellent communication and collaboration skills. You partner across technical and business teams, translate between them, and produce docs and findings that both engineers and non-technical stakeholders can act on.

  • Nice to have:

    • Experience extracting structure from unstructured data (transcripts, documents, conversations) with LLMs.

    • Familiarity with workflow automation tooling (n8n, Zapier, Temporal, or similar).

    • Familiarity with process mining or workflow analysis (event logs, process discovery, BPMN).

You’ll Thrive Here If You:

  • Love experimenting with AI tools and applying them to real engineering and business challenges.

  • Enjoy embedding with teams outside engineering and bridging the language gap between technical and business partners.

  • Treat discovery as engineering work, not a preamble to it.

  • Enjoy translating early prototypes into production-ready, maintainable systems.

  • Are curious, pragmatic, and impact-driven. You measure success by the business outcomes your partners achieve.

Our Benefits (there are more but here are some highlights):

  • Competitive salary & equity compensation for full-time roles

  • Unlimited PTO, company holidays, and quarterly mental health days

  • Comprehensive health benefits including medical, dental & vision, and parental leave

  • Employee Stock Purchase Program (ESPP)

  • 401k benefits with employer matching contribution

  • Offsite team retreats

We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you’re excited about this role, we encourage you to apply—even if you’re not sure if your background or experience is a perfect match.

Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@forhims.com and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.

To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement.

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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