Deployment Leadership
Company websiteserval.com (Serval, opens in new tab)
Base salary $250K to $400K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (28 min ago) · observed since
About this job
Who We Are
Serval is the AI-native enterprise service management platform that automates the work legacy IT service management tools only track. Our AI agents build the automations that power employee support, then resolve requests against them instantly—helping teams across IT, HR, finance, legal, and beyond automate work within one governed platform.
Companies including Fox, Live Nation, Notion, Ramp, and Lucid Motors run on Serval. Headquartered in San Francisco, we’ve raised $277 million from investors including Sequoia Capital, Redpoint Ventures, First Round, General Catalyst, and Elad Gil, most recently a $150 million Series C at a $3 billion valuation.
We’re building a team that moves quickly, takes ownership, and wants to make a meaningful impact on how the world’s largest organizations work. Come help us build what’s next for enterprise service management.
Role Overview
As a Deployment Leader, you’ll build and lead the team that sits closest to Serval’s customers — where product meets reality. You’ll own how we deploy Serval’s AI platform into complex IT environments, ensuring customers realize immediate value while feeding critical insights back into product and engineering.
You’ll start as a hands-on technical leader — writing code, leading high-stakes pilots, and designing scalable onboarding processes — then grow a team of forward deployed engineers who blend software engineering, customer empathy, and systems thinking.
This role is ideal for someone who’s operated at the intersection of engineering and customer success, thrives in ambiguity, and loves building zero-to-one technical teams in high-growth, AI-native startups.
What You’ll Do
Build and lead the Deployed Software Engineering function, defining its charter, processes, and hiring plan.
Own customer implementations and pilots, ensuring rapid, reliable value delivery for strategic accounts.
Write production-quality code to extend Serval’s platform, integrate APIs, and solve unique customer challenges.
Develop reusable onboarding frameworks, turning bespoke deployments into repeatable, scalable patterns.
Partner with Product & Engineering to translate field learnings into roadmap priorities and platform improvements.
Act as a trusted advisor to customers’ IT and Security leaders, guiding them through automation design and rollout.
Drive technical strategy for migrations, integrations, and long-term account success.
Recruit, mentor, and develop a world-class team of forward deployed engineers who embody Serval’s pace and precision.
Establish metrics and systems to track deployment velocity, adoption, and satisfaction across accounts.
What You’ll Need
7–10+ years of software engineering experience, with 3+ years leading technical or customer-facing teams.
Proven track record of building and scaling Software Engineering teams in a fast-paced SaaS or AI environment.
Strong technical foundation — capable of reading and writing production code, building APIs, and debugging distributed systems.
Experience working directly with enterprise customers on deployments, integrations, and architecture design.
Excellent communication skills — able to translate between technical and executive audiences.
Builder’s mindset: thrives in ambiguity, moves fast, and creates process where none exists.
Deep customer empathy and the ability to balance short-term needs with long-term platform evolution.
Based in or willing to work from our SF HQ, 5 days/week, with occasional travel to customers.
Nice to Have
Prior startup experience as an early technical or engineering leader.
Knowledge of IT, Security, or workflow automation domains.
Comfort working with LLM-based or AI agent systems in production.
Strong opinions on how “agentic” deployment teams should operate and measure success.
What We Offer
Impact: Be a key player in shaping the success of our product and company.
Growth: Build a fundamentally new AI product offering with the support of our experienced team and investors. Grow rapidly with the company.
Culture: Join a culture that values innovation, ownership, accountability, and fun.
Source: Serval on Ashby · View original posting (opens in new tab)
This listingDeployment Leadership$250K to $400K
Engineering Leadership$250K to $400K
Head of Field Marketing, Commercial$230K to $280K
Head of Field Marketing, Strategic$220K to $280K
Software Engineer, Frontend$200K to $325K
Security Engineer, Infrastructure$200K to $325K
Security Engineer, Detection and Response$200K to $325K
Chart as a table
| Role | Published base |
|---|---|
| Deployment Leadership (this listing) | $250K - $400K |
| Engineering Leadership | $250K - $400K |
| Head of Field Marketing, Commercial | $230K - $280K |
| Head of Field Marketing, Strategic | $220K - $280K |
| Software Engineer, Frontend | $200K - $325K |
| Security Engineer, Infrastructure | $200K - $325K |
| Security Engineer, Detection and Response | $200K - $325K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- fields changed
- Observed since
- Employer-stated posting date
- 2026-05-22
Where this pay comes from
Location as the employer wrote it: San Francisco
USD 250,000 – 400,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
