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Serval
San Francisco, California, United States
Source: Serval careers · View original posting
From Serval's posting. “We” and “our” refer to the employer.
Who We Are
Serval is an AI-native automation platform transforming how enterprises operate. We build intelligent agents that understand real-world workflows and execute them end-to-end — replacing manual processes and rigid legacy systems with adaptive, learning software. Founded in early 2024, Serval is already trusted by companies like Fox, Notion, Perplexity, Vercel, and Brex to automate high-volume, high-friction operational work across their organizations.
At the core of Serval is an agentic AI platform that turns natural language into production-grade workflows. Our agents don’t just respond to requests — they reason, take action across systems, and continuously improve with usage. What began with operational use cases has quickly evolved into a horizontal AI automation layer used across IT, HR, Finance, Security, Legal, and Engineering.
Our mission is to eliminate repetitive, manual work across the enterprise and give teams leverage through intelligent automation. Long term, we’re building the universal AI operations layer — a system of agents that sits across business functions and runs the workflows that keep modern companies moving.
We’re backed by leading investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, and others.
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.
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.
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.
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.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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