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

At most software companies, the deal is won in the demo and lost in the implementation. The product looks great in a controlled environment, the contract gets signed, and then the customer spends the next six months fighting to get it actually working.

Serval is the opposite. We deploy within the customer’s existing systems during the pilot, so they can actually begin automating their IT processes pre-purchase… the ultimate conviction-builder. Once they’ve signed with us, we continue partnering with them to deploy new use cases and train them on how to make the entire company builders on Serval. The value that they get from Serval will be driven by how well we deploy our technical talent.

Solutions Engineers, Deployment Strategists, and Deployed Software Engineers are the difference between a pilot that converts and one that falls apart. We need to build our deployment function into an engine that drives sales processes and implementation faster and consistently.

Your goal is to design the deployment operating model, staffing strategy, and related initiatives that let us do exactly that, at scale.

Who You Are

• An operator with strong analytical rigor. You’re comfortable distilling complex, ambiguous problems into the key insights and decisions that matter.

• A builder, not a coordinator. You don’t just map the process, you roll up your sleeves and build the system, the model, and the playbook.

• Commercially sharp. You understand that how we deploy technical resources is a margin, reputation, and revenue lever, not just an operational detail.

• Relationship-oriented. You know your effectiveness depends on your ability to influence Sales, technical teams, and leadership without owning them.

• High ownership, high slope. You see the gap, you propose the solution, you execute.

  • 5 - 8 years across a variety of relevant experiences (with 2+ years of operating experience required):

  • Investment banking / VC / PE / Consulting

  • Biz Ops & Strategy

  • Revenue Strategy & Operations

  • Professional Services, Deployment, or Technical Program Management

What You’ll Do

• Own the deployment operating model. Define the roles and responsibilities of Sales Engineers, Deployment Strategists, Deployment Success Managers, Deployed Software Engineers, and Solutions Engineers, and how each is leveraged during the sales process, during the pilot, and post-purchase.

• Design the pilot motion. Scope what the pilot process looks like, who owns which responsibilities, and what a clean handoff between sales and deployment, and from pilot into production, actually looks like.

• Drive ARR. Partner with sales & deployment leaders to identify process gaps or ways to accelerate deals to maximize ARR.

• Build the staffing & resourcing model. Create the system that deploys our technical resources optimally across the prospective and current customer base, and determine the headcount required to meet demand as we scale.

• Build the pilot and deployment playbooks. Define what work gets done at each stage, what we own versus what we expect customers to do, and the standards that make outcomes repeatable rather than heroic.

• Build KPI reporting that shows the business, and our customers, what a healthy, efficient deployment looks like, from time-to-value to resource utilization.

• Partner closely with Sales, the post-sales Customer team, and Leadership to ensure technical resources are deployed where they create the most value, and the realities of deployment shape how we sell.

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.