Who We Are
At Serval, we're building the AI platform for IT teams. Our goal is to take on legacy players like ServiceNow, a $230+ bn company, by building the platform for AI agents to resolve IT issues instead of humans.
Serval “automates the automation,” using a natural language-to-code workflow builder and AI agents that discover and deliver automations for tedious IT workflows.
Our mission is to free IT departments from the #helpdesk channel by creating the simplest way to automate employee onboarding/offboarding, software access management, and the long tail of employee requests. Long term, our vision extends to developing a universal workflow automation platform for all business functions.
Serval was founded by product and engineering leaders from Verkada and is backed by industry-leading investors like First Round, General Catalyst, Alt Capital, and Box Group.
Role Overview
As Head of AI Engineering at Serval, you'll play a pivotal role in shaping the future of our platform. You will be tasked with building foundational parts of our AI platform and your contributions will be key to defining the success of our product.
Key Responsibilities
- This is a senior role with significant ownership. You will partner closely with our CTO to define and implement the foundational AI / ML architecture for Serval and select key technologies for our platform.
- You will be responsible for building AI-powered product capabilities and refining them through ongoing evaluation.
- Be a champion for user experience, incorporating a deep understanding of our users to guide design decisions alongside the founding team.
- Help us deliver on our technical and product roadmap.
- Help establish engineering best practices and standards within the team. Mentor junior engineers and contribute to a culture of technical excellence.
Requirements
- 6+ years of experience as an AI / ML focused software engineer.
- Experience with applied AI development: You have built new products or systems from the ground up using foundational models.
- You have experience creating and fine-tuning new models, then deploying and refining them in production.
- Deep appreciation for and commitment to delivering outstanding user experiences.
- Exceptional communication skills and a proven ability to work cross-functionally.
- Comfortable with the pace and ambiguity of a fast-growing startup environment.