Member of Technical Staff – Applied AI

Hone•San Francisco, CA

1d•Onsite

About The Position

Hone builds agentic AI systems that work toward goals over weeks and months, deploy themselves, and improve over time. The Member of Technical Staff – Applied AI will get these engines into customer systems and own their deployment and outcomes. The role involves scoping customer goals into engine specifications, taking engines live with customer teams, owning a set of accounts alongside an engineering owner, and building systems that automate deployment so engines can eventually deploy themselves. The position includes working with customers from discovery and scoping through testing and autonomous operation. After launch, the role operates engines that can change their own agents and code, using evaluations, corrections, and rollbacks. It also involves triaging customer requests, building internal deployment automation, and sharing customer feedback and usage insights with core engineering and product teams to inform the roadmap. The position is based in San Francisco and is in person, Sunday to Friday. Hone offers competitive salary and meaningful equity, visa sponsorship, health and dental insurance, maternity and parental support, and relocation support.

Requirements

At least 2 years of experience in engineering, forward-deployed work, or a functional domain, or equivalent depth from research, open source, or personal projects.
Experience at a fast-growing startup.
A clear area of strength as an engineer, forward-deployed engineer, or functional expert in areas such as go-to-market, finance, or operations who builds with AI.
Built something from scratch and maintained it in production, such as a deployment, product, or function.
Strong technical fundamentals, including APIs, authentication, data pipelines, enterprise systems, and agents.
Ability to turn ambiguous problems into clear specifications and determine when to cut scope.
Regular use of coding agents, with the ability to understand every line of code shipped.
Genuine interest in how the technology works, demonstrated by building and tinkering for fun.

Nice To Haves

Deployment experience at an AI startup or lab.
Experience designing evaluations.

Responsibilities

Discover customer needs and scope them into engine specifications, including objectives, evaluations, permissions, and connectors.
Take engines live with customer teams, from initial testing through autonomous operation.
Operate engines after launch, including evaluating changes to their agents and code, applying corrections, and managing rollbacks.
Triage customer requests into configuration, bounded workarounds, or product fixes.
Build internal systems to automate use-case discovery, scoping, and implementation, and develop these into first-class product primitives over time.
Work with core engineering and product teams to inform the roadmap based on customer feedback and usage.
Own a set of customer accounts alongside an engineering owner.