Founding Member of Technical Staff, Engineering

present of AI; San Francisco (CA); Remote; USD 200,000 - 300,000; Full time

Job summary

present of AI is seeking a Founding Member of Technical Staff in Engineering to help define and build an agent-native research platform. This is a rare, founding-level role on a very small team responsible for data storage, the customer interface, and the agents that source experts, conduct voice interviews, and generate reports.

The role requires breadth across software, systems design, and shipping real, scalable solutions at startup speed.

Job description

Founding Member of Technical Staff, Engineering

AI & Data · San Francisco, CA, US / Warsaw, Masovian Voivodeship, PL / London, England, GB / Remote (US) · Full-time

This is a founding engineering role on a very small team, so the work spans the whole product: data storage, the interface customers use, and the agents that find experts, run voice interviews and write reports. A strong candidate brings a proven record of building software, solid programming and system design ability, and comfort working at startup speed where priorities shift. The posting does not name a specific stack or years of experience, so breadth and evidence of shipping real systems matter most.

How it fits the AI era

The product is built around agents that carry out research end to end, so much of the routine work of gathering and analysing information is meant to be automated. The human contribution sits in designing those agent systems, judging whether their output holds up, and shaping the product decisions around them. This is a role where AI is the core of the work rather than a side tool.

How it builds AI experience

Working here means hands on building agent pipelines that combine expert sourcing, voice interviews and document analysis into one study, which is direct experience with applied agent systems. A candidate can prepare by building small agent workflows that gather sources, conduct structured interviews and produce a written summary, then showing how quality was checked. Familiarity with voice or conversational interfaces and with handling large document sets would map closely to what the company describes.

Worth showing

• Full stack product building
• Voice interview tooling

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About LATO

LATO is an agent-native research platform that, per the company, sources and interviews hundreds of verified domain experts and customers, then combines those interviews with thousands of documents into a single commercial study.