Forward-Deployed Engineer

present of AI; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Nowadays seeks a forward deployed engineer to work closely with customers, turning their needs into working software and adapting the product on site. You will bridge the gap between client requests and technical delivery, with strong focus on communication and rapid prototyping.

The role emphasizes direct user interaction, translating vague requirements into concrete tasks, and solving messy problems quickly while aligning with AI-enabled workflows in event planning.

Qualifications

• Solid general engineering skills and ability to translate client needs into working software.
• Comfort talking directly with users and translating vague requests into clear requirements.

Responsibilities

• Collaborate with customers to turn needs into on-site software solutions.
• Evaluate AI-assisted workflows, design sensible fallbacks, and iterate with clients.

Skills

General engineering

Communication

Problem solving

Tools

API integration

Job description

A forward deployed engineer typically works close to customers, turning their needs into working software and adapting the product on site. A strong candidate brings solid general engineering skills, comfort talking directly with users, and the ability to solve messy problems quickly. For a company automating event planning, that means helping clients get venue sourcing and logistics workflows running well in practice.

How it fits the AI era

AI tools speed up coding and let one engineer cover more ground, so the role leans more on judgment about what to build and how to fit it to each client. The human parts stay central: listening to customers, translating vague requests into clear requirements, and deciding when an AI suggestion is wrong. This kind of role grows as AI products need people who can bridge the software and the real work it supports.

How it builds AI experience

The role offers hands on practice integrating AI features into live customer workflows, such as automating sourcing or contract steps. Building that experience means learning to evaluate model output, design sensible fallbacks, and test with real event data. Working directly with clients on AI assisted tools is a strong way to learn where automation helps and where it does not.

Worth showing

• Rapid prototyping
• API integration
• Problem solving
• Clear communication

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 Nowadays

AI copilot for corporate event planning that automates venue sourcing, contract negotiations, and attendee logistics, per the company.