Senior / Staff Forward Deployed Engineer

Giga

San Francisco (CA)

On-site

USD 180,000 - 400,000

Full time

14 days+

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Benefits offered by this job

Competitive total compensation
Equinox membership
Full health, dental, and vision coverage
On-demand snacks, coffee, and DoorDash Credits
Ubers covered home

Job summary

A leading AI solutions provider in San Francisco is seeking a Forward Deployed Engineer to lead customer engagements and design production-ready AI agents. You will be responsible for overseeing the entire development life cycle and mentoring engineers. The ideal candidate has a strong background in React and Python, as well as significant customer-facing experience. The company offers competitive compensation and numerous perks, including health benefits and on-demand snacks.

Qualifications

  • 4+ years of total managerial experience.
  • 4+ years customer-facing experience.
  • 4+ years of hands-on engineering experience.

Responsibilities

  • Lead customer engagements from start to end.
  • Design & ship production-ready AI agents.
  • Own the full agent development life cycle.
  • Manage and mentor agent engineers.
  • Close the feedback loop with product & platform.

Skills

React
Python
APIs
Problem-solving
Customer-facing roles

Education

Computer science degree or equivalent experience

Job description

Overview

Location: San Francisco / New York (100% In-Office)
Experience: 3+ years
Salary: $180k - $400k+ • Offers Equity

Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email.

About the Role

We\'re seeking a Forward Deployed Engineer to join our San Francisco team. You\'ll serve as the technical interface and project leader between Giga and our customers, building and deploying sophisticated AI-driven solutions at scale.

What You’ll Do
  • Lead customer engagements from start to end: run discovery calls & demos, align business/technical stakeholders on milestones, oversee the deployment/maintenance of world class agents, and serve as the primary PoC who drives meetings and removes blockers.
  • Design & ship production-ready AI agents: work with large-scale data, write backend code, build integrations, and deploy to cloud infrastructure.
  • Own the full agent development life cycle: prototype quickly, set up CI/CD, monitor live usage, iterate to targets, and document best practices to speed up future projects.
  • Mentorship: Manage and mentor agent engineers to grow into project leaders, while maintaining an exceedingly high bar for excellence. Debug live issues in real-time, unlock business opportunities, and help win, retain, and grow customers.
  • Close the feedback loop with product & platform: capture unmet needs, prototype new features, and collaborate with core teams to strengthen the platform for all customers.
Who You Are / Must-Haves
  • Know the Stack: Understanding of React, Python, tool calls, APIs, etc.
  • Interpersonally Acumen: Able to solve problems in a people-centric manner, communicate effectively, and operate with a low ego. Must have experience in customer-facing roles.
  • Strong Background: Computer science degree or industry-equivalent experience and customer facing experience (e.g. consulting); 4+ years of total managerial experience.
  • Entrepreneurial: Preference for candidates with experience at successful startups - former founders are especially valued; ability to context switch constantly and rapidly; high bar for quality work.
  • Gritty: Capable of working long productive hours; very high attention to detail; can own a project end-to-end with limited or no guidance.
  • Experienced: 4+ years customer facing experience; 4+ years of hands-on engineering experience.
Perks & Benefits
  • Competitive total compensation

  • Equinox membership

  • Full health, dental, and vision coverage

  • On-demand snacks, coffee, and DoorDash Credits

  • Ubers covered home

Interview Process
  • Screening call w/ recruiting lead (20 min)

  • Intro call w/ FDE lead (20 min)

  • Technical interview (2 hr)

  • In-office interview (full day)

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