Giga
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This is a role provided by Giga. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base Pay Range $90,000.00/yr – $130,000.00/yr
Location:
San Francisco (100% In-Office)
Experience:
Entry, Intermediate
Salary:
$90K – $130K
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 an Agent Engineer to join our San Francisco team. You'll serve as a technical interface between Giga and our customers, building and deploying sophisticated solutions with our low‑code platform.
What You’ll Do
Assist customer engagements from start to end: run discovery calls & demos, build and maintain world‑class agents, participate in customer calls, and serve as the primary PoC in a fast‑paced environment.
Own the full agent development life cycle: build and prototype quickly, set up CI/CD, monitor live usage, iterate to targets, debug live issues, communicate with customers, and document best practices to speed up future projects.
Close the feedback loop with product & platform: capture unmet needs, prototype new features, contribute directly to the codebase, and collaborate with core teams to strengthen the platform for all customers.
Who You Are / Must‑Haves
Understanding of React, Python, tool calls, APIs, etc.
Interpersonal acumen: Able to solve problems in a people‑centric manner and communicate effectively, with experience/interest in customer‑facing roles.
Entrepreneurial: Preference for candidates with aspirations to become founders or leaders; ability to context switch constantly and rapidly; high bar for quality work.
Gritty: Capable of working long productive hours, customer focused, very high attention to detail, and obsessed with delivering high‑quality work.
Coachable: Able to take in feedback and adapt at a quick pace.
Experience: 1–3 years of experience; computer science, analytics, or consultant background strongly preferred.
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 with recruiting lead (20 min)
Technical interview (30 min)
Intro call with Agent Engineering lead (15 min)
In‑office interview (full day)
#J-18808-Ljbffr
This is a role provided by Giga. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base Pay Range $90,000.00/yr – $130,000.00/yr
Location:
San Francisco (100% In-Office)
Experience:
Entry, Intermediate
Salary:
$90K – $130K
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 an Agent Engineer to join our San Francisco team. You'll serve as a technical interface between Giga and our customers, building and deploying sophisticated solutions with our low‑code platform.
What You’ll Do
Assist customer engagements from start to end: run discovery calls & demos, build and maintain world‑class agents, participate in customer calls, and serve as the primary PoC in a fast‑paced environment.
Own the full agent development life cycle: build and prototype quickly, set up CI/CD, monitor live usage, iterate to targets, debug live issues, communicate with customers, and document best practices to speed up future projects.
Close the feedback loop with product & platform: capture unmet needs, prototype new features, contribute directly to the codebase, and collaborate with core teams to strengthen the platform for all customers.
Who You Are / Must‑Haves
Understanding of React, Python, tool calls, APIs, etc.
Interpersonal acumen: Able to solve problems in a people‑centric manner and communicate effectively, with experience/interest in customer‑facing roles.
Entrepreneurial: Preference for candidates with aspirations to become founders or leaders; ability to context switch constantly and rapidly; high bar for quality work.
Gritty: Capable of working long productive hours, customer focused, very high attention to detail, and obsessed with delivering high‑quality work.
Coachable: Able to take in feedback and adapt at a quick pace.
Experience: 1–3 years of experience; computer science, analytics, or consultant background strongly preferred.
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 with recruiting lead (20 min)
Technical interview (30 min)
Intro call with Agent Engineering lead (15 min)
In‑office interview (full day)
#J-18808-Ljbffr