
Fullstack Engineer — Marketplace
- Salary
- $120k – $165k / year
- Type
- Full-time
- Location
- San Francisco, CA · San Francisco (California) · Hybrid
- Valid through
- 10/31/2026
Additional details
- Posted
- Posted 4 days ago
- Applications
- 17
- on Ganloss
- Experience
- Mid · 3+ years
- Education
- BS/MS CS, ML, or equivalent experience
- Region
- California
- Team
- Ganloss — AI team
- Company size
- 10-50
- Founded
- 2024
Job description
Ganloss is hiring a Fullstack Engineer — Marketplace (Full-time) hybrid. This fullstack engineer — marketplace role is part of the AI hiring market in San Francisco (California). Build the proof-first AI hiring marketplace at ganloss.com. Listed compensation: $120k – $165k / year. Stack: TypeScript, React, PostgreSQL, TanStack Start.
AI profiles are in demand in San Francisco: San Francisco and the Bay Area host the largest share of US AI hiring: LLM, MLOps, foundational research, and GenAI products. OpenAI partners, Databricks, Scale AI, and hundreds of…
The team
Ganloss — AI team
Responsibilities
- Ship production AI features with measurable quality and latency targets
- Partner with product and design on roadmap and customer feedback
- Improve observability, evals, and safe rollout practices
Requirements
- Strong Python or TypeScript fundamentals and 3+ years relevant experience
- Hands-on LLM, ML, or data platform work in production
- Clear written communication and async collaboration
Tech stack
Benefits
Hiring process
- 1Recruiter screen (30 min)
- 2Technical interview (60 min)
- 3Team fit
- 4Offer
Experience: Mid · 3+ years · Education: BS/MS CS, ML, or equivalent experience
Go further
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FAQ — Fullstack Engineer — Marketplace
- What is the salary for Fullstack Engineer — Marketplace at Ganloss?
- Listed range: $120k – $165k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
- Where is the Fullstack Engineer — Marketplace role based?
- San Francisco, CA, San Francisco (California). Work mode: Hybrid.
- How do I apply to Ganloss?
- Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0042. Process: Recruiter screen (30 min) → Technical interview (60 min) → Team fit → Offer.
- Is Ganloss hiring other AI roles?
- Ganloss (HR tech & AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.
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