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Solutions Engineer

Gloo

San Francisco (CA)

Hybrid

USD 130,000 - 200,000

Full time

5 days ago
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Job summary

A fast-scaling generative AI startup in San Francisco seeks a Solutions Engineer to join their team. This role encapsulates high-impact technical work aimed at alleviating developer challenges and ensuring customer success in utilizing AI technologies. The successful candidate will interact closely with both self-serve and enterprise teams, driving smooth integrations and high usability of the platform.

Benefits

Competitive salary + equity
Work with a forward-thinking team in AI
Hybrid flexibility
Direct impact on platform usability
Opportunity to join during a critical growth phase

Qualifications

  • Experience with AI/ML models or APIs preferred.
  • Familiarity with video processing or media APIs.
  • Prior startup or early-stage environment experience.

Responsibilities

  • Eliminate developer friction before it starts by troubleshooting effectively.
  • Guide customers from the first API call to production rollout.
  • Identify support patterns and proactively enhance documentation.

Skills

Problem Solving
Customer Support
Communication
Debugging
Automation

Job description

This range is provided by Gloo. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$130,000.00/yr - $200,000.00/yr

Solutions Engineer – Generative AI Platform

Comp: Competitive base + equity + full benefits

We’re working with a fast-scaling generative AI startup based in San Francisco that's reshaping how developers build with next-gen multimodal models. Backed by top-tier investors and led by pioneers in real-time AI and human-avatar interfaces, this team is building the infrastructure that powers the future of intelligent video and communication tools.

They’re now looking for a Solutions Engineer to join their core go-to-market and platform enablement team. This is a high-impact, technical role for someone who thrives in fast-paced environments, loves solving problems at their root, and enjoys helping other developers succeed.

  • Be the unblocker – Don’t just respond to tickets. Your mission is to eliminate developer friction before it starts.
  • Debug fast and well – Troubleshoot API requests, logs, webhooks, and customer codebases. Solve problems decisively and clearly.
  • Own technical enablement – Guide customers from first API call to full production rollout. Help both self-serve and enterprise teams architect clean, scalable integrations.
  • Think like a user – Identify patterns in support issues and proactively fix them. Improve documentation, build sample code, and work cross-functionally with engineering to solve root problems.
  • Scale yourself – Build scripts, automation, and documentation so your future self never answers the same question twice.
  • Build resources – Write sample apps, create integration templates, and record developer-friendly how-to content.
  • Optimize for zero – Aim for near-zero time to resolution. Every support inefficiency is a growth opportunity.
  • Scrappy and resourceful – You don’t wait for permission or perfect specs. You find a way forward.
  • Multi-tasking master – You can juggle multiple customers, issues, and projects without letting anything slip.
  • Customer-obsessed – You genuinely care about helping developers succeed and go the extra mile to do it.
  • Clear communicator – You translate highly technical details into simple, actionable advice—both written and verbal.
  • Ownership mindset – If something’s broken, you don’t just flag it—you fix it (or pair with someone who can).
  • Working with AI/ML models or APIs
  • Experience with video processing or media APIs
  • Prior startup or early-stage environment
  • Familiarity with dev rel or customer engineering roles

What’s in It for You

  • Work with one of the most forward-thinking teams in AI
  • Competitive salary + equity
  • Hybrid flexibility based in San Francisco
  • Direct impact on platform usability and customer success
  • Join at a pivotal stage of growth and product-market fit
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Industries
    Software Development

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