Job Description
We’re partnering with one of the most exciting names in AI-powered developer tooling, helping scale their global post-sales function as they enter their next phase of hypergrowth.
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Having gone from $0 to $100M ARR in just 18 months while scaling headcount 5x, they’re at the forefront of the AI transformation of software development.
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This is a rare opportunity to join at a genuine inflection point and make an immediate impact.
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Job: Solutions Architect / Post Sales Field Engineer
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Location: San Francisco (Hybrid)
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What you’ll do
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- Own technical onboarding and implementation for enterprise customers, from kickoff through successful deployment
- Translate customer requirements into practical implementation plans, configurations, and best practices
- Configure and optimize integrations across developer workflows, CI/CD pipelines, and cloud environments
- Lead technical trainings, workshops, and enablement sessions to drive adoption
- Run configuration and architecture reviews to improve performance, usage, and long-term value
- Own complex technical escalations, partnering with Support, Product, and Engineering to resolve issues quickly
- Identify opportunities to improve customer outcomes, adoption, and platform usage
- Bring customer feedback, technical challenges, and feature requests directly to Product and Engineering
- Partner closely with Pre-Sales to ensure a seamless handoff from evaluation through implementation and ongoing success
- Build internal playbooks, documentation, and best practices to scale the customer experience
- Stay current on AI-powered development, developer tooling, cloud, and emerging technologies
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What you’ll bring
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- 5+ years in a customer-facing technical role, with 2+ years in a fast-paced startup or high-growth environment
- Strong experience owning enterprise onboarding, implementation, or post-sales technical engagements
- Technical depth across software development tools, platforms, and modern engineering workflows
- Comfortable working from the command line, troubleshooting issues, and debugging technical problems
- Experience with AWS, GCP, or Azure
- Ability to work confidently with both technical teams and senior business stakeholders
- Strong project management and organizational skills across multiple customer engagements
- Excellent communication skills with a high level of ownership and initiative
- A problem-solving mindset and genuine focus on customer outcomes
- Willingness to mentor teammates and share technical knowledge through training and collaboration
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Bonus points
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- Experience with Kubernetes, Terraform, GitHub Actions, or similar cloud-native and DevOps tooling
- Experience supporting production environments and managing technical escalations
- Experience designing, reviewing, or troubleshooting enterprise system architectures
- Experience with AI, developer tooling, code quality, or software engineering platforms
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