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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.
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.
This is a rare opportunity to join at a genuine inflection point and make an immediate impact.
Job: Solutions Architect / Post Sales Field Engineer
What you’ll do
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
What you’ll bring
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
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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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.