Field Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Field Engineer (AI/DevOps): Driving adoption of the Develocity toolchain observability platform and building technical demos for enterprise customers with an accent on AI-powered intelligence and SDLC observability. Focus on creating rapid prototypes, integrating LLM-based tooling into product strategy, and bridging the gap between customer needs and product evolution.
Location: Remote from anywhere in North America
Salary: $160,000 - $210,000
Company
builds Develocity, an AI-native toolchain observability and intelligence platform used by leading software organizations to achieve delivery excellence.
What you will do
- Partner with the AI strategy team to implement AI-driven toolchain observability using Develocity's data.
- Evaluate the impact of LLMs, coding agents, and agentic workflows on the software supply chain.
- Serve as the technical expert in customer engagements, creating tailored demos and rapid prototypes.
- Collaborate with Product Management to translate customer insights into product roadmap inputs.
- Develop go-to-market content, product positioning, and training for Sales and Marketing teams.
- Travel to customer sites and events (approximately 20% of the time).
Requirements
- 10+ years of experience in Field Engineering, Platform Engineering, Solutions Engineering, or Technical Consulting for enterprise environments.
- Hands-on experience as a software engineer.
- Hands-on experience building or integrating AI-powered products, agentic workflows, or LLM-based tooling.
- Must be based in North America.
- Ability to prioritize complex activities autonomously in the interest of Sales and Product teams.
Nice to have
- Familiarity with build tools such as Maven, , Android, Bazel, npm, or Python tools.
- Experience with CI/CD tooling (Jenkins, GitLab, GitHub Actions, Harness, ArgoCD).
- Knowledge of container technologies including Docker, Kubernetes, and OpenShift.
- Experience with artifact repositories (Artifactory, Nexus) and observability tools (Datadog, Splunk).
Culture & Benefits
- Remote-first environment with flexible working hours.
- Direct impact on the intersection of AI and developer tooling.
- Competitive salaries and equity grants.
- Annual company offsites in international locations (e.g., France, Spain, Italy).
- Opportunity to work on a fast-growing product within the Developer Productivity Engineering industry.
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