Lead implementation engagements end-to-end. Run our multi-week implementation support program — from kickoff (requirements gathering, use case selection, success criteria definition) through weekly implementation sessions to wrap-up (outcome review, ROI validation, expansion planning).
Architect agent workflows with customers. Help enterprise teams design agent architectures for their specific use cases — selecting agent triggers, configuring sandboxed environments, and structuring multi-step agent workflows.
Build alongside customers. Write and iterate on agent prompts, skills, and configurations. Set up environments, secrets, MCP servers, and integrations. Debug agent runs using session sharing and observability tools.
Guide self-hosted deployments. For enterprises running agents on their own infrastructure, help configure self-hosted workers, Docker daemon connectivity, private registries, and task routing.
Develop reusable implementation patterns. Document architecture patterns, reference implementations, and best practices that accelerate future deployments. Contribute to the Oz skill and template ecosystem.
Be the voice of the customer to Product and Engineering. Surface implementation friction, feature gaps, and common pain points. Translate customer needs into actionable product feedback that shapes the Oz platform roadmap.
Provide ongoing technical support. Respond to customer questions via Slack with same-business-day SLA. Troubleshoot agent failures, environment issues, and integration problems.

Requirements

You have 3+ years of experience in implementation engineering, solutions engineering, forward-deployed engineering, or a similar customer-facing technical role.
You have a strong software engineering background — you're comfortable writing production-quality code, debugging distributed systems, and working across the stack.
You have experience with Docker, CI/CD pipelines, cloud infrastructure (understanding of container orchestration, image management, and deployment patterns), Kubernetes, Linux, and cloud providers (AWS, GCP, Azure).
You're familiar with AI/LLM concepts — prompt engineering, agent architectures, tool use, and evaluation of non-deterministic systems.
You have experience working with developer tools, DevOps platforms, or infrastructure software.
You can manage multiple concurrent customer engagements while maintaining high quality and clear communication.
You have excellent communication skills — you can explain complex technical concepts clearly to both engineering leads and executive stakeholders.

Benefits

Competitive Salary & Meaningful Equity – we will stretch to get the right talent on board
Full Medical, Dental, and Vision Benefits for employees (80% coverage for dependents)
Flexible remote-first culture, with optional office spaces in NYC and SF for folks who want to work together IRL
Pre-tax FSA Health Savings Plan
Pre-tax Commuter Benefit
20-days of Paid Time Off
Unlimited Sick Time Off
12 US Holidays
16 weeks of paid Parental Leave for both birthing and non-birthing parents
Twice-a-year company retreats
Monthly gym and internet stipend
Guideline 401(k)
Complimentary OneMedical membership

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

implementation engineeringsolutions engineeringproduction-quality codedebugging distributed systemsDockerCI/CD pipelinesKubernetesLinuxcloud infrastructureAI/LLM concepts

Soft Skills

customer-facingclear communicationmanaging multiple engagementstechnical supporttroubleshootingdocumenting best practicestranslating customer needscollaborationproblem-solvingvoice of the customer