Director of Engineering co-leading Lazer’s AI-powered forward-deployed engineering team. Guiding architecture, talent, client engagements, AI standards, and technical delivery at a digital product studio.
Responsibilities
Co-own the AI engineering team of roughly 30 forward deployed engineers alongside existing engineering leaders
Own team health and happiness through regular 1:1s and early intervention on disengagement, burnout, and bench frustration
Run performance reviews against the FDE rubric
Develop the team through training sessions, playbooks, checklists, pairing, and internal writeups
Define and maintain baseline AI competency standards
Codify best engineering practices and distill field learnings into reusable patterns
Track engagement health across the portfolio and surface delivery and client-relationship risks
Review architectures and pressure-test technical approaches
Guide evaluation strategy, instrumentation, and impact measurement
Step onto engagements as technical lead when needed
Partner with talent on sourcing, hiring-manager screens, interviewer calibration, and the technical bar
Staff engagements based on skill, growth, and client fit while balancing utilization and development
Support scoping and pre-sales conversations
Act as senior escalation point for clients and partners
Requirements
10+ years of engineering experience
3+ years directly managing senior engineers, including hiring, performance management, and difficult conversations
Experience leading teams of 15+ engineers across concurrent projects or engagements
Ability to read architectures, identify flaws, and propose improvements
Strong full-stack experience with TypeScript, React, Node.js, and Python or Go
Proven experience building and shipping production agentic applications with orchestration and tool-calling patterns
Experience setting up evaluation harnesses and testing infrastructure for agentic applications using real prompts and business metrics
Familiarity with MLOps or LLMOps, including monitoring, guardrails, and human-in-the-loop design
Experience with at least one major cloud provider: GCP, AWS, or Azure
Practical AI-native use of coding agents, harnesses, and workflows
Consulting, agency, or forward deployed engineering experience
Ability to manage client expectations and timelines
Track record of developing people through training, onboarding, or mentorship structures
Comfort operating in ambiguity and making decisions independently
Exceptional communication across executives, staff engineers, and written updates
Nice to have: enterprise experience in financial services, healthcare, or retail
Nice to have: experience scaling forward deployed engineering, solutions engineering, or professional services teams
Nice to have: AI enablement or developer productivity program experience
Nice to have: founder, CTO, or early venture-backed startup experience
Nice to have: LLM fine-tuning experience
Nice to have: Kubernetes and container orchestration familiarity
Nice to have: scalable data pipeline or data lake design experience
Nice to have: relevant certifications, open-source contributions, or technical publications
Benefits
Competitive compensation
Unlimited PTO
Work from anywhere / flexible workspace
Full healthcare, dental, and vision benefits
401(k) for US employees
Regular team retreats
Company vacations
Regular events
Professional growth across multiple industries and cutting-edge projects
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