
51 - 200 employees
đź Consulting
đŁ Marketing
đď¸ eCommerce
Consulting ⢠Marketing ⢠eCommerce
Lazer Technologies is a company specializing in building world-class digital products, with a strong focus on engineering within the Shopify ecosystem. They collaborate with a wide range of clients, including many startup companies that have raised significant funds, to deliver high-quality engineering solutions efficiently and effectively. The company prides itself on its ability to simplify complex projects, adhere to timelines, and immerse itself within client teams to ensure success.
đ August 12
đ Canada, United States â Remote
â° Full Time
đ´ Lead
đĽ Software Engineer
đť Ghost score 13%
Where this job comes from
Posted on Lazer Technologies's careers page, not through a job board
First seen by Remote Rocketship August 12
Still open on Lazer Technologies's site. Checked 6 hours ago.

51 - 200 employees
đź Consulting
đŁ Marketing
đď¸ eCommerce
Consulting ⢠Marketing ⢠eCommerce
Lazer Technologies is a company specializing in building world-class digital products, with a strong focus on engineering within the Shopify ecosystem. They collaborate with a wide range of clients, including many startup companies that have raised significant funds, to deliver high-quality engineering solutions efficiently and effectively. The company prides itself on its ability to simplify complex projects, adhere to timelines, and immerse itself within client teams to ensure success.
⢠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
⢠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
⢠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 ⢠Continuous learning and knowledge sharing ⢠Minimal meetings and real autonomy
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