Applied AI Engineer, Ops

AlloyNew York, NY
$150,000 - $180,000Hybrid

About The Position

Alloy is looking for an Applied AI Engineer to sit within our centralized Ops team and drive meaningful AI transformation across the entire business. This is a high-impact, cross-functional role for someone who loves finding inefficiencies, designing elegant solutions, and enabling people to work smarter. You'll be the connective tissue between cutting-edge AI capabilities and the practical, day-to-day needs of our teams — identifying where automation and AI can reduce toil, accelerate workflows, and unlock capacity for higher-value work. Alloy operates in a hybrid-work environment. We look to foster collaboration and community by having our local employees onsite three days a week.

Requirements

  • Hands-on experience building with LLMs and AI APIs (e.g. OpenAI, Anthropic, etc.) in production environments
  • Strong engineering fundamentals — comfortable writing clean, maintainable code in Python or similar
  • Experience with workflow automation tools (e.g. Zapier, Make, n8n, or custom-built pipelines)
  • A business-minded approach: you think about ROI and impact, not just technical elegance
  • Excellent communication skills — you can explain complex AI concepts to non-technical stakeholders and bring people along on the journey
  • Comfort with ambiguity and a bias toward shipping

Nice To Haves

  • Experience in an ops, revenue operations, or business systems role
  • Familiarity with data tooling (SQL, dbt, etc.)
  • Background in a fast-growing startup environment

Responsibilities

  • Identify high-impact automation and AI opportunities across the business, prioritized against strategic goals
  • Design, build, and deploy AI-powered solutions — from lightweight automations to more sophisticated LLM-based workflows
  • Partner with teams across Alloy to understand their pain points and translate them into scalable technical solutions
  • Champion and enable AI adoption across the organization — running enablement sessions, building internal tooling, and helping teams become more self-sufficient
  • Establish best practices, tooling standards, and frameworks for how Alloy builds and evaluates AI solutions
  • Operate the internal stack like a product, running experiments, creating feedback loops, and continuously improving productivity across the whole organization.
  • Measure the impact of what you ship and continuously iterate

Benefits

  • Unlimited PTO and flexible work policy
  • Employee stock options
  • Medical, dental, vision plans with HSA (monthly employer contribution) and FSA options
  • 401k with 100% match up to 4% of annual employee compensation
  • Eligible new parents receive 16 weeks of paid parental leave
  • Home office stipend for new employees
  • Annual Learning & Development annual stipend
  • Well-being benefits include access to ClassPass, OneMedical, UrbanSitter, and Spring Health
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service