Alloy Enterprises
Applied AI Engineer, Ops
New York City
Sponsorship not specified$150k-$180kDetected 5 days ago
PythonSpringSQLdbtLLMsCommunicationCollaboration
About the role
- 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.
Responsibilities
- 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
- Hands-on experience building with LLMs and AI APIs (e.g. OpenAI, Anthropic, etc.) in production environments
Requirements
- Experience with workflow automation tools (e.g. Zapier, Make, n8n, or custom-built pipelines)
Nice to have
- Experience in an ops, revenue operations, or business systems role
- Familiarity with data tooling (SQL, dbt, etc.)
- Background in a fast-growing startup environment
- You'll have a rare combination of autonomy and breadth - working across every team at Alloy, with a direct line to business impact.
- This isn't a role where you'll be handed a backlog.
- We're a lean team, so your impact will be felt immediately, and opportunities will grow as the company scales up.
- If this all sounds like a good fit for you, why not join us?
- Alloy is committed to fair and equitable compensation practices.
Skills
- 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
Compensation
- 401k with 100% match up to 4% of annual employee compensation
Benefits
- Unlimited PTO and flexible work policy
- Employee stock options
- Medical, dental, vision plans with HSA (monthly employer contribution) and FSA options
- 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
Company info
- Be Bold, Go Fast, Collaborate, and Celebrate Our Differences, we are creating a workplace where you can grow, thrive, and belong.
- See how we've been continuously recognized and named one of Inc.Magazine's Best Workplaces, Forbes America's Best Startup Employers, Best Fintech to Work for by American Banker, year after year.
- Check out our investors and read more about us here.
- Identify high-impact automation and AI opportunities across the business, prioritized against strategic goals
- 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
- Strong engineering fundamentals - comfortable writing clean, maintainable code in Python or similar
- employees are expected to work Tuesdays through Thursdays from our HQ in Union Square, Manhattan.
Equal opportunity
- We're committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.
Visa & Work Authorization
- r, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status
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This listing is sourced directly from Alloy Enterprises's careers page and normalized into a canonical job model.