This role is designed for a seasoned leader with at least 8 years of experience in AI and Machine Learning who has successfully managed both engineers and other
Work type: remote
Location: NAMER | EMEA
Salary: $280,300 – $420,500/yr
Type: Full-time
This role is designed for a seasoned leader with at least 8 years of experience in AI and Machine Learning who has successfully managed both engineers and other managers. The ideal candidate isn't just a technical expert; they are a strategic partner who can bridge the gap between complex ML modeling and tangible business value. You should be comfortable navigating the "build vs. buy" landscape and leading the end-to-end lifecycle of ML products within a modern stack. The position offers a highly competitive salary range ($280k–$420k) and exceptional remote flexibility across North America, EMEA, and APAC. You’ll be joining a company that doesn't just "do" AI but is fundamentally reshaping how work is automated. The focus here is on pragmatic delivery—balancing high-end R&D with stable, reusable data products that empower the entire organization. **You might be a good fit if you:** * Have a track record of scaling MLOps/LLMOps pipelines and deploying models into production at scale. * Prioritize "shipping what works" over chasing academic perfection. * Enjoy coaching managers and engineers to help them navigate career growth and stakeholder management. * Are proficient with a modern data stack involving Databricks, AWS, Python, and Kafka.
## AI at Zapier
At [Zapier](https://zapier.com/about), we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently.
Check out our guidance on [How to Collaborate with AI During Zapier’s Hiring Process](https://zapier.com/l/jobs/ai-at-zapier), including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to.
Job posted: 2/20/2026
Location:North America, Europe, the Middle East, and Africa (Preferred Time Zone EST, PST, CST, MST)
[List of countries we can't hire from](https://docs.google.com/document/d/1VzesvLsgVG2RDRPtGvBF8CbcB9ZA-Hsddg0P2ildBb8/edit)
# Hi there!
Are you ready to lead a dynamic and innovative team at the forefront of AI and Machine Learning? We’re thrilled to invite you to join the Data team at Zapier as a Senior Manager, Machine Learning & AI.
You’ll play a critical role in shaping our AI & ML strategy, guiding the development and deployment of cutting-edge models, platforms, and tools, and empowering teams across Zapier to leverage AI & ML effectively. Your leadership will be instrumental in scaling our AI/ML capabilities and outcomes—balancing platform enablement work (that helps product teams build with AI/ML faster and more safely) with applied delivery work (that ships high-impact AI/ML solutions directly and through reusable AI/ML data products). You’ll partner closely with senior leaders across Product and Engineering to ensure our AI/ML investments deliver tangible business value and align with our overall company goals.
Zapier is a fast-growing and remote-first company, so you’ll get experience on many different projects to support our stakeholders. Here are some things you might get to help our teams with:
• Lead and manage teams of AI & Machine Learning Engineers to deliver high-impact AI/ML initiatives that drive business value and align with company goals.
• Own, execute, and iteratively evolve Zapier’s AI/ML strategy—ensuring our models, platforms, and tooling are scalable, reliable, and aligned with business needs, and continuously refining direction based on learnings, stakeholder input, and measurable outcomes.
• Coach and guide your teams in the development and deployment of machine learning models and AI-enabled systems, providing technical expertise and strategic direction while maintaining a high bar for safety, reliability, and cost-effectiveness.
• Collaborate with cross-functional teams to identify opportunities for AI/ML to enhance our products and services, and to drive the integration of AI capabilities across the organization—whether through direct engagements with product teams or by enabling product teams via shared platforms and tools.
• Foster a culture of innovation within the AI/ML org, encouraging experimentation and the adoption of new technologies and methodologies while keeping delivery pragmatic and value-focused.
• Communicate AI/ML strategy, tradeoffs, and results with clarity—aligning stakeholders, accelerating decisions, and making measurable progress visible across the company.
• Design and continuously run the operating rhythms that keep AI/ML execution predictable -regular prioritization and roadmap alignment, clear quality and launch bars, and tight cross-team coordination - so we consistently ship near-term wins while compounding long-term leverage through reuse and enablement.
Our stack is best summed up by: Databricks, AWS(S3), Python/ Typescript, Kafka.
## How to Apply
At Zapier, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We're looking for the best fit for each of our roles, regardless of the type of companies in your background, so we encourage you to apply even if your skills and experiences don’t exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional.
Education is not a requirement for our roles; however, if you receive an offer, you will need to include your most recent educational experience as part of our background check process.
After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to never go more than seven days without letting you know the status of your application. We know we’ll make mistakes from time to time, so if you ever have questions about where you stand or about the process, just ask your recruiter!