ML Delivery Manager (Consultant/Professional Services)

We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

(This role can be remote or hybrid role based in New York City or Redwood City or Redwood City + San Francisco) 

As a ML Delivery Manager, you will be instrumental in overseeing the successful execution and delivery of machine learning use cases to our enterprise customers. This role requires a blend of strong project management skills, technical aptitude, and excellent communication abilities to effectively navigate projects from conception to completion. Working in a professional services capacity, you will collaborate with internal and external data scientists and machine learning engineers, business leaders, and account teams to deliver positive business impacts for our strategic customers via machine learning use cases.

Main Responsibilities

  • Serve as the primary point of contact for machine learning projects throughout the delivery lifecycle, leading meetings, providing regular updates, addressing concerns, and managing expectations.
  • Develop and manage comprehensive project plans and other artifacts to ensure successful project delivery within scope and on schedule.
  • Proactively identify and mitigate risks and issues, ensuring that potential roadblocks are addressed promptly and effectively.
  • Demonstrate technical aptitude to understand the complexities of machine learning use cases and communicate effectively with both technical and non-technical stakeholders.
  • Navigate ambiguity and uncertainty with ease, adapting quickly to change and identifying paths to resolve uncertainty.
  • Collaborate closely with internal stakeholders including sales, product, customer success, and engineering teams to ensure successful delivery of use cases, supporting the overall customer success strategy.
  • Improve Snorkel’s end-to-end delivery through incorporation of learnings and customer feedback into delivery processes.

Minimum Qualifications

  • 4+ years experience working in a customer-facing role, e.g., management consultant, technical consultant, or technical project manager.
  • 2+ years experience as a lead project manager, preferably in a technology or consulting environment.
  • Influential presence in front of customers, strong presentation and communication skills and the ability to become a trusted advisor.
  • Exceptional organizational skills and attention to detail, with the ability to manage multiple projects simultaneously.
  • Action-oriented with the ability to cut through uncertainty and bring clarity to teams and projects.
  • B.S. degree in Business Administration, Engineering, or comparable degree/experience.
  • Travel up to 20% based on customer needs.

Preferred Qualifications

  • Previous experience working on machine learning projects or industry knowledge of standard and emerging technologies in the machine learning space.
  • Experience working at a B2B software company.
  • Strong desire to help people solve problems with the ability to explain complex technical concepts to a broad audience and influence internal and external stakeholders through strong interpersonal skills.
  • Consultative skills including the ability to work as a trusted partner to a customer, taking into account their business objectives and appropriately tailoring approaches.
  • Passion or interest in expanding knowledge of machine learning use cases including predictive and generative AI in the enterprise.



Be Your Best At Snorkel
Snorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. We work at the frontier of AI and software engineering, and believe that underrepresented communities need to play a part in shaping the future of these fields. At Snorkel AI, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth.
Snorkelers are supported by an amazing team and an amazing set of benefits. We offer comprehensive medical, dental, and vision plans for Snorkelers and their families, plus a yearly wellness stipend. Our 401k program lets Snorkelers plan for their future and our parental leave program lets new parents take up to 20 weeks of paid time off. Learn more about these benefits and more — like our workstation setup allowance — on our Careers page.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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