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\n\n(This role can be remote or hybrid role based in New York City or Redwood City or Redwood City + San Francisco) \n\nAs 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.\nMain Responsibilities\n\n\n* 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.\n\n* Develop and manage comprehensive project plans and other artifacts to ensure successful project delivery within scope and on schedule.\n\n* Proactively identify and mitigate risks and issues, ensuring that potential roadblocks are addressed promptly and effectively.\n\n* Demonstrate technical aptitude to understand the complexities of machine learning use cases and communicate effectively with both technical and non-technical stakeholders.\n\n* Navigate ambiguity and uncertainty with ease, adapting quickly to change and identifying paths to resolve uncertainty.\n\n* 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.\n\n* Improve Snorkel’s end-to-end delivery through incorporation of learnings and customer feedback into delivery processes.\n\n\n\nMinimum Qualifications\n\n\n* 4+ years experience working in a customer-facing role, e.g., management consultant, technical consultant, or technical project manager.\n\n* 2+ years experience as a lead project manager, preferably in a technology or consulting environment.\n\n* Influential presence in front of customers, strong presentation and communication skills and the ability to become a trusted advisor.\n\n* Exceptional organizational skills and attention to detail, with the ability to manage multiple projects simultaneously.\n\n* Action-oriented with the ability to cut through uncertainty and bring clarity to teams and projects.\n\n* B.S. degree in Business Administration, Engineering, or comparable degree/experience.\n\n* Travel up to 20% based on customer needs.\n\n\n\nPreferred Qualifications\n\n\n* Previous experience working on machine learning projects or industry knowledge of standard and emerging technologies in the machine learning space.\n\n* Experience working at a B2B software company.\n\n* 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.\n\n* Consultative skills including the ability to work as a trusted partner to a customer, taking into account their business objectives and appropriately tailoring approaches.\n\n* Passion or interest in expanding knowledge of machine learning use cases including predictive and generative AI in the enterprise.\n\n\n\n\n\n#LI-SH1\n\n \n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York City, New York, United States
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
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