Engagement Manager – Data as a Service

🕒 May 1

🏢🏡 New York City – Hybrid

💵 $140k - $230k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👔 Manager

🦅 H1B Visa Sponsor

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Logo of Snorkel AI

Snorkel AI

WebsiteLinkedIn

51 - 200 employees

Founded 2019

🤖 Artificial Intelligence

💸 Finance

⚕️ Healthcare Insurance

Artificial Intelligence • Finance • Healthcare Insurance

Snorkel AI is an innovative platform that specializes in providing expert-level training and evaluation data tailored for machine learning models. Their service, known as Expert Data-as-a-Service, enables organizations to create high-quality datasets for AI applications, significantly accelerating model delivery and enhancing accuracy. Founded from research at Stanford, Snorkel partners with leading AI companies to push the boundaries of AI capabilities across various sectors, including finance and healthcare.

📋 Description

• Own post-sale customer outcomes, including adoption, consumption, and revenue realization across assigned DaaS accounts • Drive ongoing consumption of contracted datasets, ensuring bookings are converted into recognized revenue • Build deep, multi-threaded relationships across customer organizations, including technical, operational, and executive stakeholders • Partner closely with Account Executives to identify, shape, and progress expansion opportunities • Lead customer engagements from project kick-off through ongoing production, ensuring alignment on goals, timelines, and success criteria • Manage delivery of complex datasets with the Delivery team, meeting quality, scope, and SLA expectations while proactively identifying risks • Communicate value delivered, usage trends, and growth opportunities to both technical and non-technical audiences • Act as the voice of the customer internally, collaborating with Delivery, Product, and Engineering to resolve issues and improve processes • Develop a strong understanding of customer workflows and data consumption patterns to proactively identify opportunities for increased adoption and expanded use cases

🎯 Requirements

• 5+ years of experience in customer success, account management, consulting, or a related post-sales role in a technical or data-driven environment • Excellent track record of managing enterprise accounts and driving customer adoption, consumption, and expansion • Experience partnering closely with Sales or Account Executives in a shared ownership model of account growth • Strong ability to manage complex delivery programs while maintaining focus on customer outcomes and business impact • Excellent communication and interpersonal skills, with the ability to engage both technical and non-technical stakeholders • Technical aptitude in data, AI/ML, or related domains • Ability to navigate ambiguity, solve problems proactively, and operate effectively in a fast-paced environment • Familiarity with usage-based or consumption-driven business models • Willingness to travel up to 20% based on customer needs

🏖️ Benefits

• All offers include equity in the form of employee stock options

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