Engagement Manager - Data as a Service
Snorkel AI · New York City, NY (Hybrid)
- Location
- New York City, NY (Hybrid)
- Workplace
- Remote
- Level
- Manager
- Posted
- 4 months ago
About this role
About Snorkel
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, 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!
About the Team
The Data-as-a-Service Engagement Management team sits at the center of Snorkel AI’s DaaS business, partnering with leading AI labs and enterprises to deliver high-quality datasets that power frontier AI systems, and reports into the GM of the business. The team is responsible for driving customer adoption, consumption, and expansion, working closely with Sales, Delivery, Product, and Engineering.
About the Role
As an Engagement Manager, DaaS, you will own customer outcomes and revenue realization across your accounts. You are responsible for driving consumption of DaaS offerings and ensuring booked revenue is recognized. You will serve as the primary point of contact for enterprise customers, building strong relationships and guiding them from pilot through production. In close partnership with Account Executives, you will drive expansion and long-term account growth. This role blends customer success, commercial partnership, and delivery oversight - you are accountable for both successful delivery and sustained customer value.
About You
You are a customer-focused operator with strong ownership over outcomes. You’re comfortable managing complex accounts, navigating ambiguity, and working cross-functionally to drive both customer success and business growth. You bring experience working with enterprise customers in technical or data-driven environments and are motivated by building long-term, high-impact partnerships.
Responsibilities
- 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
Bonus points for:
- Experience working with AI/ML workflows, data annotation, or data infrastructure
- Experience driving net revenue retention (NRR) or expansion metrics in enterprise accounts
All offers include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly - offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
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.
As published by Snorkel AI. Applications are handled on their site.
Skills this posting mentions
About Snorkel AI
Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine platform technology with research-driven data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Snorkel led the development of Senior SWE-Bench and launched Open Benchmarks Grants with a $3 million commitment to support open-source datasets, benchmarks, and evaluation research. Supported projects include Agents’ Last Exam, OSWorld 2.0, Terminal-Bench, Continual Learning Bench, and SlopCode Bench. Learn more at snorkel.ai or follow @SnorkelAI.
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02I rank the openings
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