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Engagement Manager - Data as a Service

Snorkel AI

New York, NYRemoteFull-time$135–175K/yrPosted 3mo agoVerified open 3 days ago

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At a glance

Compensation
$135–175K/yr
Location
New York, NYRemote
Schedule
Full-time
Work Authorization
Not specified

Job overview

Snorkel AI is hiring an Engagement Manager - Data as a Service. Snorkel AI seeks an Engagement Manager for its Data-as-a-Service team to own post‑sale outcomes, drive adoption, consumption and revenue realization, and build multi‑threaded enterprise relationships while collaborating across sales, delivery, product and engineering.

Key focus areas include Own post‑sale customer outcomes including adoption, consumption and revenue realization, Drive ongoing consumption of contracted datasets, and Build deep multi‑threaded relationships across customer organizations.

Successful candidates bring 5+ Years Customer Success Or Account Management Experience and Travel Up To 20%. Important skills include Customer Focus, Ownership Over Outcomes, Managing Complex Accounts, Navigating Ambiguity, Collaboration, and Building Long-Term Partnerships. Preferred (not required): AI/ML Workflows, Data Annotation, Data Infrastructure, and Driving Net Revenue Retention.

Skills & qualifications

RequiredNice to have

Skills

Customer FocusOwnership Over OutcomesManaging Complex AccountsNavigating AmbiguityCollaborationBuilding Long-Term PartnershipsDriving Customer AdoptionDriving ConsumptionDriving ExpansionBuilding RelationshipsManaging Delivery ProgramsCommunicationInterpersonal SkillsTechnical Aptitude in DataTechnical Aptitude in AI/MLProblem SolvingOperating in Fast-Paced EnvironmentFamiliarity With Usage-Based Business ModelsFamiliarity With Consumption-Driven Business ModelsAI/ML WorkflowsData AnnotationData InfrastructureDriving Net Revenue RetentionCustomer AdoptionConsumption DrivingExpansion DrivingComplex Account ManagementTechnical AptitudeData AptitudeAI/ML AptitudeRelationship BuildingRisk IdentificationValue CommunicationUsage Trend CommunicationGrowth Opportunity CommunicationNet Revenue RetentionCustomer SuccessAccount ManagementConsultingPartnering With SalesManaging Complex Delivery ProgramsManaging Enterprise AccountsCustomer ConsumptionCustomer ExpansionEngaging Technical StakeholdersProactive Problem SolvingUsage-Based Business ModelsConsumption-Driven Business ModelsDriving Expansion MetricsDriving Customer ConsumptionDriving Customer ExpansionAI/ML KnowledgeProgram ManagementAmbiguity NavigationFast‑Paced Environment AdaptabilityUsage‑Based Business Model FamiliarityEnterprise Account ManagementData Annotation ExperienceData Infrastructure ExperienceExcellent CommunicationCollaboration With SalesNet Revenue Retention ExperienceAI/MLDataTechnical Aptitude in Data AI/MLComplex Delivery Program ManagementStakeholder ManagementDelivery Program ManagementNavigate AmbiguityFast-Paced EnvironmentConsumption ManagementRevenue RealizationFast‑Paced Environment OperationPost‑Sales RoleSales PartnershipPost‑SalesProject ManagementNet Revenue Retention MetricsFast-Paced Environment AdaptationUsage‑Based Consumption Models FamiliarityMulti‑Threaded Relationship BuildingPartnering With Sales Account ExecutivesNet Revenue Retention DrivingExpansion Metrics ManagementAI/ML Technical AptitudeTechnical Stakeholder EngagementDelivery ManagementData Consumption KnowledgeAI/ML Workflow ExperienceInterpersonal

Qualifications

5+ Years Customer Success, Account Management, Consulting or Related Post-Sales ExperienceWillingness to Travel Up to 20% Based on Customer Needs

Full job description

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.

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