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Spring Health

Connects employees with mental health care

AI Transformation Director - Revenue

Business OperationsConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$208k - $258.1k /yr

About the Job

Requirements

  • At least 8 years driving technology-enabled business transformation, including department-wide or enterprise-wide initiatives; at least 5 years leading complex implementations end to end; and at least 2 years implementing AI-enabled solutions.
  • Hands-on experience building and deploying AI-enabled workflows, including agents, copilots, or automation applied to go-to-market processes, connecting AI tools to business data and systems, and configuring repeatable workflows.
  • Experience working directly with Revenue or go-to-market teams, with an understanding of workflows such as lead management, sales execution, pipeline forecasting, and customer expansion.
  • Ability to work within CRM, revenue intelligence, and sales engagement platforms, understand their data and workflow capabilities, and implement improvements in partnership with systems owners.
  • Experience testing and maintaining AI solutions, including validating outputs against source data, troubleshooting failures, and establishing human review, monitoring, and appropriate data safeguards.
  • Strong business judgment, stakeholder management, and communication skills, with the ability to prioritize opportunities, influence senior leaders, drive cross-functional execution, and connect results to business impact.
  • Strong change management skills, with a track record of driving sustained adoption and creating documented workflows that teams can operate independently.

Responsibilities

  • Own and continuously refine a prioritized revenue AI transformation portfolio aligned with Revenue leadership’s strategy and business goals.
  • Work with leaders, process owners, subject-matter experts, and end users across Sales, Marketing, Customer Success, and Revenue Operations to understand workflows, constraints, and cross-functional handoffs; identify high-value AI opportunities and size their potential impact.
  • Map stakeholders and dependencies for each initiative, define decision rights and responsibilities, establish accountability, and drive execution across contributors.
  • Take priority initiatives from problem definition through build, pilot, rollout, adoption, and measurement, ensuring solutions become part of how revenue teams operate.
  • Prototype and configure AI-enabled workflows, evaluate tools and vendors, translate emerging capabilities into practical revenue use cases, validate early versions with users, and iterate based on evidence.
  • Partner with Revenue Operations, Systems, Strategy & Operations, and other relevant owners to resolve integration needs, information requirements, process changes, and implementation dependencies.
  • Determine the technology, operating model, resources, and ownership needed to deliver and sustain each initiative, including how teams will monitor performance, handle exceptions, and maintain solutions.
  • Apply company-wide AI standards within Revenue and define how solutions are evaluated for accuracy, reliability, risk, and return on investment; establish appropriate validation and human oversight before AI outputs inform consequential decisions or reach customers.
  • Define baseline performance and success measures, track outcomes and sustained adoption, and stop, redesign, or redirect initiatives that do not meet expectations.
  • Transition successful solutions into documented workflows that revenue teams can operate and improve independently; share reusable approaches across departments, contribute to company-wide AI priorities and standards, and escalate broader dependencies to the AI Transformation Office.
  • Embed AI into systematic, repeatable revenue workflows; validate AI outputs before they reach stakeholders or customers and identify logical gaps, inaccuracies, and risks; seek emerging best practices; develop workflows that increase revenue-team effectiveness and cross-functional execution; and document workflows for teams to operate and maintain independently.

Desired Qualifications

  • Experience in a high-growth SaaS or healthtech environment.
  • Experience with B2B2C business models.

About the Company

Spring Health

Connects employees with mental health care

Spring Health connects employees and health plan members with mental health care through a digital platform and clinician network. Members complete an assessment, receive care recommendations and arrange services such as therapy, coaching or medication management. Care navigators guide members through their options, while digital tools support engagement and progress tracking between appointments. Employers and health plans pay for platform access and clinical services under contracts, and receive aggregated reporting on use and outcomes rather than private session notes. Spring Health was founded in 2016 and is headquartered in New York City.

Company size
1,001-5,000
Company stage
Series E
Total funding
$465M
Headquarters
New York City, New York
Founded
2016

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