Role Description Reporting to the VP, Revenue Operations and partnering closely with our Systems and Strategy & Operations teams, the Director, Revenue Analytics & AI Transformation will serve as the semantic layer of our AI-native RevOps organization. This role will be responsible for building the unified data models and AI transformation strategy that power decisions from individual contributors to the executive team. This is a full-time, fully remote role leading a small, highly technical team as a hands-on player-coach. NYC is preferred for this role, but we are open to considering remote candidates. Travel is limited, with occasional trips (approximately quarterly) for team and company offsites. - Architect and own the unified semantic and data layer that underpins Revenue Operations — the single source of truth connecting Sales, Marketing, Customer Success, and Finance data. - Define and drive the AI transformation strategy for Revenue Operations, identifying where AI and automation can meaningfully improve GTM efficiency, forecasting, and decision-making. - Build and lead a small, highly technical team of data/analytics engineers, operating as a true player-coach who still writes code and ships models personally. - Design and maintain core data models, pipelines, and analytics products that deliver actionable insight across the revenue organization — from individual contributors to executives. - Partner closely with the Systems and Strategy & Operations teams to ensure data architecture, tooling, and process are tightly aligned across RevOps. - Evaluate, pilot, and deploy AI tools and vendors, staying ahead of the fast-moving AI landscape and translating emerging capabilities into practical, high-value use cases. - Establish data governance, quality standards, and documentation practices that scale as the organization grows. - Build executive-ready dashboards and analyses that inform revenue strategy and company-wide reporting. - Champion a "build fast, iterate faster" culture — rapidly prototyping and deploying solutions rather than waiting for a long, perfect build cycle. - Serve as a thought partner to Revenue leadership on how AI and modern data infrastructure can reshape the future of go-to-market operations. Qualifications - 10+ years of experience in data engineering, analytics engineering, or revenue/GTM analytics, including experience leading or building technical teams. - Deep hands-on expertise in data engineering and analytics engineering (e.g., SQL, dbt, modern data warehousing, ETL/ELT pipelines). - Proven experience designing and owning semantic and data models that serve multiple stakeholders, from analytics and BI to AI use cases. - Demonstrated experience leading AI adoption or AI-enabled transformation within a GTM or Revenue organization. - Strong, current knowledge of the AI vendor, tooling, and trends landscape, with the judgment to separate hype from real value. - A track record as a "player-coach" — someone who has built and led a small team while remaining deeply hands-on. - Experience partnering closely with Revenue/GTM systems and strategy & operations functions. - Excellent communication skills, with the ability to translate technical work into business impact for individual contributors and executives alike. - A scrappy, fast-moving builder mentality — comfortable shipping v1 solutions quickly and iterating. Requirements - Experience with B2B2C customers. - Experience in a high-growth SaaS or healthtech environment. - Familiarity with modern AI/ML tooling (LLM-based agents, copilots, automation platforms) applied to go-to-market use cases. - Hands-on experience with tools such as Salesforce, Clay, Snowflake or BigQuery, dbt, Looker or Tableau, and Python. - Prior experience at a company undergoing significant data infrastructure modernization. Benefits - Health, Dental, Vision benefits start on your first day at Spring. - Employer sponsored 401(k) match of up to 2% for retirement planning. - A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents. - Competitive paid time off policies including vacation, sick leave and company holidays. - At 6 months tenure with Spring, parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents. - Access to Noom, a weight management program tailored to your unique needs and goals. - Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses. - Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription. - Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care. - Up to $1,000 Professional Development Reimbursement a year. - $200 per year donation matching to support your favorite causes.

• Support the preparation, formatting, and assembly of proposals, RFP responses, presentations, and supporting sales materials. • Coordinate and manage the end-to-end RFP process, including intake, qualification, calendaring, compliance tracking, kickoff coordination, response collection, review cycles, and final submission support. • Help organize response plans, responsibilities, review cycles, and deadlines to keep proposal and RFP pursuits on track. • Maintain RFP schedules, requirements matrices, content trackers, and submission checklists to improve consistency, responsiveness, and quality control. • Coordinate content collection from internal stakeholders and help organize proposal inputs, deadlines, and version control. • Edit and proofread content to ensure clarity, consistency, accuracy, and adherence to brand standards. • Maintain proposal content libraries, templates, resumes, case studies, and standard response materials. • Assist with scheduling meetings, tracking deliverables, and monitoring proposal milestones. • Collaborate with sales, marketing, and solution teams to help produce polished, client-ready deliverables. • Support administrative and logistical tasks related to pursuits, client presentations, and business development initiatives. • Use applicable technology tools to manage documents, shared files, and production workflows efficiently.

• Operate autonomously to provide linguistic QA and develop alignment resources. • Reviewing, annotating, and testing AI outputs for grammatical accuracy, naturalness, and strict cultural context. • Acting as a primary quality check during production to proactively identify and correct subtle cultural errors or awkward phrasing in the Serbian language. • Analyzing task quality trends and autonomously developing educational resources and feedback documentation to increase alignment between AI task outputs and campaign expectations. • Providing native-level language vetting during project scaling and offering specialized linguistic consultation throughout the production phase.

• Operate autonomously to provide linguistic QA and develop alignment resources. • Data Annotation & Review: Reviewing, annotating, and testing AI outputs for grammatical accuracy, naturalness, and strict cultural context. • Quality Assurance & Vetting: Acting as a primary quality check during production to proactively identify and correct subtle cultural errors or awkward phrasing in the Punjabi language. • Resource Generation: Analyzing task quality trends and autonomously developing educational resources and feedback documentation to increase alignment between AI task outputs and campaign expectations. • Production & Vetting Support: Providing native-level language vetting during project scaling and offering specialized linguistic consultation throughout the production phase.