Spring Health

Business Development Rep

• Help develop outreach strategy, content, in-bound lead process, and development programs for the BDR team
• Prospect into Fortune 1000 companies and other employers through a combination of email, phone call, and other sales channels
• Generate sales-ready meetings and opportunities for Account Executive using Spring Health’s qualification criteria
• Provide accurate lead distribution and thorough discovery to the assigned Account Executive
• Develop all of the critical skills to accelerate a successful career in Sales

Business Development Representative

Data Scientist

• Lead and develop a team of data scientists working on utilization forecasting and care routing optimization
• Define and execute the data science roadmap supporting forecasting accuracy, experimentation, and decision systems
• Build and productionize forecasting models that predict care utilization across customer lifecycle stages
• Develop and iterate on routing algorithms and experimentation frameworks to influence member care pathways
• Partner with Product and Engineering to translate models into scalable, real-time systems
• Collaborate with Actuarial and Finance teams to align forecasts with pricing assumptions and business targets
• Design and analyze experiments to evaluate interventions that shift member behavior and care utilization
• Establish monitoring systems to detect deviations in utilization trends and trigger interventions
• Communicate insights, risks, and trade-offs clearly to senior stakeholders
• Ensure high standards for model quality, documentation, and reproducibility

Manager, Data Science, Forecasting – Routing

Customer Success Manager

• Serve as an account owner, product expert and mental health advocate for your assigned Mid-market and SMB customers.
• Build rapport with decision makers and main points of contact to influence change in order to drive the adoption of best practices and successful change management methodologies, thereby driving optimal member utilization of the product.
• Own the full customer lifecycle including onboarding, value realization, engagement strategies, expansion and renewal.
• Creatively discover, communicate, and support the execution of new opportunities for customers to unlock value from Spring Health.
• Business review creation and presentation to senior HR executives and business leaders including insightful, data-based recommendations.
• Collaborate across departments to deliver essential customer feedback, aiming to enhance processes and elevate the patient experience.
• Participate in ongoing weekly team meetings and training to continue to enhance product knowledge.
• Assist sales team with finalist calls and provide customer references as needed.

Product Manager

• Own the roadmap for the AI Trust & Safety pod, prioritizing and driving investments to continually improve safety across AI experiences in the Spring Health platform.
• Define a strategy to leverage data to improve performance of AI systems
• Shape and evangelize the standards for what “safe and effective AI” means in Spring Health’s context
• Define operational approval gates for AI features before they’re deployed in production
• Partner with ML engineers and data scientists to scope and prioritize technical work that enables AI safety & trust

Senior Product Manager, AI Trust – Safety

Business Analyst

• Own forecasting of inbound volume to the Care Support, Clinical Operations, and Provider Operations departments, broken down by channel and request category.
• Develop and manage dynamic workforce management models to balance member and provider satisfaction, while enabling scenario analysis.
• Translate complex analytics into actionable insights to drive operational efficiency and resourcing decisions.
• Serve as a strategic partner to Operations leadership, providing guidance on resourcing decisions and capacity planning.
• Act as the primary liaison for Operations workforce optimization in cross-functional initiatives, collaborating with teams such as Product, Marketing, and Customer Success.
• Own the tooling stack for workforce management, ensuring our vendor spend is optimized.

Senior Business Analyst, Workforce Optimization

Executive Assistant

• Proactively support executive leaders by managing calendars, priorities, meeting preparation, and follow-up.
• Coordinate complex scheduling across internal and external stakeholders, including interviews, leadership meetings, and cross-functional forums.
• Prepare leaders for upcoming meetings by organizing agendas, materials, briefing notes, and relevant context in advance.
• Track action items, deadlines, and follow-ups to ensure work moves forward and nothing falls through the cracks.
• Serve as a trusted point of contact between leaders and internal/external stakeholders, handling communications with professionalism, discretion, and urgency.
• Manage meeting logistics for recurring leadership forums, team meetings, onsite/offsite events, and department-wide gatherings.
• Support the planning and execution of department All Hands meetings and other leadership forums, including agendas, materials, logistics, and follow-through.
• Arrange domestic and international travel, including flights, accommodations, ground transportation, itineraries, and visas when needed.
• Draft, proofread, and edit business documents, including emails, memos, agendas, presentations, and meeting notes.
• Organize and maintain confidential information, documents, and team resources so they are accurate, accessible, and easy to navigate.
• Process expenses and reimbursements in a timely and accurate manner.
• Use AI tools thoughtfully to improve efficiency and quality across workflows, including drafting communications, summarizing meetings or materials, organizing information, preparing first drafts, and streamlining recurring tasks.
• Help leaders stay informed by surfacing relevant context, flagging scheduling conflicts, and anticipating upcoming needs.
• Handle changing priorities and urgent requests with sound judgment, composure, and resourcefulness.

Program Manager

• Leverage data-driven insights to diagnose underperforming growth levers, drive those initiatives with product, customer/member marketing and customer success teams, identify high-impact opportunities, and align cross-functional teams around the most critical priorities.
• Lead end-to-end program planning, execution, and delivery across product, marketing, engineering, and cross-functional teams — translating strategy into structured plans with clear milestones, owners, and outcomes.
• Define and rigorously track success metrics tied to member growth and program impact, using insights to continuously sharpen priorities and drive better outcomes.
• Translate complex program data into clear, executive-ready narratives — surfacing progress, risks, and tradeoffs to enable fast, high-confidence decision-making.
• Act as connective tissue across departments — aligning stakeholders, resolving dependencies, and mobilizing teams quickly on the highest-priority opportunities.
• Identify and integrate AI-leveraged workflows and scalable tools to increase program efficiency, reduce manual overhead, and accelerate speed-to-impact.
• Identify, pilot, and scale AI-leveraged workflows and automation tools across programs — reducing manual overhead, improving reporting fidelity, and accelerating speed-to-impact across the team.
• Foster a culture of continuous improvement through retrospectives, process iteration, and feedback loops that make every program more effective than the last.

Director, Strategy & Program Management, Member Growth

Analytics Engineer

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Analytics Engineer II, Identity

Product Designer

• Design elegant, intuitive, and high-quality product experiences across our core member platform.
• Bring a strong visual point of view to improve the overall look, feel, and usability of our products.
• Work with your pod to identify and understand user problems and translate them into clear, compelling solutions.
• Rapidly deliver polished, production-ready designs that balance craft with speed.
• Partner with cross-functional teammates to validate what to build and ensure solutions drive measurable impact.
• Continuously refine and elevate the design quality of shipped experiences through iteration and attention to detail.
• Contribute to and evolve our design system to ensure consistency, scalability, and a high bar for quality.
• Clearly communicate design decisions and rationale through high-quality artifacts and presentations.
• Combine empathy, curiosity, and strong design instincts to create experiences that feel simple, thoughtful, and human.

Senior Product Designer, Member Growth

• Shape and drive the AI/ML platform strategy and roadmap. Advance the long-term vision for our core ML infrastructure and AI developer platform, ensuring it enables rapid experimentation, safe deployment, and scalable production use across all product teams.
• Lead continuous discovery with feature teams. Run an ongoing discovery motion with product, clinical, and engineering teams to deeply understand emerging AI use cases, pain points, and workflow gaps; translate those insights into a clear, prioritized roadmap that balances immediate enablement needs with long-term platform scalability and technical strategy.
• Align platform investments to business impact. Prioritize infrastructure initiatives based on customer value, scalability, and ROI, ensuring the platform supports enterprise-grade performance, security, and cost efficiency.
• Define platform solutions in close partnership with Engineering leadership. Collaborate with engineering managers to translate ambiguous AI/ML needs into well-scoped, technically sound platform capabilities, with clear problem statements, success metrics, definition of done, and thoughtful rollout and enablement plans that drive strong adoption among internal developers.

Senior Product Manager, AI & ML Platform

• Lead and mentor a team of Business Development Representatives to exceed monthly and quarterly pipeline and revenue targets.
• Conduct weekly 1:1 coaching sessions focused on professional development, tactical skill-building, and goal alignment.
• Leverage AI tools and data analytics to interpret team metrics, identifying trends to optimize outreach strategies and team outcomes.
• Partner with Sales and Marketing leadership to develop and execute scalable go-to-market strategies.
• Recruit, hire, and onboard new BDRs, ensuring a high-velocity ramp-up period and a culture of belonging.
• Refine prospecting processes to ensure they are measurable, predictable, and aligned with company growth goals.
• Provide regular data-driven updates to leadership on strategy effectiveness and team performance.
• Review sales outreach and provide real-time feedback to improve messaging resonance and conversion rates.
• Foster a culture of accountability and continuous learning through hands-on training and career pathing.
• Identify and implement operational improvements to increase team efficiency and productivity.

Business Development Manager

Marketing

• Execute campaign builds in Iterable across ad-hoc sends, multi-step journeys, and triggered programs, working within architectures and frameworks established by the Production Lead.
• Support the customization queue by building and QA'ing customization requests.
• Apply segmentation, personalization logic, and conditional content as defined in briefs and templates.
• Maintain and contribute to QA checklists, ensuring every build is reviewed against a consistent bar before it reaches a member inbox.
• Support agency-managed work by reviewing outputs and flagging quality or spec concerns for the Lead to address.
• Document campaign builds, segment logic, and content decisions to support team knowledge and repeatability.

Lifecycle Marketing Manager, Campaign Production

Full-stack Engineer

• Design and build scalable backend services that power member-provider matching, ranking, and precision care routing.
• Collaborate with cross-functional teams to ship high-impact systems that improve member experience, care access, and business performance.
• Expand and maintain existing backend applications and infrastructure that operationalize machine learning and decisioning logic.
• Debug and resolve issues quickly and efficiently.
• Provide technical leadership in architectural discussions, code reviews, and system planning.
• Uphold high engineering standards, including test coverage, documentation, and performance.
• Participate in an on-call rotation to support system reliability and respond to production issues.
• Collaborate flexibly across time zones, as needed, to support distributed teams and stakeholders.
• Lead delivery of complex projects from conception to deployment
• Mentor and guide engineers, fostering growth and best practices
• Drive integration of observability, performance monitoring, and resiliency features
• Partner with stakeholders to shape product strategy through technical input

Business Development Representative

Manager, Data Science, Forecasting – Routing

Customer Success Manager

Senior Product Manager, AI Trust – Safety

Senior Business Analyst, Workforce Optimization

Executive Assistant

Director, Strategy & Program Management, Member Growth

Analytics Engineer II, Identity

Senior Product Designer, Member Growth

Senior Product Designer, Member Growth

Senior Product Designer, Member Growth

Senior Product Manager, AI & ML Platform

Business Development Manager

Lifecycle Marketing Manager, Campaign Production

Senior Software Engineer II, Customer Value, Orchestration