Pivotal Health

Full-stack Engineer

• Ownership: Take initiative on features and improvements, collaborating with teammates to deliver reliable solutions.
• Momentum: Move fast, iterate wisely, and deliver meaningful results without sacrificing quality or reliability.
• Impact: Solve real problems that matter for our team and our users; focus on practical, scalable solutions that drive value.
• Innovation: Bring initiative and creativity to tackle challenging problems; propose new approaches and improvements that move the product forward.
• Collaboration: Work humbly and openly with teammates, leveraging others’ expertise while sharing your own; communicate clearly with both technical and non-technical partners.
• Transparency: Share context, challenges, and decisions openly. Ask questions, surface risks early, and be comfortable giving and receiving feedback.
• Culture: Contribute to a healthy, low-ego team environment that values empathy, growth, and mutual respect, while fostering collaboration, learning, and knowledge-sharing

Software Engineer II – Systems Integration

• Build and maintain backend systems: Design and implement scalable backend services that support high-throughput data workflows and real-time decision-making.
• Develop robust APIs: Build secure, performant, and reliable APIs that power our platform and integrate with internal and external systems.
• Collaborate across teams: Work with Product, to ship features end-to-end. Translate ambiguous requirements into technical solutions that have real business impact.
• Shape our architecture: Contribute to decisions around system design, performance, and scalability. Help define patterns and best practices for a growing engineering team.
• Own the full development lifecycle: From design and implementation to testing, deployment, and post-release support — you’ll see your work through from start to finish.
• Improve developer experience: Advocate for code quality, testing, DevOps, and observability, making it easier for the team to ship reliably.
• Mentor and grow the team: Share knowledge, conduct code reviews, and help junior engineers grow technically and professionally.

Senior Software Engineer – IDR Core

• Implement and own backend integrations: Build and maintain backend integrations with third-party systems, including ERP accounting software and Salesforce.
• Build the business logic behind money movement: Implement the financial calculations and business rules that determine how funds flow.
• Contribute to architectural decisions: Be an active participant in architectural discussions.
• Operate with autonomy on a small team: You'll be expected to self-direct and drive your work forward.
• Grow into broader platform work: Once the initial integration project wraps, you'll move into broader internal platform work.

Senior Software Engineer – Systems Integration

Research Scientist

• Improve decisioning systems that affect pricing, offer behavior, workflow routing, and other economically meaningful product outcomes.
• Design and run experiments that help us understand whether product, rules, prompt, or model changes are actually improving performance.
• Build models, heuristics, optimization logic, or evaluation frameworks that improve real-world outcomes under operational constraints.
• Help translate business objectives into measurable decisioning systems with clear tradeoffs and success criteria.
• Work closely with engineers to productionize new logic rather than stopping at notebooks or offline recommendations.
• Help design feedback loops that connect model and workflow behavior back to product and business outcomes.
• Contribute to configurable rules systems and other controls that make decisioning easier to manage and improve over time.
• Use AI as a force multiplier in your own workflow and help the team move faster by bringing strong AI-native habits.
• Balance rigor and speed in an environment where shipping matters and iteration is constant.

Senior Applied Scientist – Decisioning

Machine Learning Engineer

• Own and improve applied AI and ML systems that influence important business workflows.
• Build and refine production workflows around generation, decisioning, retrieval, evaluation, and orchestration.
• Work on concrete systems such as position statement generation, offer engine improvements, open negotiation agents, and configurable rules or decisioning systems.
• Design and run experiments that improve model quality, workflow quality, and business outcomes.
• Partner with product, operations, and engineering teammates to define success metrics and translate messy real-world problems into buildable systems.
• Improve prompt, model, and workflow behavior through tight feedback loops and practical iteration.
• Contribute to the engineering quality of these systems, including instrumentation, testing, rollout safety, and operational visibility.
• Use AI as a force multiplier in your own work and help the team move faster by bringing strong AI-native habits.
• Balance speed and rigor in an environment where shipping matters and iteration is constant.

Senior Applied AI/ML Engineer

Artificial Intelligence

• Partner directly with internal teams to identify high-leverage opportunities for AI-powered workflows and automation.
• Build lightweight but useful AI solutions for internal users, then help turn the best ones into repeatable capabilities.
• Improve onboarding and enablement paths that help non-technical or less-technical teams use AI effectively.
• Develop patterns, starter workflows, templates, and guardrails that make AI adoption easier across the company.
• Work with the AI platform team to translate field needs into better internal tooling and reusable primitives.
• Act as a forward-deployed partner who helps unblock teams creatively and pragmatically.
• Run workshops, office hours, demos, or embedded enablement efforts where needed, but always anchored in real work and real outcomes.
• Help define what great AI-enabled work looks like across functions, not just inside engineering.
• Use AI deeply in your own workflow and model strong, practical usage patterns for others.

Senior AI Enablement Engineer

• Build new product experiences from 0 to 1 across backend services, APIs, integrations, and frontend workflows.
• Design and implement backend systems that power product logic, orchestration, data access, and AI-enabled workflows.
• Contribute to frontend product development in React-based applications, especially where product quality depends on tight frontend-backend iteration.
• Work closely with product, design, operations, and AI/ML partners to turn ambiguous ideas into shipped product.
• Prototype quickly, then harden what works into maintainable product systems.
• Build internal and customer-facing workflows that use AI, structured data, and software automation to increase leverage.

Full Stack Engineer

Data Engineer

• Own the pipeline from product database to analytics warehouse: Take full ownership of extracting data from our PostgreSQL product database and loading it into BigQuery. Design and maintain the ETL processes that make this happen reliably, with the right structure for downstream analytics use.
• Bring in new data sources: Expand our analytics footprint by integrating new data sources, including third-party tools like Salesforce, into our warehouse. You'll partner with our DevOps team to establish the right service accounts, permissions, and connection patterns to do this securely and correctly.
• Build and maintain analytics-ready tables: Use dbt to design, build, and manage the transformation layer that turns raw data into clean, well-structured tables. You'll have real ownership over what the data looks like: what gets modeled, how it's shaped, and what makes it most useful for reporting.
• Support reporting and business insights: Work alongside our analysts to support the reporting layer, ensuring data is fresh, accurate, and structured in a way that makes building dashboards and reports in Tableau, Power BI, or Metabase reliable and efficient.
• Be the bridge between analytics and engineering: Attend engineering team meetings to stay ahead of product changes that could affect analytics. Serve as the connective tissue between both teams, translating data needs into technical solutions and keeping everyone aligned.

Account Executive

• Generate pipeline: Build new relationships with health system CFOs, Revenue Cycle, and Finance leadership.
• Own complex sales cycles: Progress opportunities from initial outreach through close, managing multiple stakeholders, timelines, and deal requirements.
• Develop account strategy: Own account planning, identify decision-makers and champions, and align deals to customer priorities, budget, and ROI.
• Partner on deal execution: Work closely with the CRO on negotiations, contracting (including redlines), and closing.
• Maintain executive relationships: Build credibility with senior stakeholders and position yourself as a trusted partner.
• Drive pipeline discipline: Maintain accurate pipeline tracking, forecasting, and CRM hygiene (Salesforce is our source of truth).
• Support customer transition: Partner with Customer Success to ensure smooth onboarding, implementation, and identify expansion opportunities.
• Improve the motion: Bring ideas to reduce sales cycle time and improve how we engage and win with health systems.

Regional Sales Executive

Executive Assistant

• Manage complex calendars across multiple executives, prioritizing effectively and ensuring alignment with company goals
• Coordinate internal and external meetings, including agendas, prep materials, and follow-ups
• Act as a gatekeeper and strategic partner, protecting executive time while ensuring accessibility
• Drive key operational workflows (e.g., meeting cadence, leadership rituals, offsites)
• Track action items and ensure follow-through across executives and teams
• Support cross-functional coordination and communication
• Draft and manage internal and external communications on behalf of executives
• Interface with board members, investors, partners, and senior stakeholders
• Maintain confidentiality and professionalism in all interactions
• Plan and manage detailed travel itineraries, often with shifting priorities
• Coordinate team events, offsites, and executive-level meetings
• Identify inefficiencies and proactively build systems to improve how executives operate
• Bring structure and clarity to ambiguous or evolving processes

People Operations

• Own end-to-end onboarding coordination: I-9s, Day 1 prep, and new hire checklist management
• Maintain and improve the onboarding program as we scale
• Manage offboarding operational processes with care and consistency
• Own Rippling: employee data, system integrations, access provisioning, and ongoing admin
• Support Ashby configuration: interview scheduling, rec IDs, pod setup, and automation
• Build and maintain People and talent dashboards and hiring metrics for leadership reporting
• Track and follow up on compliance items: training completion, benefits enrollment, payroll setup
• Manage background check process and ensure documentation is current
• Support benefits administration, open enrollment, and employee questions
• Maintain accurate records in Rippling and flag issues proactively
• Support the Recruiting team with coordination overflow during high-volume periods
• Prepare and send offer letters
• Pull recruiting reports: time-to-fill, pipeline status, agency activity
• Serve as a first point of contact for routine employee HR inquiries, providing guidance on HR policies, benefits, and People processes
• Own Notion-based People knowledge base: policies, guides, process documentation
• Help build scalable processes as we grow: things that work at 50 employees often don’t at 150
• Leverage AI tools to streamline administrative tasks, improve knowledge management, and enhance employee self-service resources
• Partner cross-functionally with Finance, IT, and Legal on compliance and process improvements
• Document and standardize SOPs to create scalable, repeatable processes
• Continuously evaluate People systems and tools to improve efficiency, employee experience, and data accuracy