Cedar

Solutions Engineer

• Conduct technical and operational discovery with clients to define requirements, dependencies, and implementation risks
• Translate client data structures and file formats into Cedar’s infrastructure, schemas, and integration design
• Lead data validation and UAT efforts
• Identify root causes and resolve data mismatches, transformation issues, and load failures
• Confirm solutions perform as expected across data quality, access, functionality, and performance
• Communicate complex concepts to technical and operational stakeholders regarding networking, security, change approval processes, user authentication, and technical reviews
• Manage complex, multi-threaded projects and communicate progress against goals and milestones
• Serve as the customer voice to engineering, account management, and product teams
• Apply critical thinking to ambiguous technical and operational workflows
• Operate independently across concurrent workstreams and make sound technical tradeoff decisions
• Use AI and emerging technologies to accelerate analysis, documentation, troubleshooting, and execution while maintaining accuracy
• Apply new technologies pragmatically to improve delivery quality, efficiency, and team effectiveness

Explore Senior Solutions Architect at Cedar. Review requirements and application details.

Senior Solutions Architect

Machine Learning Engineer

• Lead development of machine learning systems underlying Cedar Pay’s Personalization Engine
• Own the ML system and machine learning lifecycle end-to-end, including reliability, scalability, and model effectiveness
• Lead hands-on MLOps work including feature stores, model deployment, inference, and monitoring pipelines
• Lead sophisticated ML modeling, potentially including ensemble models, reinforcement learning, and multi-armed bandits
• Implement compliance and fairness guardrails
• Make hands-on technical contributions while guiding and empowering two ML engineers
• Conduct code and design reviews and elevate technical excellence
• Directly manage, mentor, and coach machine learning engineers
• Build production-grade systems capable of handling millions of healthcare transactions
• Rapidly operationalize, iterate on, and improve ML models and approaches
• Improve and expand feedback loops capturing patient reactions to real-time decisions
• Enable models to learn autonomously and adapt to changing economic and healthcare landscapes
• Partner with Product and Design to translate patient journey touchpoints into concrete ML problems
• Define where machine learning can provide leverage within the Cedar Pay ecosystem

Explore Tech Lead Manager, Machine Learning at Cedar. Review requirements and application details.

Tech Lead Manager, Machine Learning

• Report directly to the CTO
• Lead approximately 35 engineers across Data Engineering, Integration Engineering, and Integration Support Engineering through three experienced engineering managers
• Establish processes, rituals, and accountability structures to ensure predictable, timely, high-quality delivery across platform work, client implementations, and production operations
• Develop engineering managers and build high-performing, engaged teams
• Own integration-system reliability and SLA performance
• Reduce MTTI, MTTR, and systemic incident rates
• Build observability, on-call discipline, and postmortem rigor
• Partner with the Principal Data Architect on migration from legacy systems and adoption of new data architecture
• Ensure product engineering, data science, analytics, and AI/ML teams have trusted, accessible data
• Improve integration frameworks and patterns to scale client onboarding and new product lines
• Build intake processes, prioritization frameworks, and escalation paths to reduce organizational thrash
• Coach managers to operate with increasing autonomy and maintain roadmaps under pressure
• Partner cross-functionally with Product, Data Science, Commercial, and Delivery Engineering
• Represent team capacity and priorities, negotiate trade-offs, and resolve issues before they become crises

Explore Senior Director, Data & Integrations Engineering at Cedar. Review requirements and application details.

Senior Director, Data & Integrations Engineering

Sales Engineer

• Support Cedar’s sales teams during sales and upselling processes
• Educate and engage prospective and current clients on revenue cycle optimization, patient experience, financial ROI, product workflows, and technology details
• Work cross-functionally to support sales efforts through ROI data collection and narrative crafting, implementation and integration discussions, product demonstrations, and RFP support
• Support commercialization scaling with product, marketing, commercial, and delivery teams through positioning, messaging, material development, and strategic vendor partnerships
• Develop deep knowledge of Cedar’s product features and implementation methods, tailoring explanations to provider type, EHR, and strategic objectives
• Develop subject matter expertise in Cedar’s value proposition and competitive landscape
• Own Sales Engineering activities end to end from discovery to close
• Build strong relationships with sales-team peers and partner on opportunities
• Participate in continuous improvement projects to improve team productivity, efficiency, and messaging
• Exemplify Cedar’s values
• Travel domestically 10%–20%
• Report to the VP, Sales Engineering

Explore Senior Manager, Sales Engineering at Cedar. Review requirements and application details.

Senior Manager, Sales Engineering

Sales Development Rep

• Generate new pipeline and connect healthcare leaders with Cedar’s solutions
• Engage priority accounts and follow up on high-intent signals
• Turn marketing and outbound activity into qualified sales conversations
• Identify and engage prospects through targeted email, phone, and LinkedIn outreach
• Respond to inbound and marketing-generated leads from websites, webinars, events, campaigns, and other programs
• Research target organizations, identify key stakeholders, and map account relationships
• Maintain CRM data accuracy and ensure follow-up compliance
• Expand AI-driven outbound campaigns with personalized phone and LinkedIn outreach
• Conduct initial discovery conversations and qualify sales opportunities
• Create prospecting strategies, messaging, and outbound playbooks
• Personalize outreach based on buyer persona, company profile, technographics, account context, buying signals, and Cedar’s value propositions
• Follow up after conferences, webinars, dinners, and other events
• Partner with Account Executives to prioritize accounts, coordinate outreach, share account intelligence, and ensure strong handoffs
• Test new approaches, share effective practices, and help build scalable SDR processes
• Work within Cedar’s Demand Generation team in partnership with Sales, Product Marketing, and Revenue Operations

Explore Sales Development Representative at Cedar. Review requirements and application details.

Sales Development Representative

General Counsel

• Structure, draft, and negotiate complex sales, vendor, and strategic partnership agreements, including MSAs, HIPAA BAAs, license agreements, and consulting agreements
• Own assigned matters from intake through execution and manage competing deadlines
• Partner with product, privacy, and compliance legal colleagues for specialist support
• Advise sales, finance, procurement, and business development teams on deal structures and commercial terms
• Counsel on AI, technology licensing, forward-deployed engineering engagements, data rights, and go-to-market activities
• Improve standard contract templates, deal intelligence, playbooks, and legal processes
• Collaborate with Legal & Compliance Operations to improve CLM tools and technology-enabled contracting workflows
• Use approved technology and AI tools to improve drafting, contract review, and contract information access
• Measure and share contracting results, including cycle time and business self-service
• Collaborate with Legal Product, Regulatory, and Compliance teams on product and regulatory developments
• Share practical learnings, business direction, and market insights with teammates
• Support onboarding and development of colleagues
• Collaborate with specialized outside counsel and supplemental legal resources
• Travel periodically to New York and other locations for company and team meetings

Explore Commercial Counsel at Cedar. Review requirements and application details.

Commercial Counsel

Data Engineer

• Lead the design and execution of a high-scale data model and storage architecture outside the legacy monolith
• Drive decisions on service boundaries, data ownership, storage patterns, Medallion architecture, API contracts, and data strategy
• Develop real-time event-driven and streaming pipelines alongside traditional batch processing flows
• Write, ship, and maintain high-quality production code with Data Engineers
• Model critical domains and implement core engineering patterns
• Own the accuracy and reliability of core business metrics, including collection rate, days in AR, and invoice balance tracking
• Design governance and validation frameworks for consistent reporting and product data
• Build data foundations powering Cedar’s AI-driven products and autonomous revenue cycle workflows
• Design data models for new product lines across the revenue cycle
• Mentor Data Engineers through code reviews, design guidance, and technical coaching
• Drive technical alignment across data engineering, platform, and product teams
• Set priorities, unblock dependencies, and ensure delivery against customer-facing commitments

Explore Principal Data Engineer at Cedar. Review requirements and application details.

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