Smarter Technologies

Artificial Intelligence

• Build financial and operational models to evaluate the impact of AI and automation initiatives, including labor efficiency, throughput, quality, and margin implications
• Own and help define the measurement framework used to assess the real-world performance of AI capabilities deployed within Access Healthcare, serving as a controlled testing environment
• Partner closely with Product and Engineering teams to ensure the right data is being captured and interpreted to support decision-making (without building production systems or models)
• Translate executive and board-level questions into clear analytical requirements and measurable outcomes
• Synthesize complex data, assumptions, and technical concepts into executive-ready insights, scenarios, and recommendations
• Support enterprise financial planning and reporting related to AI-driven initiatives, including ROI analysis and scenario modeling
• Act as a strategic liaison across Product, Engineering, Finance, Customer Success, Legal, and Operations to align AI initiatives with financial and operational objectives

AI Product Strategy and Analytics Associate

Data Engineer

• Develop and maintain data pipelines and transformations across the stack. Starting from ingesting transactional data into the data lakehouse to refining data up the medallion data architecture.
• Tune performance, storage layout, and cost-efficiency across our data storage and query engines.
• Help design and implement new data ingestion patterns and improve platform observability and reliability.
• Partner with engineering, product, and operations teams to deliver well-structured, trustworthy data for diverse use cases.
• Help establish and evolve best practices for our data infrastructure, from pipeline design to OpenTofu-managed resource provisioning.
• Help design and implement a data governance strategy to secure our data lakehouse.

Staff Data Engineer

Full-stack Engineer

• Plan and execute projects and initiatives involving multiple stakeholders and complex requirements, applying strategic prioritization.
• Consistently deliver code that sets the standard for quality and maintainability. Maintain awareness of industry trends and tools.
• Equip team members with DevEx tools and processes to resolve challenges independently.
• Offer consistent, high-level guidance to engineers across all levels, sharing expertise in software engineering best practices.

Staff Software Engineer – Platform

Machine Learning Engineer

• Innovate: Stay at the forefront of AI/ML advancements, continuously exploring new techniques, models, and tools. Your insights will help drive innovation and keep our platform at the cutting edge of technology.
• Collaborate: Work closely with core platform and automation engineers, as well as other stakeholders, to identify and address business needs through Machine Learning solutions. You will play a key role in bridging the gap between AI research and practical application.
• Integrate: Utilize APIs, pre-trained models, and other tools to implement AI-driven features across our platform. You will focus on integrating these capabilities into production systems, enhancing the functionality and performance of our solutions.
• Optimize: Fine-tune and optimize existing solutions for specific product requirements, ensuring that AI integrations are efficient, scalable, and reliable.

Staff Software Engineer, Machine Learning

• Lead End-to-End Builds.
• Own projects across the full development lifecycle - from greenfield prototypes to scaling out mature systems. You’ll take loosely defined problems and return well-architected, production-ready solutions.
• Design for Clarity and Change.
• Build backend services and user interfaces that are modular, testable, and ready to evolve. You prioritize simplicity, knowing where abstraction helps - and where it just adds noise.
• Drive Pragmatic Scalability.
• Design for growth without overengineering. You’ll apply best practices in schema design, API modeling, and state management with a clear sense of tradeoffs and long-term maintainability.
• Collaborate Closely.
• Partner with product, design, and other stakeholders to understand real-world needs and shape the right technical solutions. You'll operate autonomously but never in isolation.
• Continuously Level Up.
• Bring curiosity and humility. We’re a senior team that shares learnings freely and pushes each other to do our best work.

Senior Software Engineer, Full Stack

Engineer

• Partner with customers to understand their workflows, systems, and pain points to customize our solutions effectively in close collaboration with Technical Product Managers (TPMs), Platform Engineers and the Customer Experience (CX) team.
• Engineer and own the software solutions that are deployed to customers. Write code to improve products and scale our capabilities to more customers and use cases.
• Lead the implementation and integration of our platform into customer environments, ensuring seamless operation with existing systems.
• Provide hands-on technical support during deployment, troubleshooting issues, and optimizing performance.

Forward Deployed Engineer

Technical Program Manager

• Lead Problem Discovery: Deeply investigate and define customer challenges, gathering insights to inform the strategic direction of AI Agent deployment
• Drive Data-Driven Decision Making: Use data analysis and customer research to prioritize product features and improvements, ensuring each roadmap decision aligns with customer needs and operational goals
• Exemplify Impeccable Project Management: Drive seamless project execution through meticulous planning, clear communication, and proactive issue resolution, ensuring timely delivery of high-impact initiatives aligned with customer and business objectives
• Serve as the Voice of Truth: Act as a trusted advisor to stakeholders, transparently communicating insights and findings about any current technical limitations or challenges encountered
• Evaluate Business Impact: Assess how different technical approaches influence business outcomes, supporting data-backed prioritization of product roadmaps
• Optimize Discovery and Delivery Processes: Collaborate on developing efficient processes and playbooks that streamline problem discovery and roadmap planning to ensure high-quality, scalable deployments
• Inform Product Design with Data Insights: Collaborate with the product and platform engineering teams, using findings from customer discovery to shape the design of products that align with emerging needs
• Lead Cross-Functional Collaboration: Guide and mentor a cross-functional team, including program managers and engineers, to ensure effective problem exploration and alignment across product initiatives

Solutions Engineer

• Lead structured discovery across RCM workflows, data requirements, integrations, and success metrics
• Deliver tailored, credibility-driven demos that surface real operational pain points (eligibility, denials, AR follow-up, prior auth, etc.)
• Translate customer workflows into realistic automation plans
• Scope data requirements and assess integration feasibility at a high level (APIs, files, system constraints)
• Identify risks, assumptions, and dependencies early to provide proper sales alignment
• Partner with Account Executives on technical validation, objection handling, and scope-to-price alignment
• Document solution assumptions, constraints, and integration requirements for clean handoff
• Participate in kickoff and early implementation checkpoints to reduce rework
• Help clarify workflows and validate early acceptance criteria when needed
• Surface risks early and coordinate mitigation across Sales, Product, and Delivery
• Create reusable assets (discovery templates, demo frameworks, scoping checklists)
• Improve consistency and quality across concurrent deals
• Contribute to the long-term structure and maturity of the Solutions Engineering function