Arbital Health

Business Development Rep

• Support development and execution of Arbital’s payer / health plan GTM strategy
• Help define positioning, messaging, and use cases for health plan buyers
• Partner closely with Product and Actuarial teams to translate capabilities into compelling market offerings
• Own ongoing competitive analysis across analytics platforms, actuarial services, and emerging AI solutions
• Develop clear POVs and talking points against key competitors (e.g., large consulting firms, EHRs, payer-native tools)
• Keep leadership informed of market shifts, buyer behavior, and GTM implications
• Support the CCO on priority commercial initiatives and cross-functional projects
• Help build and standardize processes for: RFP review and response; Deal qualification and evaluation; Market and opportunity assessment
• Act as a connective tissue across Sales, Marketing, Product, and Delivery
• Help maintain perspective on organic growth opportunities, partnerships, and expansion vectors
• Support early thinking around inorganic growth, including market landscape review and strategic fit assessments
• Work closely with the Sales team to support ongoing commercial activities as needed
• Participate in select customer and prospect conversations, particularly with health plans
• Help ensure consistency between market narrative, product roadmap, and sales execution

Director of Business Development, Payor Strategy

Sales Operations Manager

• You’ll own HubSpot as a super user: configuration, workflows, dashboards, data hygiene, and reporting
• Build and maintain robust reporting on pipeline health, conversion metrics, sales activity, and forecasting
• Ensure sales process compliance across teams — if it’s not in HubSpot, it didn’t happen
• Partner with Sales and Marketing to improve workflows and CRM usage
• Conduct light outbound follow-up (email and phone) with prospects as needed
• Support the Chief Commercial Officer with special projects, including: preparing board-ready decks and commercial updates; pulling and synthesizing relevant performance data; ad hoc analysis and operational initiatives

AI Engineer

• Lead the architecture and development of Arbital’s next-generation conversational AI
• Collaborate with our cross-functional team of actuarial scientists, data scientists, data engineers, and product managers on Arbital’s AI strategy and help shape the conversational AI platform roadmap
• Manage the deployment and monitoring of these AI solutions in production environments to ensure they are performing as expected and troubleshoot any issues
• Ensure data accuracy, integrity, privacy, security, and compliance through automated quality control procedures
• Mentor junior team members

Senior AI Engineer

SDET

• Lead the design, development, and execution of comprehensive test plans and QA strategy for our growing healthcare data-centric SaaS Platform
• Build and execute comprehensive testing frameworks for AI/ML systems, including LLMs, RAG, and agentic workflows
• Apply modern AI testing techniques including adversarial testing, red-teaming, and safety and robustness evaluation
• Write, maintain, and scale automated test code for the full stack, APIs, and data validation using modern testing frameworks.
• Collaborate with product managers, actuaries, UX designers, and other engineers to design and implement automated UI tests, API tests, Performance monitoring tests to validate new features and detect regressions in existing features.
• Own the QA automation lifecycle and continuously enhance the automation infrastructure.
• Select and implement automated testing frameworks and tools that are the best fit for Arbital’s platform and team.
• Manage and monitor both automated and manual test execution to support continuous delivery.
• Ensure compliance and robustness when handling regulated data such as healthcare or financial information.
• Create detailed and easy to understand bug reports.
• Provide technical mentorship and leadership within the QA team, especially in a dynamic startup environment.

Senior QA Automation Engineer

Product Manager

• Own Merlin’s AI workflows, reliability, and user-facing intelligence experiences; responsible for day-to-day AI product execution and iteration of the Merlin intelligence roadmap, aligned with pillar strategy
• Turn high-level user problems into structured workflows, data requirements, and success criteria; drive clarity on what Merlin should do, why it matters, and how correctness is measured
• Translate ambiguity into shippable AI systems by writing clear specs, PRDs, evaluation frameworks, and edge-case handling for AI behaviors
• Break down complex actuarial and clinical questions into the data primitives Merlin needs, and partner with engineering on safe, reliable model interactions (planning, RAG, schema alignment, fallbacks)
• Drive delivery and reliability by overseeing model and coordinating prompt changes, SQL logic, and evaluation pipelines; define guardrails to reduce hallucinations and ensure predictable deployments
• Collaborate with the sciences team on repeatable testing frameworks and workflows for new markets and contracts
• Shape the customer-facing intelligence experience by leading discovery with payers and providers, mapping user questions to Merlin capabilities, and driving adoption through demos, supporting GTM enablement, and messaging
• Run the execution rhythm across teams (prioritization, sprint alignment, risk tracking, cross-team syncs) and partner with delivery and implementation to ensure clean, accurate Merlin launches
• Identify high-leverage intelligence features that differentiate Arbital, bring insights from user queries into product and commercial strategy, and build internal playbooks and frameworks that make future AI development faster and safer

AI Product Manager

Data Engineer

• Leverage your advanced skills in Python and SQL and with platforms like Databricks and AWS to build highly scalable data pipelines and warehouses
• Design and maintain context engineering pipelines (embedding generation, indexing, vector storage) for conversational AI, collaborating with the Senior AI Engineers and Data Scientists.
• Develop and deploy scalable AI/ML data pipelines, specializing in data prep/serving for LLMs and RAG systems.
• Stay ahead of emerging tech and integrate it into business solutions
• Automate data workflows for ingestion, cleansing, quality assurance, enrichment, and aggregation
• Ensure data accuracy, integrity, privacy, security, and compliance through automated quality control procedures
• Collaborate with an actuarial science team
• Contribute to the design, implementation, and overall development of our products
• Drive innovation and deliver valuable features for our customers

Senior Data Engineer

Technical Program Manager

• Manage our SOC2 and HITRUST certified data delivery process along with any support/data issues stemming from our AI-forward application suite.
• Lead cross-functional technical programs from planning through execution, ensuring predictable and scalable outcomes.
• Bring structure to ambiguous initiatives and maintain alignment across engineering, product, actuaries, and data science.
• Establish delivery standards, project governance models, and repeatable execution frameworks.
• Provide clear, timely communication of progress, risks, and decisions across teams and leadership.
• Produce executive-ready insights to support prioritization, resourcing, and strategic decision-making.
• Own and optimize engineering operations tooling (JIRA, Slack, Smartsheet, internal systems).
• Design automated workflows that reduce manual effort, increase reliability, and improve audit readiness.
• Streamline development workflows and remove productivity bottlenecks.
• Enhance CI/CD pipelines to support rapid, high-quality releases.
• Partner with engineering to drive adoption of tools and processes that increase developer velocity.