Role Description Payment Integrity lives at the intersection of clinical nuance and product logic — and the Complex Clinical Audit (CCA) Business Solutions Lead is where that intersection gets built. This is not a clinical license role — it's a deep payment integrity SME role for someone who has spent 5+ years embedded in payment integrity on the payer or vendor side of U.S. healthcare, and who understands how to turn that domain knowledge into the technical backbone of a product. - Translate coding guidelines, MS-DRG definitions, and payer audit policy into workable product logic. - Build prompts, connectors, and workflows that validate claims against medical records at scale. - Work hands-on with AI Engineering on backend build, developing test scenarios and validation criteria for new audit capabilities. - Demo product capabilities directly to clients, explaining data foundation and audit logic. - Understand how CCA connects to the rest of payment integrity: COB, SIU, and fraud/waste investigation. NOTE: This is a remote role with US working hours (Eastern time zone) Qualifications - 5+ years embedded in payment integrity on the payer or vendor side of U.S. healthcare. - Experience building technical PI solutions: backend data engineering workflows, EMR/connector builds, or load-UI systems. - Deep knowledge of U.S. healthcare payer payment integrity programs. - Strong working knowledge across multiple PI domains: DRG audit, clinical validation, IBR, edit-based audits, observation, readmissions. - Comfort being client-facing: demoing product and presenting to U.S. payer stakeholders. - Experience translating audit operations, clinical content, and payer requirements into software workflows. - Strong analytical and communication skills. - Familiarity with claims processing, adjudication systems, and healthcare interoperability standards. - Comfort using internal AI-enabled tools to prototype and visualize workflows. - A track record of championing AI tools to accelerate ideation and solution design. Requirements - Experience partnering directly with Product Management, Engineering, Data Science, AI Engineering, or Clinical Informatics teams. - Familiarity with Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), or healthcare AI applications. - Understanding of recovery workflows, eligibility verification, and payment responsibility determinations. - Familiarity with FWA investigation methods and healthcare fraud prevention programs. - Experience identifying opportunities to integrate COB, subrogation, FWA, and payment integrity data. - Experience defining business requirements, user stories, acceptance criteria, and product specifications. Benefits - Competitive Leave & Benefits - Comprehensive health coverage - Equity for every employee – share in our success - Growth-focused environment – your development matters here Company Description As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves.

• Conducting comprehensive business analysis for diverse fintech projects and initiatives. • Analyzing industry trends, market conditions, and competitor strategies for benchmarking purposes. • Collecting and prioritizing the product requirements from stakeholders and the focus groups. • Developing detailed use cases, user stories, and documentation to outline product features and functionalities. • Identifying and addressing gaps in current products and processes. • Working with third-party developers to integrate API and SDK products. • Providing technical support to internal sales, operations units, and partner engineering teams. • Participating in troubleshooting, testing, launching, and monitoring post-integration of solutions. • Creating technical documentation, integration manuals, guidelines, user manuals, and training materials for clients. • Managing internal knowledge transfer and conducting product demonstrations to stakeholders.

Role Description Nebius is looking for a Senior GTM Analyst to join our Sales Operations / GTM Analytics team. This role will support the teams responsible for understanding, measuring, and improving our go-to-market performance. This is a hands-on analytics role for someone who is comfortable working with data, business stakeholders, and ambiguous commercial questions. You will help turn data from multiple systems and sources like Salesforce, Postgres/YTsaurus, Tableau, and Excel into clear insights that GTM teams can actually use. You will work closely with GTM leadership and operators to answer questions like: - Where is pipeline being created? - Which segments are converting? - Are territories balanced? - Where are reps losing time? - Is the dashboard showing the truth, or just reflecting bad data underneath? You will leverage AI tools to improve process efficiency, create automations and deliver AI products. Your responsibilities will include: - Build, maintain, and improve Tableau/Salesforce dashboards for GTM teams. - Write SQL queries to investigate pipeline, bookings, conversion, activity, territory, and productivity trends. - Own GTM dashboards, metric definitions, and recurring performance reporting. - Help improve data quality in Salesforce and downstream reporting tables. - Investigate metric inconsistencies and explain root causes clearly. - Partner with stakeholders to understand what business question they are really trying to answer. - Document metric definitions, dashboard logic, and reporting assumptions. - Support ad hoc analysis for GTM planning, territory reviews, forecasting, and performance deep dives. - Turn messy requests into clean analysis and practical recommendations. - Use Claude, Codex, and other AI tools to help you analyze and build products. You are not just creating charts. You are helping the business understand what is happening and why. You do not wait for perfect requirements. You clarify the business question, check whether the data can support the answer, and push back when the metric or interpretation is flawed. You can explain what changed, why it changed, and what the business should do next. Qualifications - 5+ years of experience in analytics, RevOps, Sales Ops, BI, or a similar role. - Strong SQL fundamentals. - Experience with Tableau, Power BI, Looker, or a similar BI tool. - Solid Excel or Google Sheets skills. - Familiarity with AI Tools. - Strong understanding of GTM metrics such as pipeline, ARR, bookings, conversion rate, win rate, sales cycle, quota attainment, and funnel stages. - Experience working with Salesforce data or another CRM. - Ability to communicate findings clearly to non-technical stakeholders. - Strong attention to detail, especially around metric definitions and data quality. - Curiosity about how Sales, Marketing, and Customer Success teams operate. Requirements - Experience with dbt, Postgres, or YTsaurus. - Experience supporting Sales Operations, Revenue Operations, or GTM strategy teams. - Familiarity with territory planning, forecasting, lead routing, account segmentation, or quota setting. - Experience working in a fast-moving SaaS or B2B technology company. - Curiosity on exploring AI tools to improve your day to day. Benefits - Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. - 401(k) plan: Up to 4% company match with immediate vesting. - Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. - Remote work reimbursement: Up to $85/month for mobile and internet. - Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

• Conduct detailed process analysis and documentation of healthcare workflows, including claims adjudication, prior authorization, and revenue cycle processes • Collaborate with healthcare clients to gather requirements and understand pain points across clinical, administrative, and claims operations • Create process maps, data flow diagrams, and detailed documentation using Task Mining and Process Mining insights to validate as-is workflows • Identify and quantify automation opportunities with clear ROI calculations, leveraging Process Mining to surface bottlenecks and inefficiencies in claims and operational workflows • Use Task Mining to capture and analyze user interaction patterns, accelerating process discovery and documentation • Work closely with RPA developers to translate business requirements into technical specifications • Develop business cases and value propositions for automation initiatives, including claims processing automation and end-to-end revenue cycle optimization • Guide process standardization and optimization efforts across claims intake, validation, adjudication, and denial management workflows • Support implementation and change management activities