Abacus Insights

You will partner with customers and internal teams to craft scalable, flexible, and resilient cloud architectures that solve customer business problems and accelerate adoption of Abacus’ offerings. You'll author architecture design documents, work across business and IT teams, and collaborate with product management and data engineers to implement client projects.

You will bring to market a cutting-edge cloud data platform that enables healthcare payers to turn vast data into insights. You'll translate strategic direction into product features, act as the primary liaison between business needs and engineering teams, and manage features throughout their lifecycle.

You will support client engagements by translating business needs into data-driven solutions. Partnering closely with clients and internal teams, you will define requirements, validate solutions, and ensure successful delivery across various business domains and data use cases.

You will design and implement high-volume data pipelines using PySpark and Databricks in a modern cloud environment. You'll work directly with customers and internal teams to drive data integration solutions that power better healthcare decisions.

You'll act as **primary technical liaison** between product implementation and production support, leading **client UAT strategy and execution**. You'll drive stability, performance, and SLA adherence for assigned **healthcare SaaS environments**.

You'll define and operationalize the governance framework enabling high-quality data to safely power GenAI agents and analytics. You'll set the vision for the internal data ecosystem and establish operational standards. This role is critical to ensuring AI outcomes are trustworthy and effective. You'll drive cross-functional alignment without direct authority.

You'll join our Tech Ops division to design and implement **high-volume data pipelines** for healthcare clients. Your work will directly impact **data integration solutions** using PySpark, Databricks, and Snowflake. Backed by $100M in funding, we're transforming healthcare data for health plans.

You'll join a global data modeling team transforming business requirements into conceptual and logical data models for **healthcare payer data**. You'll ensure models support analytical and operational use cases with **high performance and data integrity** while working alongside senior modelers and client teams.

You'll architect and optimize complex data pipelines for a health tech company, using **PySpark** and **Databricks** in a modern cloud environment. Your work will directly impact healthcare data usability for large health plans, enabling **better decisions and outcomes**.

You will lead data quality strategy, perform advanced validation on large-scale healthcare datasets, and shape testing automation. You'll partner with cross-functional teams to ensure reliable data solutions at scale.

You'll lead the development of **automation capabilities** that enhance client delivery efficiency for a **healthcare data platform**. You'll define and execute a roadmap integrating automation, orchestration, and DevOps to reduce manual efforts and accelerate implementations.

You'll drive revenue growth within strategic health insurance accounts, expanding platform adoption and delivering high-impact solutions. You'll act as a trusted advisor to C-level stakeholders, translating their priorities into measurable outcomes. This role offers **the chance to shape the future of healthcare data** at a **well-funded, mission-driven company**.

You'll own multi-channel demand generation at a healthcare data platform startup, driving pipeline growth through campaigns, content, and paid media. You'll serve as the connective tissue between product marketing strategy and revenue impact, translating **technical value propositions** into high-performing campaigns. Experiment with **AI-enabled workflows** to continuously improve performance and efficiency.

You'll own execution of our AI-driven **data governance program** end-to-end, driving a prioritized remediation backlog and holding cross-functional teams accountable. Your core impact is building the operational discipline that keeps **governance running at scale** while operating the **Claude AI governance agent stack**. You'll report progress weekly to the CIO and deliver measurable outcomes from Day 1.

You'll architect and build high-volume data pipelines using **PySpark** and **Databricks** for a healthcare data platform. Your work will enable health plans to unify data for better care decisions. You'll lead technical solutions for clients and mentor junior engineers in a fast-growing company.

You'll own **production operations** and **incident response** for Abacus Insights' healthcare data platform. Your core impact is resolving **complex AWS and Databricks issues** while working directly with customers. This role blends SRE, customer-facing engineering, and software development.

You'll partner with Product and Engineering leadership to coach globally distributed teams in building healthcare technology solutions, driving agile transformation and measurable business value. **Promote sustainable high performance** through disciplined agility and data-driven retrospection.

You'll manage the full employee lifecycle at a **healthcare data company** backed by $100M. Your work ensures seamless onboarding, payroll, and benefits for India teams, directly impacting **employee experience** and operational efficiency. This role offers **global exposure** to HR processes across the US and Nepal.

You'll lead a **global data modeling team** transforming healthcare data models for a **health plan data platform**. Your work will **power GenAI use cases** and drive better outcomes for members and providers. This role combines hands-on technical leadership with shaping enterprise data strategies.

You'll own the product backlog for GenAI solutions, ensuring clear acceptance criteria and sprint cadence. You'll drive delivery of features that improve healthcare payment integrity and streamline operations. Working across India, Nepal, and US teams, you'll bridge product strategy to execution.

You'll help define how quality is engineered into agentic systems from the beginning, **embedding guardrails** and evaluation signals directly into design and deployment. You'll own an AI testing platform **integrated with Databricks and MLflow** to enable evaluation, lineage, and auditability at scale. This role is automation-first, focusing on repeatable, scalable quality practices for mission-critical healthcare environments.

You'll craft **highly scalable cloud architectures** for a **healthcare data platform**, partnering with customers and internal teams to accelerate adoption of Abacus's offerings. Your work will directly reduce technology costs and solution redundancy while driving better health outcomes.

You'll be the primary **on-site IT contact** for our Kathmandu campus, resolving hardware, software, and access issues. You'll shape **a seamless employee experience** through white-glove onboarding and responsive support. This role offers **growth alongside senior engineers** in a dynamic health-tech company.

You'll design and implement high-volume data pipelines using **PySpark and Databricks** for a **healthcare data platform** backed by $100M. You'll drive impact by enabling **clean, connected data for GenAI use cases** while mentoring junior engineers.

You'll support the design, coordination, and execution of **corporate learning initiatives** across India, Nepal, and the USA. You'll partner with business leaders and HR teams to deliver programs that enhance employee capability and leadership effectiveness. This role drives improved participation and completion metrics while ensuring **positive stakeholder feedback**.

You'll join our TechOps team to **build and validate data pipelines** for a **healthcare data platform**, ensuring clean, connected data for GenAI use cases. You'll help drive **architecture evolution** as we grow rapidly.