About the role

We are seeking an accomplished Data Engineer to join our dynamic and rapidly expanding Tech Ops division. With significant projected growth, this is an opportunity to drive meaningful technical impact. In this role, you will work directly with customers, data vendors, and internal engineering teams to design, implement, and optimize complex data integration solutions within a modern, large‑scale cloud environment.

You will leverage advanced skills in distributed computing, data architecture, and cloud-native engineering to enable scalable, resilient, and high‑performance data ingestion and transformation pipelines. As a trusted technical advisor, you will guide customers in adopting Abacus’s core data management platform and ensure high-quality, compliant data operations across the lifecycle.

Your day to day

• Architect, design, and implement high-volume batch and real-time data pipelines using PySpark, SparkSQL, Databricks Workflows, and distributed processing frameworks.
• Build end‑to‑end ingestion frameworks integrating with Databricks, Snowflake, AWS services (S3, SQS, Lambda), and vendor data APIs, ensuring data quality, lineage, and schema evolution.
• Develop data modeling frameworks, including star/snowflake schemas and optimization techniques for analytical workloads on cloud data warehouses.
• Lead technical solution design for health plan clients, creating highly available, fault-tolerant architectures across multi-account AWS environments.
• Translate complex business requirements into detailed technical specifications, engineering artifacts, and reusable components.
• Implement security automation, including RBAC, encryption at rest/in transit, PHI handling, tokenization, auditing, and compliance with HIPAA and SOC 2 frameworks.
• Establish and enforce data engineering best practices, such as CI/CD for data pipelines, code versioning, automated testing, orchestration, logging, and observability patterns.
• Conduct performance profiling and optimize compute costs, cluster configurations, partitions, indexing, and caching strategies across Databricks and Snowflake environments.
• Produce high-quality technical documentation including runbooks, architecture diagrams, and operational standards.
• Mentor junior engineers through technical reviews, coaching, and training sessions for both internal teams and clients.

What you bring to the team

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field.
• 7+ years of hands‑on experience as a Data Engineer working with large‑scale, distributed data processing systems in modern cloud environments.
• Working knowledge of U.S. healthcare data domains—including claims, eligibility, and provider datasets—and experience applying this knowledge to complex ingestion and transformation workflows.
• Strong ability to communicate complex technical concepts clearly across both technical and non‑technical stakeholders.
• Expert‑level proficiency in Python, SQL, and PySpark, including developing distributed data transformations and performance‑optimized queries.
• Demonstrated experience designing, building, and operating production‑grade ETL/ELT pipelines using Databricks, Airflow, or similar orchestration and workflow automation tools.
• Proven experience architecting or operating large‑scale data platforms using dbt, Kafka, Delta Lake, and event‑driven/streaming architectures, within a cloud‑native data services or platform engineering environment—requiring specialized knowledge of distributed systems, scalable data pipelines, and cloud‑scale data processing.
• Experience working with structured and semi‑structured data formats such as Parquet, ORC, JSON, and Avro, including schema evolution and optimization techniques.
• Strong working knowledge of AWS data ecosystem components—including S3, SQS, Lambda, Glue, IAM—or equivalent cloud technologies supporting high‑volume data engineering workloads.
• Proficiency with Terraform, infrastructure‑as‑code methodologies, and modern CI/CD pipelines (e.g., GitLab) supporting automated deployment and versioning of data systems.
• Deep expertise in SQL and compute optimization strategies, including Z‑Ordering, clustering, partitioning, pruning, and caching for large‑scale analytical and operational workloads.
• Hands‑on experience with major cloud data warehouse platforms such as Snowflake (preferred), BigQuery, or Redshift, including performance tuning and data modeling for analytical environments.

What we would like to see but not required:

• Experience in large-scale healthcare or payer data environments.

What you’ll get in return :

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements :

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

About the Role

We are hiring a Digital Marketing Manager to own and accelerate our growth engine at Abacus Insights. In this role, you’ll sit at the intersection of creative, strategy, execution, and analytics—driving measurable business impact through high‑performing, audience-focused and data driven campaigns.

You’ll translate our brand and thought leadership into compelling digital experiences, partner closely with sales and product teams, and you’ll optimize performance across channels to fuel lead generation and pipeline growth. If you thrive in a hands‑on, fast‑moving environment and love turning insights into action, this role is for you!

Your day to day

• Define and execute a digital marketing strategy aligned to growth and revenue goals, with a particular focus on brand advertising and product marketing.
• Design and lead targeted, integrated campaigns across the website (SEO/AIO), custom landing pages, video, email, social media, and paid media.
• Own performance across the funnel, optimizing for conversion, efficiency, and pipeline impact.
• Partner with product marketing to align on messaging and priorities.
• Build targeted nurture programs that move prospects through the buyer journey.
• Support segmentation, lead scoring, and lifecycle workflows to improve conversion.
• Leverage analytics and dashboards to uncover insights and growth opportunities.
• Drive campaign-specific social media strategies to amplify thought leadership.
• Continuously evolve strategies using emerging trends, tools, and AI innovations.

What you bring to the team

• Bachelor’s degree in Marketing, Business, Communications, or a related field.
• 5+ years of B2B experience in digital marketing, demand generation, or performance marketing.
• Proven success developing and leading multi‑channel campaigns across web, email, social and paid media.
• Demonstrated ability to apply emerging digital and AI‑driven marketing tools to improve performance and outcomes.
• Hands‑on expertise with HubSpot, Google Ads Manager, LinkedIn Campaign Manager and a data enrichment tool such as Clay or Apollo.io.
• Strong analytical capability with a track record of turning data into actionable insights.
• Experience with A/B testing, audience segmentation, and conversion optimization.
• Clear, confident communicator with the ability to influence cross‑functional stakeholders.
• Highly organized, self‑directed, and comfortable managing multiple priorities simultaneously.

What we’d like to see, but not required

• Experience in health care technology and health data.
• Familiarity with data visualization, dashboards, and advanced reporting tools.
• Experience with content distribution or social advocacy platforms.#LI-MS1

About the role

We are seeking an accomplished Data Engineer to join our dynamic and rapidly expanding Tech Ops division. With significant projected growth, this is an opportunity to drive meaningful technical impact. In this role, you will work directly with customers, data vendors, and internal engineering teams to design, implement, and optimize complex data integration solutions within a modern, large‑scale cloud environment.

You will leverage advanced skills in distributed computing, data architecture, and cloud-native engineering to enable scalable, resilient, and high‑performance data ingestion and transformation pipelines. As a trusted technical advisor, you will guide customers in adopting Abacus’s core data management platform and ensure high-quality, compliant data operations across the lifecycle.

Your day to day :

• Architect, design, and implement high-volume batch and real-time data pipelines using PySpark, SparkSQL, Databricks Workflows, and distributed processing frameworks.
• Build end‑to‑end ingestion frameworks integrating with Databricks, Snowflake, AWS services (S3, SQS, Lambda), and vendor data APIs, ensuring data quality, lineage, and schema evolution.
• Develop data modeling frameworks, including star/snowflake schemas and optimization techniques for analytical workloads on cloud data warehouses.
• Lead technical solution design for health plan clients, creating highly available, fault-tolerant architectures across multi-account AWS environments.
• Translate complex business requirements into detailed technical specifications, engineering artifacts, and reusable components.
• Implement security automation, including RBAC, encryption at rest/in transit, PHI handling, tokenization, auditing, and compliance with HIPAA and SOC 2 frameworks.
• Establish and enforce data engineering best practices, such as CI/CD for data pipelines, code versioning, automated testing, orchestration, logging, and observability patterns.
• Conduct performance profiling and optimize compute costs, cluster configurations, partitions, indexing, and caching strategies across Databricks and Snowflake environments.
• Produce high-quality technical documentation including runbooks, architecture diagrams, and operational standards.
• Mentor junior engineers through technical reviews, coaching, and training sessions for both internal teams and clients.

What you bring to the team :

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field.
• 5+ years of hands‑on experience as a Data Engineer working with large‑scale, distributed data processing systems in modern cloud environments.
• Working knowledge of U.S. healthcare data domains—including claims, eligibility, and provider datasets—and experience applying this knowledge to complex ingestion and transformation workflows.
• Strong ability to communicate complex technical concepts clearly across both technical and non‑technical stakeholders.
• Expert‑level proficiency in Python, SQL, and PySpark, including developing distributed data transformations and performance‑optimized queries.
• Demonstrated experience designing, building, and operating production‑grade ETL/ELT pipelines using Databricks, Airflow, or similar orchestration and workflow automation tools.
• Proven experience architecting or operating large‑scale data platforms using dbt, Kafka, Delta Lake, and event‑driven/streaming architectures, within a cloud‑native data services or platform engineering environment—requiring specialized knowledge of distributed systems, scalable data pipelines, and cloud‑scale data processing.
• Experience working with structured and semi‑structured data formats such as Parquet, ORC, JSON, and Avro, including schema evolution and optimization techniques.
• Strong working knowledge of AWS data ecosystem components—including S3, SQS, Lambda, Glue, IAM—or equivalent cloud technologies supporting high‑volume data engineering workloads.
• Proficiency with Terraform, infrastructure‑as‑code methodologies, and modern CI/CD pipelines (e.g., GitLab) supporting automated deployment and versioning of data systems.
• Deep expertise in SQL and compute optimization strategies, including Z‑Ordering, clustering, partitioning, pruning, and caching for large‑scale analytical and operational workloads.
• Hands‑on experience with major cloud data warehouse platforms such as Snowflake (preferred), BigQuery, or Redshift, including performance tuning and data modeling for analytical environments.

What we would like to see but not required:

• Experience in large-scale healthcare or payer data environments.

What you’ll get in return :

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements :

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

About the Role 

The Principal Sustaining and Forward Deployed Engineer is a senior individual contributor who ensures that Abacus Insights’ customers experience a stable, reliable, and high‑performing platform from day one through long‑term operation.

In this role, you serve as a technical partner to our customers—owning production operations, leading incident response, and safeguarding post‑launch reliability across the Abacus Insights ecosystem.

Your work blends:

• SRE‑driven production operations focused on customer uptime and trust

• SWAT‑style deep technical problem solving to resolve customer‑impacting issues

• Forward‑deployed, customer‑facing engineering to support deployments and escalations

• Hands‑on software development and automation that improves customer experience at scale

You will take ownership of the most complex, ambiguous, and high‑impact production challenges—especially those involving AWS infrastructure, Databricks workloads, and large‑scale data pipelines. You’ll work directly with customers to diagnose issues, guide them through critical moments, and ensure that insights from the field translate into durable improvements across our platform and products.

This is a hands‑on, high‑visibility role. You will lead technically during incidents, debug live systems, and write production‑grade code when it meaningfully enhances reliability, operability, and customer outcomes.

Your day to day

Production Operations & Incident Response

• Act as a senior technical escalation point during production incidents
• Lead real-time incident triage, mitigation, and recovery efforts
• Drive root cause analysis (RCA) with a focus on systemic, long-term fixes
• Identify recurring failure patterns and push for architectural or operational improvements
• Partner with Customer Success and Engineering to manage customer impact during incidents

Sustaining Engineering & Post‑Launch Ownership

• Own post-launch reliability, stability, and operational quality of core systems
• Investigate and resolve complex field issues and production defects
• Ensure fixes developed during incidents or customer escalations are up streamed into the core product
• Improve operational readiness of services through better runbooks, monitoring, and alerting
• Reduce operational toil by converting repeated manual work into automation

Forward Deployed / Customer‑Facing Engineering

• Engage directly with strategic customers to solve real-world, production-grade technical challenges
• Support complex deployments, integrations, and escalations in customer environments
• Act as a trusted technical partner to customers during high-impact issues
• Translate customer learnings into concrete product, platform, and operational improvements
• Contribute to reusable tools, playbooks, and best practices that accelerate future deployments

AWS & Databricks Technical Expertise

• Serve as a subject matter expert for AWS-hosted production systems
• Troubleshoot and resolve issues across:
  • AWS compute, storage, networking, IAM, and security
  • Databricks jobs, clusters, and Spark-based data pipelines
• Debug performance degradation, scalability issues, job failures, and data correctness problems
• Partner with platform and data teams to harden systems for reliability, scale, and operability

Software Development & Automation

• Write production-quality code to:
  • Automate operational workflows
  • Improve reliability and observability
  • Eliminate manual intervention and reduce incident frequency
• Contribute primarily in Python, with exposure to JVM-based systems as needed
• Review code with a strong emphasis on operability, resiliency, and maintainability
• Advocate for “build it so it can be operated” engineering standards

Technical Leadership & Collaboration

• Provide technical leadership without formal authority, influencing design and operational decisions
• Mentor engineers through pairing, reviews, and incident leadership
• Collaborate closely with Product, Engineering, Data, and Customer teams
• Operate effectively in high-pressure, ambiguous environments, especially during customer-impacting incidents

What you bring to the team 

• 10+ years of experience in software engineering, SRE, sustaining engineering, or production operations
• Deep hands-on experience operating production systems in AWS
• Strong experience troubleshooting Databricks and large-scale data platforms
• Proficiency in Python and experience building production services or tooling
• Strong understanding of:
  • Distributed systems
  • Incident management and RCA practices
  • Monitoring, alerting, and observability
  • CI/CD Pipelines that leverage Infrastructure as Code.
• Proven ability to own problems end-to-end, from detection to permanent resolution
• Excellent communication skills, especially during incidents and customer escalations
• Ability to work backward from customer impact to root cause across systems and codebases, delivering fixes in environments with minimal documentation.
• Strong instinct for operational risk, with the ability to proactively identify failure modes and harden systems before they impact customers.

What we would like to see, but not required: 

• Experience in healthcare, health insurance, or regulated data environments
• Familiarity with:
  • Kubernetes (EKS), EMR, Lambda
  • Spark internals
  • Snowflake or similar data warehouses

• Experience with FHIR, MDM systems, or entity resolution
• Prior experience in SWAT, escalation engineering, or tiger-team roles
• Experience contributing to or operating within SRE/on-call programs

Compensation: Compensation for this role is based on experience, skills, and location, and includes base salary plus eligibility for performance bonuses and equity grants.

What you’ll get in return:

• Unlimited paid time off – recharge when you need it
• Work from anywhere – flexibility to fit your life
• Comprehensive health coverage – multiple plan options to choose from
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here
• Home office setup allowance – one-time support to get you started
• Monthly cell phone allowance – stay connected with ease#LI-MS1

About the Role

We are looking for a Data Modeler to join a global data modeling team responsible for transforming business requirements into conceptual and logical data models. This role requires understanding of healthcare data domains (Claims, Membership, Enrollment, Provider, Billing, Interoperability - FHIR, HL7, ADT, CCDA, etc.) and experience in enterprise data modeling best practices.

The Data Modeler will work closely with the Director of Data Modeling and Senior Data Modelers to adhere to data modeling standards, metadata governance, and follow data architecture strategies that align with business and technical needs. They will also collaborate with business analysts, product analysts, client implementation teams, and data governance teams to ensure models support operational and analytical use cases, high performance, and data integrity.

This is an exciting opportunity for a data modeler with experience in Databricks, Snowflake, schema evolution, and modern data engineering practices to shape the future of healthcare data platforms.

Your day to day

Identify and define requirements for canonical data models as well as consumption use cases required by enterprise healthcare customers. Your activities will include:

• Perform data profiling analysis.
• Use SQL, data modeling and data integrity principles.
• Build conceptual and logical data models aligned with enterprise architecture, business requirements and industry standards.
• Follow data modeling best practices, including schema evolution, lossless data modeling, metadata management, and data versioning.
• Use enterprise data modeling tools (Erwin, ER/Studio, DBT, or similar).
• Ensure models support analytical (data science, actuarial, reporting) and operational (Claims, Care Management) use cases.
• Maintain metadata, business glossary, entity relationship diagrams and data dictionaries to support data lineage and governance.
• Partner with Client Management, Product, and Business Analyst teams to understand client needs, assess data model impact, and ensure data models and related artifacts meet or exceed expectations.
• Work with client management teams to provide support and data model expertise during client implementation.

What you bring to the team

• 2+ years of experience in data modeling, enterprise data architecture, and cloud-based data engineering.
• Expertise in enterprise data modeling tools (Erwin, ER/Studio, DBSchema, or similar).
• NoSQL data model experience.
• Strong hands-on experience with cloud data platforms (Databricks, Snowflake) and data lakehouse architectures.
• Deep understanding of healthcare data models across Core Payer (Claims, Membership, Enrollment, Provider, Billing, Premium) and Clinical Interoperability (FHIR, HL7, ADT, CCDA, etc.) domains.
• Experience with schema evolution, lossless data modeling, and data versioning strategies.
• Strong background in SQL, data profiling, and metadata creation and maintenance.
• Ability to learn from senior modelers, enforce modeling best practices, and drive adoption of enterprise data standards.
• Excellent collaboration skills to work with data architects, engineers, and client implementation teams.

What we would like to see, but not required

• Healthcare reporting experience.
• Experience with OBT, data lakehouse, and metadata management frameworks.
• Familiarity with business intelligence (BI) and reporting solutions on modern cloud data warehouses.
• Knowledge of APIs, SDKs, and data distribution frameworks for enabling real-time and batch data access.
• Experience with data governance, security, and regulatory compliance in healthcare data management.

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements 

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

About the Role

We are seeking a Data Governance & AI Trust Manager to define and operationalize the governance framework that enables high‑quality, well‑governed data to safely and effectively power GenAI agents, copilots, and analytics across the company.

As the organization accelerates adoption of Generative AI, the quality, structure, provenance, and clarity of corporate operating data have become critical enablers of AI performance, trustworthiness, and value. This role exists to ensure that the company’s operating data ecosystem is intentionally designed, consistently governed, and fit for AI‑enabled use cases, rather than fragmented, ambiguous, or ad‑hoc.

This role reports to the CISO & CIO and operates as a cross‑functional data governance authority across all company content. It does not own or manage the data itself; content ownership remains with business and platform owners. Instead, this role defines the standards, policies, and operating expectations under which data is created, managed, shared, retained, and made eligible for analytics and GenAI use.

A core responsibility of the role is to set the vision for the company’s internal data ecosystem—including how platforms such as SharePoint, Confluence, Jira, Slack, Teams, and related systems should be used together—and to establish clear operational standards (for example, when content belongs in SharePoint versus Confluence, and how that decision impacts AI use).

Governance is expected to be operationalized through native platform controls and existing enterprise tooling, rather than through standalone or heavyweight governance systems. The role translates governance principles into practical, enforceable standards that improve data quality, reduce ambiguity, and materially improve GenAI outcomes.

This is not a traditional data engineering or compliance analyst role. Success requires strong program ownership, the ability to drive cross‑functional alignment without direct authority, and sound judgment at the intersection of data quality, AI trust, security, and business operations.

Your Day‑to‑Day

Governance Framework Design & Ownership

• Own and evolve the company’s Corporate Operating Data Governance framework
• Define governance standards for unstructured and semi‑structured data across collaboration and productivity platforms
• Establish clear ownership models (Data Owners, Data Stewards, Custodians) for operating data domains
• Ensure governance practices enable business velocity rather than obstruct it
• Operationalize governance through native platform capabilities (e.g., metadata, permissions, retention, labeling, workflows) rather than standalone governance tooling

Metadata, Classification & AI Eligibility

• Define and maintain metadata standards, including:
  • Data classification
  • Purpose of use
  • Lifecycle state
  • AI eligibility and exclusion rules
• Partner with Security and Legal to ensure alignment with privacy, regulatory, and contractual obligations
• Embed metadata and classification standards directly into existing platforms rather than creating parallel systems

Data Quality & Trustworthiness

• Establish fitness‑for‑purpose data quality expectations for corporate operating data
• Define quality signals for:
  • Accuracy
  • Completeness
  • Timeliness
  • Consistency
• Partner with business teams to identify high‑risk or high‑impact data domains
• Ensure AI‑enabled experiences are grounded in authoritative, explainable, and traceable data sources

Lifecycle, Retention & Risk Management

• Define lifecycle expectations for operating data, including creation, maintenance, archival, and deletion
• Coordinate retention and defensibility standards to support legal, compliance, and audit needs
• Reduce long‑term risk from unmanaged or over‑retained unstructured data
• Support eDiscovery and investigation readiness through clarity and traceability

Cross‑Functional Execution & Enablement

• Drive accountability across Product, Engineering, Security, Legal, IT, and Business teams
• Establish practical governance cadences, reporting, and decision forums
• Provide authoritative guidance and operating standards while enabling teams with clear, pragmatic direction
• Foster a data‑aware and AI‑responsible culture through enablement and education rather than enforcement alone

What You Bring to the Team

• 6+ years of experience in data governance, data management, AI governance, security, or related operational leadership roles
• Experience governing unstructured or operational data (e.g., collaboration platforms, knowledge systems, document repositories)
• Strong understanding of data quality concepts and lifecycle management
• Familiarity with AI risk considerations including data provenance, bias, privacy, and misuse
• Demonstrated ability to drive cross‑functional execution without direct authority
• Excellent written and verbal communication skills for executive and technical audiences
• Sound judgment balancing governance rigor with business pragmatism
• High degree of ownership and follow‑through

What We’d Like to See (Not Required)

• Experience supporting AI governance, AI enablement, or responsible AI initiatives
• Exposure to regulated environments (HIPAA, HITRUST, SOC 2, GovRAMP, or similar)
• Familiarity with collaboration platforms such as Jira, Confluence, Slack, and Microsoft 365
• Experience partnering closely with Security, Legal, or Risk teams
• SaaS or data‑platform operating environment experience

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements 

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

About the Role

As a Product Owner in the AI Solutions team, you will play a pivotal role in translating strategic direction into actionable product increments. You will work closely with engineering teams in India, Nepal, and the US to ensure that our generative AI platform delivers measurable value to healthcare payers, with a focus on key business cases (i.e. Payment Integrity) and unstructured data solutions. This is an execution-focused role, responsible for the “how” of delivery and sprint cadence, while closely partnering with the Senior Product Manager who drives the “what” and “why.”

Your day to day

• Create and maintain a structured product backlog for GenAI solutions, ensuring clear problem statements, acceptance criteria, and definitions of done.
• Own GenAI stories in Jira, maintaining distinct boards, sprint cadences, and capacity visibility as defined by team processes.
• Break down high-level product and governance objectives into actionable user stories and tasks.
• Lead grooming sessions with engineers, data modeling, stakeholders, and others to clarify scope, estimate effort, and prioritize work based on business value and readiness.
• Drive sprint planning, coordinate daily stand-ups for the AI team, and proactively remove blockers to ensure commitments are met and deliverables align with the roadmap.
• Define and execute acceptance testing for completed features, verifying that data traceability, outputs, and governance capabilities meet requirements.
• Coordinate with security and compliance to ensure features meet auditability, observability, and hallucination control guardrails.
• Prepare release notes, user guides, and internal training materials; support deployments with DevOps and ensure client-facing documentation reflects new capabilities.
• Act as a liaison between product leadership, engineering, data modeling, and platform teams; communicate progress and issues clearly.
• Track and report on key SDLC metrics (burndown, velocity, throughput, capacity) and maintain a knowledge base of FAQs, lessons learned, and key decisions.
• Champion continuous improvement by applying agile best practices, identifying process bottlenecks, and leveraging AI tools for backlog management and documentation.

What you bring to the team

• 3+ years as a Product Owner or similar role in a data-driven environment, ideally supporting AI, data platforms, or healthcare products.
• Experience working with distributed engineering teams, preferably across US and India time zones, and familiarity with Scrum/Agile methodologies and tools (e.g., Jira, Confluence).
• Demonstrated ability to translate strategic product direction into actionable backlog items, groom stories with engineers, and manage sprint cadence.
• Strong understanding of the software development lifecycle (SDLC) and release management, with the ability to coordinate acceptance testing and quality assurance.
• Exposure to healthcare data (claims, clinical, or payer workflows) and AI/ML technologies.
• Excellent communication and organizational skills; comfortable interfacing with technical and non-technical stakeholders across product, engineering, security, and sales.
• Fluency in English (required for India-based roles).

What we would like to see, but not required

• Experience with healthcare interoperability standards (e.g., HL7 V2, FHIR, X12).
• Experience with cloud technologies (AWS, Azure, GCP), Databricks, or Snowflake.
• Prior work in a high-growth, fast-paced startup environment.

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements 

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

About the Role

The Client Success Director is a high‑impact role designed for a leader who thrives on ownership and accountability. You are the single, accountable owner for a portfolio of healthcare clients, with end‑to‑end responsibility for client outcomes and the overall P&L health of your portfolio. While this is an individual contributor role, it operates at a General Manager level. Accountability is not shared or escalated—you are the owner of results.

You hold a true seat at the table, driving meaningful business results including retention, growth, and measurable value delivered through Abacus solutions. You think and act like a business owner, treating your portfolio as if it were your own, and making decisions accordingly.

You serve as both the voice of the customer inside Abacus and the face of Abacus to your clients. You build deep, trust‑based relationships with C‑suite and senior executives, operating as a strategic advisor who understands your clients’ businesses as well as—often better than—they do. By deeply understanding each client’s strategy, pressures, and competitive landscape, you anticipate what’s coming next, proactively identify expansion opportunities, and mitigate risk well before it becomes an escalation.

Success in this role requires leading through influence. You routinely mobilize cross‑functional teams—including Client Data Engineering, Product, PMO, Analytics, and Client Requirements—to deliver exceptional outcomes, despite having no direct authority over them. You build alignment, create urgency, and drive execution, stepping forward to own challenges, champion solutions, and ensure follow‑through—while giving credit to the teams who help make it happen.

This role is ideal for a builder and business owner at heart—someone energized by complexity, ambiguity, and pace. You don’t wait for perfect clarity; you create it. You communicate with executive presence, distill complexity into decisive action, and move seamlessly between strategic leadership and hands‑on problem solving. If you’re motivated by real accountability, visible impact, and the opportunity to shape both client success and company growth, this role offers that challenge—at scale.

What You Are Accountable For

• Client Outcomes, Not Activities. You own the results your clients achieve with the Abacus platform — retention, satisfaction, and measurable business value. You are not managing tasks; you are delivering outcomes.
• Executive Relationships & Trust. You build and sustain C-suite and VP-level relationships with your clients. You are a credible, consultative partner who earns a seat at the table — not just a point of contact.
• Portfolio Growth. You identify whitespace, connect client needs to expansion opportunities, and partner with Sales to grow your accounts. You think commercially and treat your portfolio like a business you own.
• Proactive Risk Management. You know your clients' business deeply enough to sense risks before they surface. You don't wait for escalations — you anticipate them, raise them early, and drive resolution across teams.
• Cross-Functional Influence. You mobilize Client Data Engineering, Product, PMO, and Analyst teams — none of whom report to you — to deliver for your clients. Your ability to lead through influence, not authority, is the engine of your success.
• Voice of the Customer. You translate client needs, feedback, and market context into actionable insight for internal teams, ensuring Abacus builds and delivers what clients actually need — not just what's on the roadmap.
• Client Satisfaction & Loyalty. You maintain the highest levels of client satisfaction (CSAT/NPS) and create an environment where clients want to expand their partnership with Abacus.
• Escalation Ownership. You are the single point of accountability for all client escalations. You own the resolution, the communication, and the follow-through — end to end.

What You Bring to the Team

What we would like to see, but not required

• Prior experience operating as a General Manager, P&L owner, or franchise-style leader for a client portfolio or business unit.
• Familiarity with healthcare interoperability standards (e.g., CMS-0057, FHIR, HL7) and the regulatory landscape affecting health plans.
• PBM domain knowledge — you understand the business of pharmacy benefits management, including how data drives decisions around rebates, formularies, networks, claims adjudication, utilization, and operations.
• Experience with cloud technologies and modern data platforms (data lakes, analytics, GenAI-enabled workflows).
• Track record of growing accounts through consultative selling, upsell, and cross-sell in partnership with Sales teams.
• Exposure to healthcare payer operations — claims, enrollment, provider networks, quality programs, or value-based care models.

Compensation: Compensation for this role is based on experience, skills, and location, and includes base salary plus eligibility for performance bonuses and equity grants.

What you’ll get in return

• Unlimited paid time off – recharge when you need it
• Work from anywhere – flexibility to fit your life
• Comprehensive health coverage – multiple plan options to choose from
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here
• Home office setup allowance – one-time support to get you started
• Monthly cell phone allowance – stay connected with ease#LI-MS1

About the Role

The Abacus Insights Growth team is expanding—again. We’re hiring a Director, Strategic Accounts (DSA) to accelerate revenue growth within our existing strategic customer portfolio by deepening adoption and expanding how customers use our platform and solutions. 

Reporting to the Vice President, Business Development, you’ll operate as a trusted advisor to senior customer stakeholders—connecting their highest‑priority business needs to tailored, high‑value solutions across the Abacus product portfolio. If you’re energized by complex enterprise selling, consultative problem‑solving, and building long-term executive relationships that translate into measurable outcomes, this role is for you. 

Your day to day

• Grow and expand a portfolio of existing health insurance customers by deeply understanding their priorities and mapping them to high-impact solutions across Abacus’s product suite. 
• Lead the full sales cycle from discovery to close—owning everything from initial outreach and executive presentations to RFIs, multi-day workshops, RFPs, negotiations, and deal signing. 
• Consistently deliver against a seven-figure quota across Abacus Insights’ most strategic payer customers. 
• Collaborate cross-functionally with Product, Marketing, Customer Success, Delivery, and Finance to craft compelling proposals, unlock expansion, and drive strong retention. 
• Bring a consultative, problem-solving approach—helping customers connect their challenges to clear value, building momentum from first conversation through signed growth initiatives. 

What you bring to the team

• 8+ years of sales experience, with a strong track record in account growth / expansion within existing enterprise customers. 
• 5+ years working with or for healthcare payers, with the credibility to engage senior stakeholders and navigate complex buying environments. 
• A strong grasp of cloud and modern data platforms (e.g., AWS, Azure, GCP, Databricks, Snowflake) and comfort positioning data-enabled products to business and technical audiences.
• Extensive customer-facing experience in senior roles, including the ability to effectively communicate and influence C-level executives and various levels of technical and non-technical depth within client teams.
• Executive presence, sharp discovery skills, and the ability to translate customer needs into tailored solutions that drive measurable impact. 

What we would like to see but not required

• Experience selling into both technology and payer environments (e.g., you’ve been inside a payer and/or sold to them from a vendor). 

• Consulting experience in the healthcare vertical. 

Compensation: Compensation for this role is based on experience, skills, and location, and includes base salary plus eligibility for performance bonuses and equity grants.

What you’ll get in return:

• Unlimited paid time off – recharge when you need it
• Work from anywhere – flexibility to fit your life
• Comprehensive health coverage – multiple plan options to choose from
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here
• Home office setup allowance – one-time support to get you started
• Monthly cell phone allowance – stay connected with ease #LI-SB1 #LI-Remote

About the Role 

As a People and Culture Business Partner, you will play a pivotal role in shaping the employee experience and people strategy for Nepal while working closely with the Director of People & Culture, APAC on high‑impact regional priorities. This is a visible, hands‑on role designed for someone who thrives at the intersection of culture, performance, and growth—and wants to help build the people foundations of a scaling, tech‑driven organization. 

You’ll act as a trusted advisor to leaders and employees, influencing how teams work, grow, and succeed every day. From performance and engagement to leadership development and culture‑building initiatives, you’ll bring people strategies to life in a way that resonates locally while aligning with global standards and best practices. You’ll also play a key role in strengthening belonging, inclusion, and connection across teams—using both human insight and modern HR tools to drive consistency, efficiency, and impact. 

If you’re excited by the opportunity to partner with leaders, use technology and data to elevate employee experience, and leave a visible mark on how teams thrive, this role offers both scope and momentum. 

Your day to day 

• Partner closely with the Director of People & Culture, APAC to execute regional people programs and deliver priority initiatives across the APAC region.
• Serve as the primary People Business Partner for Nepal, supporting cross‑functional and technical teams with people matters including performance conversations, team effectiveness, and workforce needs.
• Design and deliver engaging employee experience initiatives—such as engagement surveys, culture programs, and well‑being efforts—tailored to local teams and informed by data.
• Drive the execution of core people processes including goal setting, performance reviews, and feedback cycles, ensuring a fair, consistent, and well‑communicated experience.
• Implement and continuously improve HR policies and processes, balancing local labor law requirements with global frameworks and best practices.
• Collaborate with Learning & Development to support onboarding, leadership development, and people‑leader capability programs.
• Leverage HR systems and people analytics to identify trends, surface risks (e.g., engagement, attrition, performance), and recommend clear, actionable solutions to senior P&C stakeholders. 

What you bring to the team 

• Minimum 5 years of experience in People & Culture or HR, including 2–3 years in a HR Business Partner or generalist role—ideally within a tech, product, or high‑growth environment.
• Strong working knowledge of HR practices and employment laws in Nepal; experience supporting multi‑country or regional teams is a plus.
• Hands‑on experience with HR tools including HRIS platforms, performance or engagement tools, and people analytics or reporting dashboards.
• Proven experience supporting performance cycles, employee engagement initiatives, onboarding programs, and policy implementation.
• Data‑driven mindset, with the ability to interpret people insights and translate them into practical recommendations.
• Strong communication and relationship‑building skills, with the credibility to partner effectively across levels, teams, and cultures.
• Comfort operating in a fast‑paced environment while managing multiple priorities with strong attention to detail.
• Cultural agility and the ability to navigate local and global perspectives with empathy and confidence.
• Fluency in English (written and spoken) to collaborate effectively in a regional and global setting.
• Bachelors or Master's degree in HR, Business Management, or a related field.] 

What we would like to see, but not required 

• Background supporting technology organizations and collaborating with international teams.
• Practical experience leveraging HR tools, systems, and analytics to elevate employee experience and inform people strategy. 

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Working Arrangements

• Standard hours: 9 hours/day, 5 working days
• Location: Onsite
• Shift: 10 AM – 7 PM local time

About the Role

We are seeking a Senior Data QA Engineer to own and elevate data quality across our data platforms and client solutions. In this role, you will lead complex data validation efforts, shape testing strategies, and act as a trusted partner to Engineering, Product, and Operations. You’ll set standards for data quality, drive automation, and help ensure the delivery of reliable, production‑grade data solutions at scale.

Your Day to Day

• Lead data quality strategy and execution across multiple projects and datasets.
• Partner closely with Engineering, Product, Operations, and Project Management to influence data design and quality outcomes early in the lifecycle.
• Perform advanced data analysis and validation on large‑scale, client‑specific and healthcare datasets.
• Design, execute, and review complex test plans and test cases, including automated and manual testing approaches.
• Identify systemic data quality risks, drive root‑cause analysis, and partner with teams through resolution.
• Define, refine, and document QA standards, best practices, and verification protocols.
• Mentor junior QA engineers and provide guidance on testing methodologies and data validation techniques.
• Contribute to continuous improvement of QA processes, tooling, and workflows.

What You Bring to the Team

• Bachelor’s degree in Computer Science, Health Science, or a related field (or equivalent practical experience).
• 5+ years of experience in data quality, data QA, or testing roles within data‑driven environments; healthcare experience strongly preferred.
• Advanced SQL skills with the ability to validate, troubleshoot, and reason about complex datasets.
• Strong understanding of data pipelines, integrations, and large‑scale data systems.
• Experience working with healthcare data domains such as enrollment, claims, and provider data.
• Demonstrated ability to lead QA efforts, influence cross‑functional teams, and operate with a high degree of ownership.
• Excellent analytical, problem‑solving, and prioritization skills in fast‑moving environments.
• Strong communication skills, with the ability to explain data quality issues and risks to both technical and non‑technical stakeholders.
• Deep understanding of QA methodologies, testing frameworks, and best practices.

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements 

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

About the Role

We are seeking an experienced Business Solution Manager to support client engagements by translating business needs into effective, data‑driven solutions. This role partners closely with clients and internal teams to define requirements, validate solutions, and ensure successful delivery across a range of business domains and data use cases.

Your day to day

Client Solutions & Requirements Management

• Lead client requirements gathering and analysis in partnership with subject matter experts
• Develop clear, structured Business Requirements Documents (BRDs) including acceptance criteria and non‑functional requirements
• Translate client needs into solution deliverables such as reports, dashboards, data extracts, and analytical views

 Solution Validation & UAT

• Validate delivered solutions against documented requirements and acceptance criteria
• Support and coordinate User Acceptance Testing (UAT) with client teams, working in alignment with internal QA resources

 Cross‑Functional Collaboration

• Partner with Product, Engineering, Account Management, Program Management, and Sales teams to deliver client solutions
• Contribute client insights to product roadmap discussions and solution improvements

 Client Relationship & Enablement

• Act as a trusted client partner throughout implementation and ongoing engagement
• Support client onboarding, training, and enablement activities
• Assist internal teams in understanding client use cases and solution intent

 Product & Process Improvement

• Maintain strong awareness of product capabilities, enhancements, and releases
• Identify opportunities to improve processes, solution quality, and client satisfaction

What you bring to the team

• Bachelor’s degree in Business, Computer Science, Information Systems, or equivalent relevant professional experience
• 5+ years of experience in business analysis, solution management, or client‑facing roles in software or data‑driven environments
• Proven experience gathering, documenting, and validating business requirements
• Ability to communicate effectively with both technical and non‑technical audiences
• Strong organizational skills with the ability to manage multiple priorities
• Analytical, detail‑oriented problem solver with a collaborative mindset
• Self‑motivated, adaptable, and comfortable working in a fast‑paced environment

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements 

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

About the role 

We are seeking an accomplished Senior Data Engineer to join our dynamic and rapidly expanding Tech Ops division. With significant projected growth, this is an opportunity to drive meaningful technical impact. In this role, you will work with internal engineering teams to design, implement, and optimize complex data integration solutions within a modern, large‑scale cloud environment. 

You will leverage advanced skills in distributed computing, data architecture, and cloud-native engineering to enable scalable, resilient, and high‑performance data ingestion and transformation pipelines. As a trusted technical advisor, you will ensure high-quality, compliant data operations across the lifecycle. 

Your day to day 

• Architect, design, and implement high‑volume batch and real‑time data pipelines using PySpark, SparkSQL, Databricks Workflows, and distributed processing frameworks.
• Build end‑to‑end ingestion frameworks integrating Databricks, Snowflake, AWS services (S3, SQS, Lambda), and vendor APIs, ensuring data quality, lineage, and schema evolution.
• Design and optimize data models (star/snowflake schemas) and apply performance tuning techniques for analytical workloads on cloud data warehouses.
• Translate complex business requirements into detailed technical specifications, reusable engineering components, and implementation artifacts.
• Establish and enforce data engineering best practices, including CI/CD for data pipelines, version control, automated testing, orchestration, logging, and observability.
• Drive performance and cost optimization through profiling, cluster tuning, partitioning, indexing, caching, and compute optimization across Databricks and Snowflake.
• Ensure operational excellence and team growth by producing high‑quality documentation (runbooks, architecture diagrams), monitoring and troubleshooting production pipelines, performing root‑cause analysis, and mentoring junior engineers.

What you bring to the team 

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field, with 5+ years of hands‑on experience as a Data Engineer building and operating large‑scale, distributed data systems in modern cloud environments.
•  Proven ability to clearly communicate complex technical concepts and solutions to both technical and non‑technical stakeholders.
•  Expert‑level proficiency in Python, SQL, and PySpark, including development of distributed transformations and performance‑optimized queries.
• Demonstrated experience designing, building, and operating ETL/ELT pipelines using Databricks, Airflow, or similar orchestration and workflow automation tools.
• Proven experience architecting or operating large‑scale data platforms using DBT, Kafka, Delta Lake, and event‑driven or streaming architectures in cloud‑native data or platform engineering environments.
• Strong working knowledge of AWS data services (S3, SQS, Lambda, Glue, IAM or equivalents), structured and semi‑structured data formats (Parquet, ORC, JSON, Avro), schema evolution, and optimization techniques.
• Hands‑on experience with Terraform and CI/CD pipelines (e.g., GitLab), deep expertise in SQL and compute optimization (partitioning, clustering, Z‑Ordering, pruning, caching), and performance tuning on cloud data warehouses such as Snowflake (preferred), BigQuery, or Redshift

What we would like to see but not required: 

• Working knowledge of U.S. healthcare data domains—including claims, eligibility, and provider datasets—and experience applying this knowledge to complex ingestion and transformation workflows. 

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Working Arrangements

• Standard hours: 9 hours/day, 5 working days
• Location: Onsite
• Shift: 10 AM – 7 PM local time

About the role

Our Solution Architecture team is looking to bring on an experienced Solution Architect to support both ongoing and new implementations.  We see significant growth in our future and would love for you to be a part of it! You will partner with customers and numerous internal teams to craft highly scalable, flexible and resilient cloud architectures that provide solutions to solve customer business problems and accelerate the adoption of Abacus’ offerings. As a solutions architect, you will demonstrate best practices around advanced cloud solutions and healthcare payer systems including claims processing (i.e., Medical, Vision, Prescription claims), clinical informatics (e.g., Lab Results), provider systems such as EHR, and CMS Interoperability Mandate solutions.  As a trusted customer advocate, you will have the opportunity to guide a client’s successful adoption of Abacus’ core data management offerings as well as data solutions such as CMS Interoperability, HEDIS and Payment Integrity.

Your day to day

• Collaborate with customers’ business and IT teams to understand the current business and system capabilities and determine the desired state to define the overall technology strategy roadmap
• Author the project architecture design documents, including data flows, sequence diagrams and overall system architecture, that will drive the technical implementation of the solutions.
• Work closely with cross-functional Abacus teams, including business experts, technical business analysts, project managers, sales / account executives and data engineers to successfully implement client projects which reduce technology costs and solution redundancy.
• Collaborate with Product Management to identify client-specific requirements that may translate into an existing standard product feature or a future feature on the Abacus product roadmap.
• Define the solution architecture visions for designated components that describe the long-term goals as well as near-term needs of the client.
• Provide mentorship to internal teams on business needs and use cases for seamless client implementation. Provide ongoing support to address questions and issues raised by the implementation team.

What you bring to the team

• 5 – 7 years of experience in the healthcare IT space, including prior experience in a customer-facing technical role
• Understanding and passion for healthcare data and systems – including payer, provider, and integration partners. Strong working knowledge of US healthcare data, including but not limited to Medical Claims, Pharmacy Claims, Membership / Enrollment, Provider and Clinical.
• Strong communication skills to leverage their domain and technical expertise effectively with the client and build working relationships with internal and external team members. Ability to communicate succinctly and clearly, both verbally and written, across technical and non-technical audiences at multiple levels, including business leaders.
• Working knowledge of GenAI and agentic AI strategies, implementation and governance with a focus on leveraging for efficiency improvements.
• Working knowledge of CMS Interoperability Mandate (9115 / 0057).
• Broad technical knowledge as well as competencies in infrastructure, data models, databases, programming, frameworks, standards, and technical modeling. Strong experience with one or more cloud vendors (AWS / Azure / GCP) and data platforms (Databricks / Snowflake) desired.
• Ability to define the solution architecture vision in architecture design documents
• Experience translating business needs into technology solutions that enable delivery of the Abacus platform.
• Experience working in the payer / healthcare data space and understanding of the historical data architecture needs of our clients.

What we would like to see, but not required:

• Working knowledge of:
  • Provider (EHR) data formats and topics – including FHIR, X-12, HL-7 V2.3, and CCDA/CDA - as well as the general system architecture required to consume and make use of this data.
  • Utilization Management / Care Management / Disease Management business processes / data structures.
  • Medicaid data sets, specifically T-MSIS (Transformed Medicaid Statistical Information System) and how it is used by Medicaid plans.
  • Master Data Management (MDM) processes, tools and strategies.

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Working Arrangements

• Standard hours: 9 hours/day, 5 working days
• Location: Onsite
• Shift: 1PM - 10 PM local time

About the Role

The Site Reliability and Forward Deployed Engineer is an experienced individual contributor responsible for supporting production operations, incident response, and post‑launch reliability across the Abacus Insights platform.

This role combines:

• Production operations and reliability engineering
• Deep technical problem-solving during incidents and escalations
• Customer‑facing technical support for deployments and issues
• Hands‑on software development and automation

You will work on complex production issues involving AWS infrastructure, Databricks workloads, and data pipelines, partnering closely with senior engineers and platform teams. You will engage with customers during escalations and deployments and help translate learnings into product and operational improvements. This is a hands‑on role. You are expected to actively participate in incidents, debug live systems, and write production code that improves system reliability and operability, with guidance from senior technical leaders.

Your day to day

• Act as a technical escalation point during production incidents, leading real‑time triage, mitigation, and recovery efforts.
• Drive root cause analysis (RCA) and ensure follow‑up remediation and reliability improvements are completed and tracked.
• Support post‑launch reliability by investigating and resolving production defects and field‑reported issues.
• Partner closely with Engineering, Data, and Customer Success teams to support customers during high‑impact incidents and escalations.
• Improve operational readiness through better runbooks, monitoring, alerting, and incident response practices.
• Work directly with customers on complex deployments, integrations, and production troubleshooting in customer environments.
• Write production‑quality code (primarily Python) to automate operational workflows, improve observability, and reduce manual toil.
• Support and troubleshoot AWS‑ and Databricks‑based production systems, including performance, scalability, and data correctness issues.
• Capture learnings from incidents and customer engagements and translate them into reusable tools, documentation, and product improvements.

What you bring to the team

• 3 - 5 years of experience in software engineering, SRE, sustaining engineering, or production operations
• Hands‑on experience supporting production systems in AWS
• Experience troubleshooting large‑scale data platforms or Databricks
• Proficiency in Python and experience building or supporting production services or tooling
• Working knowledge of:
  • Distributed systems fundamentals
  • Incident response and RCA practices
  • Monitoring, alerting, and observability
  • CI/CD pipelines and Infrastructure as Code concepts
• Strong communication skills during incidents and customer interactions
• Ability to take ownership of issues through resolution with support and guidance
• Good operational judgment and willingness to learn how to proactively reduce risk

What we would like to see, but not required

• Experience in regulated or healthcare data environments
• Familiarity with Kubernetes (EKS), EMR, Lambda, Spark internals, Snowflake, Databricks or similar data warehouses
• Experience participating in on‑call or SRE programs
• Prior customer‑facing or escalation engineering experience

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Working Arrangements

• Standard hours: 9 hours/day, 5 working days
• Location: Onsite
• Shift: 1 PM - 10 PM local time

About the Role:

As a Product Owner at Abacus Insights, you will play a pivotal role in bringing to market a cutting-edge cloud data platform which enables an industry leading data usability for healthcare payers, ultimately enabling them to turn their vast data into insights that drive improved outcomes. This role requires a robust background in software development or data engineering to effectively translate high-level product vision and customer needs into detailed requirements. You will be working collaboratively with engineering and stakeholders from across the organization to ensure the development of features that optimize value and meet customer needs. As a key member of the product team, you will be responsible for managing Abacus products throughout their lifecycle to include opportunity identification, demand intake, roadmap management, requirement development and analysis, story grooming, design reviews, product acceptance, go-to-market, and sunset planning. This role requires a person who can successfully manage across all aspects of product management while keeping focused on delivering true customer ROI and excelling as a technical translator of business need into technical specifications.

Your day to day: 

• Translate the strategic direction set by the Product Manager into specific product features and oversee development of these features efficiently within the agile framework.
• Support engineers comprehensively throughout all aspects of the Software Development Life Cycle (SDLC), providing guidance, insights, and assistance as necessary.
• Assume end-to-end responsibility for the lifecycle of product features you own
• Act as the primary translator between business needs and technical requirements, effectively bridging the gap to ensure alignment between stakeholders and engineering teams.
• Work with cross-functional teams to analyze current product performance and identify areas for improvement.
• Communicate comprehensive updates, progress reports, and insights related to the product's development to company leadership and other audiences.
• Collaborate with stakeholders, customers, and the development team to gather comprehensive requirements and document customer scenarios, pain points, and success criteria for product feature-sets and features.
• Estimate anticipated impact of each product feature and craft effective value statements to be used in roadmap prioritization.
• Create, prioritize, and manage the product backlog to ensure that the team is working on the most valuable items first.
• Ensure that the development team understands the scope and complexity of the tasks and can accurately estimate the level of development effort.
• Participate in sprint planning, reviews, and retrospectives, ensuring that the development team is building the product as envisioned and meeting the acceptance criteria.
• Act as the primary liaison between stakeholders and the development team, conveying updates, managing expectations, and gathering feedback.
• Ensure visibility, transparency, and clarity of the product backlog for all stakeholders involved.
• Manage product acceptance testing phases to ensure features not only add value but also align with customer needs.
• Coordinate release activities to ensure seamless deployment.
• Prepare relevant documentation and conduct internal user training for new features.
• Collaborate with client management to ennsure they have what they need to support our clients in optimizing the impact of the product.

What you bring to the team:

• A deep understanding of data software engineering or a minimum of 3 years of software development or data engineering experience.
• Domain expertise in shipping Software as a Service (SaaS) products.
• Deep domain expertise in cloud technologies, including AWS, Azure and/or GCP.
• Skilled in database concepts and tools (preferably on Databricks and Snowflake).
• Deep understanding of the data platform R&D processes and agile methodologies.
• Experience with big data, ETL and data pipelines, security and privacy, DevOps, or automation.
• BS or MS in Computer Science, or related fields, or equivalent experience in a technical product owner role or an adjacent position.
• Proven ability to influence and coordinate cross-functional teams to execute plans in highly technical environments.
• Exceptional communication skills critical for translating business requirements into technical specifications, and communicating with technical and non-technical audiences.
• Well-developed strategic-thinking skills, with the ability to inspire and lead others.
• A highly proactive get it done attitude and the skills to back it up.
• Demonstrated ability to thrive in a fast-paced, dynamic startup environment.

What we would like to see, but not required:

• US Healthcare Payor or Provider industry experience.
• Experience with healthcare interoperability standards such as HL7 V2, FHIR and X12.
• Experience with integrating or implementing healthcare-related EMPI/MDM workflows.

What you’ll get in return :

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements :

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

About the Role:
As a skilled and mission-driven Senior Software Engineer, you will lead, direct, drive and participate in the day-to-day operations of a team of software, and UI/UX engineers working closely with QA engineers, product owners and business.  You provide technical leadership for multiple, diverse, and geographically distributed teams. You will coach and guide teams to enable future success. Also be a partner with engineering managers, directors and VP on strategic initiatives and future business growth opportunities especially around AI and ensuring the engineering organization can scale to meet the need.

As a member of the engineering team, you are responsible for coaching, mentoring, managing, and leading the talent within an agile environment.

Your day to day:

• Help shape the direction of our data solution features in our products. Drive the deployment of state-of-the-art data products and user experiences that directly impact on the capabilities and performance of Abacus’s products and services (e.g., Data Solution UI/UX)
• Work closely with cross-functional teams, including AI engineers, data engineers, and product teams, to deliver impactful data solutions that enhance user experience with our data products
• Skillful at driving critical projects (e.g. Data products engineering and Innovation, Development Productivity and Benchmarking)
• Adept at clear, confident communication with executive staff
• Meaningful experience in the world of Data, UI/UX and AI
• Capable of credible customer interactions
• Mentoring development team members to ensure delivered solutions adhere to the software architecture strategy, coding standards, and established organizational policies and procedures
• Participating in software architectural discussions, influencing decisions, and collaborating with peers to maintain consistency across the organization
• Identifying people and process improvement strategies for the Agile/Scrum team(s)
• Communicate organizational updates to ensure teams adhere to the established policies and procedures
• Help shape the roadmap and execute its delivery
• Ensure projects are completed on time and according to our quality standards
• Facilitates communication upward around architecture, design, and implementation objectives
• Proven experience in leading software development teams or projects
• Excellent knowledge of software development and UI/UX design, QA and test automation, and experience with agile development methodologies
• Demonstrated knowledge of UI/UX, Cloud Architecture, AI Architecture, Massive Parallel Processing (MPP) compute frameworks for Data+AI platforms, and Security, 
• Good understanding of Incident Management, Configuration Management, Operational efficiency and Customer Escalation Management preferred. Can manage the balance of delivering on our roadmap commitments while dealing with interruptions and client escalations
• Good experience with open source
• Coach and mentor software developers, develop staff skills, provide continuous feedback (i.e. one on ones) and are responsible for annual reviews.  
• Has relentlessly high standards (is never satisfied with the status quo)
• Innovation and outside the box thinking
• Has passion and conviction and the innate ability to inspire passion in others
• Responsible for protecting, securing, and proper handling of all confidential data held by Abacus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Abacus or our clients.

What you bring to the team :

• Full-stack development experience with strong UI/UX knowledge
• Minimum of 5 years of UI/UX experience.  Programming experience with React, JavaScript or similar UI/UX technology.  Experience with AI assisted UI/UX creation and building UI/UX on top of data systems (i.e. Streamlit and BI on top of Databricks and/or Snowflake).  Experience with dashboard creation using BI (i.e. Tableau, PowerBI, etc.)
• Minimum of 2 years of experience with Data Lakehouse, ideally Databricks.  SQL and Python query experience
• Ability to drive end-to-end UI/UX and system development, from research and prototyping to deployment and monitoring
• Strong analytical and problem-solving skills, with a passion for improving UI/UX-driven user experiences
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, debugging, code reviews and deployment
• Possesses a level of breadth and depth of software and UI/UX development experience that allows for influence and competence in technical discussions with internal and external stakeholders
• Solid understanding of roles adjacent to the software development (product management, project management, client delivery, operations etc.). Ability to adapt to these roles as defined at Abacus and work with others in these roles
• Proven record of success of driving projects towards delivering production grade systems supporting customers
• Nice to have experience with, but not required: Snowflake, FHIR, Healthcare Data exposure

What you’ll get in return :

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements :

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

About the Role:
As a Senior AI Engineer, you will help architect, build and implement our AI platforms, working closely with data quality engineers, data/software engineers, platform engineers, DevOps, product owners and business.  You provide technical leadership for multiple, diverse, and geographically distributed teams. You will coach and guide teams to enable future success. Also be a partner with engineering managers, directors and VP on strategic initiatives and future business growth opportunities especially around AI and ensuring the engineering organization can scale to meet the need.

As a member of the engineering team, you are responsible for coaching, mentoring, and driving change to enable us to better deliver and innovate in an agile environment.

Your day to day:

• Help shape the direction of our applied AI areas and intelligence features in our products. Drive the deployment of state-of-the-art AI models and systems that directly impacts on the capabilities and performance of Abacus’s products and services (e.g., Abacus Agents, MCP, SQL and RAG agents and tools, etc.)
• Develop novel data collection, fine-tuning, and LLM technologies that achieve optimal performance on specific tasks and domains
• Design and implement ML/AI pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation, iteration and self-healing
• Work closely with cross-functional teams, including AI engineers, data engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction
• Build scalable, reusable backend systems to support GenAI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model and GenAI system performance
• Skillful at driving critical projects (e.g. AI and data engineering Innovation, Development Productivity and Benchmarking)
• Meaningful experience in the world of Data and AI
• Capable of credible customer interactions
• Mentoring development team members to ensure delivered solutions adhere to the software architecture strategy, coding standards, and established organizational policies and procedures
• Participating in software architectural discussions, influencing decisions, and collaborating with peers to maintain consistency across the organization
• Identifying people and process improvement strategies for the Agile/Scrum team(s), especially for AI projects/teams where innovation and iteration are critical
• Communicate organizational updates to ensure teams adhere to the established policies and procedures
• Ensure projects are completed on time and according to our quality standards
• Facilitates communication upward around architecture, design, and implementation objectives
• Proven experience in leading software development teams or projects
• Excellent knowledge of software development design, QA and test automation, and experience with agile development methodologies
• Demonstrated knowledge of Cloud Architecture, AI Architecture, Agents/Agentic systems, Massive Parallel Processing (MPP) compute frameworks for Data+AI platforms, Security, and MCP/API based services
• Good understanding of Incident Management, Configuration Management, Operational efficiency and Customer Escalation Management preferred. Can manage the balance of deliveries on our roadmap commitments while dealing with interruptions and client escalations
• Good experience with open source
• Coach and mentor software and AI developers, develop staff skills, provide continuous feedback 
• Has relentlessly high standards (is never satisfied with the status quo)
• Responsible for protecting, securing, and proper handling of all confidential data held by Abacus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Abacus or our clients.

What you bring to the team:

• Minimum of 3 years of ML/AI engineering experience in high-velocity, high-growth companies. Alternatively, a strong background in relevant ML/AI research in academia will be considered as contributing qualification
• Minimum of 3 years of experience as a software developer at some point in career
• Minimum of 2 years of experience with Databricks, Mosaic AI Gateway and associated technologies in Databricks stack related to Data and AI engineering
• Strong track record of working with language modeling technologies and GenAI. This could include the following: Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, evaluation benchmarks, Agents and Agentic workflows (e.g. orchestration, workflow management, observability, debugging), RAG, SQL Agents, MCP, etc.
• Proficiency in Python, TensorFlow/PyTorch, and scalable ML/AI architecture
• Ability to drive end-to-end model and system development, from research and prototyping to deployment and monitoring
• Strong analytical and problem-solving skills, with a passion for improving AI-driven user experiences
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment
• Experience and good understanding of designing scalable, distributed systems for running small to medium scale data processing applications and services (10s – 100s of TBs of data)
• Possesses a level of breadth and depth of software and AI development experience that allows for influence and competence in technical discussions with internal and external stakeholders
• Solid understanding of roles adjacent to the software development (product management, project management, client delivery, operations etc.). Ability to adapt to these roles as defined at Abacus and work with others in these roles
• Proven record of success of driving and/or leading engineering teams/projects towards developing production grade systems supporting customers
• Nice to have experience with, but not required: Snowflake, FHIR, Healthcare Data exposure

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements 

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

About the Role:

We are seeking an experienced Senior Data QA Engineer to lead the design and implementation of comprehensive data quality testing strategies for our data platforms and pipelines. In this role, you will be responsible for ensuring data integrity, accuracy, and reliability across our data ecosystem through advanced testing methodologies and automation frameworks.

Your day to day:

• Design and implement end-to-end data quality testing strategies for data pipelines, ETL/ELT processes, and data warehouses
• Develop automated data validation frameworks to verify data accuracy, completeness, and consistency
• Create and maintain data quality metrics, monitor dashboards, and alert mechanisms
• Perform complex SQL queries to validate data transformations and business logic
• Design test cases for data ingestion, processing, and consumption layers
• Collaborate with data engineers, data scientists, and analysts to understand data requirements and quality standards
• Lead root cause analysis for data quality issues and implement preventive measures
• Mentor junior QA engineers and establish data testing best practices

What We're Looking For:

• Bachelor’s or master’s degree in computer science, Business Administration, or comparable professional experience
• Minimum 5 years of data quality assurance expertise within healthcare technology companies or health insurance organizations
• Proficient in complex data transformation and manipulation techniques
• Advanced SQL expertise with proven experience in data integration and validation
• Comprehensive understanding of ETL/ELT workflows and quality assurance methodologies for data processing validation
• In-depth expertise in data pipeline architecture and implementing quality control frameworks
• Practical experience with Spark SQL for distributed data processing
• Extensive knowledge of healthcare data domains including member enrollment, medical claims processing, and prescription drug claims; familiarity with emerging data sources (wellness programs, productivity metrics, and electronic medical records) is advantageous
• Outstanding verbal and written communication abilities with demonstrated success in managing multiple priorities and delivering on tight timelines
• Exceptional collaborative and relationship-building capabilities
• Self-directed professional who excels both as an individual contributor and team player, with proven mentoring experience
• Hands-on experience with scripting languages, particularly Python and Java
• Comprehensive expertise in AWS cloud services including S3, EC2, Systems Manager, Athena, and Databricks platform
• Thorough understanding of software testing methodologies, debugging techniques, and quality assurance protocols

Nice to Have:

• Experience with Big Data, Snowflake, and ETL test automation
• Hands‑on API testing experience
• Healthcare domain knowledge, including HEDIS quality measures
• Machine Learning and Artificial Intelligence concepts with practical application experience in production environments
• Proficiency in testing automation frameworks and database technologies

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Working Arrangements

• Standard hours: 9 hours/day, 5 working days
• Location: Onsite
• Shift: 10 AM – 7 PM local time