About the Role
This is a full-time, on-site Sr Engineering Manager role based in Karnataka, India. The Sr Engineering
Manager will lead multiple engineering teams, providing technical direction, mentorship, and performance
management to deliver reliable, scalable AI-driven healthcare products. This role includes working closely
with product management, data science, and customer-facing teams to translate requirements into
roadmaps, prioritize backlogs, and ensure timely delivery of features and integrations. The Sr Engineering
Manager will oversee end-to-end software development, including architecture reviews, coding standards,
code reviews, testing practices, and deployment processes. Day-to-day responsibilities also include
managing project execution, identifying and mitigating risks, improving engineering processes, and
fostering a culture of collaboration, inclusion, and continuous improvement.
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What You’ll Do
Team Leadership & Org Development
▸ Lead, mentor, and grow 2–3 engineering teams (15–20 engineers total, including senior ICs, tech
leads, and team leads).
▸ Own hiring, performance management, career development, and succession planning across your org.
▸ Cultivate a high-trust, high-accountability team culture with strong psychological safety and clear
expectations.
▸ Partner with HR and Talent Acquisition to build diverse, inclusive teams.
Delivery & Execution
▸ Strong Engineering Management and Team Leadership skills, including mentoring, performance
management, hiring, and building high-performing, cross-functional teams.
▸ Proven Project Management capabilities, such as roadmap planning, sprint management, risk
mitigation, and stakeholder communication in an agile environment.
▸ Experience with system Integration, including working with third-party APIs, healthcare platforms, and
internal services to deliver end-to-end solutions.
▸ Remove systemic blockers and dependencies; escalate risks proactively with mitigation plans.
▸ Drive on-time, high-quality releases while managing technical debt strategically.
▸ Excellent communication and collaboration skills, with the ability to work effectively across product,
design, data science, and operations teams.
▸ Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or
equivalent practical experience.
▸ Track record of driving engineering excellence, including reliability, security, performance,
observability, and continuous improvement of development processes.
▸ Background in AI/ML-driven products or data-intensive platforms; experience in healthcare, healthtech,
or related regulated domains is highly beneficial.
Technical Strategy & Architecture
▸ Provide technical oversight and architectural guidance; make build/buy/integrate decisions aligned with
long-term platform strategy.
▸ Hands-on Software Development experience with modern technologies, architectures, and best
practices, including scalable distributed systems and APIs.
▸ Champion AI and Agentic AI adoption — from LLM-powered features to autonomous workflow agents
— across product lines.
▸ Ensure robust data pipelines, analytics platforms, and governance practices that support both real-time
and batch workloads.
▸ Drive best practices around security, HIPAA/HL7/FHIR compliance, and resilient system design.
Stakeholder & Cross-Functional Collaboration
▸ Partner closely with Product, Design, Data Science, QA, DevOps, and Clinical SMEs.
▸ Represent Engineering in executive forums; translate technical strategy into business language.
▸ Engage with external partners, vendors, and customers when needed for integration or enterprise
deals.
What You Bring
Required Qualifications
▸ 12+ years of progressive software engineering experience, with at least 3 years managing multiple
teams simultaneously.
▸ Demonstrated track record of shipping complex, distributed systems in a fast-paced product
environment.
▸ Hands-on or deep architectural exposure to AI/ML systems and/or Agentic AI frameworks (LangChain,
AutoGen, CrewAI, or equivalent).
▸ Experience with data analytics platforms, data warehousing, and BI tooling (e.g., dbt, Snowflake,
Spark, Databricks, Looker, or similar).
▸ Strong proficiency in at least one major cloud provider (AWS, Azure, or GCP) and familiarity with
DevOps/MLOps practices — CI/CD pipelines, containerization (Docker/Kubernetes), and
infrastructure-as-code (Terraform or equivalent).
▸ Excellent communication skills — able to influence at all levels from IC engineers to C-suite
executives.
▸ Experience leading through ambiguity, organizational change, and rapid growth.
Preferred Qualifications
▸ Experience in Healthcare IT, Digital Health, or Life Sciences — including familiarity with HIPAA,
HITECH, and interoperability standards (HL7, FHIR, SMART on FHIR).
▸ Background in systems integration — EHR/EMR integrations, API gateways, EDI, or enterprise
middleware (e.g., MuleSoft, Azure API Management, AWS API Gateway).
▸ Experience building or scaling AI-driven clinical decision support, NLP pipelines, or predictive analytics
products.
▸ Exposure to regulatory compliance frameworks relevant to healthcare software (FDA SaMD, SOC 2,
ISO 27001).
▸ An engineering background (BS/MS in CS, CE, or related field preferred, but not required with
equivalent experience).
Core Competencies at a Glance
Leadership Technical
▸ Multi-team org design & scaling
▸ Hiring & performance management
▸ Executive communication
▸ Roadmap planning & OKR management
▸ Engineering culture & DEI
▸ AI / Agentic AI / LLMs
▸ Data Engineering & Analytics
▸ Cloud-native / Microservices
▸ Healthcare Interoperability
▸ Systems Integration & APIs
