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Principal Product Manager

About Providence

Providence, one of the US’s largest not-for-profit healthcare systems, is committed to high quality, compassionate healthcare for all. Driven by the belief that health is a human right and the vision, ‘Health for a better world’, Providence and its 121,000 caregivers strive to provide everyone access to affordable quality care and services.

Providence has a network of 51 hospitals, 1,000+ care clinics, senior services, supportive housing, and other health and educational services in the US.

Providence India is bringing to fruition the transformational shift of the healthcare ecosystem to Health 2.0. The India center will have focused efforts around healthcare technology and innovation, and play a vital role in driving digital transformation of health systems for improved patient outcomes and experiences, caregiver efficiency, and running the business of Providence at scale.


Why Us?

  • Best In-class Benefits
  • Inclusive Leadership
  • Reimagining Healthcare
  • Competitive Pay
  • Supportive Reporting Relation

Organization Background

We are a technology-driven organization focused on building enterprise-scale platforms across Software Engineering and AI Engineering. Our mission is to accelerate innovation by embedding AI capabilities (GenAI, Agentic AI, automation) directly into core software engineering workflows and developer platforms.

We prioritize production-grade, scalable, and secure systems over experimentation, ensuring all solutions are governed, observable, cost-efficient, and aligned to real business outcomes. Our platforms enable end-to-end delivery across both:

  • Software Development Lifecycle (SDLC)
  • AI Development Lifecycle (AIDLC)

What Will You Be Responsible For?

  • Own the product strategy and roadmap for platforms spanning:
    • Software Engineering (APIs, microservices, DevOps, IDP)
    • AI Engineering (AIDLC, LLM platforms, agentic systems)
  • Drive convergence of SDLC + AIDLC, ensuring AI becomes a native part of engineering systems, not an isolated layer
  • Lead productization of:
    • AI-powered developer platforms (copilots, automation agents)
    • Reusable APIs, SDKs, and platform services
  • Ensure end-to-end lifecycle ownership:
    • Software: design → build → deploy → operate
    • AI: data → model → evaluate → deploy → monitor
  • Define and track engineering + AI metrics:
    • DORA metrics (deployment frequency, MTTR)
    • AI metrics (accuracy, latency, cost, automation %)
  • Partner with Engineering, AI/ML, DevOps, and Security teams to ensure:
    • Reliability, scalability, and governance at enterprise scale

What Would Your Day Look Like?

  • Working with engineering teams on:
    • API design, microservices scalability, platform architecture decisions
  • Collaborating with AI/ML teams on:
    • RAG pipelines, agent workflows, model evaluation strategies
  • Reviewing production telemetry across both systems:
    • Software: latency, error rates, service health
    • AI: token usage, hallucination rates, drift, cost
  • Driving backlog prioritization balancing:
    • Feature velocity vs platform stability vs AI innovation
  • Leading trade-off discussions:
    • Build vs buy (platform vs vendor tools)
    • Model choice vs cost vs latency
    • Standardization vs team flexibility
  • Ensuring:
    • AI systems are integrated into CI/CD pipelines
    • Software systems are AI-enabled where it adds real value
  • Handling real-world production issues:
    • Service failures and cascading microservice dependencies
    • AI degradation (drift, poor retrieval, inaccurate outputs)
    • Cost spikes due to scale or inefficient AI usage

 This role operates at the intersection of platform engineering, AI systems, and production reliability.

Who Are We Looking For?

  • A Product Manager with strong experience in:
    • Software Engineering platforms (APIs, microservices, DevOps)
    • AI/ML systems (LLMs, RAG, agentic workflows, AIDLC)
  • Deep understanding of:
    • Distributed systems, cloud-native architectures, and SDLC
    • End-to-end AIDLC (data → model → evaluation → deployment → monitoring)
  • Someone who:
    • Thinks in platforms (reusability, scalability), not features
    • Prioritizes production readiness over demos
    • Challenges assumptions and drives data-backed decisions
  • Proven ability to:
    • Deliver 0 → 1 → scale platforms in enterprise environments
    • Balance engineering rigor with AI innovation
  • Strong focus on:
    • Reliability, cost control, governance, and measurable outcomes

Providence’s vision to create ‘Health for a Better World’ aids us to provide a fair and equitable workplace for all in our employment, whether temporary, part-time or full time, and to promote individuality and diversity of thought and background, and acknowledge its role in the organization’s success. This makes us committed towards equal employment opportunities, regardless of race, religion or belief, color, ancestry, disability, marital status, gender, sexual orientation, age, nationality, ethnic origin, pregnancy, or related needs, mental or sensory disability, HIV Status, or any other category protected by applicable law. In furtherance to our mission in building a more inclusive and equitable environment, we shall, from time to time, undertake programs to assist, uplift and empower underrepresented groups including but not limited to Women, PWD (Persons with Disabilities), LGTBQ+ (Lesbian, Gay, Transgender, Bisexual or Queer), Veterans and others. We strive to address all forms of discrimination or harassment and provide a safe and confidential process to report any misconduct.

Contact our Integrity hotline also, read our Code of Conduct.

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