Technical Program Manager II

Posted 2 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Artificial Intelligence • Healthtech • Software
The Role
Own execution for an engineering pod by running Agile ceremonies, maintaining accurate work tracking, reporting status and risks, and managing delivery metrics. Drive spec-driven development, improve cycle time and backlog health, and champion process, tooling, and AI-assisted productivity improvements. Partner with Product, Engineering, ML, QA, Design, and leadership to make software delivery predictable, measurable, and scalable.
Summary Generated by Built In
What we want to accomplish and why we need you

Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us! 

We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.

About the role

We're growing our Engineering Operations function and looking for a Technical Program Manager to embed directly in an engineering pod and make execution predictable, measurable, and fast. You'll own your pod's day-to-day execution, give leadership an accurate picture of where things stand, and help scale the operating model that makes execution repeatable across the engineering organization. A hands-on role for someone who likes both running the machine and improving how it runs.

What you'll do
  • Own execution for your pod: run sprint planning, stand-ups, reviews, and retrospectives, partnering closely with Product and Engineering leads.
  • Keep the pod's work tracked and trustworthy, so status rolls up accurately from task to program level.
  • Produce clear, regular status reporting for pod leads and senior leadership, surfacing risks early.
  • Own the metrics that matter: delivery predictability, sprint coverage, spillover, backlog health, and cycle time.
  • Drive spec-driven development — ensure work is well-specified before build, and measure and improve time from signed-off spec to shipped code.
  • Champion process, tooling, and AI-assisted productivity improvements, feeding durable wins back into the broader operating model.
What you'll gain
  • Applied clinical AI fluency — work at the center of an ACI platform spanning ASR, NLP, LLMs, and deep EHR integration, and learn how a real production AI system ships.
  • Systems-level judgment — build a rare, end-to-end mental model of how complex software gets built, from spec to production, across Product, Engineering, ML, and QA.
  • Data and metrics craft — own the instrumentation and dashboards leadership runs on.
  • Process architecture — help design the operating model that scales across the org, not just run an existing playbook.
  • Executive-grade influence — regular exposure to senior leadership and the reps to turn ambiguity into decision-ready narratives.
What we're looking for
  • 3–5 years as a Technical Program Manager driving delivery for software engineering teams.
  • Technical fluency to navigate the work:
    - Reads and reasons about system architecture — services, APIs, and how frontend, backend, and ML components fit together.
    - Understands the full software development lifecycle: specs, code review, CI/CD, testing/QA, release, and monitoring.
    - Grounded enough in ML/AI systems to follow conversations about models, data pipelines, evaluation, and what separates a demo from production.
    - Reads a design doc or PRD, asks sharp questions, and spots gaps, assumptions, and risks.
  • Data and metrics craft: fluent with issue-tracking tools (e.g. Jira), keeps a clean backlog as a single source of truth, and drives improvement with data.
  • Excellent written communication: turns messy execution reality into crisp updates for engineers and executives alike, and builds trust fast with Product, Engineering, and Design.
  • Sound judgment and autonomy: thrives in a fast-moving environment, escalates through the right channels, and knows when to standardize versus adapt.
Tell me more about Suki
  • On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
  • Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
  • Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
  • Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
  • Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties.  Check out what one of our users says about how Suki has helped his practice.
  • Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better.

Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.


Skills Required

  • 3-5 years of experience as a Technical Program Manager driving delivery for software engineering teams
  • Ability to read and reason about system architecture, including services, APIs, and frontend, backend, and ML components
  • Understanding of the full software development lifecycle, including specifications, code review, CI/CD, testing, QA, releases, and monitoring
  • Working knowledge of ML and AI systems, including models, data pipelines, and evaluation
  • Ability to read design documents or PRDs, ask sharp questions, and identify gaps, assumptions, and risks
  • Fluency with issue-tracking tools such as Jira and ability to maintain a clean backlog and use data for improvement
  • Excellent written communication skills for preparing clear updates for engineers and executives
  • Sound judgment, autonomy, and ability to escalate appropriately and standardize processes when suitable
  • Background in computer science, software engineering, or a related technical field
  • Experience in healthcare technology, clinical software, or another regulated domain
  • Exposure to applied machine learning products or app, SDK, or integration work
  • Familiarity with spec-driven development practices
  • Experience scaling operational processes across multiple teams
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The Company
HQ: Redwood City, CA
114 Employees
Year Founded: 2017

What We Do

Suki is a leading technology company that provides AI-powered voice solutions for healthcare. Its mission is to reimagine the healthcare tech stack, making it invisible and assistive to lift the administrative burden from physicians. Its flagship product is Suki Assistant, an AI-powered, voice enabled digital assistant that helps physicians complete documentation and other administrative tasks 76% faster on average. Suki also offers its proprietary voice platform, Suki Speech Platform, to partners who want to create a best-in-class voice experience for their solutions. Suki Speech Platform uses the latest in natural language processing and machine learning to provide industry-leading accuracy and natural and fast voice experience. Suki is backed by premier investors such as Venrock, First Round, March Capital, Flare Capital Partners, and Breyer Capital.

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