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DeepScribe

Engineering Manager, Infrastructure and Agentic Platform

Posted One Month Ago
Remote
Hiring Remotely in United States
180K-240K Annually
Senior level
Remote
Hiring Remotely in United States
180K-240K Annually
Senior level
Lead a small Infrastructure and Agentic Platform team while serving as a hands-on engineering manager. Own AWS infrastructure, data platforms, security, compliance, reliability, and AI-native software development workflows. Mentor engineers, guide hiring, define the roadmap, and build tools for planning, coding, testing, monitoring, and triage. The role requires balancing AI acceleration with engineering quality, cost, security, and operational reliability in a healthcare AI environment.
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About DeepScribe

We're on a mission to reduce administrative burden on clinicians pre, post, and during the visit. By integrating AI agents seamlessly into practitioner workflows, we create space for them to focus on what matters: patient care.

As a rapidly growing healthcare AI company, we face a unique challenge: building reliable, secure, and compliant infrastructure while leveraging AI to accelerate our team’s impact. This is where you come in.

The Role

We're looking for a hands-on engineering manager to lead our small Infrastructure and Agentic Platform team. This is a player-coach role (50/50 split) where you'll spend half of your time building software using the latest agentic tools, and half the time empowering your team to do their best work. To facilitate this balance, your team will remain reasonably small and senior.

You'll own the foundation that our entire engineering organization builds on: from AWS-based infrastructure and security to the agentic tools that help us ship faster safely.

You'll continuously evaluate cutting-edge software development practices and apply what fits DeepScribe's specific needs. Your role is to implement transformative tools while filtering out hype.

What You'll Do

Lead and grow a high-impact team

  • Manage and mentor a fairly senior team of 2-5 engineers, setting them up for success through planning, coaching, and technical guidance.

  • Establish hiring practices and grow the team as needed.

  • Foster a culture of excellence, ownership, and continuous learning.

Build reliable foundations for rapid scaling

  • Own AWS infrastructure and data platform for a fast-growing healthcare AI product.

  • Lead efforts to strengthen our security and compliance posture (SOC2, HIPAA).

  • Establish engineering best practices that accelerate delivery while providing reliability that healthcare providers and patients have come to depend on every day.

Define AI-native engineering workflows

  • Help build a “Software Factory” for DeepScribe by enabling tools and processes that help engineers iterate on the SDLC faster: planning, coding, testing, monitoring, and triaging.

  • Own the team roadmap - decide what to build and why. Weigh reliability, cost, and velocity to pragmatically prioritize investments.

  • Strike a balance between AI acceleration and engineering craft.

Who You Are

Required:

  • 6+ years of software engineering experience, with a strong foundation in system design, agentic workflows, or DevOps.

  • 1+ year of engineering management experience – you've led people, not just projects, and you’ve seen the impact of your decisions months down the line.

  • AWS expertise – you're comfortable designing and operating production systems on AWS

  • Experience with Software Factory concepts – you're familiar with agentic loops, MCPs, and orchestrators. You're excited about AI's potential but understand its limitations.

You'll thrive here if you:

  • Thrive with autonomy. You can set direction, manage competing priorities, and communicate credibly with both technical teams and Customer Success.

  • Get energy from generating impact through your own contributions, your direct reports, and AI agents.

  • Love collaborating with smart, thoughtful, mission-driven engineers. You appreciate the irreplaceable value of great people in the age of automation.

  • Want to work on technology that makes a real difference in people's lives.

Nice to Have
  • Experience with passing SOC2 and HIPAA certifications and audits.

  • Experience with python, typescript, terraform and AWS.

  • Experience deploying and operating LLMs at scale: evals, observability, and cost tracking.

  • Familiarity with the healthcare domain and the challenges that it brings.

Why DeepScribe?

Mission that matters: Our technology directly improves the lives of physicians and their patients. You'll see the impact of your work in the real world.

AI-native culture: We don't just build AI products - we are building a future where agents transform how we build. You'll help decide what that looks like.

Exceptional team: Work alongside mission-driven engineers who care deeply about craft, impact, and each other.

Values we live by: Act Like an Owner · Make It Happen Fast · Never Stop Evolving · Care Beyond Expectation

Perks and benefits

$180,000 to $240,000 annual salary. Actual compensation will be determined based on factors including but not limited to experience, education, skill level, location, and internal equity, and may vary from the posted range.

Meaningful equity stake in the company

Flexible PTO

Work from home stipend

Medical, Dental, Vision, 401K and other benefits are also offered

About the Team

At DeepScribe, we value trust, teamwork, and transparency, and we’re dedicated to promoting diversity and equity in the workforce through inclusive hiring practices. Candidates with backgrounds that are underrepresented in the technology industry are encouraged to apply.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required eligibility verification form upon hire.

We’re excited to connect with people who feel inspired by our mission to transform medical documentation with AI. As part of your application, we ask you to briefly tell us why you want to work at DeepScribe. Applications without a thoughtful response may not be considered.

How to use AI during our hiring process

  • When applying: create the first draft of your resume yourself, but it’s OK to use AI to help you polish it

  • While preparing: use AI to research DeepScribe, practice your answers, or prepare questions for us

  • During live interviews: no AI assistance of any kind unless we indicate otherwise. We want to see how you think, approach problems, and work through challenges in real time.

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