We lead the healthcare community to deliver patient-focused care.
Principal Product Engineer
Location
United States
Posted
12 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
This role involves leading delivery for key customer-facing products by partnering with customers to showcase MCG products' value.
- Work closely alongside strategic customers within their actual workflows, identify pain points as they arise, and collaborate on solution design to showcase the value of MCG products.
- Run hands-on pilots inside operational environments, iterate rapidly with stakeholders, and convert validated results into production-grade releases.
- Build functional software early, expose it to real usage, and iterate in tight cycles based on measurable outcomes and stakeholder feedback.
- Use agentic workflows to develop, decompose problems, scaffold implementations, generate tests, and accelerate execution without sacrificing correctness.
- Own customer-facing delivery outcomes end-to-end, developing and driving working software to meet commitments, release dates, SLAs, and measurable business impact.
- Establish baselines, define success metrics, and continuously prove value through data rather than opinion.
- Remove delivery friction by resolving integration gaps, clarifying ambiguous requirements through prototypes, and tightening feedback loops across teams.
- Identify failure modes early, validate through automated and scenario-based testing, and enforce release gates grounded in evidence.
- Translate pilot insights into reusable platform capabilities, reference architectures, and repeatable rollout patterns.
- Maintain direct accountability to customers and stakeholders, ensuring delivery quality, speed, and business alignment.
Qualifications
- Bachelor’s degree in computer science or related field preferred.
- 10+ years of hands-on software development experience.
- Experience running customer pilots and engaging with strategic stakeholders.
- Experience using Generative AI or agentic workflows in software delivery.
- Proficiency in cloud platforms (AWS, Azure, and Google).
- Experience with Agile methodologies and CI/CD practices.
Requirements
- Understand customer workflows end to end, identify where MCG solutions and capabilities create measurable value, define clear success metrics such as time to value and reduced manual effort.
- Design pilots with baseline measurement and outcome validation, establish a definition of done that includes correctness, operability, and support readiness, and manage risk pragmatically while protecting customers without slowing delivery.
- Use Generative AI and agentic workflows to explore implementation options, generate test scenarios, accelerate iteration, treat specifications and documentation as outputs of execution refined through build cycles, and separate repeatable platform capabilities from customer-specific adaptations.
Benefits
- Remote work
- Travel expected 3-4 times per year for company-sponsored events
- Medical, dental, vision, life, and disability insurance
- 401K retirement plan; flexible spending and health savings account
- 15 days of paid time off + additional front-loaded personal days
- 14 company-recognized holidays + paid volunteer days
- Up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave
- LGBTQ+ Health Services
- Pet insurance
Job Requirements
- Bachelor’s degree in computer science or related field preferred.
- 10+ years of hands-on software development experience.
- Experience running customer pilots and engaging with strategic stakeholders.
- Experience using Generative AI or agentic workflows in software delivery.
- Proficiency in cloud platforms (AWS, Azure, and Google).
- Experience with Agile methodologies and CI/CD practices.
- Understand customer workflows end to end, identify where MCG solutions and capabilities create measurable value, define clear success metrics such as time to value and reduced manual effort.
- Design pilots with baseline measurement and outcome validation, establish a definition of done that includes correctness, operability, and support readiness, and manage risk pragmatically while protecting customers without slowing delivery.
- Use Generative AI and agentic workflows to explore implementation options, generate test scenarios, accelerate iteration, treat specifications and documentation as outputs of execution refined through build cycles, and separate repeatable platform capabilities from customer-specific adaptations.
Benefits
- Remote work
- Travel expected 3-4 times per year for company-sponsored events
- Medical, dental, vision, life, and disability insurance
- 401K retirement plan; flexible spending and health savings account
- 15 days of paid time off + additional front-loaded personal days
- 14 company-recognized holidays + paid volunteer days
- Up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave
- LGBTQ+ Health Services
- Pet insurance
Related Guides
Related Job Pages
More Full-stack Engineer Jobs
Work directly with clients to understand their problems, gather requirements, and translate needs into technical solutions Build and ship features across our product portfolio using AI-assisted development workflows Write code alongside AI coding agents—prompting, reviewing, iter...
Senior Software Engineer developing NVIDIA's attestation platform for secure cloud services
Senior Software Engineer developing deep learning software tools at NVIDIA
Senior Staff Engineer – Infrastructure and Architecture
WebflowWebflow is the way to design, build, and launch powerful websites visually — without coding.
Senior Staff Engineer at Webflow developing AI products