Offer summary

Qualifications:

8+ years of ML engineering or software engineering experience, 5+ years delivering MLOps capabilities, Strong proficiency in Python and SQL, with experience in machine learning libraries, Bachelor’s or Master’s degree in Computer Science or equivalent experience.

Key responsibilities:

Be accountable for the team’s performance including feature delivery and quality

Foster a culture of clarity and alignment to help the team meet goals

Design, build, and launch new ML capabilities for software development

Champion MLOps practices across the organization

Job description

Role

We’re looking for a highly technical Engineering Manager to lead a senior team of engineers building our ML Platform and Ecosystem. The ideal candidate for this role is passionate about developer and data science efficiency through excellent planning, techniques, and architectures and is also able to jump into tough problems to help resolve them.

SmarterDx builds clinical AI that empowers hospitals to achieve 100% chart accuracy for revenue integrity. Our solution helps hospitals tell the most accurate and complete story of the patient and the care that was delivered, which helps them recover millions in earned revenue and improve quality of care scores. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers.

**This role is fully remote within the US**

What You’ll Do

Be accountable for all aspects of the team’s performance including velocity of feature delivery, quality, operational excellence, hiring, retention, professional growth, and well-being
Foster a culture of clarity, alignment, and confidence to help the team deliver on goals effectively
Work with the Sr Managers of Data Science and Machine Learning Research to drive out the strategy, roadmap, and architecture machine learning ecosystem.
Design, build, and launch new ML capabilities to improve the overall quality and experience of software development at SmarterDx
Champion MLOps and LLMOps practices across the organization
Support our platform in production

What You Bring

8+ years of ML engineering or software engineering experience
5+ years delivering MLOps capabilities
Experience leading software teams to deliver quality technical solutions
Experience providing tooling and capabilities for a data science and machine learning department
Expertise running an agile process (preferably Kanban) for a team and fluency with the agile toolkit
Strong proficiency in Python and SQL, with experience in machine learning libraries (Pytorch, Tensorflow)
Experience with deploying and managing ML models in production environments, including familiarity with Docker, Kubernetes, or similar technologies.
Experience with end-to-end machine learning project lifecycle, from data collection and model training to deployment and monitoring.
Excellent written and verbal communication skills
Experience working at startups, especially in the health tech space
Bachelor’s or Master’s degree in Computer Science or equivalent experience

Nice To Haves

You're a former startup founder, or have managed a team at a fast-growing startup
3+ years as an engineering manager
Experience supporting data engineering tools like Airflow and dbt.
Experience with Snowflake
Deployment of LLM systems into Production environments.

Our Tech Stack

Python, PyTorch, pandas/Polars, Airflow, Snowflake, dbt, AWS, MLflow, Sagemaker, Terraform, K8s

Compensation

$220-270k base + equity incentives

Benefits

Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 90-100% of your premiums and 70-90% for dependents, depending on the plan.
One Medical Membership – Free membership included if you enroll in a SmarterDx medical plan.
Paid Parental Leave – Up to 12 weeks of paid leave for birth or adoption.
Remote-First Team – Work from anywhere in the U.S. with a $400 home office reimbursement stipend.
Unlimited PTO & 10 Holidays – 4 of which include floating holidays so you can recognize the days that matter most to you.
Learning & Development Budget – $500 per year (prorated) for courses, books, and resources to expand your skills.
401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Empower.
Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters.
Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.