Athelas is a Sequoia funded biotech startup working on modern, point-of-care diagnostics using Machine Learning. Our main product is an FDA cleared device for immunoresponse monitoring. We're scaling deployments rapidly across the country, and our customer base includes major pharmaceutical companies. If you're interested in modernizing healthcare and working at the intersection of machine learning and healthcare, we are the right place for you.

Athelas is a small, creative, and hard-working team and we're looking for individuals with a founder-type mentality to join us.

Healthcare providers go into medicine to care for people, but end up losing valuable time each day to admin work and other workplace challenges. Time that could otherwise be spent helping patients. And patients end up suffering as a result. At Commure, we build solutions that simplify providers' lives and keep them connected to their patients so they can focus on doing what matters most: providing care. 

Our innovative suite of software and hardware – augmented by advanced LLM AI, RTLS, and healthcare workflow automations – boosts efficiency across every domain of healthcare, freeing up healthcare providers to spend more of their time caring for patients. Our growing suite of technologies include staff duress alerting, asset tracking, patient elopement, revenue cycle management, clinical documentation and intake, provider copilots, patient engagement and communication, home health, remote patient monitoring, and more.

Today, we support over 250,000 clinicians across hundreds of care sites around the country. And we’re only just getting started: Healthcare’s watershed moment for AI-powered transformation is here – so join us in creating the technology to power healthcare!

About the Role

Commure + Athelas is seeking a Senior Technical Product Manager to build next-generation AI-driven provider tools. This role will focus on developing AI-powered clinical documentation, intelligent AI agents for doctors, advanced co-pilots, and autonomous coding solutions that seamlessly integrate into provider workflows.

• Drive Product Execution from Idea to Deployment: Translate high-level concepts into scalable, enterprise-grade AI solutions that integrate seamlessly with provider workflows and major healthcare systems.

• Deep User Immersion: Spend time onsite at hospitals and clinics to understand firsthand how providers work, identify pain points, and rapidly iterate on solutions that fit into real-world clinical environments.

• Lead Cross-Functional Teams: Collaborate closely with AI/ML engineers, designers, and clinical stakeholders to ship high-impact features that drive measurable improvements in provider efficiency.

• Lead Product Managers: Lead a small team of Product Managers to support the AI provider tooling initiatives.

• Executive-Level Influence & Communication: Regularly engage with COOs, CSOs, and CIOs of major healthcare systems, clearly articulating product vision, roadmap, and impact to gain buy-in and drive adoption.

• Stay Ahead of the Curve in AI & Healthcare: Keep up with AI advancements in LLMs, autonomous agents, and clinical NLP , continuously exploring new ways to enhance provider workflows through technology.

What You'll Do

• Product Strategy and Implementation: Develop and oversee the execution of technical and clinical product strategies. This includes creating innovative solutions for healthcare billing complexities and clinical product offerings, aligning them with overarching business goals.

• Customer Engagement and Deployment: Act as the primary product contact for clients, understanding their specific needs and deploying solutions that integrate seamlessly into their operations. Ensure products are tailored to real-world use and deliver measurable benefits.

• Cross-Functional Team Collaboration : Collaborate with Engineering, Sales, Operations, and Clinical teams to define and prioritize product requirements, develop project plans, manage key deliverables, and maintain high-quality standards throughout the product lifecycle.

• Operational and Quality Oversight: Establish and maintain rigorous processes and workflows for product operations and quality assurance, including metrics and OKRs to monitor and drive business growth.

• Market Insights and Feedback Integration: Serve as the voice of the customer internally, gathering and integrating feedback to refine and adapt product offerings. Develop tools and metrics to measure product effectiveness and customer satisfaction.

What You Have

• Education and Experience: Bachelor’s degree in Computer Science, Physics, or related field

• Professional Background: 3+ years of experience in Product Management. Plus if 1+ year of Software Engineering

• Management Experience: Plus if previously managed other PMs or a cross-functional team

• Skills and Competencies: Strong analytical and problem-solving skills, outstanding interpersonal and communication abilities, and a proven ability to manage complex technology projects across functional boundaries. Experience with SQL and QA best practices are a must.

• Culture : You are hacky, passionate about healthcare, love a fast-paced culture, and take extreme ownership.

• Willing to come into our Mountain View Office, 5 days a week.

Why you’ll love working at Commure + Athelas:

• Highly Driven Team: We work hard and fast for exceptional results, knowing we’re doing mission-driven work to transform the country’s largest sector. 

• Strong Backing : We are backed by top investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital and Elad Gil. 

• Incredible Growth : Prior to our merger, Commure and Athelas had independently grown more than 500% YoY for three consecutive years. We’ve achieved Series D funding, have an industry-leading runway, and continue to scale rapidly. 

• Competitive Benefits: Flexible PTO (pending specific geographical locations) , medical, dental, vision, maternity and paternity leave. Note that benefits are subject to change and may vary based on jurisdiction.

Commure + Athelas is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process.

Please be aware that all official communication from us will come exclusively from email addresses ending in @ getathelas.com, @ commure.com or @ augmedix.com. Any emails from other domains are not affiliated with our organization.

Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.

Machine Learning

Our device captures high resolution images of blood smears which we analyze using internally CNNs. Our networks are responsible for segmenting cells, classifying them, and deciding which images include valid and invalid samples. In addition, we have specially designed networks for classifying abnormal cells (blast cells, giant platelets, nucleated red blood cells) that require additional intervention.

Hardware

Our hardware stack includes custom objective lenses and image sensors to provide the optimal tradeoff for field of view and cell resolution. Our device includes an onboard linux processor, motor drivers, and a linear actuator for orienting and moving the sample. We are always looking to improve our imaging stack to provide more powerful images for analysis.

Clinic Product

We provide customers (clinics) a web-based interface for analyzing results, looking up patient history, and integrating directly with pharmacies. Our frontend is built entirely in react and redux.

Server API

Our APIs are built using flask and sqlalchemy with a postgres database. Our infrastructure is hosted using Kubernetes on GCP. We believe in simple, reliable infrastructure that allows us to spend most of our time on improving our tests and adding new ones.