Product Manager at Athelas (S16)
$150K - $200K  •  
Digital tools for healthcare providers
Mountain View, CA, US
Full-time
3+ years
About Athelas

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.

About the role

Role Summary:

Athelas is looking for a Product Manager to own our Integrations Platform, Colossus. You’ll be spearheading the integration with over 15 EHRs to obtain the data needed for Revenue Cycle Management (RCM). 

You will be a crucial member of the Product Management Team at Athelas, reporting into the Head of Product and working daily with the CTO. You will oversee the development and implementation of technical product strategies, ensuring they align with business goals. With a methodical, critical-thinking, and data-driven mindset, you'll be viewed as a key liaison with engineering, marketing, and sales teams.

Responsibilities

Develop and execute comprehensive product strategies and roadmaps in collaboration with cross-functional teams across Engineering, Operations and Sales. 

Technical understanding with the ability to understand and translate complex technical features and challenges into user-friendly solutions parting across engineering and operations.

Triaging competing priorities, while providing direction to the engineering pod and managing stakeholder expectations effectively. 

Working with the operational team to hit set metrics and OKRs to ensure the RCM business is stable.  

Set up robust QA and Testing Processes to ensure the pulled data is accurate and sets us up to maximize revenue for our clients. 

Create world-class dashboarding and reporting tools to provide providers with unparalleled insights into their practice.

Requirements

4+ years of direct Product Management experience, ideally in SaaS products. This role is for immediate filling and is not part of the University recruiting cycle.

Bachelor’s degree in Computer Science, Engineering, Business, or a related field.

A proven track record of impactful product management and achievement of significant product metrics.

Ability to ship and iterate products quickly.

Comfort in unstructured and resource-constrained environments.

Demonstrated capability in managing complex technology projects with cross-functional teams.

Strong analytical and problem-solving skills, with an emphasis on practical business applications.

Experience with SQL

Strong QA skills

Technology

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.

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