About AKASA
At AKASA, our mission is to build the future of healthcare with AI. As the preeminent provider of generative AI solutions for the healthcare revenue cycle, we are solving the biggest challenges facing our customers’ financial infrastructure. We have raised more than $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.
This is one of the most exciting times to join AKASA. Bookings for our new product suite have grown 10x since launching in Q3 of 2024, and we are just getting started. Our customer base represents more than $120B+ in net patient revenue and includes the most innovative health systems in the country, like Stanford, Johns Hopkins, and Cleveland Clinic.
Some of our most recent recognitions include being named one of the fastest-growing GenAI startups to watch by AIM Research and an “AI Revenue Cycle Leader” by Black Book in 17 out of 18 categories. Our CEO was ranked among the “Top 50 Healthcare Technology CEOs” by the Healthcare Technology Report, and we have been certified as a “Great Place to Work” for the past five years in a row, just to name a few.
Come join us - everyone is welcome. As an inclusive workplace, we are committed to building an environment where AKASAns are comfortable bringing their authentic selves to work.
About the Role
The Data Platform team at AKASA is a deeply cross-functional team, consisting of engineering, analytics, and data science roles. The team collaborates closely with most teams throughout the organization, including but not limited to; Product, Core Platform Engineering, Machine Learning, and Customer Engagement.
As a Software Engineer on the Data Platform team, you will support Machine Learning’s efforts to train in-house models via custom data pipeline development, directly contribute to product development through in-app dashboarding, and enable Analytics and Data Science efforts by developing core Data Platform infrastructure and tooling.
The AKASA office is located in South San Francisco. While we support remote work on a variety of teams, we have a strong Bay Area presence across the company. For this role, we're looking for someone to join either our Bay Area team every Wednesday in the office or our NYC team for co-working days.
What You'll Do
Work with a tech stack including but not limited to: Python, Postgres, Redshift, Prefect, Kubernetes, Grafana, and various additional AWS services such as SQS and Cloudwatch
Build new and maintain existing data pipelines to support Machine Learning model training and scalable customer deployments
Support Analytics and Data Science initiatives via building and maintaining core Data Platform infrastructure and tooling
Contribute directly to product development via maintaining in-app dashboarding infrastructure
Explore new technologies and grow your technical skillset
Skills & Qualifications
BS in Computer Science/Software Engineering, or similar
3+ years of software engineering or data engineering experience
Professional experience in Python and SQL
Cloud computing experience (AWS preferably)
Demonstrable knowledge of software development fundamentals and experience across the software development lifecycle
A delivery focused mindset
A passion and excitement about healthcare’s unique challenges and opportunities
Nice to haves:
Data platforms, data pipelines, or comparable services
Data Warehousing (Amazon Redshift preferably)
Scheduling/orchestration technologies such as Prefect or Airflow
Kubernetes
BI tools (Tableau/Looker/Quicksight/SuperSet etc)
What We Offer
Unlimited paid time off (PTO)
Expansive coverage for health, dental, and vision
Employer contribution to Health Savings Accounts (HSA)
Generous parental leave policy
Full employee coverage for life insurance
Company-paid holidays
401(K) plan
Compensation
Based on market data and other factors, the salary range for this position is $180,000 - $205,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.
We’re committed to doing the best work of our lives, together. Come see if we're the right team for you.
AKASA is a proud equal opportunity employer and we believe that a diverse and inclusive workforce is an imperative. We welcome people of different backgrounds, genders, races, ethnicities, abilities, sexual orientations, and perspectives, just to name a few. We do not discriminate based upon any protected class and we encourage candidates of all identities and backgrounds to apply. AKASA considers qualified applicants regardless of criminal histories in accordance with the San Francisco Fair Chance Ordinance.
AKASA is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].
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