Why This Job is Featured on The SaaS Jobs
Why this Role is Featured on The SaaS Jobs
This full stack engineering role stands out in SaaS because it sits at the intersection of product delivery and AI-enabled workflows, within a B2B application used by large enterprise customers. The listing signals a company operating with real production usage and commercial traction, where engineering choices directly shape how an AI assistant behaves, integrates with external systems, and earns trust through correctness and auditability.
For a SaaS career, the value is in building repeatable skills that translate across modern product-led organizations: owning features end to end, designing API integrations, and working within a disciplined shipping environment that includes testing, CI, containerization, and orchestration. The emphasis on collaborating with domain experts and incorporating user feedback also mirrors how successful SaaS teams reduce product risk and iterate toward measurable outcomes.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About AKASA
At AKASA, our mission is to build the future of healthcare with AI. As the leading provider of generative AI solutions for the healthcare revenue cycle, we help health systems comprehensively capture and communicate the full patient clinical journey. By empowering health systems to streamline their operations, they can focus on what matters most - delivering quality patient care. We have raised over $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.
This is the most exciting time to join AKASA. Revenue bookings for our new AI-native product suite have grown over 20x since launching in 2024. In this time, we have broken our record for the largest deal in company history three times consecutively. This growth is driven by the massive improvement we are generating for our customers across clinical quality and documentation accuracy, both top priority areas for health system leaders.
Our deployments have been recognized nationally as "one of the most comprehensive real-world uses of GenAI in healthcare finance to date" (link). Our customer base represents more than $120B+ in net patient revenue and includes the most innovative health systems in the country, like Cleveland Clinic, Duke, Stanford, and Johns Hopkins.
Some of our most recent recognitions include being named the #1 most promising healthcare RCM startup of 2025 by Black Book Market Research and one of the fastest-growing GenAI startups to watch by AIM Research. 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.
We’re building on this momentum to redefine what’s possible in healthcare. We’re looking for exceptional people to help us accelerate that reality.
Why Join Us
Advisor – an AI assistant for revenue cycle teams – is an early, high-leverage product with real revenue being used by some of the top Health Systems and a huge greenfield runway. Our engineering style is intentionally AI-first: we treat large language models and code-writing assistants (you’ll be working closely with Claude Code) as teammates and development accelerants. If you’re excited about having a real impact on healthcare, shipping products, talking to customers, and shaping what an AI-augmented engineering team looks like, you’ll be a great fit.
The Opportunity
You’ll join a small, product-focused team to evolve Advisor into a single, general, agentic product that revenue cycle teams love. This is a 0→1 / 1→N role: you’ll move fast, iterate with real users, and own features end-to-end from design through testing and deployment.
Short-term impact (first 30–90 days)
You’ll ship concrete, high-impact work quickly:
Evolve Advisor from a UI-centric product to a more agentic architecture.
Implement external APIs to enhance Advisor’s knowledge base.
Explore additional surface areas for the product.
What You'll Do
Own feature development for Advisor: design, implement, test and deploy production features (Python backend + modern JS/TS frontend).
Collaborate with product, clinical SMEs, and revenue cycle teams to iterate quickly and validate hypotheses.
Use Claude Code as a development collaborator: prompt it, review and edit its output, and integrate its work into the codebase and CI pipelines.
Design and implement integrations to external APIs for evidence/medical data, ensuring correctness and auditability.
Maintain a strong testing culture: unit, integration and E2E tests; continuous delivery via Docker and Kubernetes.
Be a pragmatic engineer – ship fast, iterate from real user feedback, and improve systems for scale and reliability.
Communicate clearly in writing: design proposals, PR descriptions, and conversations with revenue cycle teams and collaborators.
Skills & Qualifications
5-8 years of work experience
Strong hands-on experience with Python and JavaScript/TypeScript (full-stack comfort).
Comfortable writing and reading a lot of code, and strong habits around testing and automation.
Experience with or eagerness to use Claude Code as a collaborator for software development — you’re comfortable with AI-assisted workflows and want to push them forward.
Startup experience and a proven track record of building projects 0→1 (and iterating quickly).
Production experience with Postgres (data modeling, migrations, performance).
Comfortable with Docker and modern deployment workflows.
Comfort working independently and owning user feedback end-to-end
Excellent written communication.
Nice To Haves
Bias toward action over perfection; self-directed but highly collaborative.
Previous experience building or shipping an agent/advisor product or other agentic systems.
Familiarity with Kubernetes.
Clinical or health-data domain experience (helpful for working with evidence sources).
Experience building or maintaining in-browser integrations.
Why You’ll Love Working Here
You’ll work on a product where you can talk to revenue cycle teams every day — no intermediaries — and iterate quickly based on real usage.
We’re intentionally experimenting with what AI-augmented teams look like; this role gives you the chance to shape those norms.
Advisor already has commercial traction and lots of greenfield opportunities — your work will directly affect product trajectory and business outcomes.
Close collaboration with founders and cross-functional teams; real ownership and visibility.
AKASA offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. Candidates for this role must be based in the San Francisco Bay Area and come to the office located in South San Francisco, 3 days a week - (Tuesday / Wednesday / Thursday)
What We Offer
Flexible 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
Home office stipend
Cell phone/internet reimbursement
Company-paid holidays
401(K) plan
Compensation
Based on geo, market data, and other factors, the salary range for this position is $180,000-$210,000 + 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 recruiting@akasa.com.
