Jobs - Jobs4Americans

Sr. Technical Program Manager Location South San Francisco; San Francisco Employment Type Full time Location Type Hybrid Department Engineering Overview Application 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 recent recognitions include being named one of America's Top Startup Employers 2026 by Forbes, #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 6 years in a row. 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. About the Role As a Sr. Technical Program Manager, you'll report to the Sr. TPM Manager and will work with AKASA's product managers, internal engineering and customer success teams to design, build, launch, and scale new products and features. Specifically, you'll build initiative plans and establish timelines, serve as a player/coach in translating product requirements into technical specifications, iterate with our engineering team to turn those specifications into working products, and roll out those products in our customers' systems. 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 two days per week in the office or our NYC team for co-working days. What You'll Do Manage the SDLC for our products from start to finish, including creating timelines and milestones for key product initiatives, breaking down product specifications into manageable development deliverables, and serving as a key point of contact for final testing, deployment, and hypercare support Understand technical tradeoffs and/or blockers and seamlessly communicate them to non-technical audiences, executive leadership, and cross-functional stakeholders Utilize data to drive decision-making, conflict resolution, and creative problem-solving Define and execute comprehensive UAT plans, coordinating test cases, issue tracking, and stakeholder sign-off to ensure successful product readiness Own the scrum process and make improvements when necessary to accelerate team velocity Be accountable for schedules, track and report progress regularly to all stakeholders while mitigating risks along the way Work with engineering leadership to clearly define monthly, and quarterly objectives for engineering teams Act as the swiss army knife for your project team and step in to fill in any gaps not covered by team members Ensure the quality and completeness of product and project requirement documents Keep the focus on top priorities while shielding the team from distractions and interferences Be an advocate for agile development best practices across the organization Skills & Qualifications Strong technical background - You are comfortable using software tools like Github and can understand the technical details of Generative AI products without a steep learning curve Clear communicator - Can effectively influence and communicate cross-functionally with all roles and levels of management; Able to use clear, simple language to translate business needs into technical requirements Detail-oriented - You are an expert at tracking details at the lowest level and use these intricacies to inform high-level conversations Jira expert - You live and breathe JIRA; Be comfortable with JIRA project management from initializing sprints, building dashboards to visualize work, automating workflows, and querying to find specific artifacts Analytical - Ability to leverage intelligence dashboards in solutions such as Superset, Tableau, or Looker Effective change agent - You exhibit strong communication skills. You can build rapport and good working relationships with senior leaders and peers. You can separate facts from opinions, and take the perspectives of others and reach a workable solution. You are flexible in how you influence leaders to achieve the right outcomes Excellent executor - You effectively manage complex projects and demonstrate consistent attention to detail. In ambiguous situations, you are able to account for unknowns and recover from setbacks well Startup experience is strongly preferred 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 market data and other factors, the salary range for this position is $160,000 - $220,000 + 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. 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. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by AKASA for a position based in the United States. Employers on this board attest they are hiring domestically.

Supply Chain

55 days ago

Product Operations & QA Specialist

AKASA · San Francisco, California, United States

Pay

$60k–85k

Setting

Hybrid

Apply Sign in to favorite Permalink

Product Operations & QA Specialist Location San Francisco; New York City, New York, United States Employment Type Full time Location Type Hybrid Department Product Overview Application 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 recent recognitions include being named one of America's Top Startup Employers 2026 by Forbes, #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 6 years in a row. 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. About the Role We're looking for a Product Operations & QA Specialist to help us ship reliable, high-quality healthcare software. This is a role for someone who thinks like an owner: you'll be the person who catches what others miss, turns messy support signals into clear action, and makes sure releases go out only when they're truly ready. You'll own the full quality lifecycle for one or more product areas: from building smart regression suites to triaging real-world issues from the front lines of support. It's a role that blends rigor with judgment: you'll need to know when a bug is a blocker and when it's noise, and you'll need to communicate that distinction clearly to PMs, engineers, and stakeholders who are counting on your read. If you've worked in a hospital or clinic and know what's actually at stake when healthcare software breaks, and you want to bring that firsthand perspective into how a product gets tested, supported, and improved, we'd love to talk. What You'll Do Own end-to-end testing and support for one or more product areas Design, maintain and improve testing plans, regression suites, and QA checklists. Help define go/no-go criteria for releases in their product area, in partnership with PM/TPM/eng. Own tier-one and triage workflows for their product area: Triage and route complex or high-impact issues to the right stakeholders. Monitor and report on key support metrics for their product area. Skills & Qualifications Minimum 2 years of experience in a healthcare setting (hospital or clinic) required Owns operational excellence (quality + support + content) for defined product areas. Strong ability to prioritize testing and support work based on risk and impact. Communicates patterns and insights in a structured, persuasive way. Anticipates issues and proactively updates content and processes. Familiarity with some or all of the following tasks: Regression and feature testing frameworks. Tier-one support workflows and SLAs. Systematic analysis of support tickets. Structured feedback loops with PM and eng. Is a self-motivated team player with excellent communication and problem solving skills Proven ability to successfully and effectively manage goals and deadlines Can successfully work independently in a remote/virtual work environment 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 market data and other factors, the salary range for this position is $60,000-$85,000 + 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. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by AKASA for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

273 days ago

Sr. Forward Deployed Engineer

AKASA · New York City, NY, United States

Pay

$170k–205k

Setting

Hybrid

Apply Sign in to favorite Permalink

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 recent recognitions include being named one of America's Top Startup Employers 2026 by Forbes, #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 6 years in a row.

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.

About the Role

As a Sr. Forward Deployed Engineer, you’ll deliver client deployments that empower healthcare revenue cycle teams to work faster, more accurately, and with greater insight. You will work on the lifecycle and deployment of the ML models that power our products.

You’ll work closely with client engagement, product, and R&D teams to ensure smooth deployments, ongoing production stability and expansion of our deployment platform.

What You'll Do

Execute implementation tasks for new deployments — from requirements analysis to configuration, testing, rollout, and support of production health.
Work with client engagement teams to guide customers through technical onboarding, integration setup, troubleshooting, and data acquisition
Build and own evaluation frameworks to continuously measure and improve LLM performance across customer deployments
Contribute feedback and insights that shape product and platform improvements
Work closely with R&D engineering teams to build robust scalable client solutions

Skills & Qualifications

Bachelor's degree in Computer Science, Engineering, or similar
5+ years of professional Python experience
Experience designing and running LLM evals (offline and online) to measure model quality and performance.
Comfortable working with relational databases, APIs, and ETL pipelines
Strong communication and interpersonal skills with meticulous attention to detail

Nice to haves

Familiarity with FastAPI, SQLAlchemy, Postgres.
Proficiency in Docker, Kubernetes, AWS.
CI/CD experience with GitHub Actions.
Experience with healthcare data exchange (FHIR, HL7, EDI)
Frontend experience (React)

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 market data and other factors, the salary range for this position is $170,000-$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

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.

Listed by AKASA for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

518 days ago

Sr. Machine Learning Engineer

AKASA · United States

Pay

$175k–230k

Setting

Remote

Apply Sign in to favorite Permalink

Sr. Machine Learning Engineer Location Remote - United States Employment Type Full time Location Type Remote Department Engineering Overview Application 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 recent recognitions include being named one of America's Top Startup Employers 2026 by Forbes, #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 6 years in a row. 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. About the Role As a Sr. Machine Learning Engineer, you'll report to our Engineering Manager and work with a talented team of PhD Researchers, ML Engineers, and healthcare experts. You will put machine learning into practice, so your code directly affects our customers immediately. You’ll work with large proprietary medical and clinical datasets containing structured documents, natural language and images. Our mission is to empower healthcare professionals with tools that amplify their capabilities, making them faster, more comprehensive, and more effective in their roles. 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. The local R&D teams come into the office every Wednesday for co-working days, which this role will be expected to attend. What You'll Do Participate in developing state-of-the-art ML solutions to address large-scale healthcare problems Own ML services end-to-end, including problem discovery, data pipeline development, inference optimizations, model experimentation, and service deployment Help develop pipelines that collect, preprocess, and deliver data with a measurable quality Write production-ready software with well-tested and efficient algorithms Develop state-of-the-art ML algorithms across large-language models, probabilistic inference and computer vision to solve problems like medical document entity extraction, medical coding and claim outcome prediction Help build novel, application-specific ML models - all of our products are built from the ground up with ML at their core, enabling us to deploy our predictions in new and interesting ways Skills & Qualifications Master's degree in Computer Science or similar 5+ years of work experience in machine learning and data engineering Experience launching production ML systems from the ground up Experience with Large Language Models, including both open source model deployment and agentic workflows; ideal: experience directly training or fine-tuning LLMs Proficiency in one or more programming languages such as Python and C++ Development experience with cloud platforms such as Spark, AWS & k8s Knowledge of ML frameworks such as Scikit-Learn, Pytorch & TensorFlow 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 market data and other factors, the salary range for this position is $175,000-$230,000 + 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. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by AKASA for a position based in the United States. Employers on this board attest they are hiring domestically.

Select a role

The full posting opens here — pay, setting and the full description, without leaving the list.