OpenEvidence is the most widely used medical AI platform in the world.
In just over a year, our usage has grown to >65% of US clinicians via product-led word of mouth adoption. We are a $12B company with a 30 person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are growing our team to seize a once-in-a-lifetime opportunity to define the default platform for medical AI. If you are a world-class engineer or scientist looking to define the bleeding edge and deliver concrete outcomes that impact hundreds of millions of lives, we want to talk.
Culture
We believe work is something that should be engaged with at a world-class level. Building 0->1 and scaling 1->1000 are professional sports, and uncompromising excellence is the bar. We believe building technologies that haven't existed is only possible with end to end ownership. We don't have separate product managers–every engineer and scientist is responsible for landing major improvements to the product. Important things are accomplished when an individual decides to accomplish them.
We believe that work should be hard. We believe good work is precise and intentional. There are no sacred cows. Doing something a certain way just because that's how others are doing it guarantees mediocrity. We believe the quality of the product is paramount and the smallest details matter most. At the same time, developer and product velocity are essential. The best engineers know how to jump right to the hardest part of the problem and take every possible shortcut while keeping the user experience pristine. We believe an engineer's job is to complete and announce important projects and demonstrate their impact, or fail fast and pivot.
Who are you?
If you are looking to complete tickets 9-5 that someone else assigns, this job is not for you. If you are looking to write papers, this job is not for you. If you are looking to lean in and get your hands dirty, bruised, and bloody making something from nothing, personally impact hundreds of millions of lives, and drive ten figures of revenue, this job might be for you.
The ideal candidate is a brilliant builder. They are smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, and low-ego. Does that sound rare? It is rare, we have only found 30 of them, and we would like to find more.
Skillsets
Specific skillsets are secondary, but some important spikes for different facets of our work are:
Machine learning
You have experience pushing the boundaries of what modern models are capable of.
You have a background in research, but find yourself drawn to actually making things instead of writing papers, and want real ownership and autonomy to build the future.
Evaluation and quantitative proof are first-class citizens to you.
Applied AI
You excel at building end-to-end systems grounded in a strong intuition about how to leverage modern models as components of extremely thoughtful, intentional systems.
Fullstack
You love building end-to-end and seeing ideas through to completion.
The concept of creating something with your own two hands and then seeing that used and loved by millions of the most discerning users in the world is highly motivating.
Frontend and/or mobile
You are personally in control of the direct user experience. You have extreme attention to detail, and strive to make beautiful, modern, intentional interfaces.
You might have experience building beautiful mobile apps that users find to be a joy to use.
Infrastructure / site reliability
Every single moment of downtime for a service used in literally life or death moments is something you want to personally eliminate.
You thrive building robust, optimized backends for mission-critical domains.
Speed
You know that improving speed doesn’t just make things faster, it can completely transform the user experience.
You enjoy tracking down and optimizing away every single source of inefficiency to create magical experiences for users.
Our engineering team is in-person 5 days a week in SF and Miami. We believe in creating an environment that optimizes for focus and productivity, including providing meals, transport and anything else you need to move quickly.
","descriptionPlain":"OpenEvidence is the most widely used medical AI platform in the world.\n\nIn just over a year, our usage has grown to >65% of US clinicians via product-led word of mouth adoption. We are a $12B company with a 30 person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are growing our team to seize a once-in-a-lifetime opportunity to define the default platform for medical AI. If you are a world-class engineer or scientist looking to define the bleeding edge and deliver concrete outcomes that impact hundreds of millions of lives, we want to talk.\n\n\n\nCulture\n\nWe believe work is something that should be engaged with at a world-class level. Building 0->1 and scaling 1->1000 are professional sports, and uncompromising excellence is the bar. We believe building technologies that haven't existed is only possible with end to end ownership. We don't have separate product managers–every engineer and scientist is responsible for landing major improvements to the product. Important things are accomplished when an individual decides to accomplish them.\n\nWe believe that work should be hard. We believe good work is precise and intentional. There are no sacred cows. Doing something a certain way just because that's how others are doing it guarantees mediocrity. We believe the quality of the product is paramount and the smallest details matter most. At the same time, developer and product velocity are essential. The best engineers know how to jump right to the hardest part of the problem and take every possible shortcut while keeping the user experience pristine. We believe an engineer's job is to complete and announce important projects and demonstrate their impact, or fail fast and pivot.\n\n\n\nWho are you?\n\nIf you are looking to complete tickets 9-5 that someone else assigns, this job is not for you. If you are looking to write papers, this job is not for you. If you are looking to lean in and get your hands dirty, bruised, and bloody making something from nothing, personally impact hundreds of millions of lives, and drive ten figures of revenue, this job might be for you.\n\nThe ideal candidate is a brilliant builder. They are smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, and low-ego. Does that sound rare? It is rare, we have only found 30 of them, and we would like to find more.\n\n\n\n\nSkillsets\n\nSpecific skillsets are secondary, but some important spikes for different facets of our work are:\n\n\n\nMachine learning\n\n - You have experience pushing the boundaries of what modern models are capable of.\n\n - You have a background in research, but find yourself drawn to actually making things instead of writing papers, and want real ownership and autonomy to build the future.\n\n - Evaluation and quantitative proof are first-class citizens to you.\n\n\n\nApplied AI\n\n - You excel at building end-to-end systems grounded in a strong intuition about how to leverage modern models as components of extremely thoughtful, intentional systems.\n\n\n\nFullstack\n\n - You love building end-to-end and seeing ideas through to completion.\n\n - The concept of creating something with your own two hands and then seeing that used and loved by millions of the most discerning users in the world is highly motivating.\n\n\n\nFrontend and/or mobile\n\n - You are personally in control of the direct user experience. You have extreme attention to detail, and strive to make beautiful, modern, intentional interfaces.\n\n - You might have experience building beautiful mobile apps that users find to be a joy to use.\n\n\n\nInfrastructure / site reliability\n\n - Every single moment of downtime for a service used in literally life or death moments is something you want to personally eliminate.\n\n - You thrive building robust, optimized backends for mission-critical domains.\n\n\n\nSpeed\n\n - You know that improving speed doesn’t just make things faster, it can completely transform the user experience.\n\n - You enjoy tracking down and optimizing away every single source of inefficiency to create magical experiences for users.\n\n\n\n\n\nOur engineering team is in-person 5 days a week in SF and Miami. We believe in creating an environment that optimizes for focus and productivity, including providing meals, transport and anything else you need to move quickly."},{"id":"4ca13c92-2a6f-4847-8bcd-22aa8b29cde8","title":"Software Engineer, Backend and Infrastructure","department":"Engineering","team":"Core Engineering","employmentType":"FullTime","location":"Miami","secondaryLocations":[],"publishedAt":"2026-02-11T00:28:13.229+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Florida","addressCountry":"United States","addressLocality":"Miami"}},"jobUrl":"https://jobs.ashbyhq.com/openevidence/4ca13c92-2a6f-4847-8bcd-22aa8b29cde8","applyUrl":"https://jobs.ashbyhq.com/openevidence/4ca13c92-2a6f-4847-8bcd-22aa8b29cde8/application","descriptionHtml":"As a Software Engineer, Backend and Infrastructure, you will build the mission-critical backend powering our medical AI platform used by healthcare providers worldwide. You will architect and scale core systems, including service reliability and data platforms with autonomy to shape performance, security, and infrastructure design for sensitive medical data.
We hire exceptional builders, not in narrow lanes. Engineers work across products and projects, owning work wherever they can create the most impact.
OpenEvidence is the most widely used medical AI platform in the world.
In just over a year, our usage has grown to >65% of US clinicians via product-led word of mouth adoption. We are a $12B company with a 30-person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are growing our team to seize a once-in-a-lifetime opportunity to define the default platform for medical AI.
If you are a world-class engineer or scientist looking to define the bleeding edge and deliver concrete outcomes that impact hundreds of millions of lives, we want to talk.
We believe work should be engaged with at a world-class level. Building 0->1 and scaling 1->1000 are professional sports, and uncompromising excellence is the bar. We believe building technologies that haven't existed is only possible with end-to-end ownership. Important things are accomplished when an individual decides to accomplish them.
If you are looking to complete tickets 9-5, this job is not for you. If you are looking to write papers, this job is not for you. If you are looking to lean in and get your hands dirty, bruised, and bloody, making something from nothing, personally impacting hundreds of millions of lives, and driving ten figures of revenue, this job might be for you.
The ideal candidate is a brilliant builder. They are smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, and low-ego. Does that sound rare? It is rare, we have only found 30 of them, and we would like to find more.
This full-time role on our engineering team is in-person 5 days a week in Miami.
","descriptionPlain":"ROLE \n\nAs a Software Engineer, Backend and Infrastructure, you will build the mission-critical backend powering our medical AI platform used by healthcare providers worldwide. You will architect and scale core systems, including service reliability and data platforms with autonomy to shape performance, security, and infrastructure design for sensitive medical data. \n\n\n\nWe hire exceptional builders, not in narrow lanes. Engineers work across products and projects, owning work wherever they can create the most impact.\n\n\n\n\nABOUT US \n\nOpenEvidence is the most widely used medical AI platform in the world. \n\n\n\nIn just over a year, our usage has grown to >65% of US clinicians via product-led word of mouth adoption. We are a $12B company with a 30-person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are growing our team to seize a once-in-a-lifetime opportunity to define the default platform for medical AI.\n\n\n\nIf you are a world-class engineer or scientist looking to define the bleeding edge and deliver concrete outcomes that impact hundreds of millions of lives, we want to talk.\n\n\n\n\nCULTURE\n\nWe believe work should be engaged with at a world-class level. Building 0->1 and scaling 1->1000 are professional sports, and uncompromising excellence is the bar. We believe building technologies that haven't existed is only possible with end-to-end ownership. Important things are accomplished when an individual decides to accomplish them.\n\n\n\n\nWHO ARE YOU?\n\nIf you are looking to complete tickets 9-5, this job is not for you. If you are looking to write papers, this job is not for you. If you are looking to lean in and get your hands dirty, bruised, and bloody, making something from nothing, personally impacting hundreds of millions of lives, and driving ten figures of revenue, this job might be for you.\n\n\n\nThe ideal candidate is a brilliant builder. They are smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, and low-ego. Does that sound rare? It is rare, we have only found 30 of them, and we would like to find more.\n\n\n\n\nLOCATION\n\nThis full-time role on our engineering team is in-person 5 days a week in Miami.\n\n"},{"id":"2437caa5-aeeb-49bb-ab6c-e683bc2b874d","title":"Security Engineer","department":"Engineering","team":"Core Engineering","employmentType":"FullTime","location":"Miami","secondaryLocations":[{"location":"Remote","address":{"postalAddress":{"addressCountry":"United States"}}},{"location":"San Francisco","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-02-11T00:49:25.765+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Florida","addressCountry":"United States","addressLocality":"Miami"}},"jobUrl":"https://jobs.ashbyhq.com/openevidence/2437caa5-aeeb-49bb-ab6c-e683bc2b874d","applyUrl":"https://jobs.ashbyhq.com/openevidence/2437caa5-aeeb-49bb-ab6c-e683bc2b874d/application","descriptionHtml":"As a Security Engineer working at OpenEvidence, you will be a key architect and driver in securing the mission-critical infrastructure powering our medical AI platform used by healthcare providers worldwide, with ownership over the security posture, compliance integrity, and resilience of our production ecosystem. You will design and harden cloud infrastructure using defense-in-depth principles, improving security observability and establishing robust controls across services and data platforms that handle sensitive medical information.
We hire exceptional builders, not in narrow lanes. Engineers work across products and projects, owning work wherever they can create the most impact.
OpenEvidence is the most widely used medical AI platform in the world.
In just over a year, our usage has grown to >65% of US clinicians via product-led word of mouth adoption. We are a $12B company with a 30-person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are growing our team to seize a once-in-a-lifetime opportunity to define the default platform for medical AI.
If you are a world-class engineer or scientist looking to define the bleeding edge and deliver concrete outcomes that impact hundreds of millions of lives, we want to talk.
We believe work should be engaged with at a world-class level. Building 0->1 and scaling 1->1000 are professional sports, and uncompromising excellence is the bar. We believe building technologies that haven't existed is only possible with end-to-end ownership. Important things are accomplished when an individual decides to accomplish them.
If you are looking to complete tickets 9-5, this job is not for you. If you are looking to write papers, this job is not for you. If you are looking to lean in and get your hands dirty, bruised, and bloody, making something from nothing, personally impacting hundreds of millions of lives, and driving ten figures of revenue, this job might be for you. The ideal candidate is a brilliant builder. They are smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, and low-ego.
Must be authorized to work in the United States without sponsorship now or in the future.
","descriptionPlain":"ROLE \n\nAs a Security Engineer working at OpenEvidence, you will be a key architect and driver in securing the mission-critical infrastructure powering our medical AI platform used by healthcare providers worldwide, with ownership over the security posture, compliance integrity, and resilience of our production ecosystem. You will design and harden cloud infrastructure using defense-in-depth principles, improving security observability and establishing robust controls across services and data platforms that handle sensitive medical information. \n\nWe hire exceptional builders, not in narrow lanes. Engineers work across products and projects, owning work wherever they can create the most impact.\n\n\n\n\nABOUT US \n\nOpenEvidence is the most widely used medical AI platform in the world. \n\n\n\nIn just over a year, our usage has grown to >65% of US clinicians via product-led word of mouth adoption. We are a $12B company with a 30-person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are growing our team to seize a once-in-a-lifetime opportunity to define the default platform for medical AI.\n\n\n\nIf you are a world-class engineer or scientist looking to define the bleeding edge and deliver concrete outcomes that impact hundreds of millions of lives, we want to talk.\n\n\n\n\nCULTURE\n\nWe believe work should be engaged with at a world-class level. Building 0->1 and scaling 1->1000 are professional sports, and uncompromising excellence is the bar. We believe building technologies that haven't existed is only possible with end-to-end ownership. Important things are accomplished when an individual decides to accomplish them.\n\n\n\n\nWHO ARE YOU?\n\nIf you are looking to complete tickets 9-5, this job is not for you. If you are looking to write papers, this job is not for you. If you are looking to lean in and get your hands dirty, bruised, and bloody, making something from nothing, personally impacting hundreds of millions of lives, and driving ten figures of revenue, this job might be for you. The ideal candidate is a brilliant builder. They are smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, and low-ego.\n\n\n\n\nELIGIBILITY\n\nMust be authorized to work in the United States without sponsorship now or in the future.\n\n"},{"id":"e4cb00ad-9d09-47f8-a67c-5452a1739a11","title":"Software Engineer, Site Reliability","department":"Engineering","team":"Core Engineering","employmentType":"FullTime","location":"Miami","secondaryLocations":[{"location":"Remote","address":{"postalAddress":{"addressCountry":"United States"}}},{"location":"San Francisco","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-02-11T00:54:47.012+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Florida","addressCountry":"United States","addressLocality":"Miami"}},"jobUrl":"https://jobs.ashbyhq.com/openevidence/e4cb00ad-9d09-47f8-a67c-5452a1739a11","applyUrl":"https://jobs.ashbyhq.com/openevidence/e4cb00ad-9d09-47f8-a67c-5452a1739a11/application","descriptionHtml":"As a Software Engineer working on Site Reliability at OpenEvidence, you will build and harden the mission-critical infrastructure powering our medical AI platform used by healthcare providers worldwide. You will apply an SRE mindset to improve systemic health, performance, and efficiency, reducing toil, strengthening observability, and defining robust service objectives across services and data platforms. You will ensure our on-call processes and incident response are seamless and effective.
We hire exceptional builders, not in narrow lanes. Engineers work across products and projects, owning work wherever they can create the most impact.
OpenEvidence is the most widely used medical AI platform in the world.
In just over a year, our usage has grown to >65% of US clinicians via product-led word of mouth adoption. We are a $12B company with a 30-person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are growing our team to seize a once-in-a-lifetime opportunity to define the default platform for medical AI.
If you are a world-class engineer or scientist looking to define the bleeding edge and deliver concrete outcomes that impact hundreds of millions of lives, we want to talk.
We believe work should be engaged with at a world-class level. Building 0->1 and scaling 1->1000 are professional sports, and uncompromising excellence is the bar. We believe building technologies that haven't existed is only possible with end-to-end ownership. Important things are accomplished when an individual decides to accomplish them.
If you are looking to complete tickets 9-5, this job is not for you. If you are looking to write papers, this job is not for you. If you are looking to lean in and get your hands dirty, bruised, and bloody, making something from nothing, personally impacting hundreds of millions of lives, and driving ten figures of revenue, this job might be for you.
The ideal candidate is a brilliant builder. They are smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, and low-ego. Does that sound rare? It is rare, we have only found 30 of them, and we would like to find more.
","descriptionPlain":"ROLE \n\nAs a Software Engineer working on Site Reliability at OpenEvidence, you will build and harden the mission-critical infrastructure powering our medical AI platform used by healthcare providers worldwide. You will apply an SRE mindset to improve systemic health, performance, and efficiency, reducing toil, strengthening observability, and defining robust service objectives across services and data platforms. You will ensure our on-call processes and incident response are seamless and effective.\n\n\nWe hire exceptional builders, not in narrow lanes. Engineers work across products and projects, owning work wherever they can create the most impact.\n\n\n\n\nABOUT US \n\nOpenEvidence is the most widely used medical AI platform in the world. \n\n\n\nIn just over a year, our usage has grown to >65% of US clinicians via product-led word of mouth adoption. We are a $12B company with a 30-person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are growing our team to seize a once-in-a-lifetime opportunity to define the default platform for medical AI.\n\n\n\nIf you are a world-class engineer or scientist looking to define the bleeding edge and deliver concrete outcomes that impact hundreds of millions of lives, we want to talk.\n\n\n\n\nCULTURE\n\nWe believe work should be engaged with at a world-class level. Building 0->1 and scaling 1->1000 are professional sports, and uncompromising excellence is the bar. We believe building technologies that haven't existed is only possible with end-to-end ownership. Important things are accomplished when an individual decides to accomplish them.\n\n\n\n\nWHO ARE YOU?\n\nIf you are looking to complete tickets 9-5, this job is not for you. If you are looking to write papers, this job is not for you. If you are looking to lean in and get your hands dirty, bruised, and bloody, making something from nothing, personally impacting hundreds of millions of lives, and driving ten figures of revenue, this job might be for you.\n\n\n\nThe ideal candidate is a brilliant builder. They are smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, and low-ego. Does that sound rare? It is rare, we have only found 30 of them, and we would like to find more.\n\n"},{"id":"80ca886f-2c07-43b2-8978-07c37542a207","title":"Research Scientist","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Miami","address":{"postalAddress":{"addressRegion":"Florida","addressCountry":"United States","addressLocality":"Miami"}}}],"publishedAt":"2026-02-11T01:00:51.169+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/openevidence/80ca886f-2c07-43b2-8978-07c37542a207","applyUrl":"https://jobs.ashbyhq.com/openevidence/80ca886f-2c07-43b2-8978-07c37542a207/application","descriptionHtml":"As a Research Scientist working at OpenEvidence, you will push the boundaries of what modern models are capable of, bringing a research background focused on building real systems instead of writing papers. You will own problems end-to-end with autonomy, treating evaluation and quantitative proof as first-class citizens in everything you create.
We hire exceptional builders, not in narrow lanes. Engineers and scientists work across products and projects, owning work wherever they can create the most impact.
OpenEvidence is the most widely used medical AI platform in the world.
In just over a year, our usage has grown to >65% of US clinicians via product-led word of mouth adoption. We are a $12B company with a 30-person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are growing our team to seize a once-in-a-lifetime opportunity to define the default platform for medical AI.
If you are a world-class engineer or scientist looking to define the bleeding edge and deliver concrete outcomes that impact hundreds of millions of lives, we want to talk.
We believe work should be engaged with at a world-class level. Building 0->1 and scaling 1->1000 are professional sports, and uncompromising excellence is the bar. We believe building technologies that haven't existed is only possible with end-to-end ownership. Important things are accomplished when an individual decides to accomplish them.
If you are looking to complete tickets 9-5, this job is not for you. If you are looking to write papers, this job is not for you. If you are looking to lean in and get your hands dirty, bruised, and bloody, making something from nothing, personally impacting hundreds of millions of lives, and driving ten figures of revenue, this job might be for you.
The ideal candidate is a brilliant builder. They are smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, and low-ego. Does that sound rare? It is rare, we have only found 30 of them, and we would like to find more.
This role is based in US - open to remote.
","descriptionPlain":"ROLE \n\nAs a Research Scientist working at OpenEvidence, you will push the boundaries of what modern models are capable of, bringing a research background focused on building real systems instead of writing papers. You will own problems end-to-end with autonomy, treating evaluation and quantitative proof as first-class citizens in everything you create.\n\nWe hire exceptional builders, not in narrow lanes. Engineers and scientists work across products and projects, owning work wherever they can create the most impact.\n\n\n\n\nABOUT US \n\nOpenEvidence is the most widely used medical AI platform in the world. \n\n\n\nIn just over a year, our usage has grown to >65% of US clinicians via product-led word of mouth adoption. We are a $12B company with a 30-person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are growing our team to seize a once-in-a-lifetime opportunity to define the default platform for medical AI.\n\n\n\nIf you are a world-class engineer or scientist looking to define the bleeding edge and deliver concrete outcomes that impact hundreds of millions of lives, we want to talk.\n\n\n\n\nCULTURE\n\nWe believe work should be engaged with at a world-class level. Building 0->1 and scaling 1->1000 are professional sports, and uncompromising excellence is the bar. We believe building technologies that haven't existed is only possible with end-to-end ownership. Important things are accomplished when an individual decides to accomplish them.\n\n\n\n\nWHO ARE YOU?\n\nIf you are looking to complete tickets 9-5, this job is not for you. If you are looking to write papers, this job is not for you. If you are looking to lean in and get your hands dirty, bruised, and bloody, making something from nothing, personally impacting hundreds of millions of lives, and driving ten figures of revenue, this job might be for you.\n\n\n\nThe ideal candidate is a brilliant builder. They are smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, and low-ego. Does that sound rare? It is rare, we have only found 30 of them, and we would like to find more.\n\n\n\n\nLOCATION\n\nThis role is based in US - open to remote."},{"id":"ef077fba-d269-40e8-9610-35f8246262cc","title":"Member of Technical Staff, Beneficial Deployments","department":"Beneficial Deployments","team":"Beneficial Deployments","employmentType":"FullTime","location":"Miami","secondaryLocations":[{"location":"San Francisco","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-09-19T15:46:23.492+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Florida","addressCountry":"United States","addressLocality":"Miami"}},"jobUrl":"https://jobs.ashbyhq.com/openevidence/ef077fba-d269-40e8-9610-35f8246262cc","applyUrl":"https://jobs.ashbyhq.com/openevidence/ef077fba-d269-40e8-9610-35f8246262cc/application","descriptionHtml":"OpenEvidence is the most widely used medical AI platform in the world.
In just over a year, our usage has grown to >40% of US clinicians via product-led word of mouth adoption. We are a $12B company with a 30 person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are growing our team to seize a once-in-a-lifetime opportunity to define the default platform for medical AI. If you are a world-class engineer or scientist looking to define the bleeding edge and deliver concrete outcomes that impact hundreds of millions of lives, we want to talk.
Culture
We believe work is something that should be engaged with at a world-class level. Building 0->1 and scaling 1->1000 are professional sports, and uncompromising excellence is the bar. We believe building technologies that haven't existed is only possible with end to end ownership. We don't have separate product managers–every engineer and scientist is responsible for landing major improvements to the product. Important things are accomplished when an individual decides to accomplish them.
We believe that work should be hard. We believe good work is precise and intentional. Doing something a certain way just because that's how others are doing it guarantees mediocrity. We believe the quality of the product is paramount and the smallest details matter most. At the same time, developer and product velocity are essential. The best engineers know how to jump right to the hardest part of the problem and take every possible shortcut while keeping the user experience pristine. We believe an engineer's job is to complete and announce important projects and demonstrate their impact, or fail fast and pivot.
Who are you?
If you are looking to complete tickets 9-5 that someone else assigns, this job is not for you. If you are looking to write papers, this job is not for you. If you are looking to lean in and get your hands dirty, bruised, and bloody making something from nothing, personally impact hundreds of millions of lives, and drive ten figures of revenue, this job might be for you.
The ideal candidate is a brilliant builder. They are smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, and low-ego. Does that sound rare? It is rare, we have only found 30 of them, and we would like to find more.
Skillsets
Specific skillsets are secondary, but some important spikes for different facets of our work are:
Fullstack
You love building end-to-end and seeing ideas through to completion.
The concept of creating something with your own two hands and then seeing that used and loved by millions of the most discerning users in the world is highly motivating.
Frontend and/or mobile
You are personally in control of the direct user experience. You have extreme attention to detail, and strive to make beautiful, modern, intentional interfaces.
You might have experience building beautiful mobile apps that users find to be a joy to use.
Machine learning
You have experience pushing the boundaries of what modern models are capable of.
You have a background in research, but find yourself drawn to actually making things instead of writing papers, and want real ownership and autonomy to build the future.
Evaluation and quantitative proof are first-class citizens to you.
Infrastructure / site reliability
Every single moment of downtime for a service used in literally life or death moments is something you want to personally eliminate.
You thrive building robust, optimized backends for mission-critical domains.
Speed
You know that improving speed doesn’t just make things faster, it can completely transform the user experience.
You enjoy tracking down and optimizing away every single source of inefficiency to create magical experiences for users.
Applied AI
You excel at building end-to-end systems grounded in a strong intuition about how to leverage modern models as components of extremely thoughtful, intentional systems.
Our engineering team is in-person 5 days a week in SF and Miami. We believe in creating an environment that optimizes for focus and productivity, including providing meals, transport and anything else you need to move quickly.
","descriptionPlain":"OpenEvidence is the most widely used medical AI platform in the world.\n\nIn just over a year, our usage has grown to >40% of US clinicians via product-led word of mouth adoption. We are a $12B company with a 30 person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are growing our team to seize a once-in-a-lifetime opportunity to define the default platform for medical AI. If you are a world-class engineer or scientist looking to define the bleeding edge and deliver concrete outcomes that impact hundreds of millions of lives, we want to talk.\n\n\n\nCulture\n\nWe believe work is something that should be engaged with at a world-class level. Building 0->1 and scaling 1->1000 are professional sports, and uncompromising excellence is the bar. We believe building technologies that haven't existed is only possible with end to end ownership. We don't have separate product managers–every engineer and scientist is responsible for landing major improvements to the product. Important things are accomplished when an individual decides to accomplish them.\n\n\n\nWe believe that work should be hard. We believe good work is precise and intentional. Doing something a certain way just because that's how others are doing it guarantees mediocrity. We believe the quality of the product is paramount and the smallest details matter most. At the same time, developer and product velocity are essential. The best engineers know how to jump right to the hardest part of the problem and take every possible shortcut while keeping the user experience pristine. We believe an engineer's job is to complete and announce important projects and demonstrate their impact, or fail fast and pivot.\n\n\n\nWho are you?\n\nIf you are looking to complete tickets 9-5 that someone else assigns, this job is not for you. If you are looking to write papers, this job is not for you. If you are looking to lean in and get your hands dirty, bruised, and bloody making something from nothing, personally impact hundreds of millions of lives, and drive ten figures of revenue, this job might be for you.\n\n\n\nThe ideal candidate is a brilliant builder. They are smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, and low-ego. Does that sound rare? It is rare, we have only found 30 of them, and we would like to find more.\n\n\n\n\nSkillsets\n\nSpecific skillsets are secondary, but some important spikes for different facets of our work are:\n\n\n\nFullstack\n\n - You love building end-to-end and seeing ideas through to completion.\n\n - The concept of creating something with your own two hands and then seeing that used and loved by millions of the most discerning users in the world is highly motivating.\n\nFrontend and/or mobile\n\n - You are personally in control of the direct user experience. You have extreme attention to detail, and strive to make beautiful, modern, intentional interfaces.\n\n - You might have experience building beautiful mobile apps that users find to be a joy to use.\n\nMachine learning\n\n - You have experience pushing the boundaries of what modern models are capable of.\n\n - You have a background in research, but find yourself drawn to actually making things instead of writing papers, and want real ownership and autonomy to build the future.\n\n - Evaluation and quantitative proof are first-class citizens to you.\n\nInfrastructure / site reliability\n\n - Every single moment of downtime for a service used in literally life or death moments is something you want to personally eliminate.\n\n - You thrive building robust, optimized backends for mission-critical domains.\n\nSpeed\n\n - You know that improving speed doesn’t just make things faster, it can completely transform the user experience.\n\n - You enjoy tracking down and optimizing away every single source of inefficiency to create magical experiences for users.\n\nApplied AI\n\n - You excel at building end-to-end systems grounded in a strong intuition about how to leverage modern models as components of extremely thoughtful, intentional systems.\n\n\n\nOur engineering team is in-person 5 days a week in SF and Miami. We believe in creating an environment that optimizes for focus and productivity, including providing meals, transport and anything else you need to move quickly."},{"id":"102cbd55-a2a0-403e-95da-10d036db997e","title":"Health System Partnerships","department":"Partnerships","team":"Partnerships","employmentType":"FullTime","location":"Remote","secondaryLocations":[],"publishedAt":"2026-08-23T22:36:17.301+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/openevidence/102cbd55-a2a0-403e-95da-10d036db997e","applyUrl":"https://jobs.ashbyhq.com/openevidence/102cbd55-a2a0-403e-95da-10d036db997e/application","descriptionHtml":"About OpenEvidence
OpenEvidence is the most widely used clinical decision support platform among U.S. clinicians. According to independent studies, more American physicians use OpenEvidence than all other AI platforms combined, and it is used daily, on average, by 70% of U.S. clinicians to make high-stakes decisions at the point of care, grounded in and cited to peer-reviewed medical literature. We've built that reach with a team of fewer than 90 people, and the company is now valued at $15B, backed by Sequoia, GV, Kleiner Perkins, and Thrive Capital. Our enterprise partnerships with over 500 health systems and provider groups — including Cedars-Sinai, Mount Sinai, NewYork-Presbyterian, and Memorial Sloan Kettering — are how we bring that platform into the institution: secured, integrated, and connected to the system's own clinical priorities.
The role
Most enterprise sellers in healthcare spend years creating demand for products clinicians have never heard of. Here, the clinicians at the health system already use OpenEvidence. Your job is to turn that bottoms-up adoption into enterprise partnerships, then make those partnerships succeed.
You will own a portfolio of health systems end to end: executive engagement, deal structure, contracting (BAA/MSA/PAA), security and compliance review, deployment and integration scoping, launch, and ongoing growth. You'll work directly with CMOs, CMIOs, CIOs, and CEOs, and directly with our founding team.
What you'll do
Build and run a pipeline of health system partnerships, from first executive conversation through signed agreement, with clear ownership of outcomes for your portfolio.
Navigate enterprise procurement at health systems, including driving legal and privacy review, security assessments, AI governance committees, and clinical informatics stakeholders, in partnership with our Legal and Compliance team.
Scope and lead deployments with Engineering, including SSO, EHR integration, and rollout planning; then drive adoption, measure impact, and run executive business reviews that lead to expansion.
Act as a strategic advisor to health system leadership on how OpenEvidence maps to their clinical, quality, and operational priorities, while staying close to frontline clinicians.
Carry what you learn back to the team: you are the primary channel from health system partners to the engineers building OpenEvidence Enterprise.
You may be a good fit if you
Have 5+ years of enterprise sales or or revenue generating partnerships experience for software or AI products into health systems, including closing enterprise agreements with executive buyers.
Have run multi-stakeholder sales cycles through CMIO, CIO, CMO, legal contracting, security reviews, and an AI governance review actually involve.
Can work cross functionally with technical and clinical stakeholders, from security and integration teams to CMIOs and department leaders.
Have a track record of building net-new pipelines rather than inheriting accounts.
Think from first principles, are low-ego and rigorous, and are comfortable owning ambiguous problems in a fast-moving environment.
Strong candidates may also have
Experience at a healthcare AI company during its health system expansion.
Experience at a high-growth startup, including scaling a sales or partnerships organization through rapid growth.
Deep clinical informatics fluency; understanding OpenEvidence's product capabilities deeply.
This role is remote (US) with travel to partner sites as needed. This is a quota-carrying role; compensation includes base, variable, and equity.
OpenEvidence is the most widely used medical AI platform in the world.
In just over a year, our usage has grown to >65% of US clinicians via product-led word of mouth adoption. We are a $12B company with a 30 person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are growing our team to seize a once-in-a-lifetime opportunity to define the default platform for medical AI. If you are a world-class engineer, looking to define the bleeding edge and deliver concrete outcomes that impact hundreds of millions of lives, we want to talk.
Culture
We believe work is something that should be engaged with at a world-class level. Building 0->1 and scaling 1->1000 are professional sports, and uncompromising excellence is the bar. We believe building technologies that haven't existed is only possible with end to end ownership. We don't have product managers–every engineer is responsible for landing major improvements to the product. Important things are accomplished when an individual decides to accomplish them.
Who are you?
The ideal candidate is a brilliant builder. They are smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, and low-ego. Does that sound rare? It is rare, we have only found 30 of them, and we would like to find more.
The role
You will help design the future of OpenEvidence inside clinical workflows. As the technical and product lead for our health system partners, you will shape what OpenEvidence looks like when it is built into the places clinicians already work, and decide what we build next to get there. When clinicians or partners need something that does not exist yet, you will define it, build it, and see it through to launch.
Some days you will write or review code. Other days you will prototype a new clinical workflow, set the technical direction for a launch, shape the product roadmap based on what you learn from clinicians and partners, or present your plans to health system IT, security, and clinical leaders.
What you'll do
Lead how OpenEvidence is designed, built, and launched inside health systems, from product ideation through ongoing support.
Make product and architectural decisions, often in ambiguous situations.
Build enterprise product capabilities, and turn recurring needs into scalable tools and processes.
Uphold the high standards for security, privacy, and reliability that our health system partners expect.
Work across engineering, product, sales, support, legal, and partners to get it done.
What we're looking for
3+ years of professional engineering experience; 5+ years preferred.
A strong engineer with excellent product judgment - in particular around risk, reliability, and production changes.
The ability to understand complex systems and quickly find the real source of a problem.
Strong written and verbal communication skills, covering both sophisticated enterprise audiences and non-technical clinical leaders.
Preferred: Experience with health systems, EHR integrations, clinical AI benchmarketing, agentic workflows, and enterprise SaaS implementations.
Preferred Location: In-person San Francisco, Miami or remote for stellar candidates who are willing to travel often to meet with the team.