Benefits:

• Healthcare

• Dental

• Vision

• Equity

Experience Requirements:

• 3+ years of experience in technical customer support or a similar role

Other Requirements:

• Strong troubleshooting skills

• Excellent communication skills

• Familiarity with SaaS platforms, APIs, or developer tools

• Proficiency in using support ticketing systems

• Self-starter with a strong sense of accountability

• Positive and empathetic approach to customer interactions

Responsibilities:

• Serve as the primary point of contact for customers and developers

• Diagnose and resolve technical issues

• Collaborate with internal teams

• Maintain accurate and detailed documentation

• Develop and update support resources

Benefits:

• Healthcare

• Dental

• Vision

• Equity

Experience Requirements:

• 3+ years in a technical customer-facing role (e.g., Solutions Engineer, Implementation Consultant) or have PM experience in a tech environment

Other Requirements:

• Strategic Problem-Solving

• Outstanding Communication

• Relentless Ownership

• Curiosity for AI & Voice

• Startup DNA

Responsibilities:

• Drive a 14-Day Launch

• Own the Product Vision (Per Deployment)

• Architect Technical Integrations

• Shape Conversational Experiences

• Iterate, Adapt, and Communicate

Benefits:

• Healthcare

• dental

• vision

• Equity

Responsibilities:

• remake our application portal experience from the ground up

• talk to users, heavily use our product yourself, and then build intuitive designs from start to finish

• work closely with our engineering team, and both co-founders, taking their feedback and making fast iterations

Benefits:

• Healthcare

• dental

• vision

• Equity

Experience Requirements:

• 3+ years of work experience in marketing, ads, growth, or a similar position

• Experience working with B2B SaaS companies

• 1+ years at a tech company driving marketing projects

Other Requirements:

• obsessed with finding new ways to reach our ICP

• pay attention to small details and enjoy collaborating cross-functionally on a small team

• creative and organized

Responsibilities:

• Run AD campaigns on Linkedin, Google, and Socials

• Lead large projects for new product offerings and announcements

• Make sure our sales team has a healthy pipeline

• Ensure our marketing motion is running as efficiently as possible

• Spend time with sales and revenue teams to figure out what we should target

Experience Requirements:

• Experience using LLMs to solve real world problems

• Proficiency in python, numpy, pytorch

• Attention to detail, willingness to debug data quality issues and solve learning problems end to end

• At least 1 year of work experience

Other Requirements:

• Preferred: 3+ years experience training and fine tuning ML models in production

• Preferred: Product ML experience building recommender systems

• Preferred: Additional proficiency in Typescript, Rust, C++

Responsibilities:

• Fine tune embeddings and LLMs for better search, RAG, and question answering

• Prompt engineer RAG and other systems for question answering, data mining, and other tasks

• Collect analytics and mine them for product insights

• Build search and recommender systems to automatically improve the product over time

• Build real time LLM experiences using optimizations and tricks to provide results to users faster than they are used to

Experience Requirements:

• Experience with React, Typescript, and Python

• Familiarity with LLMs

• Ability to use tailwind and CSS to create new frontend components

• Willingness to manage and build backend infrastructure for databases

• At least 1 year of work experience

Other Requirements:

• Preferred: Familiarity with GCP

• Preferred: Experience prompting

• Preferred: Additional languages like Lua, Rust, Haskell

Responsibilities:

• Design and implement systems to manage user data for LLM context and retrieval

• Build UI components and end to end UX for LLM based products

• Design systems using databases, web services, and UI components to solve interesting product problems

• Collect analytics, monitoring, and tracing to debug production issues and understand usage and users

• Build search and recommender systems to automatically improve the product over time

Benefits:

• Flexible/Unlimited PTO

• Equity

• Medical insurance

• Dental & Vision insurance

• Flexible Spending (FSA) & Health Savings (HSA) Accounts

Experience Requirements:

• 5+ years of experience in Data Engineering or Backend Engineering with a focus on data systems

• Proficient in at least one general purpose programming language (e.g., Python, Java, Scala) and SQL (any variant)

• Proficiency with at least one modern cloud provider (GCP, AWS, Azure) and accompanying data services

• Experience in building systems that manage the ingest, transformation, and management of both structured and unstructured data types

• Deep knowledge of modern data infrastructure best practices

Other Requirements:

• Must be willing to work from our SF office at least 3x per week

• Must be willing to travel up to 10%

Responsibilities:

• Build and maintain scalable data services, pipelines and storage solutions for the feedback of unstructured application data for ML training and evaluation purposes

• Build and manage OLAP databases, ELTs and general data tooling for analytics , business decisions and products features

• Work closely with a team of frontend and backend engineers, product managers, and analysts

• Optimize data infrastructure to enhance the throughput, latency and reliability of the data system

• Investigate and correct issues identified through data operations monitors, tools, and reports

Benefits:

• Flexible/Unlimited PTO

• Equity

• Medical insurance

• Dental & Vision insurance

• Flexible Spending (FSA) & Health Savings (HSA) Accounts

Experience Requirements:

• 5+ years of platform/devops experience in a cloud-native software company

• Familiar with the care+feeding of Kubernetes clusters, including creating and maintaining helm charts for application deployments

• Experienced in creating and maintaining CI/CD pipelines for both Infrastructure as code deployments as well as application code deployments

• Comfortable implementing and securing services in Google Cloud Platform as Infrastructure as code

• Experienced with backend scripting languages (e.g. Python, GoLang, Javascript, Rust, Bash.)

Other Requirements:

• Must be willing to work from our SF or NY office at least 3x per week

• Must be willing to travel up to 10%

Responsibilities:

• Partner with application engineers to build and deploy reliable, performant, and secure infrastructure for our mobile + web-based applications

• Collaborate with engineers + customers to create secure integrations between Abridge and healthcare systems

• Enable application teams to practice “you build it, you run it” by providing tools + process for monitoring performance, availability, and reliability

• Identify opportunities to improve engineering velocity, and lead efforts to make those improvements through tooling and process

• Manage CI/CD pipelines and the other major parts of our cloud-based development infrastructure

Benefits:

• Flexible/Unlimited PTO

• Equity

• Medical insurance

• Dental & Vision insurance

• Flexible Spending (FSA) & Health Savings (HSA) Accounts

Experience Requirements:

• 5+ years of experience building and scaling distributed systems using modern technologies like TypeScript, Python, React, and Node.js

• Hands-on experience integrating and working with Large Language Models (LLMs) and APIs, with familiarity in fine-tuning and prompt engineering

• Proficiency in working with cloud services (AWS, GCP), infrastructure as code (Terraform), and containerization (Docker, Kubernetes)

• Proven experience leading engineering teams or owning major software components from development to production

• A background in optimizing and scaling inference systems for LLMs or similar AI-based systems is highly desirable

Other Requirements:

• Must be willing to work from our SF office at least 3x per week

• Must be willing to travel up to 10%

Responsibilities:

• Design, build, and maintain highly scalable, cloud-based services using TypeScript, Python, and React

• Create tooling to support the ML model lifecycle including model evaluations, dataset curation and training infrastructure

• Build scalable infrastructure for LLM model orchestration powered by an intuitive and easy to use user experience

• Make architecture and technology decisions that align with business needs, balancing innovation with security and reliability

• Enhance our platform’s performance and scalability, with a focus on creating seamless user experiences

Benefits:

• Flexible/Unlimited PTO

• Equity

• Medical insurance

• Dental & Vision insurance

• Flexible Spending (FSA) & Health Savings (HSA) Accounts

Experience Requirements:

• 5+ years of experience building, shipping, and operating cloud-based distributed systems at scale

• Experience as a lead engineer on a number of major components or subsystems of a software platform, or have been the lead for the platform itself

• Confidence knowing your way around event pipelines and experience with tools such as Kinesis or Kafka

• Several years of experience building software for a regulated environment, and understand the tradeoffs that can be required to ensure compliance with regulations and frameworks such as HIPAA, SOC 2, and HITRUST

• Willingness to pitch in wherever needed

Other Requirements:

• Must be willing to work from our SF or NY office at least 3x per week

• Must be willing to travel up to 10%

Responsibilities:

• Design, build, and support the robust cloud-based services we need for our rapidly-growing business

• Make and implement technology decisions that support business needs without compromising security, privacy, or quality

• Research commercial and open-source solutions, and make build vs buy recommendations to bring new capabilities into the technology organization

• Enhance existing systems to add new functionality, and to improve performance, stability, quality, and security

• Advocate for high standards; make quality-of-life improvements to the codebase; and help limit the growth of technical debt

Benefits:

• Flexible/Unlimited PTO

• Equity

• Medical insurance

• Dental & Vision insurance

• Flexible Spending (FSA) & Health Savings (HSA) Accounts

Experience Requirements:

• 5+ years of experience in ML model deployment and scaling, with a focus on production-quality software

• Strong proficiency in Python and Kubernetes, with experience building scalable ML infrastructure

• Expertise in designing fault-tolerant, highly available systems

• Experience working with cloud environments, Infrastructure as Code (IaC), and managing deployments using Kubernetes

• Proficiency in optimizing system performance, debugging production issues, and designing systems for scalability and security

Other Requirements:

• Must be willing to work from our SF office at least 3x per week

• Must be willing to travel up to 10%

Responsibilities:

• Architect, design, and implement ML software systems for deploying and managing models at scale

• Stand up ML models for inference, starting with critical models like the 'linkages' model, and ensure they are capable of handling traffic increases

• Develop and maintain infrastructure that supports efficient ML operations, including model evaluations, deployments, and training at scale

• Collaborate closely with ML researchers, engineers, and cross-functional teams to ensure seamless integration of models with services like Zoom and Athena

• Work with stakeholders across machine learning and operations teams to iterate on systems design and implementation

Benefits:

• Flexible/Unlimited PTO

• Equity

• Medical insurance

• Dental & Vision insurance

• Flexible Spending (FSA) & Health Savings (HSA) Accounts

Experience Requirements:

• 5+ years of product management experience with technical focus and demonstrated contributions to infrastructure, platform development, or API integrations

• Experience working closely with engineering teams to define, develop, and scale technical assets, ideally within SaaS technology environments

• Familiarity with authentication protocols (e.g., OAuth, SAML), data management, and security best practices

• Expertise in API design and integration strategies, particularly for aligning technology with healthcare standards

Other Requirements:

• Must be willing to work from our SF office at least 3x per week

• Must be willing to travel up to 10%

Responsibilities:

• Define and lead Abridge’s platform product vision

• Collaborate with engineering to develop and refine secure, scalable APIs, prioritizing compatibility with healthcare systems like Epic EHR

• Create and maintain a secure, compliant user identity and data management repository

• Develop infrastructure supporting user account creation, authentication, and data integrity at the foundational stack level

• Act as a liaison between technical and product teams to integrate foundational components seamlessly into user-facing products

Benefits:

• Flexible/Unlimited PTO

• Equity

• Medical insurance

• Dental & Vision insurance

• Flexible Spending (FSA) & Health Savings (HSA) Accounts

Experience Requirements:

• 5+ years of experience conducting user research to support digital product development, preferably in healthcare or a similarly complex domain

• Strong background in user research methodologies, from ethnographic studies to usability testing

• Excellent written & visual communication skills to turn research findings and their implications into compelling narratives and recommendations

• Tolerance for ambiguity and a love for collaborative exploration

• Passion for improving the healthcare experience for both patients and providers

Other Requirements:

• Must be willing to work from our SF office at least 3x per week

• Must be willing to travel up to 10%

Responsibilities:

• Conduct in-depth user interviews, on-site shadowing, and usability testing sessions to understand how doctors and other clinicians currently use Abridge, as well as their unmet needs and aspirations

• Synthesize your findings into actionable recommendations that guide the product vision and roadmap

• Collaborate with our client success team to monitor new product features and iterations, using a mix of qualitative and quantitative methods

• Explore insights, analytics & other output from our data science and machine learning researchers to validate your hypotheses and support your storytelling

• Partner with product management & design to translate findings into flows, wireframes, and prototypes that can be validated with end users

Benefits:

• Competitive salary

• Equity

• Remote work option

Experience Requirements:

• 3+ years of experience

Responsibilities:

• Develop and maintain backend infrastructure

• Build and improve AI models

• Work with frontend engineers to integrate AI features

Benefits:

• Competitive salary

• Equity

• Remote work option

Experience Requirements:

• 3+ years of experience

Responsibilities:

• Develop and maintain frontend infrastructure

• Work with backend engineers to integrate AI features

• Improve user experience

Benefits:

• Generous medical/dental/vision coverage

• Unlimited PTO

• Free lunches at SF office

• Fully supported remote work

• Office in San Francisco

Benefits:

• Generous medical/dental/vision coverage

• Unlimited PTO

• Free lunches at SF office

• Fully supported remote work

• Office in San Francisco

Benefits:

• Generous medical/dental/vision coverage

• Unlimited PTO

• Free lunches at SF office

• Fully supported remote work

• Office in San Francisco

Benefits:

• Generous medical/dental/vision coverage

• Unlimited PTO

• Free lunches at SF office

• Fully supported remote work

• Office in San Francisco

Benefits:

• Generous medical/dental/vision coverage

• Unlimited PTO

• Free lunches at SF office

• Fully supported remote work

• Office in San Francisco