Benefits:

• Unlimited Paid Time Off

• Company Offsites

• Build Your Ultimate Setup

Benefits:

• Unlimited Paid Time Off

• Company Offsites

• Build Your Ultimate Setup

Education Requirements:

• Bachelor's degree or equivalent in Computer Science or related field

Experience Requirements:

• 2+ years of relevant experience

Other Requirements:

• Passionate about building beautiful products

• Interested in taking lead roles in engineering projects

• Experience building things from the ground up

Responsibilities:

• Frontend and full-stack engineering

Benefits:

• Competitive Comp

• Comprehensive Benefits

• Work-Life Balance

• Team Engagement

• Future Security

Experience Requirements:

• 4+ years experience working in a full stack capacity

Other Requirements:

• Strong experience with modern web technologies

Responsibilities:

• Develop new generative AI tooling for our customers

• Interact regularly with customers in our shared Slack channels, fixing issues and making improvements directly in response to customer requests

• Play an active role in determining our roadmap and strategy for new and existing features

Benefits:

• Competitive compensation

• Medical, Vision and Dental coverage

• Flexible work environment and time-off policy

• 401k

• Company events

Experience Requirements:

• 3 - 7 years in a similar role within an international / B2B SaaS company

• Proven experience in Enterprise Customer Success, including track record of attaining targets

• Proficiency with tooling such as CRM software, Slack, Zendesk, Metabase, Glean

• Excellent communication skills, both written and verbal, with the ability to effectively interact with customers and internal stakeholders

• Familiarity with Value Selling and ability to do deep discovery with customers

Other Requirements:

• Detail-oriented mindset with a focus on continuous improvement and operational excellence

• Live into our company values: Make it Better, Make it Together, Make it Customer Driven

• Ability to travel periodically and be in the office regularly

Responsibilities:

• Relationship Management

• Onboarding and Adoption

• Account Growth and Expansion

• Performance Tracking

Benefits:

• Be a part of a visionary team reshaping the future of sales communication.

• Work with a product at the forefront of AI and machine learning advancements.

• Enjoy a dynamic work environment that encourages creativity and speed

Education Requirements:

• Bachelor’s degree in Human-Computer Interaction, Psychology, Social Science, or a related field

Experience Requirements:

• 2+ years of experience in user research, preferably in a technology or sales environment

Responsibilities:

• Design and conduct user research studies, including surveys, interviews, usability testing, and field observations.

• Collaborate with product managers, designers, and engineers to identify research questions and develop a comprehensive understanding of our user base.

• Analyze and synthesize research findings into actionable insights and recommendations.

• Create personas, journey maps, and user flow diagrams to help the team understand user needs.

• Communicate research findings to stakeholders through reports, presentations, and workshops. Contribute to the development of a user-centered culture within the company. Stay abreast of sales industry trends and incorporate best practices in research methodologies

Benefits:

• Generous Compensation

• High Impact

• Lunch, drinks, snacks, healthcare and dental coverage

Experience Requirements:

• At least 3 years of professional ML or Data Infrastructure experience

• Experience building and deploying LLMs into a production environment

• Experience in prompt engineering

Other Requirements:

• Can identify the most important problems, intuit whether off-the-shelf or in-house solutions are needed, learn the knowledge gaps you are missing for the problem, and stay scrappy to execute the task until it is solved without explicit direction

• Feel comfortable sharing feedback early and often, as well as receive feedback

Responsibilities:

• Innovate on the cutting-edge of AI by conducting research, applying the latest advancements in the generative AI field, and architecting new approaches

• Build and maintain, durable, scalable infrastructure capable of processing Gigabytes/sec particularly related to calls to LLMs and the reliability of the output

• Design and implement novel techniques, tools, and architectures that improve performance, latency, throughput, and efficiency across a multitude of models (OpenAI, Mistral, Llama, Anthropic, etc)

• Have extreme ownership: work alongside the founders to shape product direction, have direct relationships with customers, and help build out our team

Benefits:

• Competitive salary

• Flexible paid time off

Experience Requirements:

• Experience with manifest V3 Chrome extensions

• Familiarity with MongoDB, other NoSQL databases, and ORMs like Mongoose

• Proficiency in SQL and modern data analytics tools

• 2-3 years of experience with React/Next.js and React Native for mobile apps

• Experience with leading LLMs and retrieval augmented generation processes

Other Requirements:

• Thrive in a fast-paced, startup environment

• Deliver exceptional results with minimal guidance

• Quick to learn and adapt to changing requirements

• Available during EST working hours

Responsibilities:

• Building and enhancing online educational tools

• Improving existing features and infrastructure

• Leading new feature development

• Collaborating closely with the team

Experience Requirements:

• scrappy

Responsibilities:

• build out the backbone of our product

• work directly with customers to build out workflows deeply integrated into their day to day operations

• includes ai fine-tuning and data engineering responsibilities

Responsibilities:

• work directly with customers to build out workflows deeply integrated into their day to day operations

• includes ai fine-tuning and data engineering responsibilities

Experience Requirements:

• ex-founder

• venture backed founder or a founder who has grown their own business to $10,000+ in revenue

Education Requirements:

• Associate's degree or higher from an accredited US university

Experience Requirements:

• 5+ years of experience in a direct consumer client support role

• Experience and knowledge working with smartphones

Other Requirements:

• Fluency in both Spanish and English

• Ability to quickly identify problems and resolve issues

• Ability to work in a fast-paced environment

• Experience in a healthcare setting is preferred

• Must be a US Citizen or Permanent Resident

Responsibilities:

• Communicate with patients via phone and text

• Help patients download the app

• Help patients connect medical devices

• Troubleshoot technical issues

• Collaborate with technical teams to troubleshoot issues patients may be experiencing with the MB app or devices

Experience Requirements:

• 5+ years in customer success, technical consulting, solutions engineering or similar roles

Responsibilities:

• developing and executing technical account strategies

• enhancing customer experience and satisfaction

• serving as the primary technical expert on Akkio’s AI data platform

• facilitating seamless transitions from pre-sales to post-sales phases

• identifying and mitigating potential risks related to customer renewals or user churn

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:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Experience Requirements:

• 4+ years of experience supporting the infrastructure within an ML environment

Other Requirements:

• Experience in developing tools used to diagnose ML infrastructure problems and failures

• Experience with cloud platforms (e.g., Compute Engine, Kubernetes, Cloud Storage)

• Experience working with GPUs

Responsibilities:

• Provide infrastructure support to our ML research and product

• Build tooling to diagnose cluster issues and hardware failures

• Monitor deployments, manage experiments, and generally support our research

• Maximize GPU allocation and utilization for both serving and training

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• at least PhD (or equivalent) research experience

Other Requirements:

• Write clear and clean production system code

• Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)

• Track record of exceptional research or creative ML systems projects

• Comfortable writing model development code (PyTorch) for either training or inference

Responsibilities:

• Work on cutting-edge ML training and inference systems

• Optimize the performance and efficiency of our GPU clusters

• Develop new technologies that fine-tune leading consumer AI models

• Serve 20K+ QPS in production with LLMs

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• preferably 2+ years of industry experience

Other Requirements:

• Deep understanding of the “whole stack” when it comes to designing, training, evaluating and deploying machine learning models

• Have a track record of successfully owning projects from start to finish

• Have experience with generative models for various modalities

• Experience working with proven tools

• Experience working with diffusion models

Responsibilities:

• Determining the type of training data we need

• Developing new model architectures

• Creating new evaluations

• Writing fast inference algorithms

• Working with product teams to integrate feedback mechanisms into the product

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• at least PhD (or equivalent) research experience

Other Requirements:

• Write clear and clean production-facing and training code

• Experience working with GPUs (training, serving, debugging)

• Experience with data pipelines and data infrastructure

• Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)

• Track-record of exceptional research or creative applied ML projects

Responsibilities:

• Develop alignment algorithms and loss functions

• Write data pipelines to process diverse web data

• Identify quality signals to understand our model’s performance

• Design sampling algorithms to improve serving efficiency