Experience Requirements:

• ex-founder

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

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

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

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

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

Benefits:

• Health & wellness

• Remote work

• Unlimited paid time off

• Equity

• Paid parental leave

Benefits:

• Health & wellness

• Remote work

• Unlimited paid time off

• Equity

• Paid parental leave

Benefits:

• Health & wellness

• Remote work

• Unlimited paid time off

• Equity

• Paid parental leave

Benefits:

• Health & wellness

• Remote work

• Unlimited paid time off

• Equity

• Paid parental leave

Benefits:

• Autonomy and ownership of an early-stage startup!

• Highly competitive compensation and early-stage startup equity

• Medical, Dental, and Vision Insurance

• Comprehensive benefits package, including 401(k)

• Generous vacation policy

Other Requirements:

• Have a strong sense of ownership and a desire to make an impact at an early stage startup

• Be eager to learn and raise their hand to solve hard problems

• Be excited about working on cutting edge AI applications to solve problems for the best companies in the world

• Be excited to meet our customers in person

• Go above and beyond whatever we could write in a job description

Responsibilities:

• Driving positive business outcomes for our customers

• Providing value to our customers that goes above and beyond what is currently possible within the product itself

• Owning a full book of business from onboarding through activation and upsell

• Being an advocate for our customers so that our product+engineering teams continue to build the right products for them

Benefits:

• Autonomy and ownership of an early-stage startup!

• Competitive equity options with a friendly vesting period

• Medical, Dental, and Vision Insurance

• Comprehensive benefits package, including 401(k)

• Generous vacation policy

Experience Requirements:

• 4+ years of experience in B2B software sales

• Ability to understand and sell technical products - not intimidated by machine learning/analytics products

• Experience selling as one of the first sellers and love the challenge to execute independently and creatively in a low sales enablement environment

Responsibilities:

• Develop a deep understanding of Enterpret's customer feedback analytics product and its value proposition

• Build and manage a pipeline of qualified leads and opportunities, including prospecting, qualification, and closing deals

• Work closely with the marketing, product, and customer success teams to develop and execute a comprehensive go-to-market strategy

• Monitor and analyze sales performance metrics to optimize sales processes and strategies

• Contribute to the overall growth and success of the company by providing feedback and recommendations for improvement to the product team

Benefits:

• Ownership

• Competitive Compensation

• Health & Retirement

• Time Off

• Parental Leave

Experience Requirements:

• 4-8 years of sales management experience, with significant time at early-stage startups

• Proven success in scaling a sales org from Series A to Series C or similar growth phases

• Experience in enterprise SaaS sales or comparable B2B solutions

• Strong leadership, analytical, and communication skills

Responsibilities:

• Build and lead a high-performing sales team, driving aggressive growth targets

• Develop and refine scalable sales strategies and playbooks for customer acquisition and expansion

• Own and optimize the entire sales process, from pipeline generation to deal closing

• Align sales with marketing, customer success, and product teams for cohesive execution

• Drive sales forecasting, pipeline management, and performance tracking to ensure predictable growth Explore new markets and refine pricing and packaging strategies

Benefits:

• Ownership

• Competitive Compensation

• Health & Retirement

• Time Off

• Parental Leave

Experience Requirements:

• 7-10 years of experience in People Operations or HR, with deep expertise in talent management, organizational design, employee relations, and performance management

• Proven success in a solutions-oriented, high-growth environment, ideally in startups

Other Requirements:

• Analytical and solutions-focused mindset with the ability to use data to drive decision-making

• Exceptional communication and facilitation skills to inspire and align teams

• Strong ability to coach managers, foster employee engagement, and enhance team performance through feedback and development

• Deep understanding of change management and the nuances of retaining and scaling talent in fast-paced environments

Responsibilities:

• Collaborate with leadership on talent planning, organizational design, retention strategies, and change management

• Use people data to uncover trends, identify risks, and proactively address retention challenges

• Design and execute programs to ensure top talent stays engaged and supported

• Lead efforts to design a culture of transparency, candid feedback, and meritocracy

• Support the 360° performance review process, including manager calibrations, compensation planning, and hosting training sessions and office hours Devise and implement development plans to support employee growth and enhance team performanceProvide coaching and tools to managers to lead through change, manage performance effectively, and boost employee engagementBuild scalable processes for hiring, onboarding, performance reviews, and compensation planningCreate and manage initiatives to enhance diversity, equity, and inclusionProvide targeted support for performance management, ensuring managers are equipped to handle complex challenges

Benefits:

• Autonomy and Ownership

• Competitive Compensation

• Health Coverage

• Retirement Plan

• Time Off

Experience Requirements:

• 7-10 years of demonstrated success in high-ambiguity, fast-paced environments, ideally at a mix of startups and scaled organizations

Other Requirements:

• Proven ability to manage cross-functional initiatives with a bias for execution and results

• Strong analytical mindset with the ability to derive actionable insights from complex data

• Excellent communication and leadership skills to align and inspire diverse teams

• Proficiency in financial modeling, forecasting, and reporting tools

Responsibilities:

• Lead the operational framework for optimizing the entire customer journey, from acquisition to retention and expansion

• Develop and manage data management systems to ensure accuracy, insights, and impactful decision-making

• Align sales, marketing, and customer success teams around cohesive strategies and execution plans

• Drive revenue forecasting, reporting, and insights to support the leadership team in strategic planning

• Lead financial planning, budgeting, and cash-flow management to ensure fiscal responsibility Establish and monitor company-wide KPIs and board-level metrics, delivering insights for continuous improvementIdentify and implement process improvements to increase efficiency and reduce operational bottlenecksCollaborate with the co-founders to design and enforce best-in-class governance and compliance practices

Benefits:

• Autonomy and ownership of an early-stage startup!

• Competitive equity options with a friendly vesting period

• Medical, Dental, and Vision Insurance

• Comprehensive benefits package, including 401(k)

• Generous vacation policy

Experience Requirements:

• 3+ years of experience in a technical sales engineering or pre-sales role, preferably in the SaaS or enterprise software industry

• Comfortable with SQL and basic scripting(can understand API documentation for data uploads / quick POCs)

• Willingness to travel as needed to support customer engagements and sales opportunities

Responsibilities:

• Work closely with the sales team to understand customer requirements and design tailored solutions that meet their specific needs

• Conduct engaging and compelling product demonstrations to prospective customers, highlighting the platform's capabilities and addressing their technical concerns

• Lead PoC projects, working hand-in-hand with prospects to ensure successful implementation and adoption of Enterpret's solution

• Build internal tools to provide leverage: Build automations and internal tooling to help scale the quality and velocity of out sales process execution

• Be Enterpret for Enterpret: Actively gather feedback from prospects and work closely with the product team to identify areas for improvement and new feature requests

Benefits:

• Hybrid or remote work options

• Generous PTO

• Flexible hours

• Subsidized meals

• Career growth