Benefits:

• Comprehensive health, dental and vision coverage

• retirement benefits

• daily catered lunch

• unlimited PTO

Experience Requirements:

• 2-5 years of experience in insurance-related roles

• Excellent relationship management skills with senior-level stakeholders

• Strong ownership mindset

• Distinctive analytical and problem solving capabilities

• Innate bias towards action and impact, while working in a nimble and fast-paced environment

Responsibilities:

• Customer-centricity

• Relationship orientation

• Structured approach

• Define roadmap

• Grow our team

Benefits:

• Comprehensive health, dental and vision coverage

• retirement benefits

• daily catered lunch

• unlimited PTO

Education Requirements:

• Juris Doctor (JD) degree from an accredited law school

Experience Requirements:

• Minimum of 3 years of professional experience in a legal setting

• Strong grasp on AI and the different applications of AI in the legal space

• Excellent relationship management skills

• Strong ownership mindset

• Excitement to own problems and white space: from blue sky ideation to driving in-the-weeds success with individual users Innate bias towards action and impact, while working in a nimble and fast-paced environment

Responsibilities:

• Customer-centricity

• Relationship orientation

• Structured approach

• Define roadmap

• Grow our team

Benefits:

• Comprehensive health, dental and vision coverage

• retirement benefits

• daily catered lunch

• unlimited PTO

Experience Requirements:

• 2-5 years of experience in front-office roles: real estate acquisitions, development, or asset management

• Excellent relationship management skills with senior-level stakeholders

• Strong ownership mindset

• Distinctive analytical and problem solving capabilities

• Innate bias towards action and impact, while working in a nimble and fast-paced environment

Responsibilities:

• Customer-centricity

• Relationship orientation

• Structured approach

• Define roadmap

• Grow our team

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:

• 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

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

Experience Requirements:

• scrappy

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:

• 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

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:

• 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:

• 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