Benefits:

• Health, Dental & Vision Plans

• Competitive Pay

• 401k Matching

• Unlimited PTO

• Lunch daily _(in-office only)_

Experience Requirements:

• 5+ years of professional experience working with some combination of Node/TypeScript, React, GraphQL, and Postgres

Other Requirements:

• You're both a student and a teacher

• You're not just interested in what you're building, but also why you're building it

• Experience with our stack (TypeScript, React Native, PostgreSQL) is a plus

• You understand observability and enjoy digging into the details to solve performance and user experience issues

Responsibilities:

• Work alongside a team to implement, iterate, and debug product features that drive forward both the company and the user

• Own projects from end to end, making key decisions in the implementation of new features that balance technical concerns with business concerns

• Develop with TypeScript across the stack, building user interfaces using React Native and the backend support required to power them with Node & GraphQL

• Be a steward of good user experience, ensuring that the interfaces we present our users are performant, understandable, and delightful

• Help to maintain our high technical bar, participating in code reviews and design discussions to ensure that we're applying appropriate rigor to our software development process

Benefits:

• Health, Dental & Vision Plans

• Competitive Pay

• 401k Matching

• Unlimited PTO

• Lunch daily _(in-office only)_

Experience Requirements:

• You have a passion for containerized developer platforms (such as ECS or Kubernetes)

• You're familiar with the principles of "Infrastructure as Code"

• You have obtained a cloud architecture certificate (such as AWS Associate or GCP Associate)

Other Requirements:

• You thrive on continuous learning

• You view copy-paste when programming as an anti-pattern

• You shy away from manual work/processes and try to automate things whenever possible

Responsibilities:

• Developing reusable modules via infrastructure-as-code to be consumed across the entire engineering team

• Working with the engineering team to understand pain-points & maintaining the backlog to address issues with the platform

• Maintaining & enhancing our continuous delivery tools to minimize time from development to production, while ensuring our services remain highly-available

• Proactively identifying trends via monitoring & alerting systems, performing root-cause analysis to isolate and resolve issues

• Helping define the roadmap for the future of Cloud Architecture at Rocket Money

Benefits:

• Health, Dental & Vision Plans

• Competitive Pay

• 401k Matching

• Unlimited PTO

• Lunch daily _(in-office only)_

Experience Requirements:

• 3+ years of experience managing data analytics professionals

Other Requirements:

• You have deep expertise in data analytics and a strong understanding of data systems and processes

• You are rabidly focused on making sure that analytics tools are accurate, complete, and timely

• You can tailor your management style to suit your employees

• You excel at stakeholder management and can build effective relationships across the organization

• Expert experience in experimentation analytics is a huge plus

Responsibilities:

• Lead and manage a team of 7-10 embedded data analytics professionals

• Drive technical strategy for self-service analytics

• Work with a high level of autonomy and know when to escalate concerns or collect feedback

• Foster strong working relationships with other leaders at the company

• Working with the rest of the data team, implement data governance strategies that better protect our user’s data within our business intelligence tooling

Benefits:

• Health, Dental & Vision Plans

• Competitive Pay

• 401k Matching

• Unlimited PTO

• Lunch daily _(in-office only)_

Experience Requirements:

• 3+ years of professional experience working in a data science or machine learning engineering capacity

Other Requirements:

• You are a team player

• Excellent writing, presentation, and communication skills

• Strong software engineering skills

• Experience in fintech, banking, or finance is a plus

Responsibilities:

• Build new, machine learning powered user-facing features and experiences in deep collaboration with engineering, product, and design teams

• Optimize to continuous product feedback loops

• Help develop the next version of Autopilot and Budgets

• Uncover and exploit relationships between customers’ subscriptions, purchase, and transaction data as you build personalized product experiences and power ever more accurate customer segmentation, propensity, and affiliate targeting models

• Design and conduct experiments to estimate the impact of new ml driven products, customer messaging, and marketing

Benefits:

• Health, Dental & Vision Plans

• Competitive Pay

• 401k Matching

• Unlimited PTO

• Lunch daily _(in-office only)_

Experience Requirements:

• 6+ years of professional experience working in a data science capacity

Other Requirements:

• You are a team player

• Excellent writing, presentation, and communication skills

• Excellent software engineering skills

• Deep experience in several of the following in a professional capacity: customer segmentation and personalization, time series modeling, natural language processing, traditional classification/regression problems, design and implementation of experiments, recommendation systems, building generative AI applications in consumer software

Responsibilities:

• Build new, machine learning powered user-facing features and experiences in deep collaboration with engineering, product, and design teams

• Optimize to continuous product feedback loops

• Help develop the next version of Autopilot and Budgets

• Uncover and exploit relationships between customers’ subscriptions, purchase, and transaction data as you build personalized product experiences and power ever more accurate customer segmentation, propensity, and affiliate targeting models

• Design and conduct experiments to estimate the impact of new products, customer messaging, and marketing

Benefits:

• Health, Dental & Vision

• Competitive Pay

• 401k Matching

• Commuter Benefits

• Life Insurance

Experience Requirements:

• 6+ years of experience in the analytics space

• Experience at B2C technology companies - particularly around user onboarding, user journey flows, and/or monetization analytics

Other Requirements:

• You are comfortable actively defining a strategy and roadmap in partnership with our product, design, and tech leads

• A deep understanding of experimental design and statistics and can leverage that for analysis and assessment of A/B tests

• A strong SQL background

• Expertise in building self-service data visualization tools (e.g., Looker, Tableau, Power BI)

• Excellent communication skills

Responsibilities:

• Lead the relationship between the Data team and the NUX product group

• Be the expert on the new user experience

• Float from thinking about big strategic data questions to getting your hands dirty building out the processes, systems, tools, and analyses that answer those questions

• Translate complex analytical findings into clear and concise reports, dashboards, and presentations for stakeholders at all levels of the organization

• Partner with engineering teams to model and assess the data created by new user experiences

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:

• Unlimited Paid Time Off

• Company Offsites

• Build Your Ultimate Setup

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:

• 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

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

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-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:

• 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 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:

• 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