Benefits:

• Competitive compensation, including equity

• Flexible working hours

• Comprehensive benefits package

Education Requirements:

• Recently completed a Bachelor’s degree in a technical field

Experience Requirements:

• Previous marketing social media experience

• Proven track record of growing followership

Other Requirements:

• Deeply technical background

• Immersed in the developer ecosystem

• Ability to build cool demos that leverage our technology

• Proven experience building a social media followership in a developer-centric field, preferably in AI

• Some experience in social media

• Strong familiarity with social media platforms, especially Discord and Reddit

• Passion for Technology

• Iterating Machine

Responsibilities:

• Community Engagement and Growth

• Market Sentiment Monitoring

• AI Agent Creation

• Content Creation

• Stay on the Pulse of Culture

Benefits:

• Competitive compensation

• Flexible working hours

• Comprehensive benefits including health, dental, vision, flexible PTO, and holidays

Experience Requirements:

• Proven experience building and scaling sales teams, preferably in a SaaS or AI-related environment

• Demonstrated success in developing and leading outbound sales strategies

• Strong understanding of inbound sales processes, prioritization, and optimization

Other Requirements:

• Hands-on leader with extensive experience in sales and sales management, particularly in startups

• High agency, proactive in taking initiative, understanding of how large companies buy, extensive knowledge of different sales methodologies

• Experience with cloud players and ecosystems like AWS, Salesforce, Twilio, and others

• Experience with commercial partnerships

• Exceptional leadership, communication, and team-building skills

• Data-driven approach with a proven ability to analyze metrics and refine strategies accordingly

• Ability to thrive in a fast-paced, high-growth startup environment

Responsibilities:

• Shape our sales strategy and marketing positioning

• Build, lead, and mentor a dynamic sales team focusing on high performance and growth

• Develop and implement an outbound sales strategy to drive new customer acquisition

• Refine inbound sales processes, ensuring efficient lead prioritization and follow-up

• Be a player-coach, stepping in to qualify and close high-priority deals

Benefits:

• Unlimited PTO

• Free lunch at the office

• Medical

• Dental

• Vision

Education Requirements:

• Masters in Computer Sciences preferred

Experience Requirements:

• 4-6 years of professional experience

Other Requirements:

• Self motivated, hard working and proactive

• High levels of operational process and task execution competence with organized and hands-on approach

• Detail oriented

Responsibilities:

• Integration of user-facing elements developed by a front-end developers with server side logic

• Build robust and scalable software in Ruby, Scala, and/or Java

• Design and create services and system architecture for your projects, and contribute and provide feedback to other team members

• Help improve our code quality through writing unit tests, automation and performing code reviews

• Building reusable code and libraries for future use

Benefits:

• Equity

Education Requirements:

• Bachelor's degree from a leading academic institution

Experience Requirements:

• 3+ years of experience in building scalable ML infrastructure from the ground up

Other Requirements:

• Familiar with Kubernetes and Python

• Familiar with Apache Kafka and Spark

Responsibilities:

• Building scalable ML infrastructure

• Managing and growing engineering team

Benefits:

• Equity

Education Requirements:

• Bachelor's degree

Experience Requirements:

• Experienced in flutter

• Adheres strictly to test-driven-development principles

Other Requirements:

• Familiar with Flutter and Python

Responsibilities:

• Implementing CHAI Web App

• Developing features for retention and monetization

Benefits:

• Equity

Education Requirements:

• Bachelor's degree from a leading academic institution

Experience Requirements:

• 6+ years of experience in backend engineering

Other Requirements:

• Familiar with Kubernetes and Python

Responsibilities:

• Building scalable infrastructure

• Managing and growing engineering team

Benefits:

• Equity

Experience Requirements:

• Track record of making money

Other Requirements:

• Goal-oriented

• Comfortable learning on the job

Responsibilities:

• Running, optimizing, and improving revenue generation strategy

Benefits:

• Equity

Experience Requirements:

• Established track-record of delivering results

• Deep understanding of the ML development cycle

Other Requirements:

• Proficient in Python, Tensorflow or PyTorch

• Goal-oriented

Responsibilities:

• Running, optimizing, and improving AI platform

• Improving platform-wide retention

Benefits:

• Equity

Experience Requirements:

• Experienced in scaling small teams

Other Requirements:

• Highly goal-oriented

• Comfortable working in a fast-paced environment

• Self-reflective

Responsibilities:

• Reporting to CEO

• Solving operational problems

• Running hiring processes

Benefits:

• Equity

Experience Requirements:

• Experienced in hiring great engineers

Other Requirements:

• Highly goal-oriented

• Comfortable working in a fast-paced environment

• Self-reflective

Responsibilities:

• Sourcing candidates

• Running hiring processes

Benefits:

• 100% covered premium health + dental insurance

• company offsite trips

• work-from-home stipend

• 401k

Education Requirements:

• Masters in ML (or equivalent domain experience)

Experience Requirements:

• Extensive experience building complex machine learning systems and have driven execution from ideation to production implementation

• Strong product sense

Other Requirements:

• You can take a high-level goal and achieve a shippable solution. You are able to draw from a toolkit of methods, and know when to prompt engineer with black box LLMs and when to finetune a custom model

• A Masters in ML (or equivalent domain experience) and 4+ years of work experience building ML systems directly powering customer experiences, or equivalent ML experience

Responsibilities:

• Tackle our hardest ML product challenges at the crux of unlocking truly agentic flows in recruiting, from prototyping and experimentation with LLMs and self-hosted models alike to incorporating and maintaining them in existing and new ML systems.

• Help shape our technical MLOps stack to meet our ML and product needs.

• Write production ready code with speed, cost, and usability in mind.

• Stay close to the ground and hands on keyboard. No task is too small, whether it’s fixing unit tests or curating datasets.

Experience Requirements:

• Experience with finetuning large language models

• 2+ years of experience working directly with large language models

• Deep knowledge of machine learning frameworks such as Pytorch and Deepspeed.

• Strong background in programming languages such as Python and C++

• Entrepreneurial spirit and willingness to adjust to dynamic customer needs

Other Requirements:

• Desire to grow quickly by going above and beyond expectations

Responsibilities:

• Design and run experiments on how to best finetune our in-house LLM models.

• Deploy these custom models end-to-end alongside our ML engineering team.

• Build new MLOps tools from 0 > 1 inside our existing platforms.

• Work closely with leadership and customers to understand large-scale recruiting and HR pain points, and develop state-of-art machine learning solutions for them.

• Write production ready code with speed, cost, and usability in mind

Benefits:

• Robust medical plan offerings with 0 to limited paycheck deductions

• Dental and vision insurance

• Unlimited Paid Time Off

• Paternal Leave

• 401K Match

Education Requirements:

• BSc or MSc in Aerospace Engineering, Mechanical Engineering or equivalent

Experience Requirements:

• At least 5 years of professional experience in space systems engineering, as a Program Lead Systems Engineer

Other Requirements:

• Familiarity with a wide range of latest engineering technologies

• Experience in broad optical-mechanical design including some experience with spaceflight hardware and Cubesat

• Advanced knowledge of instrument alignment methodology and developing alignment fixturing & tooling

• Experience in articulating technical problems and formulating alternative solutions to engineering problems

• Practical hands-on laboratory experience using and working with optical tools and systems

• Advanced knowledge of design and testing for complex new systems that integrate into larger systems

• Experience in working as an effective member of a team of scientists and engineers

• Demonstrated experience in writing scientific instrumentation proposals, and in successfully publishing engineering results

• Proven ability to communicate effectively with Principal Investigators, scientific staff and fellow engineers

• Experience in anticipating and defining long-term impacts of design decisions

• Proficiency in SolidWorks

• Experience in thermal analysis

• Ability and willingness to travel for project deployments, as necessary

• Excellent verbal and written/online communication skills

• Demonstrated ability to manage and organize your work to meet deadlines

• Self-driven, passionate, and constantly pursuing knowledge and excellence

• Nothing-is-impossible attitude

Responsibilities:

• Perform lead systems engineering functions in the conception, design, and development of spaceborne systems

• Support the development, launch, commissioning, and operations of a CubeSat Program in Low Earth Orbit

• Collaboratively synthesize top level system design concepts and architectures

• Perform trade studies and optimize designs

• Perform life cycle engineering studies and analysis

Benefits:

• Diverse medical, dental and vision options

• 401k matching program

• Unlimited paid time off

• Parental leave and flexibility for all parents and caregivers

• Support of country-specific visa needs for international employees living in the Bay Area

Experience Requirements:

• Experience building and deploying scalable machine learning models, particularly large language models (LLMs)

• Skilled in using and integrating ML frameworks and infrastructure into existing platforms, with a strong focus on PyTorch

• Developing applications and tools that leverage ML models to provide enhanced functionality in enterprise settings

• Proficiency in programming languages and tools such as Python, PyTorch, and FastAPI

• Familiar with backend systems, APIs, and databases

Responsibilities:

• Develop, deploy, and optimize ML models

• Ensure seamless integration with backend systems and APIs to deliver robust enterprise solutions

Benefits:

• Diverse medical, dental and vision options

• 401k matching program

• Unlimited paid time off

• Parental leave and flexibility for all parents and caregivers

• Support of country-specific visa needs for international employees living in the Bay Area

Experience Requirements:

• Diverse experiences building APIs and infrastructure for enterprise platforms

• Comfortable working in a fast-paced environment and refining high-level technical requirements into detailed specifications

• Experience with standard ML frameworks and infrastructure

• Experience using, deploying, and scaling LLMs

Responsibilities:

• Build and operate important components that power the platform

• Use a mix of systems, infrastructure, API, and data engineering

Benefits:

• Diverse medical, dental and vision options

• 401k matching program

• Unlimited paid time off

• Parental leave and flexibility for all parents and caregivers

• Support of country-specific visa needs for international employees living in the Bay Area

Experience Requirements:

• Worked on finetuning and evaluating LLMs

• Comfortable working in a fast-paced environment and working with fast moving/evolving technical requirements

• Comfortable operating on large compute clusters via tools like Slurm

• Strong understanding of modern machine learning techniques (transformer architectures, RLHF, DPO, etc.) and proficient with PyTorch

Other Requirements:

• Knowledge of SQL and data tooling like Snowflake, Dagster, and Airbyte (a bonus)

Responsibilities:

• Collect and curate datasets

• Experiment with novel finetuning techniques

• Evaluate the resulting models to ensure they meet our standards for safety, helpfulness, and reliability in enterprise settings

Benefits:

• Diverse medical, dental and vision options

• 401k matching program

• Unlimited paid time off

• Parental leave and flexibility for all parents and caregivers

• Support of country-specific visa needs for international employees living in the Bay Area

Experience Requirements:

• Experience in training large-scale language models from scratch or on extensive datasets

• Skilled in managing and utilizing large compute resources efficiently for training purposes

• Strong background in modern deep learning techniques and architectures, especially transformer models, and proficient with PyTorch

• Familiar with distributed training frameworks and tools such as Horovod or DeepSpeed

Responsibilities:

• Develop large-scale training datasets

• Optimize training processes

• Innovate on model architectures to push the boundaries of what our models can achieve in enterprise environments

Benefits:

• Competitive Compensation and Equity

• Hybrid workplace

• 401k plans with a matching program

• Medical, Dental and Vision coverage

• Life and AD+D Insurance

Education Requirements:

• Bachelor’s degree or extensive experience

Experience Requirements:

• 5+ years of experience in customer success in SAAS or similar product

• Previous Experience with renewals

• Experience in Management Consulting

Other Requirements:

• Excellent communication and interpersonal skills

• Excitement to learn about artificial intelligence, insurance, dentistry, and technology

• Strong work ethic and hustle to achieve results in a high-growth startup environment

• Experience in insurance, dental/healthcare, startups, or B2B software is a plus but not required

Responsibilities:

• Managing Enterprise accounts

• Execute the customer success strategy

• Achieve individual metrics and KPIs

• Assist in improving processes

• Plan account expansion initiatives and targeted campaigns for accounts with lower usage