Benefits:

• Competitive salary

• Meaningful equity

• Substantial bonus for top performers

• Flexible time off

• Comprehensive health coverage

Experience Requirements:

• Depth in distributed systems (consensus, partitioning)

• Experience with columnar formats (Parquet or ORC)

• Understanding of metadata-driven architectures

• Production experience with Spark or Flink

• Proficiency in Java, Rust, Go, or C++

Other Requirements:

• Builder’s mindset

• Curiosity about information theory

Responsibilities:

• Architect transactional and metadata substrates

• Build autonomous data reorganization systems

• Optimize bit-level data organization

• Develop distributed compute pipelines

• Implement new research algorithms

Benefits:

• Competitive salary

• Meaningful equity

• Substantial bonus for top performers

• Flexible time off

• Comprehensive health coverage

Experience Requirements:

• Foundational understanding of distributed systems

• Experience or curiosity with columnar formats

• Familiarity with metadata-driven architectures

• Exposure to Spark or Flink

• Proficiency in Java, Rust, Go, or C++

Other Requirements:

• Builder’s mindset

• Commitment to clean code

Responsibilities:

• Design and implement metadata substrates

• Build components for autonomous data reorganization

• Refine bit-level encodings and layout strategies

• Contribute to distributed compute systems

• Translate algorithms from research to production

Benefits:

• Competitive salary

• Meaningful equity

• Substantial bonus for top performers

• Flexible time off

• Comprehensive health coverage

Experience Requirements:

• Mastery of distributed systems and performance at scale

• Track record of delivering large-scale data systems

• Expertise with columnar formats

• Deep production experience with Spark or Flink

• Fluency in Java, Rust, Go, or C++

Other Requirements:

• Demonstrated leadership and mentoring

• Systems intuition rooted in theory

Responsibilities:

• Define global metadata and transactional substrates

• Architect self-optimizing systems for compression

• Pioneer new approaches to encoding and layout

• Lead development of predictive compute platforms

• Collaborate with Research to translate advancements

Benefits:

• Offers Equity

Other Requirements:

• Able to commute to SF near 5th and Folsom Street

• US work authorization status

Other Requirements:

• Legally authorized to work in the U.S.

• Open to relocating to San Francisco

Benefits:

• Variable compensation

• Equity

• Benefits

Experience Requirements:

• 5+ years of professional experience in roles that blend business and technology

• Experience with modern AI platforms and tools (e.g., OpenAI, Claude, Mistral, Cohere)

• Demonstrated ability to craft effective prompts and guide AI agents

• Consultative, customer-facing approach

• Understanding of current LLMs capabilities and limitations

Other Requirements:

• Willingness to work out of Palo Alto office Monday, Wednesday, Friday

Responsibilities:

• Partner with executive sponsors and end users to identify high‑impact use cases

• Lead strategic reviews and advise customers on their AI roadmap

• Translate business needs into clear problem statements, success metrics, and practical AI solutions

• Conduct discovery workshops, scope pilots, and guide rollouts

• Design and build AI agents with and for customers

Benefits:

• Early member impact

• Competitive salary and equity

• Significant impact on company success

• Rapid career learning

Experience Requirements:

• 3+ years of experience

Other Requirements:

• Ability to work in-person in San Francisco 5 days a week

• US citizen/visa only

• TypeScript/JavaScript full-stack knowledge

• Python experience

Responsibilities:

• Build and deploy applications across frontend and backend

• Implement responsive, dynamic features using Next.js/React

• Integrate Python FastAPI server with ML workflows

• Support AWS infrastructure and CI/CD pipelines

• Gather early user feedback and iterate quickly

Benefits:

• Medical, dental, vision benefits

• Unlimited PTO

• 401(k) plan with company match

• Home office upgrade stipend

• Annual wellness stipend

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Experience Requirements:

• 6+ years of experience

• 4+ years of hands-on experience in backend infrastructure

Other Requirements:

• US citizen/visa only

• AI-first mindset

• Experience with AWS and API design

Responsibilities:

• Design, develop, and maintain scalable backend systems

• Collaborate for seamless integration with ML models

• Monitor and optimize performance in production

• Build and maintain integrations with 3rd party software

• Optimize AI pipeline for challenging audio environments

Benefits:

• Generous compensation package

• Equity

• Employer-sponsored health, dental, and vision insurance

Other Requirements:

• US citizen/visa only

• Anime aesthetic resonance

• Comfortable on small, fast-paced, on-site teams

Responsibilities:

• Wizarding wordsmith of LLM models

• Understand core narrative, themes, and character motivations

• Develop systems for character expression

• Apply latest research results to the game

• Push the boundaries of written and verbal communications

Benefits:

• Healthcare, vision, dental

• Meals

• Gym membership (Dogpatch Boulders)

• Laptop and custom workstation

• Commute costs

Experience Requirements:

• 3+ years of experience

• 5+ years experience in full-time engineering/management roles

Other Requirements:

• US citizen/visa only

• TypeScript, React, Node, GraphQL proficiency

• Hunger for high-focus, high-growth work

Responsibilities:

• Help build automated mortgage brokering

• Qualify more leads by extending AI voice agent

• Boosting close rate with beautiful rate quotes

• Automate loan processing with browser agents

• Helping define Chestnut's culture

Benefits:

• Medical, dental and vision

• Life and AD&D insurance

• Flexible paid time off

• Paid family leave benefits

• $500 monthly meal reimbursement

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field

• Advanced degree (Master’s or PhD) in machine learning, compilers, or systems highly preferred

Experience Requirements:

• Strong expertise with deep learning frameworks (PyTorch, JAX, or TensorFlow)

• Experience profiling models on hardware accelerators

• Experience with model optimization techniques

• Deep understanding of compiler internals

• Experience with CUDA, Triton, or GPU programming models

Other Requirements:

• Knowledge of distributed computing and parallelism strategies

• Familiarity with software engineering practices (APIs, CI/CD)

• Track record contributing to open-source projects

• Strategic leadership for revenue-driving functions

Responsibilities:

• Own technical direction of performance-oriented model optimization efforts

• Advance compiler technology through optimization passes and graph transformations

• Ensure optimizations are accessible via clean APIs and automated tooling

• Design profiling and debugging tools to identify bottlenecks

• Service high impact customer deals as key technical and strategic leader

Benefits:

• Medical, dental and vision

• Life and AD&D insurance

• Flexible paid time off

• Paid family leave benefits

• $500 monthly meal reimbursement

Experience Requirements:

• Extensive experience writing efficient, maintainable code in Go

• Knowledge of backend and frontend systems (APIs, CLI, billing)

• Experience with cloud platforms like AWS, GCP, or Azure

• Familiarity with containerization (Docker, Kubernetes)

• Hands-on experience in a SaaS technology company

Other Requirements:

• Commitment to software quality and test automation

• Ability to operate in high uncertainty and rapidly changing environments

• Experience managing technical debt

Responsibilities:

• Write readable, testable, and efficient code in Go

• Scale the Lightning AI platform (frontend, CLI, API, billing)

• Partner with engineering and product leaders on technical direction

• Evaluate and document technical architecture and tools

• Mentor and coach engineers on system design

Benefits:

• Medical, dental and vision

• Life and AD&D insurance

• Flexible paid time off

• Paid family leave benefits

• $500 monthly meal reimbursement

Experience Requirements:

• Proficiency in React and Go (Golang)

• Strong understanding of software engineering principles

• Experience in a SaaS technology company

• Ability to drive development from end to end

Other Requirements:

• Ability to operate in high uncertainty

• Experience with Python is a plus

Responsibilities:

• Write code in React and either Python or Go

• Develop and scale platform (frontend, CLI, API, billing)

• Set technical direction for large projects

• Reduce technical debt and drive continuous delivery

• Mentor engineers on problem-solving

Benefits:

• Competitive base + uncapped commission

• Meaningful equity

• Remote-first culture + flexible work

• Unlimited PTO

• Health benefits

Experience Requirements:

• 6+ years of experience

• 3+ in enterprise SaaS or security sales

• Proven ability to land and expand large accounts

• Strong consultative sales skills (MEDDPICC or similar)

• Ability to navigate procurement and negotiate enterprise contracts

Other Requirements:

• Must live in the Bay Area of San Francisco

• Authorized to work in the territory

• No visa sponsorship

Responsibilities:

• Drive new business with enterprise accounts

• Run full-cycle sales: prospect, qualify, guide, close

• Lead consultative conversations with senior buyers

• Close six-figure deals while maintaining integrity

• Partner with resellers, Finance, Marketing, and Product

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 5+ years of experience in Data Engineering or Backend Engineering

• Proficient in at least one general purpose programming language (e.g., Python, Java, Scala) and SQL

• Proficiency with at least one modern cloud provider (GCP, AWS, Azure)

• Experience building systems for structured and unstructured data types

• Knowledge of Terraform, Kubernetes, and containerization

Other Requirements:

• Familiarity with deploying ML models at scale a bonus

Responsibilities:

• Build and maintain scalable data services, pipelines and storage solutions

• Build and manage OLAP databases, ELTs and general data tooling

• Optimize data infrastructure for throughput, latency and reliability

• Investigate and correct issues identified through data operations monitors

• Design data integrations and data quality framework