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Software Engineer – Foundational Data Systems for AI
Halve storage costs and accelerate query performance on petabyte-scale data lakes with self-optimizing, lossless AI compression for Spark, Snowflake, and Iceberg.
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
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Staff Software Engineer – Foundational Data Systems for AI
Halve storage costs and accelerate query performance on petabyte-scale data lakes with self-optimizing, lossless AI compression for Spark, Snowflake, and Iceberg.
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
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Full-Stack Product Engineer
Automate complex document workflows and build production-ready AI agents with advanced OCR, indexing, and structured extraction for enterprise-scale data.
Benefits:
Offers Equity
Other Requirements:
Able to commute to SF near 5th and Folsom Street
US work authorization status
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Generalist Opening
Help your child become a confident reader with an AI coach that listens, corrects, and motivates. Tailored for K-3, it uses decodable books to build literacy.
Other Requirements:
Legally authorized to work in the U.S.
Open to relocating to San Francisco
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AI Outcomes Manager
Empower employees with an AI assistant that finds answers, summarizes documents, and automates workflows across all company data and 100+ native app integrations.
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
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Senior Full-Stack/Product Engineer in SF
Accelerate software development in JetBrains IDEs with AI-powered autocomplete and agents that index your entire codebase for context-aware code suggestions.
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
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Software Engineer - Deepgram for Restaurants
Accelerate software development in JetBrains IDEs with AI-powered autocomplete and agents that index your entire codebase for context-aware code suggestions.
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
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LLM Engineer
Accelerate software development in JetBrains IDEs with AI-powered autocomplete and agents that index your entire codebase for context-aware code suggestions.
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
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Software Engineer
Accelerate software development in JetBrains IDEs with AI-powered autocomplete and agents that index your entire codebase for context-aware code suggestions.
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
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AI Performance Optimization Team Lead
Build and deploy models at scale with a collaborative cloud platform offering persistent GPU workspaces, zero-setup environments, and multi-cloud GPU access.
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
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Backend Engineer
Build and deploy models at scale with a collaborative cloud platform offering persistent GPU workspaces, zero-setup environments, and multi-cloud GPU access.
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
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Fullstack Engineer
Build and deploy models at scale with a collaborative cloud platform offering persistent GPU workspaces, zero-setup environments, and multi-cloud GPU access.
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
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Enterprise Account Executive - North Bay
Protect your brand and people from social engineering attacks with an AI-native platform that unifies threat intelligence, automates takedowns, and trains teams.
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
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Software Engineer - SRE/DevOps
Reduce preventable workplace injuries and lower operational costs by using video-based AI to identify real-time risks like PPE non-compliance and ergonomic issues.
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Software Engineer - Perception
Reduce preventable workplace injuries and lower operational costs by using video-based AI to identify real-time risks like PPE non-compliance and ergonomic issues.
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Staff Technical Program Manager
Reduce preventable workplace injuries and lower operational costs by using video-based AI to identify real-time risks like PPE non-compliance and ergonomic issues.
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Software Engineer - Applications (L3/L4)
Reduce preventable workplace injuries and lower operational costs by using video-based AI to identify real-time risks like PPE non-compliance and ergonomic issues.
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Software Engineer - Platform
Reduce preventable workplace injuries and lower operational costs by using video-based AI to identify real-time risks like PPE non-compliance and ergonomic issues.
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Data Engineer
Transform clinical conversations into structured, billable medical notes in real time to reduce clinician burnout and improve patient care with enterprise AI.
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
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Engineering Manager, SRE
Transform clinical conversations into structured, billable medical notes in real time to reduce clinician burnout and improve patient care with enterprise AI.
Benefits:
14 paid holidays
Flexible PTO
Medical, Dental, and Vision coverage
Monthly HSA contributions
Paid Parental Leave
Experience Requirements:
3 - 6+ years as a manager in rapidly growing organizations
At least 1 year as a manager of managers
Track record of leading performance engineering (load test and chaos engineering)
Experience running production workloads in more than one cloud provider
Experience managing workloads across containerized solutions and Kubernetes
Responsibilities:
Scope, resource, and execute a company-wide reliability and engineering velocity roadmap
Work at the level of small tiger teams to unblock and drive execution
Recruit top ICs and managers to scale the team
Mentor senior engineering staff and develop their careers
Establish and maintain a hivemind, de-siloed culture across pods
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