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Software Engineer
Accelerate deal closures and mitigate legal risks with an AI-native contract lifecycle platform featuring automated drafting, smart reviews, and secure e-signatures.
Experience Requirements:
2-4 years
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QA Engineer
Accelerate deal closures and mitigate legal risks with an AI-native contract lifecycle platform featuring automated drafting, smart reviews, and secure e-signatures.
Experience Requirements:
2-4 years
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DevOps Engineer
Accelerate deal closures and mitigate legal risks with an AI-native contract lifecycle platform featuring automated drafting, smart reviews, and secure e-signatures.
Experience Requirements:
3-5 years
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HR Manager
Accelerate deal closures and mitigate legal risks with an AI-native contract lifecycle platform featuring automated drafting, smart reviews, and secure e-signatures.
Experience Requirements:
5-7 years
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Senior Software Engineer - Frontend
Transform complex spreadsheets and databases into actionable insights using plain English. Connect data sources to generate instant charts and automated reports.
Benefits:
Offers Equity
Relocation assistance
Other Requirements:
Currently located in or willing to relocate to the San Francisco Bay Area
Able to work from office 5 days per week
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Director of Platform Operations
Acquire a premium, brandable .ai domain for your SEO startup through a trusted marketplace featuring AI-driven discovery and flexible payment installment plans.
Experience Requirements:
Director of Operations (or similar role) at a company that sells products or software directly to customers online
Other Requirements:
Resume must be in Doc, Docx, or PDF format
Resume file size must be less than 8 MB
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Head of Finance — Strategic Finance & Corporate Development
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:
Experience raising $50M–$100M+ for a high-growth startup
Scaled a company from Series B/C to IPO readiness
Deep expertise in performance-based compensation systems
Hands-on ownership of FP&A, pricing, and forecasting
Strong understanding of SaaS/AI infrastructure economics
Other Requirements:
Ability to operate at founder altitude
Disciplined execution
Responsibilities:
Partner with CEO to lead growth rounds
Own long-range financial model and capital strategy
Build forecasting, scenario modeling, and pricing systems
Translate system-level value into CFO-relevant outcomes
Design company-wide performance-based compensation
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People Operations Manager
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 and meaningful equity
Unlimited PTO + quarterly recharge days
Fully covered premium health, vision, and dental
Lunch & Dinner provided
Team offsites and learning stipends
Experience Requirements:
5–8+ years of People Operations or HR experience
2+ years in a leadership or management role
Knowledge of global employment law and HR systems
Experience managing benefits, compensation, and immigration
Experience in a fast-scaling tech company
Other Requirements:
Ability to work full time out of Mountain View office
Systems-oriented mindset
Player-coach mentality
Responsibilities:
Build and maintain People Ops infrastructure
Lead end-to-end employee lifecycle
Manage performance cycles and OKRs
Design and execute engagement programs
Manage immigration and sponsorship processes
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Engineering Manager – 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:
7+ years of experience in backend or distributed systems
2+ years leading engineering teams
Strong systems design instincts
Experience building data platforms or lakehouse systems
Track record of scaling production systems
Other Requirements:
Office-based, 5 days per week
Hands-on technical background
Responsibilities:
Lead, mentor, and grow a senior global team
Set technical direction through design reviews
Own evolution of foundational storage and compute systems
Translate strategy into clear roadmaps
Establish standards for reliability and cost efficiency
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Senior 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:
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
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Senior Software Engineer – Foundational Data Systems for AI - Canada
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:
Depth in distributed systems
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
Pragmatic and rigorous
Responsibilities:
Architect transactional and metadata substrates
Build autonomous data reorganization systems
Optimize bit-level data organization
Develop distributed compute pipelines
Implement new research algorithms
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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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Staff Software Engineer – Foundational Data Systems for AI - Canada
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
Track record of architecting large-scale compute systems
Expertise with columnar formats
Deep production experience with Spark or Flink
Fluency in Java, Rust, Go, or C++
Other Requirements:
Demonstrated leadership
Passion for bridging research and production
Responsibilities:
Define global metadata and transactional substrates
Architect self-optimizing systems for data efficiency
Pioneer approaches to encoding and layout
Lead development of distributed compute platforms
Collaborate on translating research to production
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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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Senior DevOps Engineer
Accelerate AI development and scaling across global GPU networks with a unified platform that simplifies multi-cloud deployment and infrastructure management.
Education Requirements:
Bachelors or Master's Degree or equivalent experience in CS, Software Engineering, or related field.
Experience Requirements:
10+ years of proven experience
Other Requirements:
Strong Kubernetes understanding
Programming background in python/Golang/java
SQL (MySQL) and NoSQL (Elastic Search/MongoDB)
Configuration management tools (Ansible, Chef, Puppet)
Jenkins and CI systems
Responsibilities:
Architect scaling operation in data centers
Setup and Manage end to end Compute Infrastructure
Design and build sophisticated automations and AI powered applications
Deploy new data center infrastructure
Plan and implement critical metrics tracking
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