Experience Requirements:

• Experience in technical program management or operations roles in high-complexity environments

• Track record of managing programs requiring coordination between technical and operational teams

• Deep experience with test planning and operational readiness frameworks

• Proven ability to influence across teams and functions, including remote stakeholders

• Strong problem-solving skills in ambiguous, rapidly evolving environments

Other Requirements:

• Ability to travel internationally up to 30% of the time

• Experience in autonomous vehicles or field robotics operations

• Background in process improvement methodologies (Lean, Six Sigma)

Responsibilities:

• Convert high-level program plans into clear, actionable on-road plans

• Lead execution across internal-facing and external-facing testing programs

• Act as connective tissue between model developers, product teams, and operations

• Maintain consistent experiment design and vehicle availability across testing programs

• Partner with Systems and Enablement teams to leverage fleet data for process refinement

Experience Requirements:

• 5+ years of experience in a marketing/communication role

• Solid foundation in PR, comms & content creation across media relations and brand messaging

• Skilled in supporting media engagement, pitching, and handling inquiries

• Strong organizational and project management skills

• Experience in engaging global press and media outlets

Other Requirements:

• Willingness to travel (national & international)

• Self-sufficient and ability to work independently

• Experience working in Automotive, Autonomy and/or AI

Responsibilities:

• Support global communications strategy aligned with company milestones and GTM activities

• Craft compelling stories about AI models and simulation platforms across various channels

• Translate deep tech into clear messaging for different audiences

• Build and manage a cadence of high-impact announcements and partnerships

• Support executive communications including speech writing and panel briefings

Experience Requirements:

• Hands-on experience evaluating and validating complex engineered systems

• Experience in evidence-based decision-making and strong analytical skills

• Strong systems thinker who works seamlessly across functions

• Excellent documentation and communication skills

Other Requirements:

• Background in ML, Computer Vision, Motion Planning, or Data Science

• Experience in Automotive or AV industries

• Experience with SOTIF and safety validation

Responsibilities:

• Design and deliver validation scenarios to assess driving safety and performance

• Collaborate with Product, Architecture, and Autonomy leads on test strategies

• Lead the design and development of test scenarios using unique validation methods

• Grow and inspire a high-performing team of validation systems engineers

• Establish AI trust and safety through AI-powered simulation and scenario generation

Experience Requirements:

• Understanding of vehicle diagnostics, software and hardware fault triage

• Ability to troubleshoot and resolve technical issues quickly (5-minute SLA)

• Experience in fleet operations, automotive systems, or ADAS technology

• Familiarity with diagnostic tools and monitoring platforms (Datadog, Mender)

• Understanding of safety protocols and incident management

Other Requirements:

• Comfortable working in shift-based patterns including weekends

• Willingness to travel (10-15%)

• Capable of participating in on-call rotations

Responsibilities:

• Perform on-site fault triage and repair of vehicle software and hardware issues

• Follow structured fault diagnosis and repair protocols

• Collaborate with cross-functional teams to troubleshoot technical issues

• Respond rapidly to issues to maintain fleet uptime

• Provide updates on repairs and ensure smooth handovers across locations

Benefits:

• Comprehensive medical and dental coverage

• Retirement benefits

• Discounted products and free services

• Tuition reimbursement

• Discretionary restricted stock unit awards

Education Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, Machine Learning

• Master’s degree preferred

Experience Requirements:

• 8+ years of software development experience with focus on software engineering and machine learning

• Experience with developing large-scale, distributed computing systems

• Track record in architecting and deploying intelligent systems

• Proficiency in Python, Java, or similar

• Skilled with cloud platforms (AWS, GCP)

Other Requirements:

• Containerization tools (Docker, Kubernetes)

• Ability to translate technical concepts into business insights

• Outstanding user experiences focus

• Strategic vision and hands-on expertise

Responsibilities:

• Define and implement architecture and roadmap

• Guiding complex projects from concept to adoption

• Implementing intelligent systems

• Communicate effectively with stakeholders

• Leave the world better than we found it

Education Requirements:

• Bachelor's or master's degree in engineering in computer science, electrical, AI, or data science

Experience Requirements:

• 5+ years of experience in testing enterprise software, distributed systems, or datacenter hardware

• Strong coding skills in python, golang and C/C++

• Strong debugging skills with tools like pdb, gdb, strace

• Deep understanding of operating systems internals

• Experience with cloud technologies like AWS, kubernetes and dockers

Other Requirements:

• Understanding of ML model training and inference is a plus

• Subject to Export Administration Regulations licensing

Responsibilities:

• Innovate and execute tests on cutting edge AI infrastructure

• Define optimized test strategies and methodologies

• Automate tests for cluster features including high availability and performance

• Champion cluster security and reliability for 99.9999% uptime

• Test all components of AI cluster including kubernetes, prometheus, and hardware

Benefits:

• Stock options

• 401(k) plan

• Health insurance

• Dental insurance

• Vision insurance

Experience Requirements:

• Linux fundamentals

• Networking fundamentals

• Experience with Kubernetes

• Experience with incident response

• Strong software engineering ability in Go or Python

Other Requirements:

• Experience with observability tools

• Ability to reason about performance tradeoffs

Responsibilities:

• Own production reliability (availability, latency, incident response)

• Build and maintain observability (metrics, logs, traces)

• Improve deployment safety (CI/CD, rollout strategies)

• Capacity planning and cost control

• Security and compliance (secrets management, patching)

Benefits:

• Comprehensive health, dental, and vision insurance

• The latest and best office equipment

• Competitive salary, equity, and benefits package

• Flexible work environment

• Unlimited, flexible time off

Education Requirements:

• Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Computer Science, Statistics, or Data Science

Experience Requirements:

• Solid foundation in statistics and core machine learning concepts

• Strong proficiency in Python (Pandas, NumPy, Scikit-learn)

• Proficiency in SQL

• Prior professional or internship experience in data science

Other Requirements:

• Fluent in both English and Mandarin preferred

Responsibilities:

• Support development and validation of machine learning models

• Assist in building LTV and revenue forecasting models

• Design and analyze experiments to evaluate model effectiveness

• Conduct exploratory data analysis

• Build dashboards and data narratives

Benefits:

• Stock options for core team members

• 401(k) plan

• Comprehensive health, dental, and vision insurance

• Latest office equipment

• Unlimited, flexible time off

Experience Requirements:

• 2+ years of experience in software engineering or distributed systems

• Strong programming skills in Python

• Familiarity with distributed frameworks (Spark, Dask, Ray)

• Experience with workflow orchestration tools (Temporal, Celery)

• Proficiency with Infrastructure as Code (Terraform)

Other Requirements:

• Product-first mindset for internal tooling

• Comfortable in a startup environment

Responsibilities:

• Design and implement distributed task orchestration systems

• Architect pipelines across cloud object storage and data lakes

• Design and maintain distributed ingestion pipelines

• Support preprocessing of unstructured assets for AI training

• Build internal Data Explorers and management consoles

Education Requirements:

• Ph.D. or M.S. in Chemistry, Materials Science, Chemical Engineering, or a related field

Experience Requirements:

• 3-5 years of industrial analytical chemistry experience

• Demonstrated expertise in tool management and method development

• Proven ability to solve complex analytical challenges

• A quality-first approach to method development and troubleshooting

• Detail-oriented with excellent project management skills

Other Requirements:

• Expertise in Gas, liquid, or ion chromatography

• Expertise in Mass spectrometry

• Expertise in Trace metals analysis by ICP-MS or OES

• Experience with lab quality standards (e.g., ISO 17025, ASTM, GMP)

• Experience supporting tool installation and qualification

Responsibilities:

• Own and ensure the success of projects in ICP-MS, ICP-OES, LC-MS, and GC-MS

• Develop and validate new analytical methods for diverse applications

• Interpret data, compile findings, and present results in customer-facing reports

• Assign and delegate projects, write SOPs, and train junior staff

• Maintain and optimize instrument performance and interface with vendor support

Benefits:

• Health

• 401(k)

• Standard startup package

Experience Requirements:

• 3–5 years in B2B SaaS demand generation or growth marketing

• Experience selling to enterprise buyers

• Early hire on a marketing team (team of three or fewer)

Other Requirements:

• Hands-on with HubSpot, Marketo, or similar platforms

• Strong copywriting instincts

• Comfortable with data and pipeline attribution systems

Responsibilities:

• Own execution of pipeline-generating marketing across every channel

• Build email, LinkedIn, ads, webinars, and landing pages

• Stand up nurture sequences and launch campaigns

• Report to Head of Marketing & Partnerships

Benefits:

• Discretionary employee stock programs

• Medical and dental coverage

• Retirement benefits

• Tuition reimbursement

• Discounted products

Education Requirements:

• Bachelors degree in Computer Science

Experience Requirements:

• Related internship or job experience

Other Requirements:

• Programming knowledge in Java or Python

• Knowledge of Web or iOS development

Responsibilities:

• Develop server-side or web systems

• Build custom internal tools

• Manage massive systems and services

• Attend educational/social community events

Benefits:

• Competitive salary with generous equity grants

• Fully covered health, dental, and vision, plus retirement benefits

• Unlimited PTO

• Dinner on late nights

• Monthly support for health and wellness

Experience Requirements:

• 4+ years of experience in applied ML or research engineering

• Production experience with agentic/LLM systems

• Experience bringing work from prototype to production

• Strong on ML fundamentals and statistical modeling

• Experience running end-to-end evaluation pipelines

Other Requirements:

• Proficient in Python and Typescript

• Strong problem-solving skills for maintainable code

• Identify as a builder

• Excited to work in-person in New York

• Thrive in a fast-paced iterative environment

Responsibilities:

• Run experiments across research areas and analyze results

• Build evaluation infrastructure and pipelines

• Explore research directions in AI agents and ML

• Collaborate with platform and product to productionize prototypes

• Build tooling for measuring progress and iteration

Benefits:

• Competitive salary with generous equity grants

• Fully covered health, dental, and vision, plus retirement benefits

• Unlimited PTO

• Dinner on late nights

• Monthly support for health and wellness

Experience Requirements:

• 2–5 years in RevOps, GTM Ops, or Growth Ops

• Ownership of systems supporting pipeline creation and conversion

• Implementation of workflows across CRM and automation tools

• Ability to create clarity from ambiguity

• Strong analytical capability and data integrity focus

Other Requirements:

• High bar for CRM and pipeline integrity

• Excellent written communication for documentation

• Identify as a builder

• Excited to work in-person in New York

• Thrive in a fast-paced iterative environment

Responsibilities:

• Own full GTM system architecture and automation

• Build and maintain automated outbound engines

• Own inbound orchestration and lead routing

• Enable BDR execution with systems and playbooks

• Run RevOps day to day with a focus on reliability

Benefits:

• Competitive salary with generous equity grants

• Fully covered health, dental, and vision, plus retirement benefits

• Unlimited PTO

• Dinner on late nights

• Monthly support for health and wellness

Education Requirements:

• Degree in Computer Sciences or related technical discipline

Experience Requirements:

• 2-4 years of experience in B2B SaaS sales

• Track record of sourcing and closing deals

• Experience selling technical products to engineering buyers

• Proven ability to run technical discovery and pilots

• Strong outbound pipeline creation skills

Other Requirements:

• High ownership and comfort with ambiguity

• Excellent writing and communication skills

• Strong operational discipline and CRM hygiene

• Identify as a builder

• Excited to work in-person in New York

Responsibilities:

• Own full-cycle sales motion from sourcing to close

• Run technical discovery with engineering teams

• Lead deal process through technical evaluation and pilots

• Develop sales narratives, talk tracks, and email sequences

• Partner with founders and engineering for high-signal feedback

Benefits:

• Competitive salary with generous equity grants

• Fully covered health, dental, and vision, plus retirement benefits

• Unlimited PTO

• Dinner on late nights

• Monthly support for health and wellness

Experience Requirements:

• Experience as a Design Engineer or frontend engineer with strong design skills

• Proficient in React, Next.js, TypeScript, and Tailwind

• Strong visual and interaction instincts

• Fast, flexible prototyper in Figma, code, or AI tools

• Hands-on with CSS animation, transitions, and layout

Other Requirements:

• A strong portfolio showcasing high-quality front-end development work

• Comfortable in a fast-moving startup environment

• Identify as a builder

• Excited to work in-person in New York

• Thrive in a fast-paced iterative environment

Responsibilities:

• Own the design system across Figma and code (React, Tailwind)

• Ship pixel‑perfect interfaces with CSS

• Take ideas from rough sketches to production-ready

• Raise the bar on front‑end architecture and best practices

• Define new interaction patterns for AI‑driven tools

Benefits:

• Competitive salary with generous equity grants

• Fully covered health, dental, and vision, plus retirement benefits

• Unlimited PTO

• Dinner on late nights

• Monthly support for health and wellness

Experience Requirements:

• 5+ years of software engineering experience

• Production experience with LLMs or agent-based systems

• Strong experience in Typescript, React, Postgres, and NestJS

• Comfort with AI production realities like latency and error handling

• Experience owning projects end-to-end in a startup environment

Other Requirements:

• Strong problem-solving skills for maintainable code

• Identify as a builder

• Excited to work in-person in New York

• Love working in a startup environment

• Thrive in experimentation-essential environments

Responsibilities:

• Design and build agentic workflows for incidents

• Engineer context and retrieval systems

• Ship product features end-to-end across the stack

• Partner with platform and research on AI capabilities

• Take ownership of ambiguous projects and delivery

Benefits:

• Competitive salary with generous equity grants

• Fully covered health, dental, and vision, plus retirement benefits

• Unlimited PTO

• Dinner on late nights

• Monthly support for health and wellness

Experience Requirements:

• 5+ years of software engineering experience in full-stack roles

• Experience owning projects end-to-end in a startup environment

• Strong experience in Typescript, React, Postgres, and NestJS

• History of pushing product thinking and feature design

• Ability to lead ambiguous initiatives and align cross-functional teams

Other Requirements:

• Identify as a builder

• Excited to work in-person in New York

• Love working in a startup environment

• Enjoy working with people who think in systems

• Thrive in a fast-paced iterative environment

Responsibilities:

• Build AI-native tools and products

• Design and ship product features from backend to interface

• Talk to users and build products

• Collaborate with design on frontend polish

• Take ownership of ambiguous projects and orchestrate delivery

Benefits:

• Competitive salary with generous equity grants

• Fully covered health, dental, and vision, plus retirement benefits

• Unlimited PTO

• Dinner on late nights

• Monthly support for health and wellness

Experience Requirements:

• At least 3 years of experience in ML platform or data engineering

• Experience designing evaluation systems with noisy ground truth

• Strong system design skills

• Ability to write clean, scalable code and strong data modeling

• Demonstrated ability to bring ambiguous goals to production

Other Requirements:

• Proficient in Python and Typescript

• Experience with ML libraries and data engineering tools

• Identify as a builder

• Excited to work in-person in New York

• Thrive in a fast-paced iterative environment

Responsibilities:

• Own the evaluation stack and pipeline building

• Define quality at scale for agent trajectory quality

• Build platform abstractions for agents

• Own latency, observability, and uptime in production

• Partner with platform, product, and research teams

Benefits:

• Competitive salary with generous equity grants

• Fully covered health, dental, and vision, plus retirement benefits

• Unlimited PTO

• Dinner on late nights

• Monthly support for health and wellness

Experience Requirements:

• Deeply technical and comfortable writing scripts and inspecting logs

• Experience working with APIs

• Care about customer experience and owning outcomes

• Clear communication and reliable follow-up

• Enjoy working cross-functionally with GTM and Engineering

Other Requirements:

• Energized by ambiguous, high-impact work

• Identify as a builder

• Excited to work in-person in New York

• Love working in a startup environment

• Thrive in experimentation-essential environments

Responsibilities:

• Own customer implementation and calibration

• Validate and monitor implementation performance

• Debug and resolve issues hands-on within customer environments

• Collaborate with Engineering on custom connectors and deployments

• Support pre-sales enablement and technical questions