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Lead Product Designer
Accelerate 3D mapping and infrastructure modeling with automated feature extraction for transportation and telecom surveyors using high-precision LiDAR data.
Benefits:
Offers Equity
Experience Requirements:
4+ years of product design experience
Experience in technical, data-heavy, or 3D product environments
Experience working on complex products with constraints related to spatial data
Prior work with CAD, BIM, 3D modeling tools, or geospatial interfaces
Experience conducting or synthesizing user research
Other Requirements:
Fluency in Figma and comfort evolving robust design systems
Strong visual design, interaction design, and systems thinking skills
Familiarity with frontend technologies (e.g., React, Three.js, TailwindCSS)
Responsibilities:
Lead design for core product workflows including 3D feature extraction
Partner with leadership to decide priorities and ensure quality shipping
Grow and mentor the design team at Mach9
Collaborate with engineers to refine prototypes into high-performance interfaces
Own the evolution of the design system and visual language
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Perception Intern, Summer 2026
Accelerate 3D mapping and infrastructure modeling with automated feature extraction for transportation and telecom surveyors using high-precision LiDAR data.
Education Requirements:
Currently pursuing a degree in Machine Learning, Computer Science, or a related field
Experience Requirements:
Strong programming fundamentals in Python
Hands-on experience with machine learning frameworks (e.g., PyTorch, Jax)
Familiarity with computer vision tasks
Solid understanding of machine learning concepts and techniques
Other Requirements:
Ability to implement and iterate on heuristic or geometry-based algorithms quickly
A keen interest in applying machine learning to geospatial data analysis
Collaborative mindset with the capacity to work independently
Responsibilities:
Work on advanced 2D image and 3D point cloud models for detection
Develop an initial prototype to detect paint lines and curbs on roadways
Bring perception models and algorithms into a real-time detection domain
Assist in the development and tuning of machine learning models
Contribute to projects at the intersection of ML and geospatial technology
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Product Designer
Accelerate 3D mapping and infrastructure modeling with automated feature extraction for transportation and telecom surveyors using high-precision LiDAR data.
Benefits:
Offers Equity
Education Requirements:
A degree or background in architecture, industrial design, engineering, computer science, or a similarly technical field
Experience Requirements:
Experience using CAD, 3D modeling tools, or other precision design software
Comfort working in Figma and building structured, reusable components
Exposure to interaction design for tools, editors, or developer workflows
Participation in usability testing or hands-on user observation
Other Requirements:
Strong systems thinking regarding how decisions ripple across a product
Interest in or exposure to 3D interfaces or spatial thinking
Clear communication skills and eagerness to collaborate with engineers
Familiarity with frontend concepts (React, component architecture)
Responsibilities:
Design user experiences for web-based 2D and 3D tools
Work closely with engineers to turn early prototypes into polished features
Contribute to and evolve the design system for clarity and consistency
Translate complex technical requirements into interaction patterns
Support user research efforts and synthesize feedback
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Founding Design Engineer
Automate complex business operations and build custom AI workflows using natural language with Japan's unique agent platform designed for enterprise efficiency.
Benefits:
Offers Equity
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Full Stack Software Engineer
Scale 1-1 personalization across lifecycle marketing channels using AI agents that automate A/B testing, localization, and message orchestration for CRM teams.
Benefits:
High ownership, high impact
Founding-stage startup backed by YC & Peak XV
Work with leadership from Twitter, Pinterest, and Goldman Sachs
Competitive salary
Meaningful equity
Experience Requirements:
2+ years of industry experience in full-stack engineering
Strong backend skills
Experience in building platforms end-to-end
Experience with product requirements
Other Requirements:
US citizen/visa only
Quick learner
Thrive in a fast-paced, constantly evolving environment
Responsibilities:
Design, implement, and QA large customer features, end-to-end
Take responsibility for projects from initial scoping to production
Own quality and outcomes across the full lifecycle
Partner closely with product and design teams
Evaluate tradeoffs between technical feasibility and product experience
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Forward Deployed Engineer
Scale 1-1 personalization across lifecycle marketing channels using AI agents that automate A/B testing, localization, and message orchestration for CRM teams.
Benefits:
High ownership, high impact
Founding-stage startup backed by YC & Peak XV
Work with leadership from Twitter, Pinterest, and Goldman Sachs
Competitive salary
Meaningful equity
Education Requirements:
A degree in computer science or equivalent experience in software engineering
Experience Requirements:
1+ years of experience
Excited about working directly with customers
Other Requirements:
US citizen/visa only
Strong communication skills in English
Responsibilities:
Architect and implement integrations between JustAI and CRM/Data systems
Prototype new workflows or AI agents
Communicate with customers to translate needs into scalable platform features
Help design how JustAI plugs in to reshape customer workflows
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Senior Software Engineer
Scale 1-1 personalization across lifecycle marketing channels using AI agents that automate A/B testing, localization, and message orchestration for CRM teams.
Benefits:
High ownership, high impact
Founding-stage startup backed by YC & Peak XV
Work with leadership from Twitter, Pinterest, and Goldman Sachs
Competitive salary
Meaningful equity
Experience Requirements:
3+ years of industry experience in backend/infra engineering
Experience designing data pipelines and processing event streams at scale
Proficiency in SQL and understanding of database design
Experience in building platforms and 0-1 systems
Other Requirements:
US citizen/visa only
Quick learner
Thrive in a fast-paced, constantly evolving environment
Responsibilities:
Design the system architecture for an AI-first marketing platform
Drive new ETL pipelines to handle customer event data at scale
Define industry standards for leveraging agentic AI
Power marketing decisions processing billions of data points daily
Drive effective monitoring and observability
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Chief of Staff (Founder’s Office)
Scale 1-1 personalization across lifecycle marketing channels using AI agents that automate A/B testing, localization, and message orchestration for CRM teams.
Benefits:
Direct exposure to the CEO, board, and leadership team
Crash course in company building
Path to grow into a leadership role
High growth startup environment
Experience Requirements:
2–5 years as a founder, in consulting, operations, or early-stage startups
Highly analytical; comfortable with data and financial models
Strong project management; able to drive initiatives from 0→1
Other Requirements:
US citizen/visa only
Exceptional written and verbal communication
Founder-like mindset: bias to action, resourceful
Low-ego team player
Responsibilities:
Drive the CEO’s top priorities and company-wide OKRs
Help with GTM, booking calls, and conducting company research
Wear many hats across functions like HR, accounting, and finance
Build lightweight processes that scale with the company
Lead high-impact projects in Marketing, Sales, or Fundraising
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Founding Account Executive
Scale 1-1 personalization across lifecycle marketing channels using AI agents that automate A/B testing, localization, and message orchestration for CRM teams.
Benefits:
First sales hire with massive ownership
Founding-stage startup backed by YC & Peak XV
Work with leadership from Twitter, Pinterest, and Goldman Sachs
Competitive salary and commission
Meaningful equity
Experience Requirements:
2+ years of experience as an Account Executive
Proven ability to own deals end to end
Experience selling to mid-market or enterprise customers
Other Requirements:
US citizen/visa only
Autonomous operator
Strong communication skills for technical and non-technical stakeholders
Thrive in fast-moving, ambiguous, 0-to-1 environments
Responsibilities:
Run end-to-end sales cycles from discovery to negotiation and close
Partner with CMOs and growth leaders at enterprise companies
Build long-term customer relationships grounded in trust
Own pipeline creation through outbound and strategic prospecting
Help define early sales process, messaging, and ideal customer profile
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Growth & Marketing Lead
Scale 1-1 personalization across lifecycle marketing channels using AI agents that automate A/B testing, localization, and message orchestration for CRM teams.
Benefits:
Hyperscaling journey from 1 to 100
Part of a founding GTM team at a YC + Sequoia-backed company
Build brand and positioning ground up
Competitive salary
Meaningful equity
Experience Requirements:
Ex-founder or part of an early founding team
Experience in Growth, GTM, or Marketing at SaaS/AI company
Experience running outbound or ABM campaigns
Other Requirements:
US citizen/visa only
Generalist operator
Proactive, disciplined and high energy
Strong creative instincts paired with analytical discipline
Responsibilities:
Define and execute the GTM strategy
Own content marketing and thought-leadership creation
Run outbound and ABM programs targeting CMOs and Growth leaders
Host and scale community-driven events like AI dinners
Build the early GTM ops stack (Attio, Apollo, Notion, Loom)
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Member of Technical Staff
Accelerate scientific discovery and engineering innovation through AI agents that plan, verify, and discover new skills alongside human inventors and researchers.
Benefits:
Offers Equity
Offers Bonus
Experience Requirements:
Experience with technical subjects, e.g., machine learning, computer science, statistics, (applied) math, physics, or related fields
Other Requirements:
Legal authorization to work in the US
Willingness to work from San Francisco office five days per week
Disclosure of visa sponsorship requirements
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Contracts Negotiator
Provide personalized, concierge-level customer experiences across voice, chat, and email using AI agents defined and optimized through natural language workflows.
Other Requirements:
Legally authorized to work in the United States
Willing to work in-office five days a week
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Staff Embedded Software Engineer
Shift from reactive to proactive infrastructure management using physical AI and autonomous technology to monitor, diagnose, and protect critical utility assets.
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering
Experience Requirements:
6+ years of hands-on experience developing embedded software
Experience with Yocto Project / OpenEmbedded
Experience with BSPs and bootloaders (U-Boot)
Proficiency in C/C++ for low-level software
Strong Linux debugging skills (GDB, strace, perf)
Other Requirements:
I2C
SPI
UART
GPIO
CI/CD
Secure boot
OTA update systems
SoC knowledge
Responsibilities:
Maintain Yocto-based embedded Linux distribution
Improve and extend BSPs, Yocto layers, and recipes
Support new hardware revisions and board bring-up
Develop low-level system software in C/C++
Provide technical leadership and mentor other engineers
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Software Engineer, Full-Stack
Boost enterprise productivity with universal AI employees that automate complex workflows across customer experience, finance, and internal operations in minutes.
Benefits:
variable compensation
equity
benefits
Education Requirements:
Bachelor's degree in Computer Science, Web Development, or a related field, or equivalent work experience.
Experience Requirements:
A minimum of 4 years of professional experience in full-stack development
Focus on front-end engineering and API integration
Strong proficiency in HTML, CSS, and JavaScript
Extensive experience in React
Experience with gRPC for client-server communication
Other Requirements:
Excellent problem-solving and analytical skills
Strong communication and collaboration skills
Ability to work effectively both independently and as part of a team
Responsibilities:
Design, develop, and implement exceptional user interfaces
Collaborate closely with product managers, UX designers, and other stakeholders
Develop and maintain API integrations
Contribute to back-end development
Build, test, and deploy full-stack web applications
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Software Engineer, Machine Learning
Boost enterprise productivity with universal AI employees that automate complex workflows across customer experience, finance, and internal operations in minutes.
Benefits:
variable compensation
equity
benefits
Education Requirements:
Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
Experience Requirements:
At least 2 years of industry experience in building and deploying production-level machine learning models
Deep understanding and practical experience with NLP techniques and frameworks
Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems
Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch
Excellent skills in data processing (SQL, ETL, data warehousing)
Other Requirements:
Excellent problem-solving skills
Attention to detail
Strong capacity for logical thinking
Ability to work collaboratively in a fast-paced environment
Responsibilities:
Conceptualize, develop, and deploy machine learning models
Implement advanced machine learning algorithms
Process and analyze large, complex datasets
Work across the complete lifecycle of ML model development
Implement A/B testing and other statistical methods
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Software Engineer, Backend
Boost enterprise productivity with universal AI employees that automate complex workflows across customer experience, finance, and internal operations in minutes.
Benefits:
variable compensation
equity
benefits
Education Requirements:
Bachelor's degree in Computer Science or related field.
Experience Requirements:
At least 4 years of relevant work experience.
Solid background in algorithms, data structures, and object-oriented programming
Experience in back-end development using languages like Python and Go
Knowledge of database technologies like PostgreSQL, Elastic, Redis.
Knowledge of designing and building API platforms and integration systems.
Other Requirements:
Strong problem-solving skills
Attention to detail
Ability to work independently and as part of a team
Experience working with global teams
Responsibilities:
Develop and maintain enterprise software applications
Write clean, efficient, and maintainable code
Build scalable and reliable back-end systems
Develop and maintain APIs using REST and gRPC
Build and maintain scalable and extensible data schemas
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Software Engineer, DevOps
Boost enterprise productivity with universal AI employees that automate complex workflows across customer experience, finance, and internal operations in minutes.
Benefits:
variable compensation
equity
benefits
Education Requirements:
Bachelor's or Master's degree in Computer Science or related field.
Experience Requirements:
3+ years of experience in Infrastructure engineering, or a similar role
Experience with public cloud networks like AWS, Azure and GCP
Experience with Kubernetes, Helm, Terraform, and Istio
Knowledge of automation tools like Ansible
Experience with CI/CD pipelines
Other Requirements:
Excellent problem-solving skills
Ability to work under pressure in a fast-paced environment
Ability to work independently and as part of a team
Experience working with global teams
Responsibilities:
Partner with product teams to architect foundational infrastructure
Design, develop, and deploy highly available and scalable Multi-tenant SaaS solutions
Drive the automation of infrastructure tasks
Collaborate closely with the software development team to refine CI/CD pipelines
Architect and implement advanced observability solutions
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Software Engineering Lead, Backend
Boost enterprise productivity with universal AI employees that automate complex workflows across customer experience, finance, and internal operations in minutes.
Benefits:
variable compensation
equity
benefits
Education Requirements:
Bachelor's degree in Computer Science or related field.
Experience Requirements:
At least 4 years of relevant work experience.
Experience building products across the stack
Solid background in algorithms, data structures, and object-oriented programming
Experience in back-end development using languages like Python and Go
Knowledge of database technologies like PostgreSQL, Elastic, Redis.
Other Requirements:
Strong problem-solving skills
Attention to detail
Ability to work independently and as part of a team
Experience working with global teams
Responsibilities:
Develop and maintain enterprise software applications
Write clean, efficient, and maintainable code
Build scalable and reliable back-end systems
Develop and maintain APIs using REST or GraphQL
Integrate multiple enterprise applications and services
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Software Engineering Lead, Machine Learning
Boost enterprise productivity with universal AI employees that automate complex workflows across customer experience, finance, and internal operations in minutes.
Benefits:
variable compensation
equity
benefits
Education Requirements:
A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
Experience Requirements:
Proven industry experience in building and deploying production-level machine learning models.
Deep understanding and practical experience with NLP techniques and frameworks.
Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems.
Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.
Excellent skills in data processing (SQL, ETL, data warehousing).
Other Requirements:
Excellent problem-solving skills
Attention to detail
Strong capacity for logical thinking
Ability to work collaboratively in a fast-paced environment
Responsibilities:
Conceptualize, develop, and deploy machine learning models
Implement advanced machine learning algorithms
Lead the processing and analysis of large, complex datasets
Work across the complete lifecycle of ML model development
Implement A/B testing and other statistical methods
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Product Manager
Boost enterprise productivity with universal AI employees that automate complex workflows across customer experience, finance, and internal operations in minutes.
Education Requirements:
Bachelor’s degree in Business, Marketing, Computer Science, or a related field.
An MBA or equivalent experience is a plus.
Experience Requirements:
3-5 years of experience in product management, preferably in the tech or software industry.
Strong understanding of product development processes, including agile methodologies.
Ability to work with cross-functional teams and influence without direct authority.
Excellent communication, leadership, and problem-solving skills.
Analytical mindset with the ability to interpret data and make informed decisions.
Other Requirements:
Strong organizational and project management skills
Knowledge of user experience (UX) design principles
Responsibilities:
Define and communicate the product strategy and roadmap
Conduct market research and competitor analysis to identify opportunities
Collaborate with engineering, design, and marketing teams to deliver products
Prioritize product features, enhancements, and bug fixes
Manage the product development lifecycle
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