AI Jobs

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

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)

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

Other Requirements:

• Legally authorized to work in the United States

• Willing to work in-office five days a week

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

Benefits:

• Autonomy to make decisions

• Trust to act on decisions

• Accountability to see them through

• Build real systems

• Drive solutions

Experience Requirements:

• 7+ years in Data or Software Engineering

• 3+ years in a Technical Lead or Architect role

Other Requirements:

• Grit Factor

• Mastery of IaC (Terraform or Pulumi)

• Hands-on experience with GCP and Azure

• CI/CD & DevOps expertise

• Strong Python & SQL skills

Responsibilities:

• Design end-to-end data architectures

• Personally handle high-impact plumbing

• Security & Governance Gatekeeping

• Modern DataOps & Reusable Assets

• Agile Leadership

Benefits:

• Autonomy to make decisions

• Trust to act on decisions

• Accountability to see them through

• Build real systems

• Drive solutions

Experience Requirements:

• 10+ years in software or data engineering

• 3+ years building, deploying, and operating LLM-based systems

Other Requirements:

• Grit Factor

• Production experience with Vertex AI, OpenAI, Azure AI

• Expert-level Python

• Strong SQL and data modeling fundamentals

• Strong consulting instincts

Responsibilities:

• Architect agentic workflows

• Design retrieval systems (RAG)

• Evaluation & Metrics Ownership

• Technical Leadership & Delivery

• Strategic Consulting & Practice Enablement

Benefits:

• medical, dental, vision, disability and life insurance

• 401(k) retirement savings with company match

• employee stock purchase plan

• employee referral program

• paid time off (PTO)

Education Requirements:

• Technical degree or equivalent experience

Experience Requirements:

• Experience in networking and both Linux & Windows OS

• Knowledge of cloud and cybersecurity concepts

• Customer support experience

• Experience with Nessus, SIEMs, virtualization, SQL, or scripting is a plus

Other Requirements:

• Must already be authorized to work permanently in the U.S.

• Bilingual skills (Spanish, Portuguese) are a plus

Responsibilities:

• Troubleshoot complex issues and guide customers through vulnerability management

• Collaborate with Sales, R&D, and Customer Advocacy teams

• Grow skills working with cybersecurity technology

• Contribute knowledge articles and insights

Benefits:

• medical, dental, vision, disability and life insurance

• 401(k) retirement savings with company match

• employee stock purchase plan

• education assistance

• parental leave

Education Requirements:

• Bachelor’s degree in a technical field or equivalent experience

Experience Requirements:

• 2+ years professional experience with networking (TCP/IP), Linux/Unix, macOS, Windows administration

• Experience providing technical support to enterprise clients

• Demonstrated interest in AI and Large Language Models (LLMs)

Other Requirements:

• Must be authorized to work for any employer in the U.S.

• We are unable to provide sponsorship for work visas

• Flexibility to work occasional weekends or holidays

Responsibilities:

• Troubleshoot, analyze and address customer technical inquiries

• Use remote troubleshooting techniques to correct issues

• Analyze vulnerability scan results, system audits, and log events

• Recreate customer software issues in a lab environment

• Create and publish solution knowledge for re-use

Benefits:

• medical, dental, vision, disability and life insurance

• 401(k) retirement savings with company match

• employee stock purchase plan

• health and wellness events

• community programs

Education Requirements:

• Bachelor’s degree - ideally in Finance, Accounting or Analytics

Experience Requirements:

• 1-3 years of Analyst experience

• Experience with finance and accounting concepts

• Experience with Excel and G-Suite products

Other Requirements:

• Applicants must be authorized to work for any employer in the U.S.

• Minimal travel may be required

Responsibilities:

• Develop annual budgets, monthly and quarterly forecasts

• Analyze actual results using financial planning software

• Collaborate with cross-functional teams like Marketing and Operations

• Prepare regular financial reports and dashboards

• Communicate performance trends and actionable insights

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

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

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

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

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

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

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

Benefits:

• variable compensation

• equity

• benefits

Education Requirements:

• Degree in Computer Science, Engineering, Math, or equivalent experience.

Experience Requirements:

• 4+ years in consulting, engagement management, product, or as a founder—trusted by senior stakeholders.

• Ability to go beyond surface-level requests and solve the real business problem.

• Comfortable diving into architectural trade-offs, APIs, and agentic design with engineers.

• Natural ability to see the whole picture, anticipate downstream effects, and design resilient solutions.

• Experience in user research and workflow mapping, with a data-driven mindset.

Other Requirements:

• Entrepreneurial mindset

• Self-starter who thrives in ambiguity

Responsibilities:

• Understand Human Workflows: Partner with enterprise customers to map processes

• Design AI Employees: Translate workflows into agentic multi-agent systems

• Bridge Business and Technology: Turn client requirements into scalable capabilities

• Drive Strategic Roadmaps: Own the lifecycle of AI employees

• Champion Adoption & Value: Ensure customers achieve measurable ROI

Benefits:

• Regular social events and activities

• Yearly company retreat (Pantheon)

• €1000 annual learning budget

• Health insurance

• Extra vacation days with tenure

Experience Requirements:

• Skills or experience in Data, Engineering, UX, Strategy, or Operations

Other Requirements:

• Mindset grounded in Integrity, Curiosity, Creation, and Collaboration

Responsibilities:

• Apply if you feel you are a fit for the DEUS initiative