AI Jobs

Benefits:

• Health, Dental, Vision benefits

• 401(k) match up to 2%

• No cost therapy visits

• Competitive paid time off

• Parental leave

Experience Requirements:

• At least 12 years experience as a software engineer

• At least 5 years as senior engineering leader

• Track record of technical leadership

• Experience leading technology strategy

• Experience as culture driver

Other Requirements:

• Must be based in Seattle metro area

• Willing to commute 2-3 days a week (hybrid)

• Collaborative leadership style

Responsibilities:

• Establish and drive technical vision

• Balance business and technology tradeoffs

• Lead company-wide technical strategy

• Lead high leverage technical initiatives

• Mentor and coach Senior engineers

Experience Requirements:

• 7+ years in SaaS products

• 3+ years managing product teams

• Strong understanding of data-driven development

• Fluency in English

Other Requirements:

• Systems & UX thinker

• Mobile strategist

• Collaborative peer

Responsibilities:

• Set vision for Homepage and Notifications

• Lead strategy for end-to-end meeting journey

• Manage a group of senior PMs

• Prioritize complex needs into roadmap

• Allocate strategic resources

Education Requirements:

• Degree in Industrial Engineering, Statistics, Economics

Experience Requirements:

• 5+ years as a data or product analyst

• Proficiency using SQL and Excel

• Experience with product analytics methodologies

• Experience with Tableau or Looker

Other Requirements:

• Fluency in common statistical analysis methods

• Strategic thinking

• Self-motivation

Responsibilities:

• Present data-driven insights to leadership

• Build business cases for new functionality

• Lead deep-dive strategy analysis

• Design and maintain ongoing dashboards

• Ensure right data is generated and collected

Benefits:

• Hybrid work model

• Supportive, close-knit team

• Flexible work-life balance

• Opportunity to make a positive impact in healthcare

Experience Requirements:

• At least 5 years of experience managing B2B SaaS products

Other Requirements:

• Deep understanding of user experience design principles

• Skilled in using analytics tools to measure and enhance product performance

• Familiarity with U.S. consumer behavior and the healthcare landscape

• Excited about leveraging AI to solve complex problems

• Collaborative leader and natural team player

Responsibilities:

• Lead initiatives to design seamless, intuitive onboarding experiences

• Use data-driven strategies to improve product adoption, retention, and user satisfaction

• Partner with UX/UI designers, engineers, marketing, and sales to create customer-focused solutions

• Conduct research and leverage insights to refine workflows and enhance user experience

• Tailor solutions for the U.S. market and continuously monitor product performance

Benefits:

• Hybrid working scheme

• Salary

• Generous share options (EMI scheme)

• Team days and face-to-face meetings

Experience Requirements:

• Exceptional talent and motivated individuals

• Ability to bring fresh perspectives and new ideas

Other Requirements:

• Willingness to tackle difficult technical problems

Responsibilities:

• Contribute to the company success and growth

• Make a difference in Artificial Intelligence accuracy and safety

Benefits:

• Hybrid working (3 days in office encouraged)

• Free team lunches every Tuesday, Wednesday and Thursday

• Variety of optional social and extra-curricular activities

• Annual international offsite

• Collaborative world-class team environment

Experience Requirements:

• 7–10+ years in product leadership roles

• Proven success in high-stakes or regulated domains

• Strong technical fluency in AI/ML fundamentals

• Track record of launching and scaling impactful enterprise or infrastructure products

• Success creating product strategy in highly ambiguous environments

Other Requirements:

• Analytical, structured thinker

• Excellent leadership and people skills

• Entrepreneurial mindset with a bias for action

Responsibilities:

• Define and evolve the product vision and roadmap

• Translate cutting-edge technology into user-centric product experiences

• Identify and validate scalable opportunities in regulated markets

• Act as the “CEO of the product” ensuring strategic alignment

• Establish robust product management practices across prioritisation and planning

Benefits:

• Hybrid working arrangement (3 days in office encouraged)

• Free team lunches every Tuesday, Wednesday and Thursday

• Optional social and extra-curricular activities

• Annual international offsite

• Work on novel neurosymbolic AI platform

Education Requirements:

• Technical degree (computer science, engineering, or related)

Experience Requirements:

• 4+ years in technical product management roles in enterprise software/SaaS

• Proven track record working with large, complex enterprise customers at scale

• Deep understanding of AI and platform development

• Prior experience in a technical role

Other Requirements:

• Exceptional analytical and systematic thinking

• Strong communication skills

• Ability to challenge senior leadership constructively

• Right to work in the UK (inferred from general company status)

Responsibilities:

• Lead customer discovery with enterprise clients

• Define product vision and roadmap for developer platform

• Set realistic requirements based on deep technical understanding of AI

• Manage complex stakeholder dynamics across engineering, sales, and research

• Create rigorous product documentation (PRDs, specs, strategy documents)

Benefits:

• Hands on mentoring and support

• Exposure to full lifecycle (Backend, Frontend, DevOps)

• Hybrid working (3 days in-office expectation)

• Work with proprietary neurosymbolic technology

• Collaborative world-class team

Education Requirements:

• Degree in Computer Science, Mathematics or Engineering (or other STEM degrees)

Experience Requirements:

• Demonstrable capability at programming with Python

Other Requirements:

• Bias for action

• Natural tendency to take the initiative and make decisions

Responsibilities:

• Develop novel neurosymbolic solutions

• Work closely with research engineers and scientists

• Contribute to fundamental research problems

• Build production systems used by major institutions

• Apply and develop skills across the full software engineering lifecycle

Benefits:

• Mentorship from industry experts

• Technical talks

• Hybrid working (3 days in-office expectation)

• Free team lunches (Tue-Thu)

• Optional social activities

Education Requirements:

• Strong foundation in computer science fundamentals

Experience Requirements:

• Experience with programming languages such as Python or TypeScript

Other Requirements:

• Must have the right to work in the UK

• Ability to work from 08/06/2026 to 28/08/2026

• No visa sponsorship available

Responsibilities:

• Design, build, and deploy features for core products

• Collaborate with product managers, designers, and researchers

• Write clean, maintainable code

• Participate in code reviews

• Contribute to architectural decisions

Benefits:

• Mentorship from world-class researchers

• Hybrid working (3 days in-office expectation)

• Free team lunches (Tue-Thu)

• Optional social activities

• Annual international offsite

Education Requirements:

• Strong background in machine learning, LLMs, NLP, or related fields

Experience Requirements:

• Experience with research methodologies and experimental design

• Proficiency in Python

Other Requirements:

• Must have the right to work in the UK

• Ability to work from 08/06/2026 to 28/08/2026

• No visa sponsorship available

Responsibilities:

• Conduct original research in AI/NLP

• Develop and implement novel algorithms and models

• Analyse experimental results

• Contribute to research publications

• Present findings to the research team

Education Requirements:

• BS/BA in engineering, computer science, business administration, economics, or a related field

• Advanced degrees are a plus

Experience Requirements:

• 15+ years of business development and/or strategic partnerships experience

• 8+ years in the software industry

• Proven track record of identifying, negotiating, and managing strategic partnerships

• Demonstrated success in bringing new technologies to market

• Experience successfully developing strategic relationships in the defense sector

Other Requirements:

• Strong project management skills

• Excellent interpersonal skills

• Based in the SF Bay Area (Preferred)

• Experience with grant writing

Responsibilities:

• Drive identification and pursuit of new business opportunities in defense, mining, construction, and transit

• Conduct comprehensive market research and analysis

• Develop and execute innovative business strategies

• Build and maintain strong relationships with key stakeholders

• Negotiate and structure strategic partnership agreements

Education Requirements:

• BS/BA in engineering, computer science, robotics, physics, mathematics, or a similar field

Experience Requirements:

• 3-5+ years experience as a sales engineer, field engineer, or technical account manager

• 3+ years of account management, business development, or strategic partnerships

• Experience successfully collaborating with C-suite executives in high-growth startups

• Proven track record in team leadership and project management

• Experience in robotics or software engineering

Other Requirements:

• Excellent critical thinking and problem-solving skills

• Ability to collaborate with global cross-functional teams

• Experience in strategy consulting or investment banking (Extra Credit)

Responsibilities:

• Serve as the primary point of contact and technical expert for partner management matters

• Develop and maintain trusted advisor relationships with key partners and stakeholders

• Oversee and implement projects from start to finish

• Manage and communicate progress of monthly/quarterly initiatives

• Proactively identify upsell, cross-sell, and renewal opportunities

Education Requirements:

• Bachelor’s degree in mechanical engineering, electrical engineering, or a related field

• Advanced degrees preferred

Experience Requirements:

• 5-10 years’ experience

• Proven experience in hardware design for electronic systems

• Experience in vendor selection, negotiation, and supervision

• Proficiency in CAD software (e.g., SolidWorks, AutoCAD)

Other Requirements:

• Knowledge of thermal management and EMI/EMC considerations

• Experience with hardware solutions for rugged and harsh environments

• Familiarity with industry standards and regulatory requirements

Responsibilities:

• Design/develop custom hardware enclosure solutions for electronic systems

• Utilize off-the-shelf components to create efficient hardware designs

• Identify and select suitable vendors for sourcing components

• Oversee and supervise vendor activities to ensure quality and delivery

• Perform testing and validation of hardware solutions

Education Requirements:

• Bachelor’s Degree in Computer Science, Mechanical Engineering, Electrical Engineering, or equivalent

• Advanced Degrees highly preferred

Experience Requirements:

• Demonstrated ML Engineering experience developing Computer Vision or other models

• Production experience with Deep Learning models (training, fine-tuning, or deployment)

• Excellent software engineering skills in Python or C++

• Experience with deep learning frameworks (PyTorch, JAX, TensorFlow)

• Experience building models from sensor data: lidar, radar, camera

Other Requirements:

• Strong analytical skills in linear algebra, geometry, and probability

• Relevant industry experience with low-latency systems

• Strong academic track record in machine learning evidenced by publications

Responsibilities:

• Develop deep learning models for autonomy applications like object detection and classification

• Research, design, and implement state-of-the-art ML algorithms

• Identify or collect required datasets and implement data processing pipelines

• Deliver reliable software through CI, automated testing, and code reviews

• Address real-world issues encountered during tests or customer deployments

Experience Requirements:

• 2+ years of software engineering experience in ML Infrastructure, Data Engineering, or Platform Engineering

• Experience in architecting data engineering solutions for small teams (1-20 ppl)

• Production ML experience with model conversion/optimization or deployment on specialized hardware

• Knowledge of workflow orchestration pipelines (Argo, Airflow, Kubernetes)

• Experience with large-scale data processing systems (Spark, Databricks)

Other Requirements:

• Ability to programmatically access cloud services using Python or NodeJS

• Experience with Terraform or similar IAC solutions

• Robotics background, C++, ROS

• Experience with Google Cloud Platform

Responsibilities:

• Take ownership of infrastructure for developing and deploying ML models

• Architect and deploy cloud and on-prem ML training and evaluation infrastructure

• Own data management pipelines from ingestion to storage and training

• Modify model training code to utilize better data storage formats

• Evaluate and implement software/hardware for model deployment onto vehicles

Education Requirements:

• Strong foundational technical skills in mathematics, physics, and engineering

Experience Requirements:

• Deep knowledge of modern motion planning including sample base and trajectory planning

• Experience implementing motion planning methods in software on a robotic platform

• Experience developing in multiple large, complex C++ codebases

• Experience with ROS, OpenCV, ROS2, and/or QNX

Other Requirements:

• Ability to design software testing suites for robust motion planning

• Enjoy learning from others and sharing knowledge

• Remote candidates in North America considered

Responsibilities:

• Draw on advancements in motion planning to create novel advanced algorithms

• Algorithm design, software implementation, and testing

• Verification and validation through in-field testing and evaluation

• Work with other engineers to identify required stack capabilities

• Deliver an end product that exceeds customer expectations

Experience Requirements:

• 7+ years of engineering experience

• Deep knowledge of architecting large-scale software/hardware systems at the edge

• Experience gathering customer requirements and generating system-level requirements

• Prior work creating software and hardware tests for system verification

• Experience creating metrics pipelines and data analysis tools in Python

Other Requirements:

• Knowledge of complete software stack architecture of autonomous systems

• Experience engaging with customers to deliver products

• C++ software development in large codebases

Responsibilities:

• Meet with customers to understand needs and generate requirements

• Collaborate with engineering to develop system architectures

• Support the team in deriving component and performance requirements

• Create tests and testing pipelines for rapid iteration

• Identify new product opportunities to excite customers

Education Requirements:

• BS degree in a relevant engineering program

• M.S or Ph.D. preferred

Experience Requirements:

• Excellent programming skills (C/C++/Python)

• Experience with the Unreal engine

• Project experience aligned to simulation, autonomous vehicles, or robotics

• Skilled in working with middleware development (e.g., ROS/ROS2)

• Proficient in working with cloud technologies (AWS, GCP, Azure)

Other Requirements:

• Strong understanding of physics, mathematics, and software development principles

• Strong background with computer graphics

• Authorized to work in the United States

• Start-up DNA

Responsibilities:

• Design, develop, and maintain autonomous driving simulation platforms

• Implement realistic vehicle, sensor, and environmental models

• Design and execute simulation experiments to validate algorithms

• Collaborate with cross-functional teams to integrate simulation tools

• Analyze simulation results to provide insights for system improvement

Education Requirements:

• Bachelors or advanced degree in business, mathematics, or the sciences

Experience Requirements:

• Minimum of one year experience in Business Intelligence and Analytics

• Knowledge of Microsoft Dynamics CRM, KORE, Archtics, SQL, Excel, and Tableau

• Experience with Salesforce Marketing Cloud, R/Python, ETL a plus

Other Requirements:

• Excellent communication and analytical skills

• Ability to work extended hours including holidays and weekends

• Ability to work in office and arena environment

Responsibilities:

• Support the tactical administration of ticketing CRM

• Support initiatives to acquire and manage new fan data

• Establish a healthy lead universe with sales and marketing teams

• Coordinate data integration with various vendors

• Identify KPIs and methods for CRM and BI strategy

Benefits:

• Shape AI integration

• Collaborative startup environment

• Professional growth in edtech

• Competitive compensation

Experience Requirements:

• Minimum 5 years of K-12 teaching experience

Other Requirements:

• Ability to create engaging instructional materials

• Strong communication and presentation skills

• Deep interest in and enthusiasm for AI in education

• Comfortable with regional travel

Responsibilities:

• Lead professional development and training sessions

• Provide ongoing customer support

• Develop asynchronous training materials

• Represent Colleague AI at regional education conferences

• Conduct outreach to identify new engagement opportunities