AI Jobs

Experience Requirements:

• Demonstrated success in delivering and maintaining AI products at scale

• Deep knowledge of best engineering practices

• Capability of delivering industry-leading AI solutions

• Strong communication and collaboration skills

Responsibilities:

• Lead the engineering team to design, develop, and deploy high-performance, secure, and reliable ML services

• Partner closely with the ML team to streamline and optimize the transition from experimentation to production

• Deeply understand customer needs and industry trends

• Work directly with customers to deliver tailored solutions

• Establish yourself as a thought leader in the AI safety and compliance domain

Experience Requirements:

• 4+ years in DevOps or related field

• Proficiency in IaC and CI/CD automation tools

• Strong expertise in managing Kubernetes clusters

• Advanced programming skills in Python and Bash

• Excellent analytical and troubleshooting skills

Responsibilities:

• Build and improve our CI/CD pipelines

• Manage our CD processes using ArgoCD

• Manage our entire AWS infrastructure using Terraform

• Implement and manage monitoring and alerting

• Implement and maintain security best practices

Experience Requirements:

• 5+ years of experience developing user interfaces with TypeScript, React

• Demonstrated experience in front-end architecture

• Strong proficiency in translating design mockups

• Experience with state management solutions

• Solid understanding of accessibility standards

Responsibilities:

• Architect, design, and develop front-end systems

• Rapidly translate Figma mockups into fully functional user interfaces

• Lead the design reviews

• Optimize applications for speed, scalability, and cross-browser compatibility

• Implement and manage state management solutions

Experience Requirements:

• 3+ years of experience developing and managing scalable services in Kubernetes

• Proficiency in Kubernetes, cloud services, and modern DevOps practices

• Proven track record of collaborating with customers

• Strong programming skills in Python or other relevant languages

Responsibilities:

• Design, develop, and maintain our Kubernetes-based infrastructure

• Take full ownership of the infrastructure

• Be innovative, apply industry best practices

• Develop and maintain automated testing frameworks and CI/CD pipelines

Education Requirements:

• Bachelor’s degree in Business Administration, Marketing, or a related field

Experience Requirements:

• At least 8-10 years of experience in customer success

• Strong understanding of customer success metrics

• Excellent interpersonal and communication skills

• Demonstrated ability to manage and inspire a team

• Proficient in CRM and Customer Success software platforms

Responsibilities:

• Build and lead Customer Success Team

• Customer Relationship Management

• Customer Onboarding and Adoption

• Customer Advocacy

• Retention and Growth Strategies

Experience Requirements:

• Experience with managing teams, projects, or products

• Experience with machine learning topics is a plus

• Experience leading ML or engineering teams in financial services is a plus

Responsibilities:

• Develop strategies to most effectively address enterprise customer needs

• Prepare presentations and materials

• Identify and quantify pain points and needs

• Execute plans for successfully meeting customer deliverables

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred

Experience Requirements:

• 8+ years of experience in a technical pre-sales or sales engineering role

• Deep understanding and hands-on experience with AI, machine learning, and cloud computing technologies

• Proficiency in container technologies such as Docker and Kubernetes

• Proven track record of leading successful technical sales engagements

• Strong communication and presentation skills

Responsibilities:

• Build and Lead Sales Engineering Team

• Technical Sales Leadership

• Customer Engagement

• Product Alignment

• Product Evangelism

Experience Requirements:

• Significant experience deploying and securing production AI/ML infrastructure

• Deep understanding of popular security posture management tools and practices

• Strong familiarity with AI/ML concepts

• Previous experience in security services setup or at a large SaaS security company is highly desirable

Responsibilities:

• Work directly with customers to assess and enhance their AI/ML security posture

• Design and implement architectural patterns and proof of concepts

• Collaborate with cross-functional teams

Experience Requirements:

• Deep domain knowledge in LLM safety and/or evaluation techniques

• Extensive experience in designing, implementing, and maintaining production-ready ML code

• Comfortability with leading end-to-end projects and collaborating with researchers and engineers

• Adaptability and flexibility

Responsibilities:

• Work at the intersection of ML and Engineering

• Perform rigorous testing of the product features

• Push the envelope by implementing novel techniques

• Work closely with our policy, product, and engineering teams

Experience Requirements:

• Domain knowledge in LLM evaluation and data curation techniques

• Extensive experience in designing and implementing LLM benchmarking

• Adaptability and flexibility

Responsibilities:

• Own LLM evaluation processes and methods

• Generate high quality synthetic data, curate labels, and conduct rigorous benchmarking

• Deliver robust, scalable, and reproducible production code

• Push the envelope by developing methods for benchmarking

• Co-author papers, patents, and presentations

Experience Requirements:

• Deep domain knowledge in privacy-preserving ML

• Practical experience in techniques to attack or defend ML models

• Extensive experience in implementing multiple different types of LLM models and architectures

• Adaptability and flexibility

Responsibilities:

• Own an ML privacy vertical

• Collaborate with our engineering team to deliver real-world applications

• Generate high quality synthetic training data, train LLMs, and conduct rigorous evaluation and benchmarking

Experience Requirements:

• Deep domain knowledge in LLM safety techniques

• Extensive experience in designing, training, and implementing multiple different types of LLM models and architectures

• Adaptability and flexibility

Responsibilities:

• Own an LLM vertical with a focus on a specific safety domain

• Generate high quality synthetic data, train LLMs, and conduct rigorous benchmarking

• Deliver robust, scalable, and reproducible production code

• Push the envelope by developing novel techniques and research

• Co-author papers, patents, and presentations

Experience Requirements:

• Deep research domain knowledge in LLM safety techniques

• Extensive research experience in aligning, training, and/or attacking multiple different types of LLM models and architectures

• Adaptability and flexibility

Responsibilities:

• Spearhead an LLM research domain with a focus on safety, quality, explainability, evaluation, and/or adversarial attacks

• Push the envelope by developing novel techniques and research

• Co-author papers, patents, and presentations

• Lead research projects end-to-end

• Deliver generalizable, scalable, and reproducible algorithms

Education Requirements:

• Bachelor's degree in a relevant field is preferred

Experience Requirements:

• Minimum of 5 years of experience in B2B SaaS sales or business development roles, preferably at an early stage company or business unit within the geospatial commercial sector or relevant industries.

• Proven track record of exceeding sales targets and driving revenue growth.

• Self-motivated and self-sufficient to achieve and surpass sales goals.

• Strong networking and prospecting skills, with the ability to identify and engage key decision-makers.

• Excellent communication and presentation skills, with the ability to articulate complex technology and onboarding programming in a compelling manner. Consultative selling approach, with a focus on understanding customer needs and providing tailored solutions. Relationship-building skills, with the proven ability to foster trust and credibility with clients over many years (2+ year relationships).

Other Requirements:

• Willingness to travel 50%

• Familiarity with geospatial technology or related industries is a plus.

• Previous experience with government contracts and procurement.

• Proficiency in CRM software and other sales productivity tools

Responsibilities:

• Outbound Sales Strategy Collaboration

• Key Account Growth

• Prospecting and Lead Generation

• Consultative Selling

• Sales Presentations and Negotiations

Experience Requirements:

• 3-5 years of experience in a Solutions Engineering, Pre-Sales Engineering, Sales Engineering, or similar technical sales role at an enterprise SaaS company.

• Similar levels of experience in an engineering role at a professional software development company with strong communications skills are still encouraged to apply

Other Requirements:

• Excellent communication and presentation skills, with the ability to clearly articulate complex technical concepts to both technical and non-technical audiences.

• Fast learner: can quickly learn and explain complex technical concepts and operate in a rapid product development environment.

• High attention to detail / organization to plan, coordinate, and execute on many projects simultaneously.

• Analytical / engineering mindset with the ability to quickly identify and resolve technical challenges, tailoring solutions to meet customer needs.

• Ability to work effectively with cross-functional teams, including engineering, product, sales, and marketing, to deliver successful outcomes for customers.

• Ability to travel domestically or internationally 25-50%

Responsibilities:

• Sales Collaboration

• Post-Sales Support

• Product Development Collaboration

• Marketing Collaboration

Experience Requirements:

• Experience in web development, particularly with Next.js, Node, React, and Redux, and a strong understanding of modern web development practices.

• A keen interest in, or experience with, 3D graphics development, particularly in a web context. Prior experience with Cesium.js, Three.js, or a similar renderer, or a willingness to learn quickly, is highly desirable.

• A creative and analytical approach to problem-solving, with the ability to work on complex, interactive 3D environments.

• Excellent communication and collaboration skills, with a proven track record of working effectively in dynamic, cross-functional teams.

• A commitment to high-quality code and an enthusiasm for learning new technologies and techniques

Other Requirements:

• Experience with Prisma or similar ORM tools.

• Familiarity with 3D rendering libraries, particularly Cesium.js, or a strong willingness to master it as part of the role

Responsibilities:

• Lead the development and enhancement of our 3D annotation QA tool, ensuring a seamless and intuitive user experience for quality assurance workflows.

• Implement new features and functionalities within our platform, focusing on both typical web development tasks and specialized 3D graphics requirements.

• Work closely with our product and engineering teams to define and achieve optimal solutions for 3D and 2D UI development challenges.

• Stay abreast of the latest developments in web technologies and 3D graphics, continuously seeking to improve our platform's performance and capabilities

Education Requirements:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• Graduating by May 2026

Experience Requirements:

• Past experience with web development, including proficiency in JavaScript or Typescript, HTML, and CSS, and familiarity with frameworks such as React.

• Bonus: experience with 3D graphics and visualization libraries such as Three.js or CesiumJS.

• Excellent problem-solving abilities and a collaborative mindset, with the capacity to work independently on complex tasks

Responsibilities:

• Develop workflows for QA/QC of new geospatial features, such as utility networks or rail infrastructure, using 3D point cloud and vector data.

• Build a web-based tool for visualizing and interacting with the results of our machine learning models, enabling users to review and annotate detected urban features.

• Contribute to bringing our cloud software stack into an on-premises environment for better security and performance

Education Requirements:

• Currently pursuing a Master's or PhD in Machine Learning, Computer Science, or a related field, with a solid understanding of machine learning concepts and techniques.

• Graduating by May 2026

Experience Requirements:

• Strong programming skills in Python, with experience in developing and debugging ML models.

• Hands-on experience with machine learning frameworks (e.g., PyTorch, TensorFlow) and familiarity with computer vision tasks.

• A keen interest in applying machine learning to solve real-world problems, particularly in the context of geospatial data analysis.

• Excellent problem-solving abilities and a collaborative mindset, with the capacity to work independently on complex tasks

Responsibilities:

• Develop an initial prototype to detect paint lines and curbs on roadways.

• Bring our perception models and algorithms into a real-time detection domain, trading off accuracy for speed to run on an advanced edge mapping hardware system.

• Assist in the development and tuning of machine learning models to enhance performance and accuracy

Education Requirements:

• Masters or PhD in ML or Computer Vision

Experience Requirements:

• Experience building and training 2D or 3D computer vision deep neural networks.

• A proven track record of leading projects and mentoring junior engineers.

• Proficiency in programming languages relevant to ML and CV, particularly Python and C++ (or equivalent languages), with the ability to write efficient, maintainable code.

• Ability to independently manage and track progress on projects, demonstrating a high degree of self-motivation and accountability

Responsibilities:

• Develop and optimize advanced machine learning and computer vision models.

• Innovate and experiment with novel model architectures, aiming to enhance our 3D geospatial model's accuracy and efficiency.

• Apply your expertise to improve feature detection and localization in 2D imagery and 3D point cloud data.

• Work collaboratively within a team of engineers, contributing to a culture of innovation and knowledge sharing.

• Mentor and guide junior team members, fostering an environment of growth and learning

Education Requirements:

• Bachelor’s degree in interaction design or related field

Experience Requirements:

• 3-4 years of experience with product design for web based applications or similar experience.

• Proficiency with creating wireframes and high-fidelity prototypes within Figma.

• Excellent communication and collaboration skills, with a proven track record of working effectively in dynamic, cross-functional teams.

• Experience in conducting user research including interviewing, contextual inquiry, usability testing, etc.

• An online portfolio that demonstrates your design abilities, how you think, and a strong understanding of stakeholder objectives

Other Requirements:

• Experience designing workflows for 3D, ideally geospatial or CAD applications.

• Thrive in a dynamic environment with evolving challenges and a broad range of responsibilities

Responsibilities:

• Lead end-to-end design initiatives that help us deliver cutting-edge capabilities and experiences for automated map production and validation.

• Create designs for efficiently interacting with detailed 3D geospatial vector data, and managing large scale datasets.

• Cross-functional collaboration with product management, engineering, and other key stakeholders to identify requirements, make plans, build and iterate on designs.

• Plan and conduct user research to inspire and validate designs.

• Develop personas, user journeys, wireframes and visual designs. Own and maintain design systems