AI Jobs

Benefits:

• Competitive compensation with multiple accelerators

• 100% Employer-paid medical

• Flexible paid time off

• Relocation Bonus

• Daily team breakfast and dinner

Experience Requirements:

• A minimum of 2-3 years of experience in B2B technical sales

• Successful track record of self-sourced accounts

• SDR experience prior to AE is highly preferred

• Proficiency with ZoomInfo and HubSpot

Other Requirements:

• Hunter mindset

• Exceptional written and verbal communication in English

• Ability to work in an onsite environment

Responsibilities:

• Own the full sales cycle for net new accounts

• Consistently achieve revenue targets

• Identify growth opportunities and generate leads

• Heavy outreach through cold calls and email sequences

• Deliver compelling demos to prospects

Benefits:

• 100% Employer-paid medical, dental, vision

• Paid time off and 9 paid holidays

• 401(k) (Traditional and Roth)

• Relocation Bonus

• Latest Apple tech

Education Requirements:

• BS in Engineering or demonstrated technical understanding

Experience Requirements:

• Product marketing experience at an early stage technology startup

• Experience working with distributed teams across time zones

• Excellent communication and collaboration skills

Other Requirements:

• Ability to work in an onsite environment

Responsibilities:

• Own product messaging across website, email, and social

• End-to-end ownership of the website

• Analyze competitive landscape and position Coram AI

• Own sales collateral, battle cards, and documentation

• Collaborate with sales leadership on content generation

Benefits:

• 100% Employer-paid medical insurance

• Flexible paid time off

• 401(k) Traditional and Roth options

• Unlimited Cursor and Claude Code credits

• Daily team dinners

Education Requirements:

• BS in Computer Science or Engineering

Experience Requirements:

• 2+ years of Product Management experience

• Early-stage startup experience highly preferred

• Proven ability to deliver on aggressive timelines

• Exceptional communication skills in English

Other Requirements:

• Passion for building at startup speed

• Ability to work onsite

Responsibilities:

• Define and execute the roadmap for video security product line

• Collaborate with engineering and design to ship features

• Identify bugs and proactively suggest improvements

• Partner with Sales to identify product gaps

• Analyze competitive landscape and deal outcomes

Benefits:

• 100% Employer-paid medical, dental, vision

• Flexible paid time off and paid holidays

• 401(k) with Traditional and Roth options

• Equity in a rapidly growing company

• Daily team dinners and regular off-sites

Education Requirements:

• Bachelor’s degree in Finance, Accounting, Business, or a related field from a top-tier university

Experience Requirements:

• 5+ years of experience as a Finance Analyst

• Background in consulting and/or operating in a startup

• Exposure to sales, revenue, or GTM metrics

• Advanced Excel or Google Sheets skills

Other Requirements:

• Resilient in high-pressure settings

• Decision-oriented mindset

• Ability to work onsite

• Experience with BI tools like Looker or Tableau is a plus

Responsibilities:

• Build, maintain, and evolve operating and cash flow models

• Define and own core business and sales KPIs

• Analyze revenue, pipeline, and unit economics

• Partner with leadership on strategic questions

• Build dashboards that leadership actually uses

Benefits:

• Competitive pay

• Meaningful equity

• Offers Equity

Experience Requirements:

• 3+ years of experience writing production infrastructure running on AWS

• Experience with Docker and Kubernetes

• 3+ years of experience with Python, Go or modern language

• Building CI / CD pipelines

• Maintaining observability tools

Other Requirements:

• Edge/IoT infrastructure

• Maintaining SOC 2 compliance

• Building high-volume data-processing pipelines

Responsibilities:

• Writing and maintaining production-grade software code

• Provisioning and maintaining resources running on AWS

• Building management for connected IoT devices

• Building CI and CD automation pipelines

• Maximising developer productivity

Benefits:

• Competitive pay

• Meaningful equity

• Benefits for high-performers

• Offers Equity

Education Requirements:

• Bachelor’s degree in Computer Science, Networking, Cybersecurity, IT, or related field

Experience Requirements:

• Hands-on networking troubleshooting experience in real production environments

• Linux experience with command line and diagnostics

• Clear, structured communication skills

• Strong problem-solving skills

• Ability to work onsite

Other Requirements:

• Basic scripting experience (Bash, Python)

• Familiarity with APIs

• Customer-facing technical experience

• Exposure to security systems or cameras

• Background in cybersecurity

Responsibilities:

• Own frontline technical support via Intercom/email

• Troubleshoot networking, Linux-based devices, and cloud services

• Support customer onboarding and configuration

• Maintain organization across multiple customer threads

• Contribute to documentation and support workflows

Benefits:

• Competitive salary and equity

• Professional development opportunities

• Dynamic and intellectually stimulating work environment

• Opportunities to shape the direction of the company

Experience Requirements:

• 3+ years of experience building Python-based web application backends

• 5+ years of experience designing and developing scalable back-end systems

• Strong proficiency in JavaScript/TypeScript and React

• Hands-on expertise in front-end tooling and libraries

Other Requirements:

• Working knowledge of static code analysis of SQL

• Experience developing and extending VSCode extensions

• Familiarity with AI and machine learning concepts

• Experience with cloud platforms and containerization

Responsibilities:

• Lead backend infrastructure development for LLM architectures

• Build and enhance intuitive interfaces in React

• Develop and maintain VSCode extension

• Design and develop large-scale graph-based data structures

Education Requirements:

• Bachelor's or Master's degree in Computer Science or a related technical field

Experience Requirements:

• 4+ years of professional software engineering or data engineering experience

• Expert proficiency in Python

• Deep, hands-on experience with the modern data stack

Other Requirements:

• Experience in a Forward Deployed, Solutions Architect, or Customer-Focused Engineering role for a B2B SaaS product

• Familiarity with Data Governance, Data Quality, and Data Observability principles

• Strong communication skills

Responsibilities:

• Lead the technical implementation, integration, and optimization of Altimate AI's platform

• Serve as the primary technical point of contact for key accounts

• Develop custom scripts, integrations, and tools using Python

• Troubleshoot, diagnose, and resolve complex technical issues

• Contribute to the core product by identifying common integration patterns

Benefits:

• Competitive salary and equity

• Access to cutting-edge AI infrastructure and resources

• Team offsite

• Learning budget for AI courses, books, and computing resources

• Dynamic and intellectually stimulating work environment

Experience Requirements:

• 7+ years of hands-on ML/AI experience

• At least 1 year of hands-on experience in GenAI/LLM projects

• Track record of successfully deploying ML/AI systems in production

• Experience working with enterprise customers

Other Requirements:

• Experience with vector databases and RAG pipelines

• Experience with observability and monitoring of LLM applications

• Expertise in semantic search and embedding models

Responsibilities:

• Design and implement sophisticated multi-agent systems

• Build and optimize retrieval-augmented generation pipelines

• Implement advanced techniques (LoRA, Prompt Tuning) to adapt models

• Develop and optimize cloud-native architectures

• Implement robust security measures for LLM applications

Benefits:

• Competitive salary and equity

• Access to cutting-edge AI infrastructure and resources

• Team offsite

• Learning budget for AI courses, books, and resources

• Dynamic and intellectually stimulating work environment

Experience Requirements:

• 5+ years of hands-on ML/AI experience

• At least 1 year of hands-on experience in GenAI/LLM projects

• Track record of successfully deploying ML/AI systems in production

• Experience working with enterprise customers

Other Requirements:

• Experience with vector databases and RAG pipelines

• Proficiency in model compression and distillation

• Expertise in semantic search and embedding models

Responsibilities:

• Design and implement sophisticated multi-agent systems

• Build and optimize retrieval-augmented generation pipelines

• Implement advanced techniques (LoRA, Prompt Tuning) to adapt models

• Develop and optimize cloud-native architectures

• Implement robust security measures for LLM applications

Benefits:

• Competitive salary and equity

• Professional development opportunities

• Dynamic and intellectually stimulating work environment

• Opportunities to shape the direction of the company

Experience Requirements:

• 8+ years of experience in Software engineering

• Strong proficiency in Python and SQL

• Extensive experience with SQL query profiling and optimization

• Deep understanding of SQL Abstract Syntax Tree (AST)

• Experience in building data pipelines using Airflow or dbt

Other Requirements:

• Solid understanding of cloud platforms, particularly AWS

• Familiarity with Kubernetes (K8s)

Responsibilities:

• Building highly performant PB scale data pipelines

• Design and implement robust, scalable data infrastructure on AWS

• Design and develop a comprehensive SQL intelligence system

Education Requirements:

• Advanced degree in Computer Science, Electrical Engineering, or a related field

Experience Requirements:

• 10+ years designing and building large-scale distributed systems

• At least 4 years focused on GPU-based cloud infrastructure

• Proven experience enabling large-scale AI training, inference, or computer vision workloads

• Deep understanding of petabyte-scale data architecture

• Technical leadership with a track record of defining architectural strategy

Other Requirements:

• Experience with multi-cloud orchestration

• Familiarity with Ray, Kubernetes, Airflow, or Flyte

• Background in safety-critical or real-time inference use cases

Responsibilities:

• Define and evolve architecture for global compute orchestration across thousands of GPUs

• Design systems for petabyte-scale data federation across geographies

• Build foundations for cross-region GPU job execution in hybrid/multi-cloud environments

• Act as a trusted partner to leadership on compute investments and architecture

• Uplift the engineering org through architectural coaching and mentorship

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

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:

• Experience supporting Executives/C-suites

• Excellent organisational and time management skills across multiple timezones

• Ability to prioritise effectively in a fast-paced environment

• Comfortable working with senior internal and external stakeholders

• Proficient knowledge of Google Drive skills

Other Requirements:

• Strong project management skills for coordinating complex events

• Skilled in handling expenses and budget management

• Experience in organising large-scale company events

Responsibilities:

• Provide comprehensive support across various facets of business operations

• Prioritise tasks effectively to ensure company efficiency

• Build and develop strong relationships with a range of stakeholders

• Handle shifting priorities and formulate contingency plans

• Support executives with a high level of integrity and confidentiality

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:

• 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

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 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