Benefits:

• $175,000 base salary

• Equity options

• Remote-first - work anywhere in the US

• Health, vision, and dental insurance

• Unlimited PTO

Experience Requirements:

• 7+ years of experience as a Data Engineer

Other Requirements:

• deep expertise in AWS services (Redshift preferred)

• proficient with Python and have experience working with Kubernetes (K8s)

• comfortable ingesting data from third-party APIs and familiar with modern orchestration tools (e.g., Airflow)

• comfortable with Infrastructure as Code (e.g., Terraform)

• experience mentoring engineers and enjoy sharing your knowledge, particularly in areas like data warehousing, pipelines, and architecture

• product mindset, balancing technical excellence with business needs to deliver scalable solutions

• communicate complex topics clearly, whether you’re writing technical specs or aligning stakeholders around a project plan

Responsibilities:

• Scope and own projects to build, improve, and maintain scalable data ingests and pipelines

• Design and implement solutions that are resilient, well-monitored, and cost-effective

• Lead technical initiatives, working closely with Product Managers and cross-functional teams to develop clear, detailed technical specifications

• Share knowledge with your peers through design and code reviews, fostering a culture of continuous learning

• Stay curious—evaluate emerging technologies and tools to improve efficiency and effectiveness in our engineering processes

Benefits:

• Base salary + commission plan (50-50 OTE split)

• Remote-first - work anywhere in the US

• Health, vision, and dental insurance

• Unlimited PTO

• 10 Paid Holidays

Experience Requirements:

• 3+ years of experience as an account executive in SaaS sales

• experience navigating six to seven figure ACV sales processes with large, complex customer prospects

• experience working in early-stage startups and are comfortable navigating ambiguity

Other Requirements:

• entrepreneurial, proactive, and thrive in a fast-paced, high-growth environment

• top performer in your current role, with strong communication skills and a consultative sales approach

• technical curiosity to learn and explain complex concepts, such as how we pixel a site or the basics of a data warehouse implementation

• team-first mindset and are eager to help others succeed while simultaneously driving your own results

Responsibilities:

• Own the sales cycle end-to-end: qualify opportunities, run product demos, negotiate terms, and close enterprise level deals

• Work both inbound leads generated by the SDR team and self-sourced opportunities

• Apply a consultative approach to uncover customer needs and provide tailored solutions, particularly in large, complex organizations with multiple layers of stakeholders involved

• Efficiently manage a pipeline of prospective customers, ensuring accurate sales forecasting

• Achieve and exceed ambitious monthly quotas, demonstrating consistent performance

Benefits:

• Healthcare (medical & dental)

• Unlimited PTO

• Equity compensation

Education Requirements:

• 4-year degree from top university

Experience Requirements:

• 1-3 years of experience in investment banking, consulting, or operations at early-stage startups

Other Requirements:

• Early evidence of exceptionalism

• High aptitude & strong work-ethic

• Great interpersonal and communication skills

• Strong, genuine interest in public safety and Aurelian’s work

• Growth mindset

Responsibilities:

• Take business objectives, break them down into constituent parts and execute

• Own and manage complex cross-functional projects

• Research and solve ‘green’ problems that are new to Aurelian

Benefits:

• Medical, dental & vision insurance coverage

• Unlimited PTO

• WFH stipend for home office

• Relocation stipend

Experience Requirements:

• 3+ years of work experience

Other Requirements:

• Dedication to your craft and a willingness to get your hands dirty

• Track record shipping

• Strong technical skills; experience with React, Python, containerized applications, and Azure is a plus

• Strong interpersonal skills and ability to communicate deeply technical information simply

Responsibilities:

• Design, develop, and ship features that make our product better and more complete

• Work closely with our largest customers to problem-solve technical hurdles

• Help customize and integrate our software to best match our customers’ needs

Benefits:

• Competitive salary package and bonus or variable incentive pay depending on role

• Comprehensive medical, dental, vision and life insurance benefits

• Unlimited PTO

• Paid parental leave for eligible employees

• 401(k) match

Education Requirements:

• Bachelor’s degree in business or science with PMP designation preferred

• MBA preferred

Experience Requirements:

• Minimum of 8 years of previous operations experience in a similar roles

• 8+ years’ experience in project management, analytical problem-solving capabilities, previous operational excellence experience and a demonstrated track record of implementing operational improvements

• Experience in fast paced, SaaS companies working with international teams and reports including US, India and Europe

Other Requirements:

• Demonstrated experience managing and leading Sales, Marketing, Customer Success, Business Operations teams and Finance/FP&A teams

• Demonstrated experience and success managing metrics and KPIs in these operation functions, including pipeline generation, conversion rates and win-loss analysis

• Strategic Thinking

• Leadership and Communication

• Results-Oriented

• Industry Knowledge

Responsibilities:

• Drive cross-functional management of Sales, Marketing, Customer Success, Business Operations teams and Finance/FP&A teams

• Institute and drive programs, projects and processes

• Develop, track and improve analytics, metrics, objectives and goals

• Foster a collaborative, high-performance culture, encouraging teamwork and professional growth

• Sales Operations

Education Requirements:

• Bachelor's degree in Computer Science or a related field is required; a master's degree is a plus

Experience Requirements:

• Proven management experience in leading DevOps teams

• Expert knowledge of microservices architecture and design

• Extensive experience with Kubernetes (AWS EKS preferred) and AWS ECS

• Expert-level experience with AWS cloud services

• Hands-on experience with ISO 27001 / SOC2 compliance and audit initiatives

Other Requirements:

• Proficient in Linux systems and internals

• Experience in high-availability environments with a focus on scalability and resilience

• 8+ years of experience in setting up and maintaining cloud environments

• Strong experience with both SQL and NoSQL database management

• US Citizen only for this role

Responsibilities:

• Manage a team of talented DevOps engineers

• Lead the design and implementation of elastically scalable infrastructure solutions

• Define, enforce, and continuously improve stringent security standards across all systems

• Design systems for business continuity, ensuring resilience and disaster recovery capabilities

• Implement and maintain robust monitoring, metrics, and alert systems to ensure high availability

Education Requirements:

• Bachelor's degree in Computer Science or a related field is required; a master's degree is a plus

Experience Requirements:

• Expert knowledge of microservices architecture and design

• Extensive experience with Kubernetes (AWS EKS preferred) and AWS ECS

• Strong experience with both SQL and NoSQL database management

• Expert-level experience with AWS cloud services

• Hands-on experience with ISO 27001 / SOC2 compliance and audit initiatives

Other Requirements:

• Proficient in Linux systems and internals

• Experience in high-availability environments with a focus on scalability and resilience

• 6+ years of experience in setting up and maintaining cloud environments

• Proficient in Terraform for infrastructure as code

• US Citizen only for this role

Responsibilities:

• Design and implementation of elastically scalable infrastructure solutions

• Define, enforce, and continuously improve stringent security standards across all systems

• Design systems for business continuity, ensuring resilience and disaster recovery capabilities

• Implement and maintain robust monitoring, metrics, and alert systems to ensure high availability

• Evaluate, recommend, and adopt the most appropriate and up-to-date technologies for the organization

Education Requirements:

• PhD in computer science, applied math, electrical engineering, or similar

Experience Requirements:

• Strong background in computer vision, machine learning and python programming

• Experience with OpenCV, PyTorch and TensorFlow

• Publications in major computer vision conferences

Responsibilities:

• Develop tools and techniques for detecting and segmenting store products in images and videos

• Build automatic checkout systems

Benefits:

• Flexible work environment (flexible hours, remote work, commuting bus)

• Research environment & personal growth (infrastructure, data, equipment, development allowance, book allowance, referral bonus, lunch & snacks)

• Health & welfare (medical expenses, health checkups, psychological counseling, health management)

• Other life support (welfare mall points, condolence money, educational expenses, childcare, entrance gifts, holiday facilities, additional summer vacation)

Responsibilities:

• Market and business analysis

• Market strategy development

• Open innovation initiatives

Education Requirements:

• BS (or higher) in Computer Science or a related field

Experience Requirements:

• 5+ years of experience in production or in high-impact research environments

Other Requirements:

• Production-level experience in Python and C++

• Experience developing machine learning frameworks

• Experience developing GPU kernels

• Experience working with generative AI models such as large language models and diffusion models

• Experience developing machine learning compilers

Responsibilities:

• Developing and optimizing an advanced engine for serving generative AI models, including large language models and diffusion models

Education Requirements:

• Bachelor's degree or higher in Computer Science, or equivalent practical experience

Other Requirements:

• Work experience with UI/UX design, web frontend development

• Work experience with JavaScript, TypeScript

• Experience in frontend development using frameworks (e.g., React, Angular, etc.)

• Experience with unit tests and E2E tests

• Experience in complex asynchronous processing

• Experience with issues and bug tracking systems (e.g., Jira, GitHub, etc.)

• Experience with complex charts and displaying methods including statistics

• Development experience using visualization related frameworks

• Experience in cross-browser support

• Experience in B2B product development

• Experience in MLOps related product development

• Experience in large-scale backend engineering development

• Experience in developing services utilizing various cloud services

• Experience in developing frameworks and services related to Auth, Billing, Monitoring

• Experience in CI / CD

• Experience in startup experience or competence

Responsibilities:

• Developing and deploying MLOps web frontend and backend

• Working closely with AI experts and software engineers to design and implement web-based MLOps tools to support the development, deployment, and monitoring of machine learning models

• Developing user-friendly web interfaces

• Integrating with backend APIs and services

• Ensuring the robustness and scalability of our web platform

Education Requirements:

• BS (or higher) in Computer Science or a related field

Experience Requirements:

• 5+ years of production-level experience in Python and C++

Other Requirements:

• Experience developing large-scale distributed systems

• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes

• Experience working on a PaaS/SaaS platform or with Service-Oriented Architectures

• Experience with security and systems that handle sensitive data

Responsibilities:

• Building and operating products and infrastructure for serving generative AI at scale

• Building scalable and reliable services that run on GPUs across geographic regions and cloud providers

• Building products that operate on Docker and Kubernetes

• Building products and infrastructure at the intersection of distributed systems and machine learning

• Building tools to operate services for reliability and scalability

Education Requirements:

• Bachelor's degree in Marketing, Computer Science, or a related field

Experience Requirements:

• 5-7 years of proven experience in B2B tech marketing, with a strong focus on engineer-focused initiatives

Other Requirements:

• Demonstrated success in developing and executing marketing strategies that drive tangible results within the AI/ML engineering ecosystem, and experience in developing targeted campaigns that resonate with technical audiences

• Excellent written and verbal communication skills, with the ability to craft compelling messaging for technical products and translate complex concepts into easily digestible content

• Proficiency in digital marketing channels relevant to engineers, including technical SEO/SEM, paid advertising platforms, and engineer-focused communities

• Strong analytical skills with the ability to interpret data and make data-driven decisions

• Highly adaptable and able to thrive in a fast-paced, dynamic startup environment

Responsibilities:

• Developing and implementing comprehensive marketing strategies across digital channels, events, social media, and content marketing to reach and resonate with AI/ML engineers

• Creating and refining product positioning and messaging that speaks directly to the needs and aspirations of our target audience

• Creating high-impact marketing collateral (e.g., technical blog posts, tutorials, documentation, sample code) that showcases the value and capabilities of our platform to engineers

• Developing compelling customer success stories, case studies, and demos that highlight how engineers are leveraging our technology to build innovative AI/ML solutions

• Designing and executing scalable demand generation systems, including targeted digital campaigns, paid advertising, and SEO/SEM, optimized for AI/ML engineering communities

Other Requirements:

• Native-level English writing skills, with the ability to produce clear and concise technical content

• Ability to understand and communicate technical information in an accessible way

• Basic knowledge of computer science, software, or IT infrastructure

• Interest or experience in AI (especially generative AI) and IT B2B SaaS

• Experience creating and sharing technical content

• User-centered documentation experience

• Passion for writing and simplifying complex information

Responsibilities:

• Writing and publishing English-language content such as technical blogs showcasing FriendliAI's technology and services

• Creating and maintaining product manuals, user guides, and other documentation to help users successfully navigate our products

• Simplifying complex technical topics into clear, concise content for a non-technical audience

• Drafting press releases and partner communications to promote FriendliAI's mission and brand

Benefits:

• Competitive salary, stock options and salary raise

• 1 fully paid international conference each year

• Generous time & paid vacation

• Amazing location and fun workplace

• Gym club & public transportation

Experience Requirements:

• Strong sense of details and ability to be in the user shoes.

• Strong technical background and experience building high quality UX/UI products.

• Excellent knowledge of modern javascript (ES6) and tooling environment (npm, babel, webpack ).

• Team player and “get-the-job” done attitude, outgoing and curious.

• Experience working with modern front end frameworks (React,Redux, Angular, ...).

Other Requirements:

• Experience integrating design mockups using CSS3 frameworks (Bootstrap, Bulma, ...).

• Experience working on and managing real time applications (WebSockets)

• Desire to learn about deep learning technology.

Benefits:

• Competitive salary, stock options and salary raise

• 1 fully paid international conference each year

• Generous time & paid vacation

• Amazing location and fun workplace

• Gym club & public transportation

Experience Requirements:

• 1-2 years proven experience in Customer Success in a B2B/B2C Saas company.

• Deep understanding of SaaS products and services.

• A track record of hitting or overachieving sales goals.

• Excellent communications skills (English & French).

• Entrepreneurial or startup experience is a plus.

Other Requirements:

• Desire to learn about deep learning technology.

Benefits:

• Competitive salary, stock options and salary raise

• 1 fully paid international conference each year

• Generous time & paid vacation

• Amazing location and fun workplace

• Gym club & public transportation

Experience Requirements:

• 1-2 years proven experience in online marketing and customer acquisition, ideally in a B2B/B2C Saas company.

• Experience with online marketing softwares and funnel optimization tools.

• Data oriented mind and ability to set up an extremely efficient customer acquisition process.

• Desire to learn about deep learning technology.

Benefits:

• Competitive salary, stock options and salary raise

• 1 fully paid international conference each year

• Generous time & paid vacation

• Amazing location and fun workplace

• Gym club & public transportation

Experience Requirements:

• 4+ years of practical experience on a full-stack, scalable, cloud-based systems in a fast-moving, iterative environment

• Desire to learn about deep learning technology

Benefits:

• Competitive salary, stock options and salary raise

• 1 fully paid international conference each year

• Generous time & paid vacation

• Amazing location and fun workplace

• Gym club & public transportation

Education Requirements:

• Extensive experience or academic records (Msc. or PhD in research area )

Experience Requirements:

• Desire to learn about deep learning technology

Benefits:

• Competitive salary, stock options and salary raise

• 1 fully paid international conference each year

• Generous time & paid vacation

• Amazing location and fun workplace

• Gym club & public transportation

Experience Requirements:

• 4+ years of practical experience or proven track record (projects, papers : ideally at ICML, ACL, EMNLP, TACL, CVPR, ICCV, or NIPS.) on Deep Learning