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Why Mozilla?
Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people.
The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.
About this team and role:
Mozilla is looking for an Incident Responder to monitor and mitigate attacks across Mozilla’s products and services. In this position, you will be a part of a flexible team responsible for handling security incidents. As such, you’ll need to have years of practical security experience and knowledge of the state of the art for detecting and responding to attacks. You’ll be someone Mozillians across the company depend on and trust to respond quickly and effectively in a crunch, with the outstanding communication and collaboration skills needed to work in partnership with diverse stakeholders. Most importantly, you will become a critical member of the team responsible for ensuring the integrity of Mozilla’s products and for keeping Mozilla’s users safe, within a company dedicated to building a more secure internet.
What you’ll do:
What you’ll bring:
Competencies
What you’ll get:
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: C
#LI-DNI
Req ID: R2954
Ready to apply?
Apply to Mozilla
About the Role
We are seeking GTM Engineering interns to join our team for 6-12 months, with the opportunity to become a full-time team member afterwards pending performance. Interns will work closely with our GTM team on automating workflows and designing demos for client prospects. Interns will have an opportunity to work with cutting-edge AI technology and to be part of a dynamic and innovative team.
What you will be working on Weekly Basis
Requirement for the Role
Nice to Have's
What Safari AI Offers
Why bet on Computer Vision and Safari AI?
Ready to apply?
Apply to Safari AIMammoth Growth is a modern data analytics consultancy. We use our unique combination of agnostic tools expertise and data-driven decision making to help our clients grow and thrive in an ever-changing marketplace. We are world-class business consultants who optimize systems to deliver measurable business outcomes. We have completed 850+ engagements with clients in all areas - e-commerce, SaaS, media, D2C, B2B - from start-ups to enterprise. Mammoth is trusted by industry leaders from Dropbox to Calendly to verify their data, manage their reporting infrastructure, develop growth strategy and provide recommendations and insights that achieve measurable results.
Ready to architect the future of data? We'd love to hear from you.
Why This Role is Different
Here at Mammoth Growth, we’re going beyond just building data pipelines, we're pioneering the future of AI-enhanced analytics engineering. Our team has developed custom workflows that combine our decade of best practices with cutting-edge AI capabilities. We've built a team, toolset and workflow that utilizes the best AI models to accelerate delivery while maintaining the quality standards we're known for.
As a Technical Architect, you'll be at the forefront of this transformation, working with our AI-enhanced tooling while guiding clients through complex data challenges. You'll define architecture, code hand in hand with agents, review code, and deliver solutions that exceed industry standards.
You will be immersing yourself in a contemporary data stack environment. While familiarity with tools like dbt, Snowflake, and BigQuery are vital, your ability to draw from broad experiences will be paramount.
What You’ll Do:
Technical Leadership
Create Solutions
Hands On Execution
What You’ll Need:
Qualities:
We love working with people who like to laugh, smile and joke around.
We provide rapid career advancement, exposure to a huge range of business challenges, amazing clients and competitive compensation.
We are 100% Remote. Our team is fully distributed (before Covid and forever), allowing you the flexibility of working from home. At this time, we are unable to provide sponsorship. Must be a resident or green card holder of the U.S.,U.K. or Canada.
So, what are you waiting for?
Ready to apply?
Apply to Mammoth Growth
The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.
Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.
This is a product-engineering role: not “build what you’re told,” but shape what we build—own the problem, propose solutions, and ship outcomes that matter to users and the business.
We’re hiring a Senior Backend Engineer with product vision. You’ll design and operate services in Python/Django that power labeling and evaluation workflows at scale: clean API contracts, robust data models, efficient background jobs, and dependable performance. You’ll partner early with PM/Design/FE to frame problems, prototype to learn, and make pragmatic scope calls—so complex workflows feel simple, reliable, and fast for users.
Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis.
Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support.
At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues.
After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows.
At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.
It’s an exciting time at HumanSignal. We’re growing quickly, and roles evolve as we learn. We’ve put thought into your first initiatives, but we’ll refine them together. If this sounds exciting, come build with us.
Ready to apply?
Apply to HumanSignal
The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.
Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.
This is a product-engineering role: not “build what you’re told,” but shape what we build—own the problem, propose solutions, and ship outcomes that matter to users and the business.
We’re hiring a Senior Frontend Engineer with product vision. You’ll lead with craft—shipping fast, accessible UX in React/TypeScript—and partner early with PM/Design to frame problems, prototype to learn, and make pragmatic scope calls. You care about clarity, performance, and simplicity in complex, data-heavy workflows—so the result feels simple, performant, and trustworthy.
Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis.
Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support.
At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues.
After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows.
At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.
It is an exciting time at HumanSignal, we are a growing startup and at this stage we are constantly evolving. While we have put a lot of thought into your first and most important initiatives, it’s only an example and something we will work on together. We're always learning and growing, so like us this role will evolve and expand. We hope that this opportunity sounds exciting to you and that you consider joining us on our journey!
Ready to apply?
Apply to HumanSignal
The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.
Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.
This is a product-engineering role: not “build what you’re told,” but shape what we build—own the problem, propose solutions, and ship outcomes that matter to users and the business.
We’re hiring a Senior Full-Stack Engineer with product vision. You’ll build end-to-end features across React/TypeScript and Python/Django, shaping APIs, data models, and background jobs while keeping UIs fast, accessible, and trustworthy. You’ll partner early with PM/Design to frame problems, prototype to learn, and make pragmatic scope calls—so complex, data-heavy workflows feel simple, performant, and reliable.
Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis.
Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support.
At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues.
After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows.
At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.
It’s an exciting time at HumanSignal. We’re growing quickly, and roles evolve as we learn. We’ve put thought into your first initiatives, but we’ll refine them together. If this sounds exciting, come build with us.
Ready to apply?
Apply to HumanSignal
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