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Summary
As a primary architect of our financial systems, you will bridge the gap between sophisticated technical design and global business strategy to build a leading-edge digital ecosystem. This role offers the unique challenge of designing our next phase of automation, analytics, and AI in our business processes.
This is a high-impact opportunity to lead the evolution of our finance tech stack, ensuring our data and infrastructure empower the Wikimedia Foundation’s operations so that we can meet our vision of helping every human being freely share in the sum of all knowledge.
You are responsible for:
Skills and Experience:
Leadership and Collaboration
Technical and Architectural
Qualities that are important to us:
The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive.
The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.
As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.
The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$136,760 to US$210,769 with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.
*Please note that we are currently able to hire in the following:
US States: Arizona, California, Colorado, Connecticut, District of Columbia*, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico*, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin and Wyoming (*US Territory or Federal District)
Countries: Brazil, Canada, Colombia, France, Germany, Ghana, India, Indonesia, Italy, Kenya*, Mexico, Morocco, Netherlands, Poland, Singapore*, South Africa, Spain, Switzerland and the United Kingdom. Our non-US employees are hired through a local third party Employer of Record (EOR) and must have current work authorization in their location. (*citizens/permanent residents only)
We periodically review this list to streamline to ensure alignment with our hiring requirements.
All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.
If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.
More information
What does the Wikimedia Foundation do?
What makes Wikipedia different from social media platforms?
News from across the Wikimedia movement
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What We Do:
At Autura, we’re revolutionizing the towing and recovery industry with cutting-edge software that makes a real difference for our customers. From towing service providers to local governments, our tools—like Towing Management Systems, ARIES Dispatch, and Impound solutions—are designed to simplify operations, boost safety, and drive success. Joining Autura means being part of a team that’s passionate about innovation, collaboration, and making the world a little safer and smarter every day. Ready to help us pave the way?
About the Role
Autura runs critical customer data across several platforms -- Salesforce, NetSuite, Zendesk, and ThoughtSpot -- and right now those systems don't talk to each other. That’s the challenge this internship is built around.
As a Data Analytics Intern, you'll work directly with our team to help stitch that data together into a unified view. That means hands-on work in Snowflake as our data warehouse and ThoughtSpot for reporting, alongside the analysis and project coordination needed to get this off the ground. You'll be a real contributor to a meaningful initiative, not just pulling reports in the background.
This is a good fit if you've had some exposure to working across multiple data systems, enjoy figuring out how disparate pieces connect, and want to build something you can point to when you're done.
This role is a temporary remote internship reporting directly up to our CFO. We are open to 20-40 hours per week for the summer or as a COOP for 6 months.
What You'll Be Doing
About You
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About the role
As a Data Analyst at Sporty, you’ll be mining through petabytes of data to provide key insights that drive core business decisions. You’ll create dashboards that are used on a daily basis by product managers, traders, and executives, as well as provide in-depth reports on various areas of the business with complete freedom on your methodology.
Furthermore, our analysts play a key role in ensuring the stability of our reporting infrastructure. They are vital in maintaining our ability to deliver accurate and consistent reporting to the various stakeholders.
Our Stack
What you'll be doing
What you'll bring
Even better if you have
What’s in it for you
Interview Process
If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.
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Evoplay is one of the leading iGaming providers, recognized for its innovative approach to game development and technological solutions. The key to this success is the teamwork of like-minded people who are passionate about a common goal and love games.
Our mission is to surprise not only the iGaming market but the entire entertainment industry with our interesting and unique products. Our game portfolio of 150+ titles, where each is a unique and exciting story, is presented all over the world, including Europe, Latin America, Asia, and the CIS.
We are looking for a strong specialist who goes beyond data processing — someone who understands the business behind the data and can influence decisions through analytics. This role requires autonomy, fast learning, and full ownership of data quality and analytical outputs.
Requirements
Nice to Have
Responsibilities
What we offer
If you are ready to work in a dynamic team, passionate about the product, technology, and the world of entertainment, we’re waiting for your CV and portfolio to schedule an online/offline meeting and get to know each other better!
Your CV will be carefully reviewed by our TA department, and if it meets the requirements of the position, we will contact you within 3 business days to discuss the possibility of scheduling an interview.
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We’re looking for a Product Manager, Growth & Analytics to join the Beeper team. You’ll own product execution for our growth initiatives, working directly with Beeper’s leadership team to figure out what makes users stick, what blocks them, and what makes them pay … and then do something about it.
Your instinct is to scope before you build, measure after you ship, and make sure every product has a clear answer at the end. You’re not the kind of PM who waits for someone else to pull the data. You write your own SQL, build your own dashboards, and use what you find to make better decisions. That analytical depth is what sets you apart.
In this role you will:
You’ll do well in this role if you:
It will help if you:
Bonus points if you’ve worked on a distributed team or at a startup where you had to be scrappy and self-directed. For this role, overlap with North American time zones (Eastern preferred) is important, so you can work closely with the leadership team. This is a mid-level IC role with high-ownership expectations: the leadership team will rely on your work to know whether our strategy is working.
Salary range: $120,000-$190,000 USD. Please note that salary ranges are global, regardless of location, and we pay in local currency.
We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated.
This isn’t your typical work-from-home job—we are a fully-remote company with an open vacation policy. Read more about our compensation philosophy. To see a full list of benefits by country, consult our Benefits Page. And check out these links to learn more about How We Hire and What We Expect from Ourselves. #LI-DNI
About Automattic
Now in our 20th year, we’re the people behind WordPress.com, WooCommerce, Beeper, Tumblr, Simplenote, Jetpack, Longreads, Day One, PocketCasts, and more. We believe in making the web a better place.
We’re a distributed company with more than 1500 Automatticians in nearly every corner of the globe, speaking over a hundred different languages. Enriched by this diversity, we’re united by a singular mission: to democratize publishing, commerce, and messaging so anyone with a story can tell it, anyone with a product can sell it, and everyone can manage their communications from a single source. In short, we help maintain a balance in society, creating and continually refining powerful tools people can use to compete fairly—regardless of income, gender, politics, language, or where they live in the world.
We believe in Open Source, and the vast majority of our work is available under the GPL. Automattic is a Most Loved Company, an Equal Opportunity employer, and Disability Confident Committed. (Here’s what that might mean for you.) If you need disability-related accommodations during the application or interview process, please fill out this form. We are committed to ensuring an accessible hiring process for all candidates. Learn more about our Employee Resource Groups.
You can track your application status and more at MyGreenhouse.
To learn about how we handle your data, please review our Privacy Policy.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. View the “Know Your Rights: Workplace Discrimination is Illegal” poster here. Automattic participates in the E-Verify program in certain locations, as required by law.
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Bridgeway is seeking a Senior Data Engineer to design, develop, and maintain our data warehouse infrastructure. This role involves working closely with analysts, engineers, and other stakeholders to shape our data architecture, ensuring secure and efficient data pipelines, and enabling advanced analytics across the organization. The ideal candidate will have a strong background in data engineering, data warehousing, and ELT processes, along with a passion for optimizing data systems.
This is a remote position, with preference given to East Coast candidates.
Key Responsibilities:
Requirements:
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Transforme sua carreira com o iFood! Somos uma empresa brasileira de tecnologia referência na América Latina. Por meio de soluções inovadoras, conectamos milhares de restaurantes a milhões de consumidores diariamente com uma média de 100 milhões de pedidos mensais. Além do delivery de comida, também somos Mercado, Farmácia e Pet. Temos também o iFood Pago, nossa Fintech, que engloba o iFood Benefícios, o vale alimentação e refeição do iFood e o próprio iFood Pago, o banco do restaurante. Junte-se a nós e faça parte de uma equipe que está sempre à frente com tecnologia de ponta e inovação constante.
Buscamos uma pessoa apaixonada por tecnologia e dados, que esteja sempre em busca de novos aprendizados e que goste de desafios. Se você se identifica com este perfil, adoraríamos conhecer você!
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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?
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Iovance Biotherapeutics aims to be the global leader in innovating, developing and delivering tumor infiltrating lymphocyte (TIL) therapy for people with cancer. We are pioneering a transformational approach to treating cancer by harnessing the ability of the human immune system to recognize and attack diverse cancer cells in each patient. The Iovance TIL platform has demonstrated promising clinical data across multiple solid tumors. We are committed to continuous innovation in cell therapy, including gene-edited cell therapy, which may be a promising option for patients with cancer.
Overview
The Sr. Manager, Protein Sciences (Upstream) is an experienced manufacturing and processing subject matter expert responsible for managing Iovance’s GMP manufacturing operations and contracted manufacturing operations centered on protein production and characterization, with a focus on upstream process. S/He will actively collaborate with Process Development, Analytical Development, Manufacturing, Quality Control, Quality, Supply Chain, and Regulatory functions, with a focus on ex-US manufacturing operations.
This position will report to the head of Protein Sciences, and involves planning, coordinating, and overseeing contract manufacturing and development services for Iovance products through the product life cycle. Activities requiring oversight include process development, transfer, scaleup, validation, improvements (COGS), and studies supporting technical changes/improvements. This position will also provide necessary leadership to support CMC product teams and/or lead subteams, manage technical information/data flows, manage project milestones, support audits, and assist in qualification, validation, and regulatory filing activities. Additionally, this position will be responsible for manufacturing data management for selected clinical/commercial products.
Responsibilities
Required Experience
The physical demands described here represent those that an employee must meet to perform the essential functions of this job successfully. Reasonable accommodations may be made upon request to enable individuals to perform essential functions. Please contact Human Resources to request an accommodation.
Physical Demands and Activities Required
Mental
Work Environment
#LI-onsite
The annual base salary we reasonably expect to pay is listed. Individual pay decisions depend on various factors, such as primary work location, complexity and responsibility of the role, job duties/requirements, and relevant education, experience and skills.
The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time.
Iovance is committed to cultivating and offering a diverse and inclusive work environment. As an equal-opportunity employer, our employees and applicants will be considered without regard to an individual’s race, color, religion, sex, pregnancy, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, military and veteran status, and any other characteristic protected by applicable law. If you need assistance or accommodation to apply to one of our opportunities, please contact careers@iovance.com.
By voluntarily providing information and clicking “Submit Application”, you explicitly consent to the collection and use of your personal information for the purposes described above and in our Candidate Privacy Notice.
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Iovance Biotherapeutics aims to be the global leader in innovating, developing and delivering tumor infiltrating lymphocyte (TIL) therapy for people with cancer. We are pioneering a transformational approach to treating cancer by harnessing the ability of the human immune system to recognize and attack diverse cancer cells in each patient. The Iovance TIL platform has demonstrated promising clinical data across multiple solid tumors. We are committed to continuous innovation in cell therapy, including gene-edited cell therapy, which may be a promising option for patients with cancer.
Overview
The Sr. Manager, Protein Sciences (Downstream) is an experienced manufacturing and processing subject matter expert responsible for managing Iovance’s GMP manufacturing operations and contracted manufacturing operations centered on protein production and characterization, with a focus on downstream process, including drug product formulation, fill, and lyophilization. S/He will actively collaborate with Process Development, Analytical Development, Manufacturing, Quality Control, Quality, Supply Chain, and Regulatory functions, with a focus on ex-US manufacturing operations.
This position will report to the head of Protein Sciences, and involves planning, coordinating, and overseeing contract manufacturing and development services for Iovance products through the product life cycle. Oversight includes process development, transfer, scaleup, validation, improvements (COGS), and studies supporting technical changes/improvements. This position will also provide necessary leadership to support CMC product teams and/or lead subteams, manage technical information/data flows, manage project milestones, support audits, and assist in qualification, validation, and regulatory filing activities. Additionally, this position will be responsible for manufacturing data management for selected clinical/commercial products.
Responsibilities
Required Experience
The physical demands described here represent those that an employee must meet to perform the essential functions of this job successfully. Reasonable accommodations may be made upon request to enable individuals to perform essential functions. Please contact Human Resources to request an accommodation.
Physical Demands and Activities Required
Mental
Work Environment
#LI-onsite
The annual base salary we reasonably expect to pay is listed. Individual pay decisions depend on various factors, such as primary work location, complexity and responsibility of the role, job duties/requirements, and relevant education, experience and skills.
The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time.
Iovance is committed to cultivating and offering a diverse and inclusive work environment. As an equal-opportunity employer, our employees and applicants will be considered without regard to an individual’s race, color, religion, sex, pregnancy, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, military and veteran status, and any other characteristic protected by applicable law. If you need assistance or accommodation to apply to one of our opportunities, please contact careers@iovance.com.
By voluntarily providing information and clicking “Submit Application”, you explicitly consent to the collection and use of your personal information for the purposes described above and in our Candidate Privacy Notice.
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Who we are
Recharge is the subscription platform for the world’s fastest-growing and most innovative brands. Shopify’s premier subscription solution, Recharge is on a mission to build the future of commerce around customer retention.
Known for its relentless product innovation and focus on ease of use, Recharge helps merchants deliver seamless customer experiences that drive customer retention and revenue growth. The Recharge platform leverages data from over 100 million shoppers to help brands more successfully set up, manage, and grow their subscription businesses.
Recharge is a hands-on partner to over 20,000 brands globally — including quip, Dr. Squatch, Blueland, Estrid, Oats Overnight, Bobbie, and more.
Learn more at: getrecharge.com
Overview
The centralized Data and Analytics team at Recharge delivers critical analytic capabilities and insights for Recharge’s business and customers.
As a Senior Data Engineer, you will build scalable data pipelines and infrastructure that power internal business analytics and customer-facing data products. Your work will empower data analysts to derive deeper strategic insights from our data, and will enable developers to build applications that surface data insights directly to our merchants.
What you’ll do
What you’ll bring
Interview recording & AI notetakers
To protect privacy, legal compliance, and interviewer/candidate experience, recording, transcribing, or using AI notetaker tools during interviews is not permitted without our prior written consent. Handwritten notes are welcome. If you need an accommodation (e.g., captions), email recruiting@getrecharge.com before your interview—we’ll arrange an approved solution.
Compensation
Recharge’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. Salary ranges are designed to be competitive and aligned with country specific practices, while individual compensation is determined by skills, qualifications, and experience. The compensation listed is not inclusive of any equity and benefits that might exist in your total compensation package.
Application window anticipated to close: 6/1/2025. If you’re interested in this opportunity, please submit an application as soon as possible.
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Recharge Payments is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age. Recharge Payments prohibits any form of workplace harassment.
This link leads to the Anthem Blue Cross machine-readable files that are made available in response to the federal Transparency in Coverage Rule and includes network negotiated rates for all items and services; allowed amounts for OON items, services and prescription drugs; and negotiated rates and historical prices for network prescription drugs (delayed). EIN 80-6245138. This link leads to the Kaiser machine-readable files.
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Team: Revenue Operations
Reports to: Chief Revenue Officer
Location: Remote
Type: Full-time
The Role
You'll be Product Owner across three surfaces:
You own the roadmap, backlog, specs, and outcomes with a simple goal in view - to grow revenue.
We want a disruptor. Someone who sees a 14-step nurture sequence and asks why an agent isn't running it. Someone comfortable in a product review with engineers and a funnel economics conversation with the CEO.
What You'll Do 🛠
CRM
Partner Product
Revenue org Enablement & AI
Always
Must-haves
Bonus points for
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Mammoth 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?
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Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.
As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.
Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.
What your day will look like
What we are looking for in you
Additional skills that would be nice to have
The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
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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.
We’re looking for an ambitious AI Engineer to transform how our go-to-market team operates. San Francisco, Austin, or Lisbon are preferred locations where you can collaborate with team members, but the position is remote or hybrid.
As the founding GTM engineer, you will architect and build the AI-powered systems that power our entire GTM motion, owning the technology stack, partnering with stakeholders to define the workflows, deploying AI agents and apps, and continuously improving how the company acquires, activates, and grows customers.
This is a highly hands-on role for someone who enjoys shipping systems, experimenting rapidly, and solving messy real-world problems with software.
This role is a force multiplier for the entire company. You’ll build the infrastructure that allows the GTM team to move faster, learn faster, and scale without proportional headcount. You’ll help us:
Design and deploy AI-driven workflows and agents that augment GTM teams.
Examples include:
You’ll continuously improve these systems using real performance data and feedback loops.
Build the infrastructure that allows the GTM team to learn quickly and iterate with confidence.
Create tight feedback loops between users, product signals, and GTM actions.
This is fundamentally an engineering role, not traditional GTM operations. We’re looking for someone who enjoys building systems, not managing tools.
Ready to apply?
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Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, including Maersk, Amazon, Regeneron, NetApp, and S&P Global. Customers rely on Dremio for cloud, hybrid, and on-prem lakehouses to power their data mesh, data warehouse migration, data virtualization, and unified data access use cases. Based on open source technologies, including Apache Iceberg and Apache Arrow, Dremio provides an open lakehouse architecture enabling the fastest time to insight and platform flexibility at a fraction of the cost. Learn more at www.dremio.com.
Thank you for your interest in Dremio! If you've found yourself here, we're guessing that means you may not have found your perfect match in our currently available opportunities just yet. That's okay! Let's keep in touch for opportunities to make waves together in the future. Let us know what areas and/or roles you're interested in and we'll let you know when an opportunity that aligns with your interests and professional experience is available.
At Dremio, we hold ourselves to high standards when it comes to People, Thinking, and Action. Our Gnarlies (that's what we call our employees) communicate with clarity, drive accountability, and are respectful towards each other. We confront brutal facts and focus on results while operating with a sense of urgency and building a "flywheel". People who like to jump in and drive momentum will thrive in our #GnarlyLife.
Dremio is an equal opportunity employer supporting workforce diversity. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, protected veteran status, disability status, or any other unlawful factor.
Dremio is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request accommodation due to a disability, please inform your recruiter.
Dremio has policies in place to protect the personal information that employees and applicants disclose to us. Please click here to review the privacy notice.
At Dremio, we uphold trust and transparency as paramount values in all our interactions with customers, partners, employees, and the general public. We have been targeted by individuals creating fake domains similar to ours to scam prospects and candidates. Please note that all official communications from us will be from an @dremio.com domain. If you suspect you've been targeted by a scam, it's imperative to report the incident to your local law enforcement agencies. For more information about this type of scam, please refer to Dremio's official statement here.
Dremio is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
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