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Location: United States We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Ukraine We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: United Kingdom We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Serbia We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Romania We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Portugal We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Poland We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Netherlands We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Czechia We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Remote (USA) At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo. We’re looking for an outstanding Product Designer to join our team. Who you are You’re a versatile designer who thrives at every stage of the product design lifecycle. You are a skilled presenter who is equally comfortable researching user needs, creating user flows, crafting visuals, building prototypes, and bringing ideas to life. You have a track record of leading high-profile product initiatives to great outcomes for users and businesses alike. You’re a terrific communicator who can help steer cross-functional teams from idea to implementation. You have a demonstrated ability to approach multifaceted problems holistically and create elegant, simple solutions. Above all, you’re a self-starter who thrives in autonomy and can work effectively with little oversight. What you will be doing Work directly with clients, stakeholders, and internal teams to design and build user-friendly digital experiences that align with client goals and user needs. Collaborate closely with clients to understand their needs and define requirements. Test and refine designs to deliver flawless user experiences throughout the entire product lifecycle. Mentor and work with other members of the Livefront product design team. Work with zero-to-one and established design systems to maintain and update style guides, assets, and deliverables. Work with engineers to answer design questions, make adjustments, and provide assets for the design-to-development hand-off process. Work within the production constraints of each platform for which we’re designing and/or engineering. Manage your time across a mix of both small and large projects with overlapping priority and urgency. Organize and maintain working files inside a collaborative file structure. Adopt new practices and tools as our work and the design industry evolves. Proofread copy and fix errors and formatting in design source files and production decks. Note: The above is not meant to be an all-inclusive list of duties and responsibilities, but constitutes a general definition of the position's scope and function within the Livefront design team. Why you should apply You want to work with passionate and talented people who are always looking for ways to make things better. You desire a work environment where respect, mutual trust, and egoless collaboration are paramount. You want colleagues who take their work seriously but not themselves, and who know how to find fun in the work. You like being part of a team with a reputation for excellence that gives back to the community by educating, mentoring, and sponsoring. You want to work on products and accounts that have outsized impact and reach. You believe in sweating the details, committing to quality, and taking pride in going the extra mile. What you bring to the table A standout portfolio showcasing exemplary visual design chops and product sensibilities. At least 3-5 years of relevant experience, ideally in a consulting environment or as part of an in-house, cross-functional product team. Mastery of current UI/UX best practices, as well as modern design tools like Figma, Sketch, Adobe Creative Suite, and various prototyping tools. Experience designing consumer-facing native applications for iOS and/or Android and a fluent command of each platform’s native design communication skills and a strong ability to present and defend creative choices persuasively at varying levels of resolution. Above-average discipline and personal organization skills. Obvious comfort with critique in the context of an iterative design process. Experience producing design decks to communicate design flows to clients and engineers. A demonstrated hunger for personal and professional growth within the field. A self-evident love and care for the craft of product design. Comfort with occasional travel to our HQ in MN. Bonus points if you... Have experience conducting customer research ranging from qualitative data analysis to hands-on usability testing. Have illustration, animation, and/or 3D design chops. Have experience with motion design tools like Adobe After Effects and/or Cinema4D. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to your portfolio. Please note that submissions without a portfolio will not be considered. Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise which you'll have up to a week to complete. Compensation is $90,000 - $135,000 a year. Additional information We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants.

Location: Remote (Costa Rica) At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo. We’re looking for an AI Solutions Engineer to join our team. This is a senior-level position with the opportunity to work remotely in Costa Rica. Who you are You're a thoughtful, creative problem-solving engineer who thrives at the intersection of cutting-edge technology and real-world impact. With deep experience in AI, LLMs, RAG-based architectures, and machine learning, you have an impeccable intuition for turning emerging capabilities into innovative, practical solutions. You’re equally adept at rapidly prototyping ideas in scrappy R&D sprints as you are at shipping robust, scalable code into production. Navigating both architectural design and hands-on implementation comes naturally to you, and you quickly master unfamiliar technologies. You articulate complex technical requirements clearly to internal teams and confidently engage in strategic discussions with client partners. Your engineering principles are mature yet adaptable, shaped by continuous learning, collaboration, and the evolving technological landscape. You're curious and pragmatic, driven by craft to build intelligent systems that are intuitive, performant, and thoughtfully designed. You're passionate about shaping an ethical, innovative, and impactful future for AI. What you will be doing Work closely with clients to understand their business goals around implementing AI technologies, present sustainable and achievable technical solutions, and adjust strategies based on feedback. Guide and mentor engineering teams with your AI expertise, both internally to Livefront and externally with the client, by setting technical standards, conducting code reviews, and contributing to product vision. Engage in technical spikes to explore new technologies and methods. Lead the design of robust architectures tailored to client needs and implement these solutions hands-on, ensuring scalability and maintainability. Design, develop, and integrate APIs, data pipelines, and end-to-end infrastructure that ensure seamless communication between systems. Help optimize performance and enable AI models to be useful, scalable, and maintainable. Adapt your skills across diverse projects, including API design, real-time technical support, and DevOps, demonstrating versatility and responsiveness to varied client needs. Collaborate cross-functionally, streamlining communication between backend teams, frontend teams, designers, and other team members. Why you should apply You want to work with passionate and talented people who are always looking for ways to make things better. You desire a work environment where respect, mutual trust, and egoless collaboration are paramount. You want colleagues who take their work seriously but not themselves, and who know how to find fun in the work. You like being part of a team that has a reputation for excellence and gives back to the community by educating, mentoring, and sponsoring. You want to work on products and accounts that have outsized impact and reach. You believe in sweating the details, committing to quality, and taking pride in going the extra mile. What you bring to the table At least 7-10 years of software engineering experience, preferably in a consulting environment or as part of an in-house, cross-functional product team. Full-stack engineering experience in web or native mobile. Experience with Python/JavaScript, Cloud Infrastructure & DevOps, LLMs & RAG Architecture, and event-driven architectures. Data engineering experience that will enable successful AI implementations. Demonstrated expertise in architecting, building, maintaining, and scaling modern software on various platforms. Experience designing APIs and writing API specifications. Ability to clearly articulate technical requirements to other engineers. A keen sense of security: you're able to think around corners and see potential risks. A talent for communicating directly with clients, managing expectations, and explaining advanced technical concepts and their implications. Excellent communication skills and a strong ability to present and defend technical and architectural choices persuasively. Advanced English proficiency. Exceptional problem-solving skills. Above-average discipline and personal organization skills. A demonstrated hunger for personal and professional growth. A self-evident love and care for the craft of software engineering. Comfort with occasional travel to our HQ in MN. Bonus points if you... Have strong illustration chops as it relates to technical diagramming. Speak, write, and/or educate publicly about technical topics. Have publicly released your own personal, self-started products or apps. Enjoy tinkering with languages and frameworks such as Tensorflow, SciKit Learn, or training machine learning models from scratch. Have experience with advanced prompt engineering techniques. Enjoy tinkering with emerging languages and platforms such as Go, Rust, Alexa, and/or Unity. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Additional information We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants.

Location: Remote (Peru) At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo. We’re looking for an AI Solutions Engineer to join our team. This is a senior-level position with the opportunity to work remotely in Peru. Who you are You're a thoughtful, creative problem-solving engineer who thrives at the intersection of cutting-edge technology and real-world impact. With deep experience in AI, LLMs, RAG-based architectures, and machine learning, you have an impeccable intuition for turning emerging capabilities into innovative, practical solutions. You’re equally adept at rapidly prototyping ideas in scrappy R&D sprints as you are at shipping robust, scalable code into production. Navigating both architectural design and hands-on implementation comes naturally to you, and you quickly master unfamiliar technologies. You articulate complex technical requirements clearly to internal teams and confidently engage in strategic discussions with client partners. Your engineering principles are mature yet adaptable, shaped by continuous learning, collaboration, and the evolving technological landscape. You're curious and pragmatic, driven by craft to build intelligent systems that are intuitive, performant, and thoughtfully designed. You're passionate about shaping an ethical, innovative, and impactful future for AI. What you will be doing Work closely with clients to understand their business goals around implementing AI technologies, present sustainable and achievable technical solutions, and adjust strategies based on feedback. Guide and mentor engineering teams with your AI expertise, both internally to Livefront and externally with the client, by setting technical standards, conducting code reviews, and contributing to product vision. Engage in technical spikes to explore new technologies and methods. Lead the design of robust architectures tailored to client needs and implement these solutions hands-on, ensuring scalability and maintainability. Design, develop, and integrate APIs, data pipelines, and end-to-end infrastructure that ensure seamless communication between systems. Help optimize performance and enable AI models to be useful, scalable, and maintainable. Adapt your skills across diverse projects, including API design, real-time technical support, and DevOps, demonstrating versatility and responsiveness to varied client needs. Collaborate cross-functionally, streamlining communication between backend teams, frontend teams, designers, and other team members. Why you should apply You want to work with passionate and talented people who are always looking for ways to make things better. You desire a work environment where respect, mutual trust, and egoless collaboration are paramount. You want colleagues who take their work seriously but not themselves, and who know how to find fun in the work. You like being part of a team that has a reputation for excellence and gives back to the community by educating, mentoring, and sponsoring. You want to work on products and accounts that have outsized impact and reach. You believe in sweating the details, committing to quality, and taking pride in going the extra mile. What you bring to the table At least 7-10 years of software engineering experience, preferably in a consulting environment or as part of an in-house, cross-functional product team. Full-stack engineering experience in web or native mobile. Experience with Python/JavaScript, Cloud Infrastructure & DevOps, LLMs & RAG Architecture, and event-driven architectures. Data engineering experience that will enable successful AI implementations. Demonstrated expertise in architecting, building, maintaining, and scaling modern software on various platforms. Experience designing APIs and writing API specifications. Ability to clearly articulate technical requirements to other engineers. A keen sense of security: you're able to think around corners and see potential risks. A talent for communicating directly with clients, managing expectations, and explaining advanced technical concepts and their implications. Excellent communication skills and a strong ability to present and defend technical and architectural choices persuasively. Advanced English proficiency. Exceptional problem-solving skills. Above-average discipline and personal organization skills. A demonstrated hunger for personal and professional growth. A self-evident love and care for the craft of software engineering. Comfort with occasional travel to our HQ in MN. Bonus points if you... Have strong illustration chops as it relates to technical diagramming. Speak, write, and/or educate publicly about technical topics. Have publicly released your own personal, self-started products or apps. Enjoy tinkering with languages and frameworks such as Tensorflow, SciKit Learn, or training machine learning models from scratch. Have experience with advanced prompt engineering techniques. Enjoy tinkering with emerging languages and platforms such as Go, Rust, Alexa, and/or Unity. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Additional information We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants.

Location: Remote (Colombia) At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo. We’re looking for an AI Solutions Engineer to join our team. This is a senior-level position with the opportunity to work remotely in Colombia. Who you are You're a thoughtful, creative problem-solving engineer who thrives at the intersection of cutting-edge technology and real-world impact. With deep experience in AI, LLMs, RAG-based architectures, and machine learning, you have an impeccable intuition for turning emerging capabilities into innovative, practical solutions. You’re equally adept at rapidly prototyping ideas in scrappy R&D sprints as you are at shipping robust, scalable code into production. Navigating both architectural design and hands-on implementation comes naturally to you, and you quickly master unfamiliar technologies. You articulate complex technical requirements clearly to internal teams and confidently engage in strategic discussions with client partners. Your engineering principles are mature yet adaptable, shaped by continuous learning, collaboration, and the evolving technological landscape. You're curious and pragmatic, driven by craft to build intelligent systems that are intuitive, performant, and thoughtfully designed. You're passionate about shaping an ethical, innovative, and impactful future for AI. What you will be doing Work closely with clients to understand their business goals around implementing AI technologies, present sustainable and achievable technical solutions, and adjust strategies based on feedback. Guide and mentor engineering teams with your AI expertise, both internally to Livefront and externally with the client, by setting technical standards, conducting code reviews, and contributing to product vision. Engage in technical spikes to explore new technologies and methods. Lead the design of robust architectures tailored to client needs and implement these solutions hands-on, ensuring scalability and maintainability. Design, develop, and integrate APIs, data pipelines, and end-to-end infrastructure that ensure seamless communication between systems. Help optimize performance and enable AI models to be useful, scalable, and maintainable. Adapt your skills across diverse projects, including API design, real-time technical support, and DevOps, demonstrating versatility and responsiveness to varied client needs. Collaborate cross-functionally, streamlining communication between backend teams, frontend teams, designers, and other team members. Why you should apply You want to work with passionate and talented people who are always looking for ways to make things better. You desire a work environment where respect, mutual trust, and egoless collaboration are paramount. You want colleagues who take their work seriously but not themselves, and who know how to find fun in the work. You like being part of a team that has a reputation for excellence and gives back to the community by educating, mentoring, and sponsoring. You want to work on products and accounts that have outsized impact and reach. You believe in sweating the details, committing to quality, and taking pride in going the extra mile. What you bring to the table At least 7-10 years of software engineering experience, preferably in a consulting environment or as part of an in-house, cross-functional product team. Full-stack engineering experience in web or native mobile. Experience with Python/JavaScript, Cloud Infrastructure & DevOps, LLMs & RAG Architecture, and event-driven architectures. Data engineering experience that will enable successful AI implementations. Demonstrated expertise in architecting, building, maintaining, and scaling modern software on various platforms. Experience designing APIs and writing API specifications. Ability to clearly articulate technical requirements to other engineers. A keen sense of security: you're able to think around corners and see potential risks. A talent for communicating directly with clients, managing expectations, and explaining advanced technical concepts and their implications. Excellent communication skills and a strong ability to present and defend technical and architectural choices persuasively. Advanced English proficiency. Exceptional problem-solving skills. Above-average discipline and personal organization skills. A demonstrated hunger for personal and professional growth. A self-evident love and care for the craft of software engineering. Comfort with occasional travel to our HQ in MN. Bonus points if you... Have strong illustration chops as it relates to technical diagramming. Speak, write, and/or educate publicly about technical topics. Have publicly released your own personal, self-started products or apps. Enjoy tinkering with languages and frameworks such as Tensorflow, SciKit Learn, or training machine learning models from scratch. Have experience with advanced prompt engineering techniques. Enjoy tinkering with emerging languages and platforms such as Go, Rust, Alexa, and/or Unity. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Additional information We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants.

Location: London Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. Location: - UK WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies - Native French Speaker How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation & Benefits: - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. - Annual salary range: $225,000-$350,000 OTE USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. Responsibilities: Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through your insights and recommendations Develop hypotheses, apply rigorous causal inference methods – controlled experiments, synthetic controls –  and analyze the results in order make actionable recommendations Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions Define core metrics, build measurement frameworks, and maintain core reporting to evaluate success Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes Present complex technical analyses and recommendations to both technical and non-technical stakeholders Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow You may be a good fit if you have: 7+ years of experience in data science or analytics roles Deep expertise with Python, SQL, and data visualization tools Expertise with experimental design, causal inference, statistical modeling, and A/B testing frameworks, particularly in high-scale technical environments Highly effective written communication and presentation skills A track record of translating complex data into clear, actionable insights for both technical and business stakeholders A bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress A passion for the company’s mission of building helpful, honest, and harmless AI Some experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning Partner across teams to ensure new compute capacity is ingested on time Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity Collaborate with security owners to ensure clusters are provisioned secure-by-default Define and drive strategy on cluster scalability, homogeneity and fault tolerance Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications 10+ years of software engineering experience, including time as a technical lead setting direction for a team Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes) Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like) Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield) Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS) Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows) Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £485,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Parkland, Florida, USA Appodeal is a dynamic US-based product company with a truly global presence. We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world. Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. Why Appodeal? At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses! We take pride in our cutting-edge product and our internationally dispersed team of talented professionals. Here’s what we value, and what we hope you do too: Seek the Truth and Say It with Care: We find the truth together, and nobody owns it, the CEO included. Stories, perspectives and beliefs can be personal. Facts can’t. Leverage Data to Build Product: Our decisions start from data. We build systems rather than one-off tasks, use AI agents in our daily work and automate whatever is manual. When numbers don’t match, we fix them. We Work Together to Serve Others: No closed doors between teams. We share what we learn and win as one company first. Insist on Higher Standards: We don’t settle for “good enough”. We question it and push for better. Passionate Curiosity Fuels Perseverance: We ask “why”, take on ambiguous problems and keep going when they get hard. Lean Startup Mentality: Start Small, Iterate Quickly: Think big, ship an MVP first and learn fast. No big-bang releases. Ownership and Accountability: We work in small squads so each team owns its result end to end and has the freedom to get there. Go deep in your craft and wide enough to own the whole outcome. Escalate blockers early, admit mistakes, fix the damage and learn. Position Overview We are seeking an experienced and business-oriented Lead In‑House Legal Counsel to support a fast-growing advertising technology company operating at the intersection of digital advertising, data privacy, AI, and global monetization. This role will serve as a strategic legal partner across commercial, product, privacy, data governance, and regulatory matters, with a strong emphasis on adtech ecosystem compliance and IAB frameworks. The ideal candidate has deep experience supporting adtech, martech, programmatic advertising, mobile advertising, DSP/SSP, attribution, or data platform businesses and is highly fluent in global privacy regulations, data processing structures, and digital advertising industry standards. This position partners closely with Product, Engineering, Revenue Operations, Security, Privacy, Finance, and Executive Leadership. Key Responsibilities Commercial & Revenue Support Lead negotiation, drafting, and review of complex commercial agreements, including: Publisher agreements Advertiser and agency agreements DSP/SSP/platform agreements Data licensing agreements Vendor and cloud services agreements Enterprise MSAs and DPAs Advise internal stakeholders on commercial risk, revenue impact, and scalable contracting strategies. Develop standardized contract templates, fallback positions, and negotiation playbooks. Partner with Sales and Business Development teams to accelerate deal cycles while appropriately managing legal and compliance risk. Privacy, Data Governance & AdTech Compliance Serve as lead legal advisor for global privacy and data governance matters impacting advertising technology operations. Advise on compliance with: GDPR UK GDPR CCPA/CPRA VCDPA and other U.S. state privacy laws ePrivacy and cookie consent requirements COPPA and children’s advertising considerations Cross-border data transfer requirements Provide legal guidance on: Programmatic advertising Mobile advertising identifiers Attribution technologies Consent management frameworks AI and machine learning use cases involving advertising data Support implementation and governance of privacy-by-design and data minimization principles. Review and advise on data retention, data sharing, and data processing practices. Coordinate with Security and Engineering teams on incident response and data governance initiatives. Advise on and maintain internal GDPR compliance for HR and employment data, including employee and candidate privacy notices, RoPA entries, and data subject request handling. Oversee DPAs with HR system vendors (HRIS, payroll, recruitment tools), cross-border transfer mechanisms for employee data, and data processing considerations in performance management and AI-assisted HR tools. IAB & Industry Standards Advise on compliance with relevant IAB and advertising ecosystem standards, including: IAB Europe Transparency & Consent Framework (TCF) IAB Global Privacy Platform (GPP) IAB Tech Lab specifications Programmatic advertising supply chain standards Monitor developments in digital advertising regulation and industry self-regulatory frameworks. Support internal implementation of evolving industry requirements related to consent signaling, transparency, identity frameworks, and data usage disclosures. Serve as internal subject matter expert on advertising ecosystem legal and compliance obligations. Product & Regulatory Counseling Partner with Product and Engineering teams during product development and launches. Provide practical, risk-balanced legal advice regarding: New ad products AI-enabled advertising tools Measurement and analytics solutions Conduct legal risk assessments related to evolving privacy, consumer protection, and advertising regulations. Help develop internal governance processes for data usage, AI governance, and advertising compliance. Corporate & Operational Support Support corporate governance, policy development, and internal compliance initiatives. Assist with dispute management, pre-litigation matters, and regulatory inquiries. Manage outside counsel efficiently and cost-effectively. Develop and deliver internal legal and privacy training programs. Help build scalable legal operations processes and contract management practices. Develop the company’s contract management workflow in Aline by transitioning all contract-related communication, review, negotiation, approval, and execution processes into a centralized platform environment. Qualifications Required Experience J.D. degree from an accredited law school and active membership in at least one U.S. state bar. 8+ years of legal experience, including substantial in-house experience supporting technology or AdTech companies. Deep familiarity with digital advertising ecosystems, including: Programmatic advertising Mobile advertising Identity and attribution frameworks Data licensing and monetization Strong working knowledge of global privacy and data protection laws. Experience negotiating sophisticated commercial and technology agreements. Demonstrated experience advising on IAB frameworks and adtech industry standards. Ability to balance legal risk with business objectives in a fast-paced commercial environment. Preferred Qualifications Prior experience at an adtech, martech, mobile gaming, media, data platform, or AI-driven advertising company. Experience supporting international operations and cross-border data transfers. Familiarity with: AI governance Data security frameworks Consumer protection and advertising regulations Platform ecosystem issues (Google, Apple, Android, ATT, SDK integrations) Experience supporting M&A, strategic partnerships, or international commercial expansion. CIPP/US, CIPP/E, CIPM, or similar privacy certifications preferred. With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team. Join us and help shape the future of mobile app success!

Location: Paris; Warsaw; Istanbul Workplace: OnSite ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. TEAM You will be an integral part of a newly established internal studio, a dynamic and focused team dedicated to one of our most promising prototype in scale. This studio is specifically chartered to improve this high-potential game up to the successful and market-ready title it is meant to become. In this role, you'll work across our midcore game portfolio, contributing your artistic skills to titles that have already demonstrated strong core mechanics and real player engagement. Midcore games demand a rich and immersive visual language, from compelling character and environment art to visceral combat feedback and cohesive world-building, and your work will be central to delivering that. You'll have the opportunity to contribute directly to the growth and visual refinement of our midcore titles, leveraging their existing traction to build truly exceptional player experiences. This is a unique chance to join a project pipeline with established momentum, while still having a significant impact on the creative direction within a dedicated and agile studio environment. ROLE - Design UX flows and UI visual assets, working closely with the Game Designer to create intuitive and engaging player experiences - Contribute as a generalist UI/UX designer, applying strong visual design and art skills across both user experience and interface aesthetics - Build and maintain the product's UI/UX framework in Figma, ensuring consistency, scalability, and clear design documentation - Iterate quickly based on feedback, playtesting results, and evolving design needs in a fast-paced development environment - Prepare and export UI assets for implementation in Unity, collaborating with developers to resolve integration challenges PROFILE - 3–5 years of UI art experience in mobile games - Solid UX design fundamentals with hands-on experience shipping titles - Proficient in Figma and Photoshop - Comfortable handling the implementation of UI and assets into Unity. - Experience building and maintaining UX/UI framework libraries within a game project - Comfortable using AI tools to accelerate prototyping and asset creation - Proactive mindset — able to identify product needs, source references, and drive solutions independently BENEFITS • Best-in-class compensation • Other benefits according to the country you reside