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Location: Dublin, Ireland; Leeds, England, United Kingdom; London, England, United Kingdom About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Overview Every time a fan places a bet, earns a reward, or checks out on Fanatics — Fanatics Core made that possible. We build the shared foundations — identity, payments, loyalty, wallet, data, and platform — that power sports betting, ecommerce, collectibles, and beyond. We supercharge the business by providing products and capabilities so that teams can focus on what matters most: building delightful experiences for the fans. As a Staff Software Engineer, you'll join the Promotions Platform team within FBG. Your duties will encompass the design, implementation, testing, and maintenance of software that enables customers to engage with FBG's promotional systems. Additionally, you will contribute to backend features that allow customers to earn rewards, which can be used throughout the entire Fanatics ecosystem. We are currently focused on developing the next generation of promotional tools. Responsibilities Lead a team or teams that develops, tests, documents, and deploys high quality software into production, leading the delivery of solutions that are extensible and scalable Clarify requirements and assists with coding/story estimates Participate in the on-call rotation when needed to troubleshoot software issues Quickly identify when to troubleshoot or escalate when tasks or projects hit roadblocks, find a path forward in difficult situations Mitigate immediate risk, identify and resolve root causes Remove bottlenecks and make technical and design approach trade-off decisions short term vs long-term Contribute to team planning and design discussions, building more expertise around design approaches, driving best practices and improving the speed of delivery Lead code reviews to provide constructive direction Proactively simplifies code and resolves team architecture deficiencies Impact software architecture, dependencies, performance, and business value Improve testability, operational excellence metrics, and team documentation Advise technology leaders, our product team, and other internal stakeholders to make technology decisions that grow and improve our products Mentor and coach other engineers and actively work to reduce onboarding burden of future team members Influence your team's adherence to the principles, guidelines, and best practices of our engineering strategy Develop a solid understanding of our industry, product, feature set and roadmap Remain current on the latest technologies and trends in software development Must be open to occasional travel to Fanatics Betting & Gaming offices and other locations for conferences, events, meetings, and team-building activities Required Qualifications 7+ years of experience building highly scalable and fault tolerant systems Proven technical leadership at staff level: you’ve led the design and delivery of complex systems across multiple teams, set technical direction, and mentored engineers, whether as a tech lead or through other formal or informal leadership. You understand a broad range of design approaches You are able to triage and debug system-wide production issues Demonstrated experience mentoring other engineers Able to effectively communicate complex technical subjects to a variety of audiences (engineers, technical leaders, marketing and operations teams, non-technical functional leaders) Familiar with Agile software product delivery and SCRUM methodology Excellent analytical and problem solving skills You have an agile mindset; able to embrace new initiatives in a fast-paced environment Thrives in an entrepreneurial, hyper-growth environment where priorities evolve regularly and decisions are made quickly Team-first mentality, with a willingness to do what it takes to get the job done and a desire to strive for better Able to effectively work cross-functionally within an enterprise environment Preferred Qualifications Experience working in a start-up environment 1+ years of experience leading a development team Experience with Java/Spring Boot Experience with React Experience with Apache Kafka Experience with AWS Experience with PostgreSQL If you possess some of these qualifications but not all of them, we still encourage you to apply! Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: San Francisco; Remote (United States); Belgrade; New York City Workplace: Hybrid Perplexity is looking for experienced Generalist Software Engineers to join our Perplexity and Comet application teams. Our team is reshaping knowledge work through our high-impact desktop and Comet apps. The ideal candidate should have strong programming skills and multiple years of experience shipping high-quality, production software. Our stack spans several different skillsets, including Rust, Kotlin, Swift, Typescript, Chromium and Perplexity’s core AI stack. We have found that our strongest engineers are capable of working across multiple codebases and ramping up quickly, and we expect the same high bar for candidates. Responsibilities - Work closely with product teams to implement novel mobile experiences. - Work closely with design teams to design fast and intuitive UI. - Utilize Perplexity Computer and other Agentic coding tools to accelerate development. - Collaborate with data science and machine learning teams to instrument, analyze, and improve the end-to-end experience. - Work with infrastructure and QA teams on deployment processes, including testing, release, and monitoring. Requirements - 4+ years industry experience - Experience in shipping high-quality native applications - Architecture experience in writing code understandable by both agents and humans - Deep understanding of app performance - Ability to own projects and surfaces, and to push them forward proactively

Location: San Francisco; Remote (United States); Belgrade; New York City Workplace: Hybrid Perplexity is looking for experienced Generalist Software Engineers to join our Perplexity and Comet application teams. Our team is reshaping knowledge work through our high-impact desktop and Comet apps. The ideal candidate should have strong programming skills and multiple years of experience shipping high-quality, production software. Our stack spans several different skillsets, including Rust, Kotlin, Swift, Typescript, Chromium and Perplexity’s core AI stack. We have found that our strongest engineers are capable of working across multiple codebases and ramping up quickly, and we expect the same high bar for candidates. Responsibilities - Work closely with product teams to implement novel mobile experiences. - Work closely with design teams to design fast and intuitive UI. - Utilize Perplexity Computer and other Agentic coding tools to accelerate development. - Collaborate with data science and machine learning teams to instrument, analyze, and improve the end-to-end experience. - Work with infrastructure and QA teams on deployment processes, including testing, release, and monitoring. Requirements - 4+ years industry experience - Experience in shipping high-quality native applications - Architecture experience in writing code understandable by both agents and humans - Deep understanding of app performance - Ability to own projects and surfaces, and to push them forward proactively

Location: Saudi Arabia (remote) Workplace: Remote ABOUT THE OPPORTUNITY We are looking for experienced Oil & Gas professionals to support a cutting-edge AI benchmarking project focused on Modern Standard Arabic (MSA) for the GCC energy sector. As a Subject Matter Expert, you will create and review realistic, high-quality technical scenarios that reflect real operational, engineering, and regulatory challenges across upstream, midstream, and downstream activities. Your expertise will help ensure AI systems understand and respond accurately within one of the world’s most critical industries. WHAT YOU’LL DELIVER - Design realistic Oil & Gas scenarios in Arabic or English grounded in GCC operational contexts (e.g., drilling, production optimization, LNG logistics, HSE incidents) - Adapt structured evaluation rubrics for technical and operational problem-solving tasks - Review AI and human-generated responses for technical accuracy, safety compliance, and operational realism - Contribute to “gold standard” solutions reflecting industry best practices QUALIFICATIONS - Native Arabic (MSA) with strong professional English proficiency - 5+ years of professional experience in Oil & Gas or Energy (upstream, midstream, or downstream) - Background in one or more relevant roles: Petroleum/Reservoir Engineering, HSE, Process Engineering, LNG/Gas Operations, Procurement, or Energy Transition - Strong understanding of operational workflows, safety protocols, and regulatory requirements in GCC energy environments WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain. Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: United Arab Emirates (remote); Kuwait (Remote); Bahrain (Remote); Qatar (Remote); Saudi Arabia (remote) Workplace: Remote ABOUT THE OPPORTUNITY We are looking for experienced Oil & Gas professionals to support a cutting-edge AI benchmarking project focused on Modern Standard Arabic (MSA) for the GCC energy sector. As a Subject Matter Expert, you will create and review realistic, high-quality technical scenarios that reflect real operational, engineering, and regulatory challenges across upstream, midstream, and downstream activities. Your expertise will help ensure AI systems understand and respond accurately within one of the world’s most critical industries. WHAT YOU’LL DELIVER - Design realistic Oil & Gas scenarios in Arabic or English grounded in GCC operational contexts (e.g., drilling, production optimization, LNG logistics, HSE incidents) - Adapt structured evaluation rubrics for technical and operational problem-solving tasks - Review AI and human-generated responses for technical accuracy, safety compliance, and operational realism - Contribute to “gold standard” solutions reflecting industry best practices QUALIFICATIONS - Native Arabic (MSA) with strong professional English proficiency - 5+ years of professional experience in Oil & Gas or Energy (upstream, midstream, or downstream) - Background in one or more relevant roles: Petroleum/Reservoir Engineering, HSE, Process Engineering, LNG/Gas Operations, Procurement, or Energy Transition - Strong understanding of operational workflows, safety protocols, and regulatory requirements in GCC energy environments WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain. Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: India - Remote About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role You will own the production system behind Turing’s software-engineering data programs, turning complex research requirements into predictable delivery across quality, throughput, contributor performance, timelines, and cost. These programs may involve supervised coding demonstrations, repository-level tasks, agentic trajectories, reinforcement-learning environments, benchmarks, code review, and rubric-based evaluations. They can require coordinating hundreds of distributed software engineers while responding quickly to changing research requirements. This is an operations leadership role with a meaningful technical bar. You must be able to inspect code, understand tests, interrogate quality signals, and challenge a workflow or rubric when it is not producing the intended result. You will not be expected to act as the principal engineer for every program. Your primary responsibility is to build and operate the system that consistently produces high-quality technical work at scale. What You’ll Own 1) Operational execution — own end-to-end delivery on every project you run Design and manage data pipelines from customer specification to final delivery, with full accountability for scope, timeline, and quality. Scope and stand up coding workstreams across supervised demonstrations, agentic trajectories, RL environments, benchmark construction, and rubric-graded evaluation. Diagnose bottlenecks in real time — re-sequence workflows, refine instructions, create incentive systems, and scale review processes to hit throughput targets. 2) Quality ownership — ensure world-class data integrity on every project Own quality control across the annotation lifecycle: set the bar, measure against it, and close the gap when it slips. Analyze datasets to identify trends, anomalies, and systematic errors — then fix the root cause, not just the symptom. Implement and continuously improve annotation, evaluation, and curation best practices. 3) Large-scale coordination — orchestrate the work of 100–1,000+ contributors Define the required contributor profile and partner with talent teams to source, assess, onboard, and ramp distributed software engineers. Own contributor training, performance management, reviewer capacity, incentives, and corrective actions. Build team-lead and reviewer structures that maintain execution standards across programs involving hundreds of contributors. 4) Customer relationships — be the face of Turing to the world’s leading AI labs Act as the primary point of contact for researchers and program managers at frontier AI labs providing clear reporting on progress, quality, risks and recovery actions. Translate research intent into a task specification, and push back when a spec will not produce the signal the researcher actually wants. Build the kind of long-term trust that converts a one-off project into a multi-year partnership — and identify expansion opportunities along the way. 5) Playbook building — codify what works so future SPLs scale faster than you did Use Python, SQL or other appropriate tools to automate quality sampling, defect classification, throughput analysis, and weekly reporting. Turn successful workflows into reusable playbooks, quality controls, evaluation assets, and contributor-management systems. Share lessons and mentor other SPLs so each program improves the operating system for the next one. What We’re Looking For Background in software engineering, technical program management, consulting, finance, startups, or other operationally intense environments, with a proven track record of managing complex, multi-stakeholder projects. Strong analytical and communication abilities: you can spot a bottleneck in a noisy production environment, build a measurement plan, and communicate the fix to a demanding client in plain language. Customer-facing experience: comfortable working directly with high-profile clients, managing expectations, and building long-term relationships. Excited by gritty process optimization and large-scale execution — you thrive on making complex operations faster, cleaner, and more reliable. You can read and review code. You can follow a pull request in Python, TypeScript, Java, or Go, read a test suite, and judge a delivered task independently. Bonus: Experience with agentic evaluation harnesses, software engineering benchmarks, or RL environments; Experience managing large distributed contributor networks or marketplaces; Prior work at an AI data vendor or a frontier lab What Success Looks Like 30 days: Complete technical and operational calibration, establish the program baseline, validate acceptance criteria and delivery controls, and independently lead a defined workstream. 90 days: Deliver predictable throughput and quality, improve at least one material operating metric, maintain a trusted risk and reporting cadence, and demonstrate that defects are being detected internally before customer delivery. 180 days: Run concurrent programs with stable quality and cost performance, convert successful workflows into reusable assets, contribute evidence that supports account expansion, and help another lead or team adopt the operating system you built. Why Turing Work directly with the world’s leading AI labs at the cutting edge of post-training, evaluation, and agentic AI research. Real impact on the path to AGI: the data you deliver will directly influence how frontier models are trained and evaluated. High ownership and influence. You will shape how Turing delivers at scale, with direct visibility to senior leadership. Direct-to-research customers. You will spend your time partnering with the people building the future of AI, not coordinating with procurement. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: England; Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Secure Build builds and operates the infrastructure behind Docker's container builds. The team owns Docker Build Cloud and Docker Hub Automated Builds while developing the next generation of trusted build and CI capabilities. Its direction is to make Docker the trusted place CI runs: isolated execution, brokered access to secrets and networks, and verifiable evidence of what each build or test job did. The work spans Go services, container and build technology, cloud infrastructure, sandboxing and software supply-chain security, alongside the operational responsibility for production systems customers already depend on. SCS Services builds the backend systems and product capabilities that help developers understand, secure and ship software with confidence. The team powers important parts of Docker Scout and Docker Hardened Images, including the services and workflows that turn supply-chain data into useful developer, customer and agent experiences. Its estate is deliberately polyglot, with Clojure and Go services, event-driven workflows, Kafka, legacy Datomic components and newer Spanner-backed services. It also supports the customer journey around discovering, assessing, subscribing to and managing hardened artefacts. We are looking for one Engineering Manager to lead both teams. Together they sit at the centre of Docker's secure software supply-chain work: one creates trusted build outcomes, while the other turns build, artifact and dependency data into services and experiences used across Scout and Docker Hardened Images. This is a two-team leadership role with separate roadmaps, production responsibilities and technical domains. The teams should deliver independently, with explicit contracts and joined-up ownership where their services connect. You will own the health, delivery and growth of both teams and make the trade-offs that keep them effective as a portfolio. You will not be expected to be the deepest expert in every language or domain. You will need enough technical breadth and current engineering judgement to engage credibly in designs, reviews and incidents across both teams, set direction with strong senior engineers, and recognise when the right answer is to create space for their expertise. _______________________________________________________________________ THE KIND OF PERSON WE'RE LOOKING FOR The successful candidate leads first. They are an experienced engineering manager who can inherit two capable teams, earn trust quickly and help each become a high-performing, value-delivering part of the wider Docker organisation. They are deliberate about where they spend their attention, protect both teams from becoming the second priority, and make portfolio trade-offs visible rather than allowing urgency, proximity or the loudest stakeholder to decide. They stay close to the technical work without trying to own every technical decision. They can hold a substantive conversation about distributed backend systems, event and data pipelines, build and CI infrastructure, trust boundaries and production operations. They are active in design and review, useful during incidents and willing to get hands-on where that moves the work forward. The balance still tilts strongly to leadership, coaching, delivery and organisational judgement. They care about security as a product and engineering property, not only as compliance. They understand how modern attacks exploit identity, secrets, dependencies and build systems, and they can reason about the evidence customers need to trust an artefact or workflow. They lead through judgement, clarity and unblocking rather than ceremony for its own sake. Above all, they grow the engineers around them and help both teams ship outcomes developers and enterprises can rely on. _______________________________________________________________________ RESPONSIBILITIES - Lead Secure Build and SCS Services, owning delivery, team health, growth, performance and operational excellence across both. - Turn two changing roadmaps into a coherent portfolio plan with explicit priorities, capacity and trade-offs, and create leadership coverage so neither team becomes the permanent second priority. - Partner with Product to shape strategy and roadmaps for secure build, Docker Scout, Docker Hardened Images and the services that connect them. - Stay close to the technical work through design and code review, incident response and selective hands-on contribution where it adds leverage. - Ensure each team's technical direction supports product, security, reliability and customer priorities, setting it collaboratively with Staff and senior engineers while leaving clear decision ownership with them. - Own the interfaces between the teams, including trust boundaries, contracts, data quality, versioning, operational ownership and customer-facing failure modes. - Balance new product work with inherited systems and on-call, and invest in reliability improvements driven by recurring operational pain. - Own engineer growth and performance, handle difficult conversations directly, hire and retain strong people and build succession depth within both teams. - Align Product, Design, Security, DHI Content, Registry, Hub, sales, support, commercial and legal partners while shielding the teams from churn. - Lead disciplined use of AI-assisted engineering and communicate decisions, risks and progress clearly across UK and US working hours. _______________________________________________________________________ QUALIFICATIONS Required - 5+ years managing high-performing engineering teams, with meaningful responsibility across more than one team or distinct technical domain. - 8+ years of professional, hands-on software engineering experience in backend, infrastructure, platform or developer tooling. - Experience leading, growing and retaining engineers at or above your own technical seniority, including teams you did not build and difficult performance conversations. - A leader-first operating model, with current enough technical judgement to participate in design and review across unfamiliar systems without needing to be the best engineer in the room. - Experience prioritising across competing roadmaps, operational load and stakeholder commitments, with clear mechanisms for allocating attention and capacity. - Strong backend and distributed-systems judgement, including APIs, event-driven architectures, data stores, cloud-native infrastructure and production operations. - Understanding of CI or build-system internals, containers and artefact workflows, plus a strong interest in software supply-chain security and trust boundaries. - Experience leading teams that operate production infrastructure through on-call, incident response, observability, SLOs and the work required to reduce recurring operational load. - Strong product judgement and evidence of shaping roadmaps with Product rather than only receiving requirements. - Clear written and verbal communication, strong cross-functional influence, customer closeness and comfort leading a remote-first organisation across European and US time zones. Helpful, but Not Required - Experience with Go, Clojure or both, and evidence of becoming effective across a polyglot estate. - Experience with Kafka, Spanner, Datomic or comparable event-streaming and distributed-data systems. - Experience with OCI, BuildKit, Buildx, GitHub Actions or comparable build and CI platforms. - Experience with sandboxing, microVMs, untrusted workload execution or multi-tenant infrastructure. - Experience with SLSA, in-toto, SBOMs, VEX, Sigstore, cosign, provenance, signing or vulnerability scanning. - Experience evolving legacy systems while shipping new capability for developer tools, security products, regulated customers or software-agent workflows. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Build relationships with every engineer and the Product partners for both teams before changing structure, process or roadmap. - Understand Secure Build's product direction, production estate and on-call load, including Docker Build Cloud and Docker Hub Automated Builds. - Understand the SCS Services products, customers, architecture and operational profile, and map the dependencies, trust boundaries and ownership lines between the teams. FIRST 90 DAYS - Own a coherent portfolio plan with both teams and Product, including explicit capacity for roadmap, reliability and cross-team work. - Establish a sustainable operating cadence and leadership coverage that prevents either team depending on your constant presence. - Agree ownership and escalation paths for shared services and failures, start one material improvement in each team and make progress and risk visible. ONE YEAR OUTLOOK - Both teams deliver predictably against a portfolio that connects secure build, Scout and Docker Hardened Images outcomes without collapsing their distinct missions. - Secure Build has delivered material trusted-build or secure-CI capability and reduced operational risk in its inherited production systems. - SCS Services has delivered material customer outcomes, while both teams have sustainable on-call, clearer ownership and senior engineers leading broader work. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$244,550 – CA$392,150 base United States: $174,900 – $282,700 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Product team The Product team listens to our customers’ needs and translates those insights into a clear product vision. The team works closely with design, engineering, and analytics to build scalable financial products that empower people to manage their money with confidence. We rely on empathy, curiosity, and business sense to prioritize features and improve experiences. Our role is to lead with clarity, support cross-functional execution, and champion the user in every decision. About the role The Purchasing Experience product team owns the ‘face of Affirm’, the core checkout experience for millions of Affirm users. As a Senior Product Manager on the Terms and Payments team, you will be responsible for designing both the term and payment selection experiences which drive user clarity and confidence at checkout. An ideal candidate is one who has worked extensively on consumer experiences at key moments in the product flow. This is a highly cross-functional role that sits at the intersection of Product, Design, Engineering, Research, and Analytics. What you’ll do • Own the core checkout experience where consumers select and review their terms and payments — with a focus on driving conversion, clarity, and confidence at the moment of commitment. • Design and run experiments that improve how consumers understand and choose their terms • Define and ship new UX patterns that change the way checkout looks and feels — using research insights, quantitative signals, and close collaboration with design and analytics to move from discovery to launch. • Partner with Legal and Compliance to understand regulatory requirements and how they affect the user experience. • Work alongside international product partners to expand the terms experience into new markets, adapting for local expectations while keeping the design system coherent. • Develop a deep understanding of user behavior and share those insights broadly — helping the team and stakeholders stay grounded in how consumers actually experience checkout. • Drive an ambitious roadmap — identify the highest-leverage opportunities, align cross-functional partners, and own execution from concept through launch and iteration. What we look for • 5+ years of Product Management experience • A strong sense of taste for user experience — you have opinions about what makes an interaction feel clear, considered, and delightful. • Analytical rigor — you're comfortable digging into data, interpreting experiment results, and turning qualitative and quantitative inputs into insights and product opportunities. • World-class execution with high agency — you ship reliably, identify what matters without waiting to be told, and hold yourself to a high bar on quality and follow-through. • The ability to work closely with cross-functional teams across product, design, engineering, analytics, and research — building trust and driving alignment without relying on authority. • Strong communication skills — you can deliver results, drive narratives, and explain tradeoffs in a way that brings stakeholders along and creates clarity. • Coachability — you seek out feedback, absorb it without defensiveness, and visibly grow from it. • Bonus points if you've worked on checkout, e-commerce, or fintech products in the past. Pay Grade - N Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) CAN base pay range per year: $153,000 - $213,000 This posting is for an existing vacancy. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: New York, NY Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow. That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve. Flex is expanding to offer a consumer bill management platform: a hub where users manage both recurring and one-off bills, align payments with their cash flow, and build credit along the way. As we move from a pilot to broader GTM, we're looking for someone who can operate as both the builder of our data foundation and the analyst who turns that data into decisions. This role will work closely with both business leadership and the core data team to focus on modeling data, digging into consumer behavior, pricing and credit dynamics, and setting the standards the rest of the team builds on. What you'll do Build and maintain the core data models (dbt/Snowflake) that power reporting, experimentation, and ML/credit risk use cases Analyze consumer bill payment behavior timing, splitting, delinquency, credit-building outcomes to identify what's working in the pilot and what needs to change Partner closely with Product and Engineering to instrument new features (e.g. bill splitting, smart scheduling, credit-building) so we can measure adoption and impact from day one Design and analyze experiments that test pricing, credit terms, and product flows, establishing causal links between changes and outcomes Create dashboards and self-serve tools that let Product, Risk, and GTM teams track Control Center's pilot-to-scale metrics without needing to come back to Analytics for every question Champion data quality, consistent terminology, and documentation as data footprint grows from pilot to full launch Set technical direction for how Control Center's data models and pipelines scale as new billers, partners, and product surfaces come online; mentor other analysts/engineers and raise the technical bar across the team Key qualifications 7+ years of experience spanning analytics engineering and data science/analyst work Strong SQL and hands-on experience with dbt and Snowflake (or equivalent modern data stack) Experience with BI tools (Sigma, Tableau, Mode, Looker, etc.) and building dashboards that non-technical stakeholders use Track record designing and analyzing experiments (A/B tests or quasi-experimental methods) to drive product decisions Being confident partnering with technical and non technical stakeholders Strong ownership mindset Comfort with credit, risk, or fintech data, as well as curiosity about how consumers manage their finances, is a plus Compensation Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 (NYC/Bay Area) markets, the base salary pay range for this role is below. Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the cities listed below, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location. Tier 1 (NYC/Bay Area) $184,000 — $225,000 USD Life at Flex Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace. Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits View our benefits and more at getflex.com/careers .

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Product team The Product team listens to our customers’ needs and translates those insights into a clear product vision. The team works closely with design, engineering, and analytics to build scalable financial products that empower people to manage their money with confidence. We rely on empathy, curiosity, and business sense to prioritize features and improve experiences. Our role is to lead with clarity, support cross-functional execution, and champion the user in every decision. About the role The Purchasing Experience product team owns the ‘face of Affirm’, the core checkout experience for millions of Affirm users. As a Senior Product Manager on the Terms and Payments team, you will be responsible for designing both the term and payment selection experiences which drive user clarity and confidence at checkout. An ideal candidate is one who has worked extensively on consumer experiences at key moments in the product flow. This is a highly cross-functional role that sits at the intersection of Product, Design, Engineering, Research, and Analytics. What you’ll do • Own the core checkout experience where consumers select and review their terms and payments — with a focus on driving conversion, clarity, and confidence at the moment of commitment. • Design and run experiments that improve how consumers understand and choose their terms • Define and ship new UX patterns that change the way checkout looks and feels — using research insights, quantitative signals, and close collaboration with design and analytics to move from discovery to launch. • Partner with Legal and Compliance to understand regulatory requirements and how they affect the user experience. • Work alongside international product partners to expand the terms experience into new markets, adapting for local expectations while keeping the design system coherent. • Develop a deep understanding of user behavior and share those insights broadly — helping the team and stakeholders stay grounded in how consumers actually experience checkout. • Drive an ambitious roadmap — identify the highest-leverage opportunities, align cross-functional partners, and own execution from concept through launch and iteration. What we look for • 5+ years of Product Management experience • A strong sense of taste for user experience — you have opinions about what makes an interaction feel clear, considered, and delightful. • Analytical rigor — you're comfortable digging into data, interpreting experiment results, and turning qualitative and quantitative inputs into insights and product opportunities. • World-class execution with high agency — you ship reliably, identify what matters without waiting to be told, and hold yourself to a high bar on quality and follow-through. • The ability to work closely with cross-functional teams across product, design, engineering, analytics, and research — building trust and driving alignment without relying on authority. • Strong communication skills — you can deliver results, drive narratives, and explain tradeoffs in a way that brings stakeholders along and creates clarity. • Coachability — you seek out feedback, absorb it without defensiveness, and visibly grow from it. • Bonus points if you've worked on checkout, e-commerce, or fintech products in the past. Pay Grade - N Equity Grade - 9 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $195,000 - $255,000 USA base pay range (all other U.S. states) per year: $173,000 - $233,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote or Mississauga Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Position Summary: The Sr. Director, HR Technology and AI Enablement, delivers PointClickCare's HR technology roadmap and leads the shift to an AI-first, agent-enabled model of HR service delivery. Reporting to the VP Total Rewards, the role executes the platform and AI strategy the pillar sets, redesigns HR workflows and AI-human handoffs ahead of the SAP SuccessFactors-to-Workday migration, and operationalizes the data governance and responsible-AI controls that make automation safe in a healthcare context. Partnering closely with the Sr. Director, HR COEs, SDO, Procurement and OCIO, the role leads a team through significant platform and ways-of-working change, turning pillar strategy into a working technology capability for PCC. Key Responsibilities: HR Technology Roadmap Execution & Platform Sequencing Co-develop with the Workforce Intelligence and HR Technology Leader and execute the multi-year HR technology roadmap Evaluate, select, and sequence platforms and agentic AI across the ecosystem (Workday, Moveworks, ServiceNow Now Assist, Payfactors, Power BI, Qualtrics) against business outcomes Operating-Model & Workflow Redesign (ahead of Workday configuration) Partner with the HR COEs and the four-zone workflow classification to redesign HR workflows and AI–human handoffs before Workday is configured, so Zone 1 and Zone 2 automation is built natively pre-go-live rather than retrofitted. This sequencing is the highest-leverage lever for FY27 and prevents PCC from hardcoding today’s inefficiency into the system for years. Platform Migration, AI Agent & Automation Delivery (SuccessFactors → Workday) Lead end-to-end delivery of the Workday migration and the deployment of conversational and agentic AI (Moveworks, Now Assist), owning project plans, configuration, testing, cutover, and hypercare. Define which workflows are automated versus human-led, monitor agent performance and quality, and manage vendors and budget. Close partnership & collaboration with Procurement, OCIO & SDO through all phases required. Final budget and contract decisions made with partners and Sr. Director Data Governance, Privacy & Responsible AI Build and safeguard the data foundation for AI.": an HR data quality audit ahead of migration, operationalizing the data governance policy that defines what AI systems can access, and Workday as the single source of truth. Advance People Analytics maturity and the skills taxonomy that underpins workforce planning. Team Leadership, Adoption & Employee Experience Lead and develop the HR technology team, reskilling it as work shifts from configuration to AI orchestration. Apply product and user-experience thinking, and drive adoption and change management so employees and managers experience HR technology as fast, intuitive, and trusted. Required Skills & Qualifications: Bachelor’s degree in Human Resources, Information Systems, Computer Science, Business, or a related field. 10+ years of progressive HR technology / HRIS experience, including 5+ years leading and developing teams, and prior experience operating at a leader level or equivalent scope. Demonstrated experience leading an enterprise HCM platform implementation or migration (e.g., Workday and/or SAP SuccessFactors). Experience redesigning HR processes and workflows for automation — mapping current state, eliminating waste, and designing AI–human handoffs ahead of system configuration. Hands-on experience deploying or operating enterprise AI and automation tools — conversational and agentic AI and AI-enabled service management (e.g., ServiceNow / Now Assist, Moveworks). Strong AI literacy: a working understanding of large language models, AI agents, prompt design, and responsible/ethical AI, data governance, privacy, and security. People analytics and data fluency — able to turn HR data into insight and design trusted reporting and dashboards. Proven project and change management skills, delivering across cross-functional stakeholders and external vendors on time and on budget. Demonstrated experience owning technology vendor relationships and negotiating contracts at a half million threshold or above Product- and outcome-oriented mindset — frames technology investments in terms of business and employee-experience outcomes. Preferred Experience: Workday certification(s) and/or ServiceNow HR Service Delivery experience. Experience in a high-growth SaaS or technology company. Experience establishing AI governance, human-in-the-loop frameworks, or classifying workflows by AI impact. Experience with integration architecture (APIs, iPaaS) and enterprise HR data governance. Experience with data privacy and security in a regulated or healthcare environment (e.g., PHI / HIPAA). Experience leading and developing a technical HR / HRIS team. Familiarity with UX and service-design methods applied to employee-facing technology. Relevant certifications (PMP, Prosci / change management, HRIP, CHRP / SHRM). #LI-TW1 #LI-Remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $163,000 - $181,000 + bonus + equity + benefits, non-overtime eligible. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We're hiring a Growth PM to own data and growth experimentation across the full funnel, from landing page through to in-app and pricing. ElevenLabs drives significant paid and organic traffic across self-serve, developer, and enterprise funnels; your job is to turn more of it into subscriptions, pipeline, and revenue. You'll own the experimentation engine end to end: uncovering opportunities through funnel and product data, building and prioritizing the testing backlog, designing and evaluating experiments, and owning the tracking and reporting that turns results into decisions. Your scope runs deeper than conversion optimization: you'll drive experiments across onboarding, activation, and pricing, and align paid media, design, engineering, and product teams around one optimization roadmap. The ideal candidate is equal parts analyst, strategist, and operator: someone who finds revenue hiding in funnel and product data, ships a high-velocity testing program, and communicates results in terms of subscriptions and pipeline, not just conversion rates. REQUIREMENTS - A track record of running high-velocity experimentation programs end to end - hypothesis, prioritization, test design, and analysis - with measurable revenue impact - Experience running experiments beyond the marketing site: in-product (onboarding, activation) and pricing or monetization - Deep analytics fluency: comfortable living in product analytics tools (e.g., PostHog, Amplitude, GA4) to diagnose funnel drop-off, segment traffic, and attribute outcomes across multi-domain journeys - Strong statistical literacy: you know how to size tests, avoid false winners, and choose the right success metric (revenue and subscriptions over clicks) - A cross-functional operator who can align paid media, design, engineering, and product teams around a shared optimization roadmap Bonus - Working front-end web development skills (HTML, CSS, JavaScript, React) to build test variants without waiting on engineering - Experience optimizing PLG/self-serve funnels alongside sales-assisted (demo/contact-sales) funnels LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw. #Li-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: San Francisco, CA | New York City, NY | 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 Anthropic is seeking a partnerships leader to own the tri-party motion for systems integrator partnerships selling through AWS. Global systems integrators and specialist SIs are how Claude reaches enterprise customers at scale, and AWS is the surface most of that work runs on. You will own the intersection of those two ecosystems. In this role, you will build the go-to-market motion that turns partner interest into joint pipeline and closed revenue, working across AWS's partner organization and the AWS practices inside the world's largest integrators. You will define how Claude is positioned inside AWS partner programs, design the commercial mechanics that let partners transact and get rewarded, and build the joint plays that partners take to their customers. This is a build role. The partner ecosystem is early, the programs are still being designed, and you will be operating across three organizations whose incentives on any given deal don’t always line up. You will help shape how frontier AI technology reaches the enterprise through the services ecosystem. You will report directly to the Head of AWS GTM Partnerships. Key Responsibilities Develop and execute the GTM strategy for our systems integrator partnerships through AWS, including co-selling motions, joint business plans, events and segment-specific plays Own forecasting, pipeline development, and revenue targets for partner-sourced and partner-influenced business Design the commercial mechanics that make the partner motion work, including deal registration, marketplace program structure, and incentives Build and maintain executive-level relationships across AWS's partner organization and across partner AWS practice leadership Work with partners to develop repeatable, industry-specific solutions built on Claude, and help them build the delivery capability to take those solutions to market Partner cross-functionally with Anthropic's alliances, sales, partner marketing, and regional cloud teams to keep the motion consistent globally while regions execute locally Create and implement scalable processes for partnership operations, including escalation management, business reviews, and reporting Provide strategic market intelligence and competitive insights on the partner ecosystem to inform product and commercial strategy Identify where to concentrate investment across the partner portfolio and make the case to stop investing where returns are not there Minimum qualifications 12+ years of enterprise partnerships, alliances, or business development experience, with meaningful time spent on partner ecosystems Proven track record of building and scaling partnerships with systems integrators, consultancies, or channel partners Experience building a co-sell or channel motion from the ground up, including the commercial mechanics behind it Deep understanding of how cloud and partner field organizations operate, and the incentives that drive seller and partner behavior Track record of carrying and hitting a partner-sourced or partner-influenced revenue number, with credible forecasting behind it Strong executive presence and demonstrated ability to influence senior stakeholders where you have no formal authority Excellence in strategic planning, business operations, and program management Ability to balance strategic thinking with tactical execution, and a willingness to concentrate effort rather than spread thin Experience working with technical products and translating complex capabilities into business value Ability to travel up to 25% of the time Preferred qualifications Previous experience working with AWS or another hyperscaler partner organization Working knowledge of systems integrator operating models, including practice structures, delivery economics, and how services revenue drives partner decisions Background in AI/ML technologies or with developer-focused platforms and their partner ecosystems Experience scaling partner programs at a company moving from early traction to significant partner-driven revenue Management consulting experience earlier in your career Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $365,000 — $425,000 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: Hong Kong, Singapore Location: Hong Kong, Singapore Programme duration: from 3 to 6 months, starting in 2027. Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology and data are central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and data infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and work alongside engineers, researchers and traders on problems that matter to our research and trading activities. The environment is technical and collaborative, with plenty of scope to ask questions, test ideas and take ownership. Your future role at QRT As part of QRT’s data teams, you’ll work on the systems and datasets behind quantitative research and trading. You’ll collaborate closely with traders, researchers and engineers, tackling problems across data acquisition, engineering and platform design. Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on. Depending on the strongest fit, your internship may focus on one of the following areas: Quantitative Data Analyst – Source and evaluate new datasets based on priorities from our trading desks. You’ll explore how new data can support research, manage sourcing projects from acquisition through to design, and work with Data Engineers to bring useful datasets into production at scale. Data Engineer – Work with large datasets across QRT’s research and trading platforms. You’ll design and implement data stores and APIs, monitor data processes and build production-ready datasets that researchers and traders can use effectively. Data Platform Engineer – Build and maintain the infrastructure used to ingest, process and serve data across our research environment. You’ll work on real-time and batch workflows, with a focus on reliability, latency and efficiently handling growing volumes of complex data. Your present skillset Computer science foundations – A good grounding in areas such as algorithms, data structures, parallel programming and object-oriented programming. Programming – Experience with Python and an interest in using software to solve data or infrastructure problems. Engineering interests – An interest in software engineering, infrastructure or data engineering, particularly where performance and reliability matter. Systems – Curious about high-performance, real-time systems and interested in developing a deeper understanding of how they support trading. Problem solving – A rigorous, structured approach to analysing unfamiliar problems and working towards practical solutions. Communication – Able to communicate clearly and collaborate directly with researchers, traders and engineers. Approach – Self-motivated and keen to develop autonomy as you learn. Preferred qualifications (a plus): Knowledge of SQL or NoSQL databases. Experience with front-end development. An interest in financial markets and/or algorithmic trading. Interviewing Application – Submit your application online. We review applications on a rolling basis. Technical Assessment – Selected candidates will complete a coding challenge focused on core programming and problem-solving skills. Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you approach unfamiliar problems and how you work with others. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Mexico City; Brazil Office Workplace: onsite About Unlimit Unlimit is the global financial infrastructure for the borderless agentic economy. Designed to bridge the gap between fragmented local markets and the future of autonomous commerce, Unlimit provides the programmable operating layer for the world’s most ambitious businesses. Through an integrated technology stack, the platform unifies global payment acceptance, programmable financial accounts, and digital asset rails into a singular financial layer. By mapping hyper-local payment ecosystems directly into its architecture, Unlimit enables businesses to move value and settle transactions instantly across continents. Built on decades of hard-won regulatory depth and an extensive global license portfolio, the platform provides direct access to a massive global infrastructure. With major hubs in London, San Francisco, Singapore, São Paulo, and Mexico City, Unlimit is building the infrastructure that makes global expansion a matter of code, not geography. The Transaction Monitoring Specialist sits at the intersection of financial crime detection and payment operations: monitoring transaction flows in real time, reconciling fiat and crypto movements as they settle, keeping liquidity available across banking rails, PSPs, exchanges and wallets, and acting as first responder when payment flows degrade. This is a hands-on operational role for someone comfortable making decisions quickly on live money movement, and equally comfortable documenting why those decisions were made. What You’ll Be Doing Monitor transactions and manage alerts : monitor fiat and crypto transactions in real time, investigate anomalies and suspicious activity, review alerts from transaction monitoring, sanctions screening, and blockchain analytics tools, and escalate cases to Compliance/MLRO when required. Perform payment reconciliation : reconcile internal ledgers with banks, PSPs, card acquirers, exchanges, and on-chain records; investigate and resolve breaks, unmatched items, duplicates, failed settlements, and other discrepancies. Manage reconciliation exceptions and customer-impacting issues : maintain the exception log, drive root-cause analysis and resolution, and support refunds, returns, chargebacks, misdirected deposits, and fund recovery. Manage liquidity and positions : monitor fiat and crypto balances across accounts and platforms, execute funding, rebalancing, and sweep instructions, and identify liquidity shortfalls, concentration risks, and settlement timing mismatches. Handle payment incidents and operational issues : detect, triage, escalate, and track incidents through resolution; monitor payment provider and blockchain network health and take mitigating actions when necessary. Maintain operational processes and partner relationships : keep runbooks, playbooks, checklists, and escalation procedures up to date and act as an operational point of contact for banking, PSP, and exchange partners. Prepare operational reporting : produce regular MI covering transaction volumes, success/failure rates, alerts, reconciliation breaks, incidents, and liquidity utilization, providing reliable data for Finance and Treasury. Drive continuous improvement: identify recurring manual work and operational issues, propose automation and control improvements, and work with Product and Engineering to implement and test process improvements. Qualifications You Will Bring 3 years of relevant experience in payment operations, transaction monitoring, AML/financial crime operations, settlement, or treasury within payments, fintech, crypto, or banking. Strong understanding of payment rails: SEPA / SEPA Instant, SWIFT, Faster Payments, local ACH schemes, card acquiring, and open banking. Working knowledge of crypto operations: major blockchains, stablecoins, wallet structures, transaction tracing, confirmation/finality, and network/gas fees. Understanding of AML/CTF and sanctions requirements for virtual assets, including KYC/CDD, PEP and sanctions screening, source of funds, Travel Rule, SAR/STR escalation, MiCA, and local VASP requirements. Strong reconciliation and control mindset: comfortable working with ledgers, debits/credits, settlement cycles, cut-offs, and transaction discrepancies. Strong analytical and investigative skills: ability to work with raw transaction data, identify root causes, reach defensible conclusions, and clearly document findings. Advanced Excel/Google Sheets and preferably SQL: able to analyse large volumes of transaction and operational data. High attention to detail, sound judgement, and strong communication skills: able to work under time pressure, handle sensitive financial data with discretion, and communicate clearly in written and spoken English. Nice-to-Have Experience with blockchain analytics, transaction monitoring, and sanctions screening tools. Experience in crypto/virtual asset operations, particularly with stablecoins, on-chain investigations, and multiple blockchain networks. Experience with payment incident management and operational controls, including developing runbooks, escalation procedures, and process improvements. Experience working with automation, SQL-based reporting, or operational data analysis to reduce manual work and improve reconciliation and monitoring processes. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: Russia Workplace: hybrid ABOUT YOU  We are looking for a Site Reliability Engineer who is pragmatic, product-minded, and equally comfortable writing code and running production systems to join our Infrastructure department's SRE team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to own the application-level infrastructure and reliability of a high-traffic commerce domain end to end - from deploy pipelines and Kubernetes manifests to SLOs, capacity planning, and production readiness. Strong Kubernetes, observability, and software engineering skills are essential, along with experience in operating production services in a cloud environment (GCP/GKE or comparable) and partnering closely with product development teams. The ability to hold a dual perspective - understanding both how developers ship features and what infrastructure needs to stay reliable - and to bring the reliability lens into design decisions early will be key to your success in this role. If you're passionate about making complex distributed systems boringly reliable and love building the commerce and monetization backbone that lets game developers around the world get paid, we would love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Own the application-level infrastructure: Helm charts, Terraform configurations, Kubernetes deployments, runtime configuration, and service-level networking and integrations Own the domain's observability: design and implement SLOs/SLIs, monitors, alerts, and dashboards for critical services on Datadog and OpenTelemetry-based tooling Help to set up and evolve CI/CD pipelines for domain services (GitLab CI, GitHub Actions), including deploy and rollback automation Perform capacity planning and performance tuning ahead of expected load - product launches, sales events, and regional rollouts - including load testing and performance regression investigation Run Production Readiness Reviews for new services and major changes; define and enforce what "production-ready" means for the domain Support domain incident response: assist with deep investigation of complex incidents, contribute to post-mortems, drive follow-up reliability improvements, and maintain runbooks Build domain-specific automation that reduces operational toil: runbook automation, deploy helpers, recurring operational scripts Maintain and drive a forward-looking reliability roadmap for the domain together with product engineering leads Participate in product team planning, refinements, and architecture reviews, bringing the reliability perspective before design decisions become expensive to change Co-author company-wide SLO/SLI, capacity, and operational standards together with the broader SRE team; contribute improvements directly to shared SRE-operated subsystems Participate in the SRE duty rotation, supporting developers across the company Qualifications & Skills 3+ years of proven SRE, DevOps, or platform engineering experience: on-call or incident response duty, SLO/monitoring ownership, deploy pipeline and infrastructure work for production services Software development background: you have built and shipped backend services, not only operated them - comfortable reading application code during an investigation and writing production-quality automation in at least one language (e.g., Go, PHP) Hands-on Kubernetes experience: Helm, manifests, deploy strategies, debugging application-level performance and networking issues (GKE or another managed Kubernetes) Solid observability practice: building monitors, dashboards, and SLOs/SLIs on a modern platform (Datadog preferred; Prometheus/Grafana experience also relevant), familiarity with OpenTelemetry Infrastructure as Code exposure (Terraform/Terragrunt) for collaboration with platform teams GCP experience (IAM, networking, managed services) Experience building and maintaining CI/CD pipelines (GitLab CI and/or GitHub Actions) Programming/scripting proficiency sufficient to build automation and tooling (e.g., Python, Go, or Bash) Practical experience with incident response, post-mortems, and driving reliability improvements from incidents Strong collaboration and communication skills — this role works embedded with product development teams daily Experience in payments, fintech, e-commerce, or gaming — high-traffic transactional systems Nice to Have: Kubernetes certifications Google Cloud Platform certifications HashiCorp certifications Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: Worldwide We are looking for QA Engineers - Fullstack(Mobile) Junior+ to join one of our teams — Payments. What makes you a great fit: 1–2 years of experience in QA A proactive, persistent, get-it-done attitude — you enjoy chasing a problem across teams until it’s actually solved, not just reported Experience working with programming languages Java/Python Experience in mobile application testing (iOS/Android) Understanding of client–server and microservice architectures Knowledge of testing theory and test design techniques Experience in defect localization and working with logs Experience developing and maintaining test documentation, analyzing specifications, and the ability to decompose a feature into test cases B1 or higher English level for effective communication with an international team Your bonus skills: Hands-on experience in writing automated tests Experience with AI tools for testing Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Team time zone: The team works within the GMT+1 to GMT+5 time zone Our benefits: Relocation support to one of our hubs — Georgia — with assistance for the employee and their family Flexible work from one of our offices or remote Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursement Vacation policy: Annual leave and paid sick leave as per applicable policies

Location: Lincolnshire, IL Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. Shape the Future of LED Innovation LG Electronics is redefining what’s possible in large-format displays, and our DirectView LED (DVLED) solutions are leading the way in stadiums, control rooms, corporate campuses, and immersive experiences worldwide. We’re looking for an experienced Project Engineer II who thrives in the field, someone who can turn complex technical plans into flawlessly executed installations while building strong partnerships and delivering jaw-dropping results. In this role, you’ll be the on-site technical authority, guiding System Integration Partners from the first site visit to final sign-off. You’ll solve problems in real time, optimize installation workflows, and ensure every project reflects LG’s uncompromising quality standards. Why You’ll Love This Role: This isn’t just project engineering, it’s front-line innovation. You’ll work with cutting-edge LED technology, lead installations seen by thousands, and play a direct role in shaping how the world experiences digital displays. Every day in the field brings new challenges, new locations, and the satisfaction of building something unforgettable. What You'll Do As a Project Engineer I , you'll be at the forefront of delivering some of the industry's most innovative DirectView LED (DVLED) installations. Serving as LG's primary on-site technical representative, you'll partner with System Integration teams, customers, and cross-functional stakeholders to transform complex engineering designs into world-class visual experiences. Key Responsibilities Drive Project Success – Coordinate with Project Managers and System Integration Partners to ensure installations remain on schedule and are executed efficiently. Train Installation Teams – Provide installation and product operation training for system integrators, technicians, and LG personnel to ensure successful project execution. Serve as LG's Technical Expert – Act as the primary on-site technical liaison between customers, sales teams, vendors, and integration partners. Solve Complex Challenges – Partner with Technical Engineering teams to troubleshoot and resolve installation, configuration, and system integration issues. Ensure Site Readiness – Evaluate installation environments to verify site conditions, infrastructure, safety requirements, and overall project readiness before work begins. Validate Project Materials – Verify inventory, bills of materials (BOMs), shipping documentation, and equipment prior to installation. Capture Project Progress – Maintain accurate documentation, daily status reports, technical findings, and project updates throughout the installation lifecycle. Champion Product Innovation – Provide technical insights that directly influence next-gen DVLED product improvements while representing customer needs to Product Management teams. Represent LG at Industry Events – Support product demonstrations, trade shows, customer events, and LG Brand Innovation Centers with technical expertise and product setup. Provide Remote Technical Support – Assist customers and partners with troubleshooting and technical guidance when onsite support is not required. Required Qualifications Technical School certification in Electrical Engineering Technology (EET) or equivalent technical education. 2–4 years of hands-on DirectView LED installation experience. Working knowledge of DVLED technology, mounting systems, LED module handling, and installation best practices. Working knowledge of NovaStar and Megapixel LED display control systems, including controller configuration, commissioning, image mapping, and basic troubleshooting. Proficiency in Microsoft Office, Smartsheet, and design tools (Revit, AutoCAD, SketchUp, Visio). Strong ability to read and interpret A/V, electrical, and mechanical drawings. Understanding of IT, networking, and A/V system integration. Exceptional communication, time management, and decision-making skills. Proven analytical and problem-solving abilities. Skilled in documenting and escalating technical issues. Ability to lift and move heavy equipment safely. Comfort working in high-stakes, fast-paced environments—independently or as part of a team. Strong conflict resolution and de-escalation skills. Knowledge of site safety procedures, safe tool use, and ladder safety. Ability to safely use hand and power tools while following established job site safety procedures. Valid U.S. driver’s license and flexibility to travel extensively (75%). Preferred Qualifications Experience supporting large-scale commercial AV or DirectView LED installations. OSHA 10-Hour Construction Safety certification required; OSHA 30-Hour certification strongly preferred. Track record of successful cross-functional collaboration (Sales, Service, Project Management, Sales Engineering). Proven success supporting System Integration Partners and delivering exceptional customer experiences. #LI-DB2 Recruiting Range $80,000 — $95,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .