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Location: San Francisco Perplexity is seeking software engineers to join our Training Infrastructure team. We’re responsible for the large-scale RL and agent evaluation platforms that enable Perplexity to train state-of-the-art models and optimize agent harnesses. We are full-stack engineers with a broad remit. If you join us, you’ll build the distributed systems that orchestrate AI workloads across global-scale compute infrastructure. You’ll also define novel user and agent interfaces for designing, managing, and launching experiments. You’ll create tools that make experiment results legible to humans and agents alike, enabling everything from ad-hoc experiment retrospectives to closed-loop autoresearch. And much more! A strong candidate will possess both experience and passion for solving difficult problems at the intersection of AI, distributed systems, and research acceleration. QUALIFICATIONS - 2+ years of experience developing and shipping distributed systems for compute-intensive workloads, with a focus on reliability, scalability, and performance. - Proficiency in a general-purpose backend language such as Python, Rust, C++, or Go, and experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes. - Familiarity with reinforcement learning (RL), agent evaluation, or ML infrastructure, and an interest in building systems that accelerate experimentation and model development. - BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.

Location: Beograd, Serbia Workplace: hybrid About the role We’re looking for a highly autonomous Senior Data & ML Engineer who wants to be the true owner of how data works for the teams they support, delivering solutions completely end-to-end, from initial scoping and design through to delivery, implementation, and full business adoption. Operating with full autonomy, you will work directly with both commercial stakeholders (Product, Finance, Operations, Compliance, and Marketing) and engineering teams. You will translate complex needs into well-defined and well-modelled data products, using scalable processes and pipelines, ensuring those solutions are trusted, documented, and actively used to drive business value. Beyond foundational data architecture, you will support and lead machine learning engineering efforts. You will lead machine learning engineering efforts by transitioning predictive models into production. This involves building the infrastructure, automated MLOps pipelines, and serving architectures required to deploy, monitor, and maintain machine learning solutions at scale. What You’ll Be Doing Data Engineering and Platform Design, build, and maintain data pipelines and transformations on Databricks using Python, PySpark, and SQL. Deploy, operationalize, and monitor machine learning models (MLOps) in production environments. Build and maintain data marts as the primary source of truth for key business domains. Apply data modelling practices (e.g., dimensional modelling, medallion architecture) to maintain data consistency and reusability. Implement data quality checks, monitoring, and alerting. Optimise pipeline performance and cost-efficiency. Lead and actively contribute to engineering standards and process improvements across the data team. Ownership and Stakeholder Management Act as the primary data partner for specific business areas, understanding their processes, goals, and pain points. Deliver end-to-end solutions, managing scoping, discovery, design, delivery, user adoption, and iteration. Gather and translate business requirements into technical solutions. Communicate with engineering peers and commercial stakeholders to define priorities and manage trade-offs. Identify opportunities where data or machine learning can improve decisions, efficiency, or customer outcomes. Enablement and Self-Service Build and maintain datasets that power reporting and dashboards in Preset. Onboard and support users on Preset to promote data self-sufficiency. Promote data practices, including data definitions, documentation, and governance. What You’ll Need to Be Successful 5+ years of experience as a Data/ML Engineer, with a track record of independently owning data/ML solutions from scoping to adoption. Proficiency in Python, SQL, and PySpark/Spark. Experience with modern data platforms, such as Databricks (Delta Lake, Unity Catalog, MLflow, workflows). Stakeholder management skills, with the ability to navigate commercial and engineering discussions, manage expectations, and drive cross-functional decisions. Data modelling skills and experience designing data marts for analytics and reporting. Experience building production pipelines with orchestration, testing, monitoring, and version control. Experience with BI tools (e.g., Preset, Tableau, Metabase, Power BI) and data usability principles. Demonstrated accountability for project outcomes and commercial impact. Clear, structured communication in English. Nice to Have Experience in ML Engineering, including deploying machine learning models to production, maintaining MLOps pipelines, and integrating models into data platforms. Experience in fintech, financial services, or payments, particularly regarding transaction, reconciliation, settlement, or regulatory reporting data. Experience with sensitive or regulated data and an understanding of data privacy and governance (e.g., GDPR). Experience with infrastructure as code (Terraform/Tofu), cloud platforms (AWS, Azure, or GCP), and data engineering CI/CD. Experience mentoring engineers or analysts. Interest in applying AI tools to improve data engineering productivity and quality. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

You will own the inference serving stack: prefill/decode disaggregation, continuous batching, KV-cache management, speculative decoding, MoE serving, quantization, and GPU performance engineering with CUDA/Triton.

Location: Brussels, Belgium Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fuelling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing. Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job Tether and its affiliated entities (e.g. Bitfinex) are searching for an organized self-starter to join our Regulatory and Licensing team, to lead efforts in the European Union. The successful candidate is someone with an understanding of the regulatory environment pertaining to the crypto-asset industry / stablecoin industry in the Union, as well as broader legislation pertaining to topics such as communication technology and artificial intelligence, and who is excited by the opportunity to apply their existing regulatory affairs and / or legal experience in an exciting and dynamic business environment. To succeed in this role, the incumbent will continuously strive to self-develop and enhance their skill sets including understanding the Company’s products and services, blockchain technology, and regulatory requirements. You will have a focus around working with regulators to translate policy objectives of the companies into favourable regulatory requirements in the region, as part of enabling the broader business strategy across Tether’s business verticals. The successful candidate should be comfortable managing relationships and communications between various stakeholders both internal and external to the business, including regulators and policy setters, as well as working with cross-functional teams such as Operations, Finance, Technology, Business Development. You will report to the Vice President of the Regulatory and Licensing division, and work alongside project managers and members of the wider business to execute on regulatory affairs initiatives. Responsibilities Regulatory Affairs Maintain proactive relationships with policymakers, regulators, central banks, and financial intelligence units relevant to the Company’s product and service lines. Monitor regulatory developments impacting Tether and affiliates companies in the country. Represent the company in consultations, workshops, industry roundtables, and regulatory dialogues. Prepare briefing papers, comment letters, and policy submissions aligned with broader global regulatory strategy. Identify and successfully realise opportunities to shape emerging frameworks in a risk-sensitive, innovation-oriented manner. Strategy & Cross-Functional Collaboration Provide actionable risk and regulatory insights to internal stakeholders (legal, product, compliance, risk, commercial). Support enterprise-level planning for new products or expansions into the aforementioned countries, advising on regulatory constraints and enablers. Contribute to internal reporting and executive briefings on policy risks and regulatory trajectory regionally Minimum of 8 years governmental affairs / regulatory affairs / legal experience ideally within the financial services or crypto-asset industry in the EU, preferably Brussels based. Fintech or Digital assets exposure is important Experience engaging with regulators or government bodies advocating and advising in a regulatory capacity, with demonstrated achievements securing favourable policy positions on behalf of another organisation. Excellent written and verbal communication skills, with the ability to synthesise complex regulatory topics for non-technical audiences. Proven ability to manage multiple stakeholders across borders and time zones. Communication: Exceptional communication skills, both written and verbal, with experience in public speaking and representing companies in regulatory discussions. Must be a strong team player, and willing to be fully engaged with key stakeholders both in our company but also with our partners. Must be a hands-on professional capable of working collaboratively and independently. English speaking. Location: preferred location Brussels ( but open to other EU locations as well) Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

• Развивать и масштабировать сервисы под высокие нагрузки. • Участвовать в архитектурных решениях и ревью (RFC/ADR).

• Создавать с нуля AI-системы клиентской поддержки: чат, голос и базу знаний; • Проектировать агентов, маршрутизацию и интеграции вместе с инженерами;

Location: Москва Нам нужен опытный DevOps-инженер, который сможет построить и автоматизировать всю инфраструктуру: от развертывания виртуальных машин до отказоустойчивых CI/CD-конвейеров. Обязанности ### Вам предстоит: * проектировать, разворачивать и поддерживать облачную/on-prem инфраструктуру (AWS/GCP/Azure или другие) * настраивать виртуальные машины, кластеры (Kubernetes, OpenShift), балансировку нагрузки (HAProxy, LBOSSE), мониторинг и логирование * создавать и оптимизировать CI/CD-пайплайны (GitLab CI/CD, Jenkins и др.), поддерживать релизный процесс, DevSecOps * автоматизировать процессы с помощью Terraform, Ansible или аналогичных инструментов * обеспечивать безопасность инфраструктуры (IAM, VPC, Secrets Management, сетевые политики) * настраивать мониторинг и алертинг (Prometheus, Grafana, ELK) * работать с базами данных, бэкапами, disaster recovery * оптимизировать производительность и стоимость инфраструктуры. Требования ### Что для нас важно: * опыт от 5 лет в DevOps/SRE/Infrastructure * глубокие знания Linux, сетей, безопасности * опыт с облачными провайдерами  * опыт с контейнерами и оркестрацией (Docker, k8s)  * автоматизация CI/CD (GitLab CI, Jenkins) * обязательный опыт настройки nginx * умение работать с нуля и принимать архитектурные решения * опыт в базах данных PostgreSQL * опыт работы с IMDG (Ignite, Hazelcast) * знание Python/Bash/Go для автоматизации * понимание назначения и принципа работы брокеров сообщений (kafka/rabbitmq или других), опыт установки и настройки * инструментальное владение AI для анализа, генерации и автоматизации. Условия ### Мы предлагаем: * комфортный современный офис * офисный формат работы * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Singapore 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 We are seeking an Enterprise Account Executive, Industries – Manufacturing to lead Anthropic’s go-to-market in Taiwan from our Singapore hub. You will bring Claude to Taiwan’s leading high-tech manufacturers in semiconductors, electronics, and the AI hardware supply chain, helping them apply AI across engineering, operations, supply chain, and corporate functions. You will own the full sales cycle with C-suite and senior technical stakeholders, working with Product, Engineering, Applied AI, and Partnerships to shape solutions that fit the market. As one of Anthropic’s first commercial presences covering Taiwan, you will also help define our regional strategy and build the foundation for long-term growth, in a way that reflects Anthropic’s mission to ensure the world safely makes the transition through transformative AI. Key responsibilities Meet and exceed revenue targets by winning new enterprise accounts and expanding existing ones, while landing flagship references across Taiwan’s semiconductor, electronics, and broader manufacturing sectors Build and execute a territory plan that reflects Taiwan’s manufacturing landscape, including its buying behavior, regulatory environment, and data residency expectations Lead consultative sales with C-suite and senior technical leaders, positioning AI as a driver of business transformation Translate Claude’s technical capabilities into clear business value for manufacturing use cases Run technical discovery with engineering leaders and speak credibly about security, IP protection, and deployment options with customers whose designs and process data are their most sensitive assets Partner with Product, Engineering, Applied AI, and Partnerships to design tailored solutions and support complex deals Build co-sell motions with hyperscaler and system integrator partners, including joint customer engagements and marketplace procurement, to extend reach across the territory Identify new use cases and feed customer and market insights back into the product roadmap Represent Anthropic with customers, partners, and industry stakeholders in Taiwan, including conversations about the safe and responsible use of AI Minimum qualifications 10+ years in enterprise sales, business development, or account management, including selling to semiconductor, electronics, or other manufacturing customers in Taiwan Deep understanding of Taiwan’s high-tech manufacturing ecosystem, including how leading companies organize engineering, manufacturing, and supply chain functions, and where AI creates measurable value Track record of closing complex, multi-stakeholder enterprise deals Existing commercial network among Taiwan-based enterprises Fluency in Mandarin and English, with strong written and verbal communication and presentation skills Strong commercial judgment and the ability to work independently in a fast-moving, early-stage market Based in or willing to relocate to Singapore, with eligibility to work there and willingness to travel frequently to Taiwan Bachelor’s degree in a related field or equivalent experience Preferred qualifications Experience selling AI/ML, cloud, data platforms, or enterprise SaaS into manufacturing, semiconductor, electronics, or industrial sectors Experience co-selling with hyperscaler, channel, or SI partners Familiarity with regional data residency, AI governance, IP protection, and enterprise procurement requirements Interest in or experience with advanced AI systems and their safe development Understanding of Taiwan’s competitive and sovereign AI market, including hyperscaler presence, government-backed local models, and manufacturers building their own models 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. 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: San Francisco; Washington D.C. Perplexity is seeking an intrepid Member of Technical Staff to take on one of the AI industry's most unique engineering roles. You'll work directly with Perplexity's senior leadership to spearhead a broad portfolio of strategic technology initiatives across policy, law, operations, and corporate affairs. As a Member of Technical Staff in the Policy & Strategic Initiatives group, you'll occupy a front-row seat to the foremost policy issues animating the AI ecosystem. You'll also get a panoptic view of how leading AI companies operate, make decisions, and engage with broader society. Those seeking to marry technical expertise and broader interests in law, policy, and corporate affairs will find a home in this role. You'll make contributions to Perplexity that defy traditional boundaries, with a bench of mentors who will push you to learn and grow day after day. WHAT YOU'LL DO: Your work will be both highly interdisciplinary and firmly grounded in engineering rigor. On any given day, you might: - Harness AI agents to research high-stakes policy and regulatory issues pertaining to Perplexity. - Build automated platforms for harvesting, prioritizing, and patenting Perplexity's inventions, in collaboration with our AI researchers and intellectual property attorneys. - Work hands-on with our Legal team and outside counsel in support of high-tech litigation matters in U.S. federal court. - Engineer privacy and compliance systems that efficiently scale with our growing portfolio of frontier AI products (such as Comet https://www.perplexity.ai/comet and Computer https://www.perplexity.ai/products/computer). - Contribute to regulatory filings and responses that require impeccable command of AI technology, Perplexity's own systems, and the broader policy landscape. - Embed with our People team to implement first-party software solutions for recruiting, labor compliance, and performance management. - Participate in meetings with Capitol Hill, executive branch officials, international partners, and civil society as a subject-matter expert on both AI technology and policy. The above is a small sampling of activities; no two days will be the same, and your work will take you to all corners of our company. You'll interact each day with Perplexity's senior leaders, who will come to rely on you as a creative problem solver for simple and complex matters alike. WHO WE'RE LOOKING FOR: No single profile defines our ideal candidate for this role. Here are some examples of people who might thrive here: - Exceptionally talented early-career engineers (new grads welcome) who are (1) well-read in law, tech policy, or economics, and (2) wish to grow in both technical and non-technical disciplines. - We welcome candidates who plan to attend law school or PhD programs in the future; we ask for a minimum 2-year commitment (i.e., you would apply for the entering class of 2028 or later). - Experienced engineers at top tech companies who wish to develop policy, business, and operations chops. - Lawyers or economists (new JD or PhD grads welcome) who've kept their engineering skills sharp and are excited to reimagine their fields in the age of AI. - This is a non-exhaustive list; other profiles may also be great fits. No matter which profile describes you, we'll also be looking for: - Evidence of exceptional ability and 99th-percentile work ethic. - Strong technical skills at or above Perplexity's hiring bar for software engineers. - Fluency with frontier intelligence tools (such as Perplexity Computer https://www.perplexity.ai/products/computer). - High intrinsically-enforced standards for the craft and quality of your work. - Strong communication and writing skills, ideally demonstrated via samples of past written work product. - Curiosity and excitement about new and unfamiliar fields; eagerness to redefine your job every 3-6 months. - Ability to quickly dive deep in any given field and develop mastery rivaling that of domain experts. - Unimpeachable judgment, integrity, and discretion to be entrusted with the company's most important matters. - A service-oriented attitude that continually questions how company systems and processes might better serve stakeholders.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE We're looking for an experienced engineering leader to own one of the most critical areas within Platform: the runtime and stateful systems Sentry runs on. You'll lead multiple engineering teams and Staff engineers responsible for OLTP and OLAP databases, real-time compute and stream processing, blob storage, and distributed caching. These systems power Sentry's products, including Seer, and are mission-critical to the business. When they perform well, every product team moves faster. When they don't, the whole company feels the impact. You'll set the technical vision across these systems, lead significant architectural changes, and develop the engineering leaders and teams responsible for building and operating them. This role requires someone who brings deep technical judgment, thinks strategically, and has a track record of driving complex engineering initiatives from concept through execution. You'll have the opportunity to shape both the technical direction and organizational growth of a critical part of Sentry's platform as our products and infrastructure continue to evolve. This is a hybrid role based in the San Francisco Bay Area, with an expectation of working from our San Francisco office three days per week. IN THIS ROLE YOU WILL - Lead multiple engineering teams and Staff engineers responsible for the runtime and stateful systems supporting Sentry, Seer, and the products built on top of them. - Set the technical vision and strategy across multiple systems, identifying opportunities to evolve our architecture as the business scales. - Drive significant architectural changes and technical initiatives, making informed tradeoffs around scalability, reliability, performance, cost, and complexity. - Provide technical leadership across teams, working closely with senior engineers to evaluate architectural decisions, challenge assumptions, and establish technical direction. - Own the execution and operational excellence of mission-critical systems, ensuring teams deliver reliable, scalable, and high-performing platform components. - Build and develop a strong engineering organization, including hiring, mentoring, and growing engineering managers and senior technical leaders. - Foster a culture of engineering excellence, technical accountability, and continuous improvement. - Partner across Platform, Infrastructure, and Product to align priorities, navigate ambiguity, and deliver complex, cross-functional initiatives. - Anticipate evolving product and infrastructure needs, identifying opportunities to build new platform capabilities and improve existing systems. YOU'LL LOVE THIS JOB IF YOU - Enjoy solving complex distributed systems problems and have strong opinions about architecture, backed by experience and sound technical judgment. - Thrive in roles where you're equally responsible for technical direction, execution, and developing engineering leaders. - Like taking ownership of ambiguous technical challenges, establishing a clear strategy, and bringing teams together to execute. - Are passionate about building large-scale systems where reliability, performance, and efficiency directly impact the business. - Enjoy partnering with senior engineers, challenging technical assumptions, and helping teams make thoughtful architectural decisions. - Take pride in building high-performing teams, developing future leaders, and raising the engineering bar. - Want to shape the runtime foundation supporting Sentry's products and AI capabilities for years to come. QUALIFICATIONS - 12+ years of experience in backend, platform, or infrastructure engineering, with significant experience designing and operating large-scale distributed systems. - Director-level engineering management experience, or equivalent senior engineering leadership experience overseeing multiple teams at comparable scale and complexity. - Deep technical expertise in at least one of the following domains: - OLTP databases - OLAP databases - Real-time compute and stream processing - Blob/object storage - Distributed caching - Demonstrated experience driving significant architectural changes, including evaluating technical tradeoffs, establishing direction, and leading implementation. - Strong technical judgment and the ability to engage deeply in architectural discussions across multiple distributed systems domains. - Proven track record of leading complex, cross-functional engineering initiatives from strategy through execution, with measurable technical or business impact. - Experience hiring, developing, and leading engineering managers and senior technical talent. - Strong communication and organizational leadership skills, with the ability to articulate technical concepts, influence senior stakeholders, and align teams around a shared strategy. - Experience operating mission-critical infrastructure with a strong understanding of reliability, scalability, performance, and operational efficiency. The base salary range that Sentry reasonably expects to pay for this position is $300,000 to $450,000 USD, plus an annual performance bonus of up to 20% of base salary. A successful candidate’s actual base salary amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. Improve automation reliability, reduce flakiness, and optimize execution efficiency. Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications Bachelor’s degree in Computer Science or equivalent 5+ years of experience as an SDET or QE engineer focused on backend and distributed systems. Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. Strong experience testing RESTful APIs, microservices, and distributed architectures. Proficiency in Python, Java, JS or similar languages for automation development. Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). Familiarity with databases, monitoring, and observability tools. Strong understanding of SDLC, Agile methodologies, and release processes. Excellent problem-solving, debugging, and communication skills. Preferred qualifications Experience validating ML outputs using statistical analysis or scenario-based testing approaches. Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). Prior work in content moderation ML, security, fraud detection, or adversarial ML. Experience testing high-scale, low-latency online services. Experience with Databricks or similar ML platform tooling. Familiarity with Node.js, React, or modern frontend technologies. Experience testing mobile, console, or other non-PC platforms. What sets you apart Strong combination of automation engineering and delivery ownership. Ability to drive quality across complex cross-functional initiatives. Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. Proven risk management and dependency coordination skills. Ability to influence engineering teams and promote quality guidelines. Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $114,900 — $172,300 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Ecosystem Operations Specialist, you'll help turn GitLab's Ecosystem go-to-market strategy into reliable day-to-day execution. You'll be a trusted operational resource and first point of contact for sellers, Ecosystem Sales Managers, partners, and cross-functional teams, supporting partner business from account setup and deal registration through quoting, ordering, and post-sales operational support. You'll resolve standard issues, improve processes and data quality, and route commercial, policy, finance, legal, and systems decisions to the right owners so Ecosystem Sales Managers can focus on partner strategy, pipeline creation, and deal progression. What you'll do Execute partner-sourced and partner-influenced workflows, including intake, account and opportunity setup or linking, deal registrations, cloud co-sell referrals, validation, routing, approval follow-up, and standard issue resolution. Process partner quote requests against documented pricing and program requirements, receive purchase orders, and prepare opportunities for closure with Sales, Deal Desk, Billing, and Finance. Support marketplace and two-tier transactions involving distributors, resellers, and cloud providers. Guide partners, distributors, sellers, and Ecosystem Sales Managers through operational questions, including attribution, program compliance, and post-sales support. Identify and route exceptions requiring commercial, policy, contractual, pricing, payment, or systems decisions to the appropriate owner. Execute and improve partner program workflows, including onboarding, not-for-resale licensing, certifications, rebates, Professional Services Partner eligibility, Letters of Authorization, and channel price files. Collaborate with Programs and policy owners on required notifications, documentation, and compliance reporting. Monitor Salesforce and partner-management data for missing links, incorrect ownership, incomplete attribution, failed synchronization, and recurring defects. Support month-end close, recurring data controls, and ad hoc reporting tied to projects and company objectives and key results. Build and present dashboards and business updates on backlog, aging, turnaround time, approvals, pipeline, attribution, data quality, compliance, and process health. Share trends, risks, blockers, and recommended actions in regional and global partner team meetings. Investigate recurring friction and manual work, document root causes and operational requirements, test process or system changes, and support automation and scalable self-service improvements. Maintain process documentation, how-to guides, and best practices, and deliver office hours, operational training, and communications when processes or systems change. What you'll bring Relevant experience in partner operations, sales operations, deal desk, order management, finance operations, or a similar revenue operations environment, including direct support for sales or partner sales teams, distributors, and partners, along with an interest in GitLab and open source software. Experience with enterprise quote-to-cash processes and configure, price, quote tools or other commercial systems in a channel or partner context. Experience with Salesforce and partner-management systems or portals. Strong analytical skills, including advanced spreadsheets, dashboard building in Salesforce or business intelligence tools such as Tableau, and turning data into clear recommendations. Hands-on experience using generative artificial intelligence (AI) tools to improve operational productivity, quality, or scale, including writing effective prompts, judging when outputs need human review, and sharing useful approaches with others. Strong problem-solving skills, attention to detail, and the ability to prioritize requests, investigate issues, identify exceptions, and escalate decisions to the appropriate owner, along with experience contributing to process improvement and automation. Clear written and verbal communication, including explaining operational requirements to technical and non-technical audiences, documenting processes, creating enablement materials, and collaborating across Sales, Ecosystem, Programs, Deal Desk, Finance, Legal, Billing, and Systems. Preferred experience includes Impartner or similar tools, SQL, or Snowflake. About the team The Ecosystem team supports GitLab's partner go-to-market strategy. In this role, you'll work with Ecosystem Sales Managers, global distributors, partners, sellers, and cross-functional teams to keep partner operations moving and make process health visible. We focus on accurate transactions, reliable partner data, consistent program execution, and reducing operational friction so our Ecosystem Sales Managers can focus on partner strategy and field engagement. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $86,400 — $146,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: United States Overview Smartling is an AI-native translation platform that's redefining how the world's biggest brands go global — ranked #3 on Fast Company's Most Innovative Companies list . We're growing rapidly at scale and are backed by Battery Ventures, a global technology-focused investment firm. While most companies are still figuring out how to use AI, we've spent years building it into the core of our platform — and we're just getting started. The Web Integrations Support Engineer is part of the Professional Services team at Smartling. The mission of the team is to help customers rapidly integrate Smartling solutions in a way that is sustainable and scalable. You will be responsible for ongoing maintenance of customer integrations based on Smartling’s GDN (web proxy) solution to ensure that the integration continues to meet customer needs as their sites change over time. We are looking for a professional with a track record of successfully supporting enterprise-grade technical solutions, who can communicate complex concepts and ideas effectively, and who takes a systematic troubleshooting approach when dealing with live customer issues. We are currently considering candidates based in the Pacific and Mountain time zones. You Will Own customer tickets end to end, with clear written root-cause explanations and next steps Run troubleshooting sessions and workshops with customer engineering teams, advising them on integration best practices Escalate to and collaborate with Engineering with clear reproduction steps when an issue needs a product fix Build scripts and tooling, to make diagnosis and configuration faster and safer Work with technical and business stakeholders to understand requirements and recommend sustainable solutions Make changes to live production configuration with care: testing safely, planning for rollback, and telling customers what changed and why Act with precision and urgency when customers are affected, and manage changing scope and ambiguity without losing momentum Keep learning about new web technologies and contribute to process and tooling improvements You Have A bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience 2+ years in a customer-facing technical role such as Support Engineer, Solutions or Technical Consultant, or similar, focused on technical troubleshooting, solution design or implementation 2+ years of hands-on experience with HTTP, HTML, CSS (including writing robust selectors), JavaScript and REST APIs Strong skills with browser DevTools and network debugging, and an understanding of how pages are built and rendered in the browser Working knowledge of proxies, CDNs, web servers, DNS/TLS and caching, plus web security basics (CSP, CORS, cookies, WAFs) Comfort with regular expressions, plus the ability to write scripts (JavaScript, Python or Bash) Experience diagnosing issues from logs and request traces (Quickwit, Grafana, Kibana, Splunk or similar) A methodical, hypothesis-driven approach to complex problems Excellent written and spoken communication, with the ability to advise and persuade both technical and non-technical audiences The ability to drive outcomes despite complexity, ambiguity or shifting priorities Preferred but not required Experience with modern front-end frameworks (React, Next.js, Vue) and client-side rendering Familiarity with CMS platforms (e.g., AEM, Sitecore, WordPress, Contentful) Hands-on experience with Nginx or similar proxy and web server configuration Knowledge of SEO fundamentals (hreflang, canonical tags, sitemaps) Experience with translation, localization and internationalization, including awareness of RTL and CJK languages, character encoding and locale formatting, and/or fluency in multiple languages Software development experience You Will Enjoy Freedom 🏡 - we are remote-first Growth  - an opportunity to learn and advance your career Wealth 💰 - we offer a competitive salary and 401(k) + company match Wellness - health insurance; free medical plan for you and your family Balance - flexible PTO + 11 holidays; generous parental leave Culture 🤝- an energetic, value-driven, and fun culture and team spirit Bonus - employee referral program and Apple equipment Smartling is proud to be an equal-opportunity employer. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, skills, and experiences. We use the E-Verify platform for work authorization verifications. The US national total pay range for this role is $90,000 - $110,000. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed. *To work from home, you must have a strong internet connection, a quiet space, and a professional (distraction and clutter-free) background.

Location: United States Overview Smartling is an AI-native translation platform that's redefining how the world's biggest brands go global — ranked #3 on Fast Company's Most Innovative Companies list . We're growing rapidly at scale and are backed by Battery Ventures, a global technology-focused investment firm. While most companies are still figuring out how to use AI, we've spent years building it into the core of our platform — and we're just getting started. The Solution Architect/Technical Implementation Manager is part of the Professional Services team at Smartling. The mission of the team is to help customers rapidly integrate Smartling solutions in a way that is sustainable and scalable. As a Solution Architect, you are the hands-on advisor, technical expert, and problem solver. You will be leading various technical integrations and implementations, solving the most challenging problems in the content localization space, and designing sustainable solutions to support our customers’ growing localization needs. The Solution Architect is an Engineering-adjacent role. Accordingly, a strong technical background is required for this role.  We are looking for a professional who has a track record of successfully designing and implementing enterprise-grade technical solutions, who communicates complex concepts and ideas effectively, and who demonstrates creativity in solving challenging problems for customers. We are considering candidates based in the East and Central time zones only at this time. You Will Interact with both technical and business users to gather requirements, analyze information, and design comprehensive and scalable solutions Effectively and proactively manage process changes with business and technical stakeholders to drive implementations forward Act with precision and urgency to provide customers with best-in-class support, and lead workshops and troubleshooting sessions with customer technical teams to resolve complex issues Continuously articulate best practices to encourage optimal integration and platform adoption, laying the foundation for the long-term success of customers Stay curious about new technologies, develop new tools, and contribute to process improvement You Have A bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience 3+ years of relevant experience as a Solution Architect, Technical Consultant, or in a similar customer-facing role that focuses on technical solution design and implementation Strong analytical skills when it comes to complex problems, and are not intimidated by technical challenges 2+ years of applied experience with modern web technologies (e.g. HTTP, HTML, CSS and JavaScript), and REST APIs Excellent communication skills with the capability to advise/persuade technical and non-technical stakeholders Ability to drive outcomes despite complexity, ambiguity or changing scope Familiarity with at least one programming/scripting language and able to read/write scripts A home office setup conducive for working remotely, and ability to work effectively as a remote team member* Preferred but not required Knowledge of Content Delivery Networks (CDN), web servers, and proxy technologies such as Nginx Familiarity with Content Management Systems (CMS) Software development experience Experience with file engineering and regular expressions Hands-on experience with Splunk, Kibana or similar technologies Experience with translation, localization, and internationalization processes and/or fluency in multiple languages You Will Enjoy Freedom 🏡 - we are remote-first Growth  - an opportunity to learn and advance your career Wealth 💰 - we offer a competitive salary and 401(k) + company match Wellness - health insurance; free medical plan for you and your family Balance - flexible PTO + 11 holidays; generous parental leave Culture 🤝- an energetic, value-driven, and fun culture and team spirit Bonus - employee referral program and Apple equipment Smartling is proud to be an equal-opportunity employer. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, skills, and experiences. We use the E-Verify platform for work authorization verifications. The US national total pay range for this role is $100,000-$120,000. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed. *To work from home, you must have a strong internet connection, a quiet space, and a professional (distraction- and clutter-free) background.

Location: New York; United States; United Kingdom; London 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 ElevenLabs is building its first private equity and growth investor partner channel, and you’ll be the first person to own it. You’ll embed ElevenLabs in funds’ value-creation programs and drive AI adoption across their portfolio companies, so we sell portfolio-wide through the sponsor instead of one company at a time. You’ll work with Operating Partners, Value Creation teams and portfolio executives on the fund side, and with our Sales, Solutions Engineering and Customer Success teams internally. You’ll report to the Global Head of BD & Partnerships and own the pipeline and ARR sourced through PE partnerships. This role suits someone who has worked inside a PE or growth-equity firm and now wants to build the channel from the technology side. Responsibilities - Launch the ElevenLabs PE & Growth Investor Partner Program and recruit the first 8–10 partner firms - Build executive relationships with Operating Partners, Value Creation leaders and investment professionals - Structure partnership agreements, joint GTM plans and commercial models - Identify priority portfolio companies and build joint account plans with PE operating teams - Work with AEs, FDEs, Customer Success and Product to take portfolio deployments from introduction to production - Own PE-sourced pipeline and ARR, and expand single deployments into portfolio-wide programs - Build repeatable playbooks and represent ElevenLabs at PE conferences and operating-partner forums Requirements - Experience inside a PE or growth-equity firm as an investor or operator (investing, value creation or portfolio operations) - Go-to-market or partnerships experience at a technology company after that fund-side work - 6+ years of experience across private equity and enterprise AI, cloud or software - Strong relationships with Operating Partners and Value Creation teams - A track record of turning PE relationships into measurable pipeline and revenue - Executive presence with Managing Partners, Operating Partners and portfolio CEOs - Comfortable carrying a number and building a motion from zero Bonus - Built a PE or growth-investor partner program at a high-growth or large tech company - Experience selling AI or automation into support, contact center or sales use cases - Hands-on use of voice or chat agents, including ElevenLabs Location This role is remote-first, with NYC or London preferred. 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. 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; New York City Workplace: Hybrid We're hiring a Compensation Lead to build Perplexity's compensation function and own its day-to-day execution. You'll build the programs and processes that support how we hire, recognize, and retain people. You should be comfortable moving between program design and an individual offer, building longer-term structure while keeping today's decisions moving. The goal is a compensation approach that is competitive, financially sound, and clear enough for people to use, without adding unnecessary complexity. WHAT YOU'LL OWN - Build the compensation foundation. Assess existing practices, data, and tools; prioritize the gaps; and develop recommendations on compensation philosophy, market positioning, and cash and equity guidelines. - Develop salary ranges and market benchmarks. Establish a consistent approach to pricing roles across functions and locations. Partner with People and business leaders on job scope and leveling, and explain where market data is useful or incomplete. - Own day-to-day compensation decisions. Be the primary partner for offers, promotions, pay adjustments, and compensation questions. Evaluate recommendations against market data, internal equity, and budget, with clear approval paths for exceptions. - Design and run compensation reviews. Build the calendar, planning models, manager guidance, and approval process. Coordinate with Finance, People Operations, Payroll, and equity partners to carry decisions through to accurate implementation. - Inform leadership decisions. Model the cost and employee impact of proposed changes to salary and equity programs. Present a recommendation and its trade-offs, then own execution once approved. - Identify and address inconsistencies. Assess pay compression and potential inequities across teams, levels, and locations. Partner with People leadership and Legal on appropriate reviews and recommend actions. - Build processes people can use. Establish decision records, recruiter and manager guidance, and clear explanations of compensation programs. Improve recurring workflows so consistent decisions don't depend on individual knowledge or one-off conversations. - Own the data and tools behind the work. Establish reliable compensation records, select and manage benchmarking resources, and improve reporting and quality checks. Use approved automation and AI tools where they help, with appropriate protection for employee information and verification of results. WHAT YOU BRING - Experience building compensation programs: You've established or substantially rebuilt compensation frameworks and processes with limited infrastructure, and stayed accountable for running them after launch. - Technical compensation depth: Hands-on experience with market pricing, salary ranges, cash and equity programs, compensation reviews, and individual pay recommendations. - Strong analytical judgment: You can build and audit models, reconcile imperfect data, and explain your assumptions. You know when a benchmark is a useful comparison and when it misses the role. - Ability to influence decisions: You can turn analysis into a clear recommendation, discuss trade-offs with leadership, and constructively challenge an approach that isn't working. - Independent, hands-on execution: You can set priorities, build a workable process, and manage urgent requests without losing progress on longer-term work. You're comfortable being both the person designing the program and the person checking the data. - Discretion and clear communication: You handle sensitive information carefully and explain compensation decisions in language that recruiters, managers, and employees can understand.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role:  We are seeking talented distributed systems engineers who are passionate about building innovative solutions for application deployment. Your mission will be to enhance the capabilities of Replit Infrastructure, optimize performance across global regions, and drive efficiency while delivering an exceptional user experience. If you have a strong foundation in software development, a deep understanding of cloud technologies, and a track record of delivering high-quality code, we want to hear from you.  In this role you will: - Expand Replit's cloud infrastructure offerings: Launch new cloud products to be used by Replit Agent to build complex apps. Collaborate with cross-functional teams to design and implement these features, empowering developers with a comprehensive suite of tools to build and deploy their applications efficiently. - Enhance reliability and scalability: Identify bottlenecks, optimize critical paths, and implement robust monitoring and alerting systems. Work closely with the SRE team to ensure high availability and minimal downtime. Enable our customers to seamlessly scale their applications to meet the demands of their growing user base. - Improve utilization of cloud infrastructure: Analyze our infrastructure costs and identify opportunities for optimization. Implement strategies to reduce cloud expenses without compromising performance or reliability. This could involve techniques such as resource provisioning, auto-scaling, cost-aware scheduling, and data lifecycle management. Your efforts will directly contribute to the financial efficiency of our cloud services. Required skills and experience: - Distributed systems: Track record of working with platform-as-a-service, distributed storage, or information retrieval systems. Experience in designing scalable architectures and optimizing systems for latency or cost.  - Problem-solving mindset: Ability to approach complex challenges pragmatically and devise effective solutions. You think radically but ship incrementally. - Self-directed and autonomous: Able to work independently, set priorities, and drive projects forward. You take ownership and initiative. - Versatility and flexibility: Able to wear multiple hats and tackle a wide range of challenges. You are comfortable working across different layers of the stack and adapting to the needs of the project. - Continuous learning and adaptability: Passionate about staying up-to-date with industry trends and expanding your skill set. You embrace change and adapt quickly. Nice to have: - Experience working on cloud infrastructure or platform products, particularly in the areas of application deployment, serverless computing, or container orchestration. - Familiarity with Google Cloud Platform (GCP) services and tools, such as GCE, GKE,, Cloud Run, or Cloud Storage. - Contributions to open-source projects related to cloud technologies, deployment frameworks, or developer tools. We love OSS! Tools + Tech Stack for this role - Golang, Rust This role may not be a fit if - You are a generalist backend engineer who hasn’t built scalable distributed systems. - You cannot take part in the oncall rotation of min 6 people. - You do not enjoy diving into Linux internals.  This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In the US, the base compensation range for this role is $183,858 - $220,630. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .