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Location: Boston, MA; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC 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 an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. As an Enforcement Analyst focused on Agentic Alignment, you will play a crucial role in identifying and investigating harmful and unexpected behavior by models, and make enforcement decisions accordingly. You'll work closely with a suite of cross-functional teams, within and outside of Safeguards, including: Policy, Threat Intel, Engineering, Research, and Transparency. Your work will be essential in maintaining Anthropic's commitment to safe and beneficial AI as Claude takes on more autonomous work. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams. Key responsibilities Review and investigate potential instances of Agentic Misalignment, working from transcripts, tool-use traces, and code Triage cases by severity and urgency and share through the appropriate channels Help operationalize review pipelines for agentic cases, translating leads from detection outputs and investigations into structured review workflows that scale Make enforcement decisions under the Usage Policy, applying it consistently to novel agentic scenarios and across surfaces, and documenting the reasoning behind each decision Assess cyber-related agentic activity, such as scanning, exploitation attempts, credential misuse or malicious code to determine its real-world harm potential Write clear, well-evidenced case write-ups for audiences ranging from enforcement peers to senior leadership Identify patterns and trends across cases, and close the loop between enforcement outcomes and upstream improvements by feeding findings back to policy, detection and research teams to improve policies, classifiers and model behavior Maintain rigorous documentation of enforcement decisions, review logic and precedents to build institutional knowledge Collaborate with Threat Intelligence, Research, Engineering and Policy partners so that detection coverage keeps pace with how agentic misuse and misaligned behavior evolve Use AI systems, including Claude, to accelerate your own investigations: summarizing long transcripts, analyzing code, querying data and building lightweight tooling Contribute to regular reports on agentic harm trends and enforcement outcomes Minimum qualifications Can read and understand code (for example Python, JavaScript or shell scripts) well enough to follow what happened and why it matters Have a background in security, cyber threat intelligence, or a similar technical field that lets you understand how cyber harm happens and judge its severity Have experience in trust and safety, enforcement, investigations or a related field, translating ambiguous policy questions and facts into defensible enforcement decisions and clear written findings Have conducted structured investigations, building a case from first signal to final finding and knowing when the evidence is strong enough to act on Have supported or contributed to formal enforcement actions, including case documentation, evidence packaging and escalation coordination Write clearly and concisely, and can present complex findings to stakeholders across Legal, Policy and Engineering, including non-technical audiences Have sound judgment about when a case needs escalation, and the resilience to work with difficult content Preferred qualifications Have demonstrated use of AI systems to accelerate your own work, and are excited to keep finding new ways to do so Are comfortable working with large volumes of data, from long transcripts, logs and traces to complex, multi-table datasets, and surfacing the behavioral patterns that matter Are curious about how AI agents behave, and enjoy investigating behavior no one has categorized before, building approaches where established playbooks don’t exist Have familiarity with AI safety and alignment, and current debates about the risks of increasingly autonomous AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 — $285,000 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. 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: Jakarta, Indonesia; Kuala Lumpur, Malaysia Eram Talent, a division of Eram Group, provides human resources, industrial projects, and maintenance services solutions across a wide range of sectors, including oil and gas, petrochemicals, power, infrastructure, water, mining, healthcare, and IT. With a strong presence across complex industrial environments, the company supports clients with specialized expertise that helps keep critical operations safe, reliable, and efficient. This role focuses on providing process-engineering support to the power generation block, with an emphasis on equipment performance, thermodynamic analysis, operational troubleshooting, and plant optimization. You will contribute to the safe and efficient operation of utility systems by working closely with operations and technical teams to evaluate performance trends, investigate deviations, and support improvement initiatives across key power-generation assets. If selected, the work location would be onsite at Saudi Arabia. Responsibilities Monitor and evaluate Power Generation Block equipment performance daily using process data analysis, efficiency calculations, heat-rate assessments, KPI tracking, and dashboard updates. Perform engineering calculations, thermodynamic assessments, equipment evaluations, and technical studies to identify efficiency losses and improvement opportunities. Assess heat exchangers, steam-turbine-generator condensers, HRSGs, and cooling systems for heat transfer, fouling, and thermal efficiency. Support diagnostic programs for gas and steam turbines, review monthly performance reports, coordinate with OEMs, and develop corrective actions. Investigate process deviations, operational upsets, efficiency losses, and equipment performance issues. Provide daily process-engineering support to Operations, recommend corrective actions, optimize operating parameters, and review SOPs and EOPs. Support mechanical integrity programs and evaluate process impacts on equipment health. Conduct feasibility and improvement studies covering plant efficiency, reliability, steam-cycle performance, water consumption, and emissions. Support plant modifications, MOC activities, design notices, risk assessments, root-cause analyses, and commissioning. Prepare technical reports, performance summaries, recommendations, operating guidelines, and unit trip reports within 24 hours of an upset. Requirements Strong understanding of IGCC power-generation processes, P&IDs, PFDs, and H&MBs, including syngas-fired gas turbines, HRSGs, steam turbines, steam-cycle systems, and power-block interfaces with gasification complexes. Advanced understanding of power-block equipment and steam-cycle systems, with the ability to evaluate equipment performance, heat rate, efficiency, and thermal losses using sound engineering principles and performance-analysis techniques. Ability to perform heat-and-mass balance calculations, energy accounting, process-performance evaluations, troubleshooting, root-cause analysis, and performance-gap investigations. Knowledge of mechanical integrity, asset management, process safety, Management of Change, HAZOP methodology, risk assessment, environmental compliance requirements, and plant operating procedures. Proficiency with process simulation, thermodynamic modeling, and performance-analysis tools such as Aspen Plus, Aspen Plus Dynamics, Aspen HYSYS, GateCycle, or equivalent. Strong capability in process-data analysis using DCS, PI Historian, and performance-monitoring systems to evaluate plant performance and identify operational deviations. At least 7 years of relevant experience in power generation plants, combined-cycle systems, steam systems, boilers, turbines, power distribution, or energy efficiency. Bachelor’s degree in Mechanical Engineering, Process Engineering, or a related field. Experience in petrochemical, refining, gas processing, chemical manufacturing, gasification, fertilizer, power generation, or large industrial utility operations. Professional proficiency in English and effective communication skills for technical reporting and team collaboration. A PE certificate is a plus.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: You'll be the product manager for our Canvas and Agentic AI teams - the teams building Honeycomb's AI-powered investigation experience. Canvas lets engineers use natural language to query, visualize, and understand their production systems. We're pushing well past chat: we're building Skills (pre-configured workflows that encode domain expertise into repeatable, executable actions), Auto-Investigations (agent-driven investigations that kick off before a human gets paged), and a rearchitected Canvas that's both interactive and collaborative. You'll work in a tight triad with engineering and design leads, owning the roadmap for how AI shows up in Honeycomb, from the product UI to our MCP server. You'll partner with our Director of AI Strategy, Research & Development teams, and our customer-facing teams to stay grounded in what customers actually need while pushing toward something meaningfully different from what exists today. This is a role for someone who can hold both execution and ambiguity: shipping production features while navigating a product space where the right answers are still emerging. What you’ll do in the role: Define AI product strategy in service of Honeycomb's vision Synthesize AI trends, customer needs, and technical capabilities into clear strategic recommendations Help the product organization understand where and how AI creates genuine customer value vs. where it's hype Identify emerging observability challenges created by AI adoption (e.g., LLM drift, prompt regression, low-context generated code) Make informed bets about which AI technologies and approaches warrant investment Conduct research that bridges technology and customer reality Build deep understanding of how customers are adopting AI in their engineering workflows Identify patterns across customer conversations that signal future market needs Stay current with AI/ML developments (RAG, fine-tuning, agentic systems, etc.) and translate implications for observability Engage with technical communities, researchers, and early adopters to spot trends before they go mainstream Enable AI innovation across the product portfolio Partner with product teams to identify high-value opportunities to leverage AI capabilities Provide guidance on AI approaches, trade-offs, and best practices without centralizing all decisions Help teams understand how their work fits into our broader AI strategy and how to leverage shared capabilities Synthesize cross-portfolio learnings and socialize what's working (and what isn't) Evangelize the AI-observability connection Articulate Honeycomb's point of view on AI observability both internally and externally Help customers understand how observability needs evolve as they adopt AI Contribute to thought leadership through writing, speaking, and community engagement Build credibility with technical audiences who care deeply about how we use AI, not just that we use it What you’ll bring to the role: Proven AI product experience 5+ years in product management with at least 1+ year shipping AI/ML-powered products Track record of taking AI features from concept to customer impact, including things that didn't work Deep understanding of how engineering teams actually build, deploy, and operate AI systems (not just theoretical knowledge) Familiarity with current AI/ML techniques and the judgment to know when they're applicable vs. overhyped Strategic thinking with customer empathy Ability to synthesize disparate signals (research, customer feedback, technical trends) into coherent strategy Comfort operating with ambiguity and making decisions without perfect information Pattern recognition across conversations—spotting what customers aren't yet saying clearly Strong judgment about when to say "no" or "not yet" despite exciting technology Technical credibility without needing to be the expert Enough technical depth to have earned respect from engineers and architects Genuine curiosity about how things work, paired with humility about what you don't know Ability to evaluate trade-offs between different AI approaches (RAG vs. fine-tuning, model selection, etc.) Understanding of observability principles and why they matter in production systems Communication and collaboration skills Excellent written and verbal communication—can explain complex ideas clearly to varied audiences Ability to influence without authority across product, engineering, and go-to-market teams Comfort presenting to customers, executives, and technical audiences Collaborative mindset that elevates others' work rather than centralizing control Curiosity and learning orientation Demonstrated ability to stay current in fast-moving domains (AI is evolving weekly, not yearly) Intellectual humility—you're more interested in learning than being right Excitement about the intersection of AI technology and real customer problems Energized rather than exhausted by the pace of change in AI Base Salary based on level of experience $272,739 — $320,829 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

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.

О проекте Международный проект в области AI Security, связанный с разработкой сред, которые помогают LLM-моделям проходить обучение с подкреплением для задач, связанных с кибербезопасностью. Эти среды содержат задания в различных областях кибербезопасности (пентестинг, реагирование на инциденты, эксплуатация, вредоносное ПО и т.д.), цель — создавать достаточно сложные задачи, чтобы модель допускала ошибки, но которые остаются решаемыми для профессиональных специалистов. Важно: это не классическая позиция Pentester или Red Team Engineer. Основная задача — создавать сложные, но реалистичные и проверяемые security-сценарии, в которых LLM-модели совершают ошибки именно из-за недостатков в рассуждении (reasoning), а не из-за неоднозначных инструкций или ограничений среды. Задачи: — Проектировать security-сценарии для оценки и обучения LLM-моделей — Создавать environments с использованием GitHub, Slack и других инструментов, встречающихся в реальной разработке — Разрабатывать задачи, требующие сложного многошагового reasoning — Моделировать реальные offensive security-сценарии (supply chain attacks, malicious pull requests, exploitation через GitHub Actions и другие техники) — Проверять разработанные сценарии на нескольких frontier-моделях и анализировать причины их ошибок — Формулировать ожидаемое поведение модели и описывать, почему конкретная ошибка считается reasoning failure — Автоматизировать создание и проверку задач с использованием Python и других инструментов Требования: — 5+ лет практического опыта в Offensive Security, Application Security или Web Penetration Testing — Практический опыт AI Red Teaming / LLM Security — Глубокое понимание современных техник атак и поверхности атаки веб-приложений, API, GitHub, CI/CD и связанных экосистем — Практический опыт проведения penetration testing и исследования безопасности приложений — Опыт разработки на Python и/или JavaScript — Навыки статического и динамического анализа кода (Python, JavaScript, Java) — Умение самостоятельно исследовать новые направления, проектировать сложные сценарии и объяснять результаты своей работы — Свободный английский язык (Upper-Intermediate / B2+) — Практический опыт работы с современными LLM-моделями — Понимание особенностей их работы, ограничений и типичных failure modes — Интерес к AI Security и исследованию поведения LLM — Опыт работы с Agentic AI, AI Agents или Model Evaluation Будет большим плюсом: — Опыт исследований безопасности GitHub Actions, CI/CD, Supply Chain Security — Сертификаты OSWE, eWPTXv2, OWEE, OSWA или аналогичные — Публикации, write-ups, участие в Bug Bounty, HackTheBox, TryHackMe, Pwn2Own или других исследовательских проектах — Способность придумывать новые, не похожие на существующие сценарии атак, которые сломают сильную модель, исследовательское мышление и креативность Условия: — B2B-контракт (с ИП) — Оплата в долларах США — Part-time/Full-time: почасовая оплата за выполненные задачи, 1 задача занимает около 10-12 часов — Локация — строго вне РФ/РБ

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: 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: United States Workplace: Remote Coder is looking for an Executive Assistant to support our Chief Revenue Officer (CRO) and Chief Marketing Officer (CMO). You'll help both leaders stay focused on the decisions, relationships, and priorities that move our business forward. Your work will keep two fast-moving organizations organized, connected, and prepared. In this role, you'll manage complex schedules, coordinate executive communications, and bring structure to competing priorities. You'll work closely with leaders across Sales, Marketing, and the broader company to keep important work on track. We need someone who anticipates what's next, handles sensitive information with care, and makes the day-to-day easier for everyone involved. WHAT YOU'LL DO HERE - Serve as a trusted partner to our CRO and CMO, anticipating their needs, managing competing priorities, and helping them stay focused on what matters most. - Manage complex calendars across multiple time zones, making thoughtful decisions about scheduling, prioritization, and executive availability. - Coordinate executive meetings, including agendas, preparation materials, logistics, action items, and follow-ups to keep decisions and commitments moving forward. - Own domestic and international travel arrangements, itineraries, expenses, and related logistics, adapting quickly when plans change. - Facilitate clear, timely communication with internal and external stakeholders, including drafting correspondence and coordinating executive requests. - Partner across Sales, Marketing, and other teams to coordinate leadership meetings, team offsites, customer engagements, and company events. - Identify opportunities to improve workflows, streamline administrative processes, and bring greater efficiency to how our executives and teams operate. WHAT WE'RE LOOKING FOR - 5+ years of experience supporting senior executives, ideally at the VP or C-suite level in a fast-paced technology company. - Proven ability to support multiple executives simultaneously, balancing competing priorities and adapting to different working styles. - Exceptional organizational skills, attention to detail, and the ability to manage complex schedules, logistics, and deadlines. - A proactive, resourceful approach to problem-solving, with the ability to anticipate needs, exercise sound judgment, and operate independently. - Strong written and verbal communication skills, with the confidence to collaborate with stakeholders at all levels of the organization. - Discretion, professionalism, and good judgment when handling sensitive information and confidential business matters. - Comfort navigating ambiguity and shifting priorities, along with proficiency with AI, Google Workspace, Slack, Zoom, and other collaboration tools. BONUS TACOS IF YOU HAVE - Experience supporting Sales, Revenue, or Marketing executives at a scaling startup. - Familiarity with go-to-market operations, including quarterly planning, sales kickoffs, leadership reviews, and customer events. - Experience coordinating board meetings, investor engagements, or other high-visibility executive activities. - Experience planning leadership gatherings, or other company events. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

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. As an Intermediate Backend Engineer on the GitLab Orbit team, you'll help build and operate a graph data service that supports GitLab Duo agents, analytics, and architecture-level features across GitLab.com, Dedicated, and Self-Managed deployments. You'll join a Rust-first team that values clear ownership, thoughtful system design, and rigorous thinking about data and reliability. The Knowledge Graph service is a Rust backend that builds a property graph from GitLab’s software development lifecycle (SDLC) and code data. It uses ClickHouse, NATS JetStream, and the Data Insights Platform. It exposes secure graph queries and MCP tools used by AI agents and product features. In this role, you’ll deliver features and improvements in well-scoped areas, learn the broader architecture, and contribute to reliability, observability, and operational readiness. In your first year, you’ll take clear ownership of specific components or features (for example, parts of the SDLC indexing pipeline or query paths). You’ll help reduce single points of failure with better tests and runbooks, and you’ll help the team ship analytical services that are easier to maintain and evolve over time. What you’ll do Implement and iterate on backend features in the Rust-based Knowledge Graph service, including changes to the query engine, SDLC and code indexing flows, and API endpoints (including MCP endpoints) under guidance from senior and staff engineers. Maintain integrations between Knowledge Graph and the rest of the GitLab platform, working in areas that touch GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform. Contribute to system design discussions by proposing options, raising questions, and documenting decisions, with a focus on reliability, scalability, and maintainability for analytical graph workloads. Improve the operational maturity of the service by adding or enhancing metrics, logging, runbooks, alerts, and small readiness tasks, and by participating in on-call rotation as appropriate for your level and experience. Collaborate asynchronously with product, data, infrastructure, security, and AI counterparts to clarify requirements, align on scope, and ship features safely for customers and sustainably for the team. Use AI-assisted development workflows responsibly (for example, using Knowledge Graph-backed agents and internal Duo tooling), and share what works with the team while keeping a strong focus on code quality and correctness. Participate in code reviews, knowledge-sharing sessions, and pairing to both learn from others and help maintain consistent standards across the codebase. Contribute across the stack when needed, including occasional Ruby work for Rails integration and authorization paths, or small frontend changes related to Knowledge Graph features (for example, Software Architecture Map UI plumbing). What you’ll bring Professional experience building and maintaining backend systems in production, with an understanding of reliability, maintainability, and how to support services over time (for example, incident response and follow-ups). Proficiency in at least one modern backend language and strong interest in Rust, with either prior Rust experience or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive codebase. Some exposure to distributed data or analytics systems (for example, OLAP databases, Kafka- or NATS-style messaging, or change data capture (CDC) pipelines), or strong motivation to develop those skills in this role. Interest in graph data modeling and query patterns (property graphs, multi-step (n-hop) traversals, aggregations), and willingness to learn the tools and concepts used in Knowledge Graph over time. Practical experience (or strong interest) using AI tools in day-to-day development, along with a thoughtful approach to validating outputs and integrating AI into your workflow. A language-agnostic mindset and evidence that you can pick up new languages and frameworks as needed (for example, Ruby, Go, or TypeScript/Vue where the work touches adjacent systems). Solid fundamentals in system design for your level, including the ability to reason about trade-offs, ask good questions, and align your implementation work with documented architectural decisions. Comfort working in a low-process, high-ownership environment where you take responsibility for your work, refine problem statements with teammates, and communicate progress clearly in writing across time zones in an all-remote team. About the team GitLab Orbit sits within the Data Engineering organization. We work closely with partners across AI (Duo Agent Platform), analytics, infrastructure and delivery, and security because our work spans many parts of the platform. We collaborate asynchronously rather than following a feature factory model. A key challenge for us right now is scaling sustainably as usage grows and team members take time off. That includes hardening multi-tenant behavior. At the same time, we're bringing Knowledge Graph to 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 $115,200 — $162,000 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 Workplace: Remote Coder's Revenue Enablement team is building out onboarding and ramp for every customer-facing function — SDR, AE, SE, CSM, and FDE. We're looking for a Sales Onboarding Program Manager who can own that curriculum end to end: designing, running, and continuously improving how new hires ramp from day one to full productivity. This isn't a single-audience onboarding role. You'll build ramp programs that flex across distinct functions with different skill requirements — commercial, technical, and delivery — while keeping a consistent bar for what "ready" looks like across all of them. You'll work closely with our technical enablement and sales performance functions to make sure ramp content stays current with product, methodology, and process as the company scales. WHAT YOU'LL DO - Design and own the onboarding curriculum and certification framework for new hires across AE, SE, CSM, and FDE roles - Build structured ramp timelines (30/60/90-day plans) with clear milestones, checkpoints, and certification gates for each function - Partner with technical enablement, sales performance, and functional leaders to keep ramp content aligned with current product, methodology (e.g., MEDDPIC, deal qualification frameworks), and sales/delivery process - Track and report on ramp metrics — time-to-productivity, certification completion, early performance indicators — and use that data to iterate on the program - Coordinate logistics and scheduling for cohort-based onboarding (live sessions, shadowing, certification exercises) - Build and maintain a scalable content/documentation system so onboarding materials stay current as the team grows and product evolves - Gather feedback from new hires and their managers to continuously refine the program - Serve as the primary point of contact for new hires during their ramp period WHAT WE’RE LOOKING FOR - 4+ years in program management, enablement, or L&D, ideally in a B2B SaaS or technical sales environment - Demonstrated ability to build structured, repeatable programs from scratch — not just run existing ones - Strong project management instincts: you default to milestones, checklists, and metrics rather than ad hoc coordination - Comfort designing curriculum for both commercial and technical audiences, or a fast learner's willingness to get conversant in technical sales motions - Excellent written communication — you'll be creating a lot of the source material new hires learn from - Experience partnering cross-functionally with sales, product, and marketing ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

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 company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As the PE & Growth Investor Partnerships at ElevenLabs, you will build and scale one of our most strategic growth channels. You will own relationships with leading PE & Growth Investor firms, embed ElevenLabs into their Enterprise Value Creation programs, and drive AI adoption across portfolio companies. Operating at the intersection of PE, Growth Investors, enterprise AI, & GTM, you will partner with Operating Partners, Value Creation teams, portfolio executives, and our Sales organization to source, accelerate, and close opportunities. You’ll work closely with the Global Head of BD & Partnerships & all regional GTM leads to define the strategy while owning execution across multiple PE & Growth Investor relationships. Your success will be measured by your ability to build a scalable investor partner ecosystem that consistently generates enterprise pipeline and ARR. WHAT SUCCESS LOOKS LIKE In your first 6 - 9 months, you will: - Launch the ElevenLabs Private Equity & Growth Investor Partner Program. - Recruit and activate 8–10 leading PE and growth investor partners, securing ElevenLabs’ inclusion in their Value Creation and portfolio engagement programs. - Build a repeatable GTM engagement model between investor operating teams and ElevenLabs to accelerate portfolio company adoption, pipeline generation, and deal velocity. - Establish a foundation for a scalable, partner-sourced ARR business. RESPONSIBILITIES PRIVATE EQUITY & GROWTH INVESTOR PARTNERSHIPS - Build and manage executive relationships with Operating Partners, Value Creation leaders, and investment professionals across leading PE & Growth investor firms. - Structure and negotiate partnership agreements, joint GTM plans, referral models, and enterprise value programs. - Become the trusted AI partner for PE firms looking to accelerate value creation across their portfolio. PORTFOLIO COMPANY ACTIVATION - Identify high-priority portfolio companies and develop joint account plans with PE operating teams. - Coordinate with Enterprise AEs, FDEs, Customer Success, and Product to drive AI deployments from initial introduction through production. - Help portfolio companies identify high-value AI use cases and accelerate adoption. PIPELINE & REVENUE - Own pipeline generation and ARR sourced through PE partnerships. - Build and maintain a rolling portfolio company pipeline across assigned sponsors. - Drive executive introductions, accelerate deal velocity, and expand successful deployments across additional portfolio companies. CROSS-FUNCTIONAL LEADERSHIP - Partner closely with Sales, Solutions Engineering, Product, Marketing, Legal, and Customer Success to execute PE opportunities. - Develop repeatable GTM playbooks, executive engagement models, and portfolio-wide AI adoption frameworks. - Represent ElevenLabs at PE conferences, operating partner forums, and executive events. YOU MAY BE A GOOD FIT IF YOU - Have 8–12+ years of experience in Enterprise AI, Cloud, or enterprise software, with a focus on strategic partnerships involving Private Equity and Growth Investors. - Have experience working with PE firms, Growth Investors, Operating Partners, Value Creation teams, or PE-backed portfolio companies. - Have a track record of building strategic partnerships that generate measurable pipeline and revenue. - Have strong executive presence and can engage credibly with Managing Partners, Operating Partners, CEOs, CIOs, CTOs, and investment professionals. - Have successfully navigated complex enterprise sales cycles involving multiple internal and external stakeholders. - Are comfortable discussing AI platforms and enterprise technology with both business and technical audiences. - Thrive in fast-paced, ambiguous environments and enjoy building new partnership motions from the ground up. - Are highly commercial, operate with urgency, and consistently create opportunities where none previously existed. LOCATION This role is remote-first but NYC or London is 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.

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: Toronto; Ottawa; Montreal Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? In this role, you will manage the team that owns the Cohere inference APIs and SDKs, as well as the Cohere Dashboard, where customers can access our models, manage teams, and audit billing. You will collaborate with internal partners to craft a delightful, intuitive, and unified experience across everything the Cohere APIs and Cohere Dashboard have to offer. As a hands-on leader, you will shift seamlessly between roles as mentor, strategist, and technologist to guide the team toward shared success. Join our team of builders who are shaping the future of large language models! AS AN ENGINEERING MANAGER OF THE COHERE APIS AND DEVEX TEAM, YOU WILL: - Manage, mentor, and grow a talented and enthusiastic team of backend and full-stack software engineers - Participate in model releases and develop new API capabilities - Work closely with Modelling and Model Serving teams - Collaborate with UX designers to ensure customers have an easy and delightful time managing teams, API keys, billing and configurations. - Oversee and contribute to open source projects YOU MAY BE A GOOD FIT IF: - You have experience managing engineering teams and a proven track record of delivering high-quality software - You have experience shipping products with a large number of stakeholders - You’re comfortable with the front and back end of the stack, and have previously worked with Go, Next.js, TypeScript, and React - You are passionate about recruiting and growing people and teams - You are passionate about building rapport with your team and you prioritize 1:1s - You have excellent communication skills and believe that documentation is a great way to get feedback and discuss technical implementations and designs - You have the ability to take complex needs and goals and develop easy to understand explanations for all audiences - You’re excited about AI and have the motivation to scale a company FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO As a Software Engineer on Sierra’s Cloud Infrastructure team, you’ll own the foundation that every Sierra customer runs on. That includes our multi-tenant environments, where most of our customers and data live, and our isolated single-tenant environments for highly regulated enterprises. Sierra is expanding quickly across AWS and GCP, in regions across North America, Europe, and Asia-Pacific. We expect to roughly double our number of deployments over the next year. The work is very visible. Our deployments support the relationship with major customers, so you’ll see directly how your infrastructure affects customers and the business. Our challenges keep evolving, from scaling, reliability, and new compliance and regulations. ON THIS TEAM, YOU WILL: - Design, build, and operate Sierra’s cloud infrastructure across AWS and GCP (and soon Azure) using Terraform and Kubernetes. - Simplify and standardize our deployments so that adding a new region or environment is repeatable and predictable. We want to treat deployments like cattle, not pets. - Stand up and operate new multi-tenant regions and single-tenant environments for customers with strict regulatory or isolation needs. - Help build and run compliant environments, including our FedRAMP deployment. - Own and improve deploys and releases across our fleet, investing in tooling and developer experience so engineers can ship quickly and safely. - Build security guardrails that give enterprise customers confidence in our shared multi-tenant environment. - Work with our BYOC (Bring Your Own Cloud) team to make Sierra easy to deploy into customers’ own cloud environments. - Drive reliability across the platform through observability, incident response, root cause analysis, and postmortems. - Write production code, mostly in Go, to automate infrastructure and replace manual work with durable systems. WHAT YOU'LL BRING - 6+ years of hands-on software or infrastructure engineering experience, including building and operating production systems at scale. - Broad infrastructure experience on at least one major cloud (AWS, GCP, or Azure). Breadth and fundamentals matter more than expertise in one specific cloud. - Deep expertise in at least one layer of the stack, such as compute, orchestration, networking, or deploys, plus a real interest in owning the layers next to it. - Hands-on experience with infrastructure as code (Terraform preferred) and container orchestration (Kubernetes). - Strong coding skills and a bias toward automation and tooling. Go experience is a plus. - A pragmatic, scrappy approach. You can start with a rough prototype and evolve it into production ready. - Curiosity and flexibility. You adapt to new clouds, tools, and customer requirements instead of forcing every problem into one familiar pattern. - A degree in Computer Science or a related field, or equivalent professional experience. EVEN BETTER - Experience running infrastructure across multiple clouds and many regions or environments. - Experience with compliance-driven environments (FedRAMP, SOC 2, HIPAA, or financial services). - Experience building deploy systems, CI/CD, or internal developer platforms. - Experience deploying software into customer-managed cloud environments. - An SRE background, or experience leading reliability and incident management programs. - Experience with distributed databases such as DynamoDB or Spanner. - Experience at a fast-paced startup or on a small infrastructure team with broad scope. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: United States, San Mateo, CA 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. Audience Business Analyst San Mateo, CA (Collab) In this role you will be an analyst on SIE’s Growth, Media, and Omnichannel Marketing team; specifically, as a part of the Audience, Infrastructure, and Measurement (AIM) team. You will play a vital role in shaping and evolving the way we communicate with our consumers. AIM Analysts bring a diverse range of expertise, spanning SQL development and audience strategy to product leadership and process optimization. While AIM analysts have clear areas of expertise, every member of the team has the opportunity to learn and grow new skills outside of their specialty by contributing to all areas of AIM. We are looking to fill a new Audience Business Analyst role on the AIM team, specializing in audience strategy, operations, and activation for our Live Service business. You will further enable our global marketing organization to use our first party data to put the customer first in all our marketing communications. Together as gamer and customer experience advocates, we can show how PlayStation is truly the Best Place to Play! Primary Responsibilities Collaborate with marketing and agency partners across all marketing regions as the subject matter expert on our ecosystem of data to create custom segments and support campaign executions supporting player acquisition, ongoing engagement, and retention Advise partners on campaigns, using data-based insights from AIM, marketing analytics, data science models, and consumer research Work as part of our AIM SCRUM team to deliver value to audience activation, while also analyzing and employing operational optimizations that bring our operations to scale across all our owned and paid marketing channels Manage ad-hoc and automated customer lists to power PlayStation’s digital marketing channels globally Ensure the efficient and successful delivery of all customer segments to global marketing platforms Partner with Martech product teams to translate business needs into actionable requirements and feature enhancements for marketing platforms. Qualifications: Ability to collaborate and communicate effectively with a diverse group of established partners including marketing, product/engineering teams, and agencies across different regions and cultures Experience with working with a variety of marketing platforms and channels, including but not limited to email, paid media, and custom tools Experience working with martech/adtech platforms (Salesforce Marketing Cloud, DMPs, Publisher and Social Partners, etc) Executed analysis projects related to lifecycle marketing, targeting segmentation strategies, cohort analysis and tracking, churn prevention, A/B and multivariate tests, and reporting dashboard design and development SQL programming experience required 3 years’ experience working with relational databases 5 years' marketing operations experience Bachelor’s degree or equivalent Well-spoken with strong presentation-making skills that effectively present data in a compelling way, both verbal and written, to influence partner strategy Demonstrates understanding of analytical approaches—can set up clean testing frameworks for clear and meaningful measurement reporting downstream Passionate about gaming and video game culture Experienced with BI visualization tools such as Domo and Tableau You are an analytical problem solver who is data driven, with a can-do attitude and flexibility to accommodate evolving business needs You thrive in a collaborative work environment and excel under pressure, with experience working on complex, international, large-scale, time-critical projects You are flexible and versatile in nature, able to overcome challenges while maintaining a positive attitude You are willing to roll up your sleeves to take on tasks with the team 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. $136,300 — $204,500 USD 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: Ottawa Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ROLE OVERVIEW: We're growing our Canadian Public Sector Delivery team and hiring Public Sector Delivery Analysts to help run some of the most consequential AI deployments in the country. You'll work alongside our Engineering Program Managers (EPMs), Technical Leads, and senior leadership to keep large, multi-stakeholder government programs organized, documented, and moving. This is a hands-on delivery role for individuals who want exposure to enterprise AI and high-stakes program delivery while taking pride in making complex programs run smoothly. As a member of our small, senior team, you'll deliver sovereign AI to the Government of Canada, engage directly with clients from day one on a clear path toward leading engagements, and learn how frontier AI products are deployed in real, high-security environments. KEY RESPONSIBILITIES: - Drive things to closure. Partner with the EPM and Technical Leads to track actions, dependencies, and blockers across Cohere and client teams making sure nothing slips. - Show up in front of the client. Prepare and coordinate client sessions, capture outcomes, and progressively lead working-level sessions such as use-case and story refinement. - Run the cadence. Own the meeting and reporting rhythm including agendas, scheduling, minutes, and follow-ups so every forum lands on time with clear next steps. - Own the delivery artefacts. Build and maintain the plans, status reports, RAID logs, decision records, use-case registers, and traceability documentation that keep our engagements audit-ready and our clients confident. - Keep the record straight. Maintain a single source of truth for program documentation in our public sector document management environment. QUALIFICATIONS: - 1–4 years of experience in technology or management consulting, professional services, or an in-house technical delivery team. - Delivery discipline. You've run RAID, action, and decision logs, refined user stories, maintained project plans on real projects and kept them accurate and clear. - Client presence. You can lead a working session in front of a client, read the room, and know what to say and what to hold. - Strong written communication. You think through the message before you build the slide. Advanced PowerPoint, Word, and Excel. - Technical fluency. You're comfortable discussing APIs, integrations, environments, testing, and releases. You can talk with engineers and report back accurately. - Follow-through. You close items without a second reminder and know what to escalate and when. - Eligibility for a Government of Canada security clearance. - Based in the Ottawa area. - University Degree in Business/Commerce, Information Systems, Computer Science, Engineering or similar preferred. - Nice-to-have: High degree of French language proficiency. WORKING LOCATION: This role is hybrid with the requirement to be based out of Ottawa - note, there is no minimum in-office qualification requirement. This role requires eligibility for a Government of Canada security clearance and a high degree of French language proficiency is a nice-to-have. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Tokyo Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Cohere is a fast-growing company in the extremely dynamic artificial intelligence space. We are building a Government Affairs and Public Policy (GAPP) team that has the drive and experience to engage in and shape a nascent and unique policy environment for enterprise AI. We seek a Government Affairs professional to lead our Japan government affairs strategy. Candidates will have a proven track record, are analytical, collaborative, driven, and possess a passion for digging deep into the new and evolving public policy debate at the intersection of enterprise technology and artificial intelligence. There is no better time to join us in building this function as we shape the future of AI in Japan and across the region. As our Manager of Government Affairs & Public Policy, Japan you will: - Lead Japan Advocacy: Partner closely with Cohere’s senior leadership, legal, public policy, and responsible AI teams to develop, coordinate, and implement a government affairs strategy across national, prefectural, and municipal levels in Japan. - Dig Deep on AI Policy: Serve as the internal and external expert on Japan’s AI policy while monitoring key regulatory shifts. You will proactively report on trends and work with cross-functional teams to craft thoughtful responses to governmental initiatives, regulatory issues, and legislative drafts that impact Cohere’s business. - Bridge the Corporate and Political: Leverage your dual experience in both the political and corporate spheres to translate technical and business objectives into effective policy advocacy. - Cultivate Key Relationships: Guide and coordinate Cohere’s political engagement by cultivating deep relationships and representing the company with key lawmakers, regulators, and trade bodies. - Support Strategic Growth: Work closely with public sector sales teams in shaping technology and procurement policies in regulated sectors, ensuring Cohere is a trusted resource and partner for government stakeholders. - Manage External Partners: Direct government relations consultants and trade associations in Japan. - Ensure Compliance: Oversee compliance of all lobbying and political activities with relevant laws. You may be a good fit for this career opportunity, if you have: - Native fluency in Japanese and English. - Political & Corporate Experience: 10 to 12+ years of proven leadership experience blending corporate government affairs roles within the technology sector and direct political or government experience. - Deep AI Policy Expertise: Exceptional ability to dig deep on artificial intelligence policy, its applications and its risks, with a proven track record of shaping relevant tech policies and regulations. - National Security & Regulated Industries Background: Prior experience in or working closely with the defense sector, cybersecurity or national security apparatus is highly preferred given the strategic importance of AI to these fields. Experience working with regulated industries is also preferred. - Procurement Experience: Proven experience supporting public-sector sales and government procurement teams is highly preferred. - Bias for Action: A growth mindset and a self-starter attitude with the ability to work independently, prioritize issues, and push projects over the finish line. - Excellent written and verbal communication skills: A proven ability to distill complex AI policy into compelling documents, thought leadership, and briefings for a variety of audiences. - Educational background: Bachelor's degree in a related field. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.