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Location: Serbia; Armenia; Kazakhstan; Georgia Location: Remote, outside Russia and Belarus Type: Part-Time Workload: 10 hours per week Time zone: CET or within ±3 hours About Transparent Hiring Transparent Hiring is a one-stop recruitment and relocation agency for IT and digital professionals looking to work and relocate in Germany and other European countries. We support the entire process — from finding a job and securing a visa to finding housing and settling in. We’ve been growing steadily for over 6 years, combining the flexibility of a startup with the reliability of an experienced international team. We are looking for a Paid Ads Specialist to manage and optimize our Meta advertising campaigns for Russian- and English-speaking audiences . This is a hands-on role for someone who understands paid social beyond simply launching campaigns. You’ll work with ready-to-use creatives and ad copy, set up and monitor campaigns, analyze performance, optimize targeting and budgets, identify which creatives perform best, and provide clear feedback and recommendations to the marketing team. What You’ll Do Set up and manage Meta advertising campaigns for Russian- and English-speaking audiences Set up targeting, audiences, placements, budgets, and campaign structures Monitor campaign performance and optimize based on results Analyze which creatives and audiences perform best Provide recommendations for creative tests and campaign improvements Track relevant market and competitor advertising trends What We’re Looking For 2+ years of hands-on experience with Meta Ads Experience with lead generation campaigns Strong understanding of Meta Ads Manager, targeting, campaign structures and optimization Experience working with Russian- and English-speaking audiences Strong analytical skills and ability to make decisions based on campaign data High attention to detail Fluent Russian and good spoken and written English Ability to work independently and take ownership of campaigns It Would Be a Plus If You Have Experience with recruitment, HR, relocation, career services or other expert-driven businesses Experience conducting competitor and advertising market research Experience with Meta Pixel, Conversions API or other tracking tools Experience working with Google Analytics or similar analytics tools Important You will not be responsible for creating ad creatives from scratch. Our marketing team prepares the visuals and ad copy. Your role is to work with the available materials, launch the campaigns, monitor their performance, identify the strongest creatives and audiences, and recommend what should be changed or tested. What We Offer Part-Time work — around 10 hours per week Fully Remote work Flexible schedule Opportunity to shape campaign strategy and optimization based on your expertise Direct impact on campaign performance and lead generation Compensation: Up to €600 gross per month How to Apply Please send us: • Your CV • A short description of your experience with Meta Ads • Examples of campaigns you have managed, including results where possible We are looking for someone who can take ownership of Meta advertising, work with campaign data, identify the strongest creatives and audiences, and turn performance insights into concrete recommendations on what to change or test.

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are looking for an experienced Senior Manager, Settlement & Reconciliation to lead and enhance our settlement and reconciliation operations across both digital assets and fiat. This role requires more than strong settlement operational experience. The ideal candidate should have a solid understanding of trading and settlement system architecture , including how settlement systems interact with trading platforms, transaction data, custody/banking infrastructure, and finance/accounting systems. The role will serve as a key bridge between Finance, Settlement Operations, Product, Engineering, and other relevant stakeholders , translating settlement and accounting requirements into clear system, data, and reporting requirements. Candidates with experience in traditional financial markets, securities, banking, brokerage, clearing, custody, or other transaction-intensive financial institutions are highly preferred. The successful candidate will build a settlement and reconciliation function that is not only operationally effective, but also system-driven, highly reconcilable, and finance-ready . The individual should be able to understand a transaction from execution through settlement, reconciliation, and ultimately financial accounting, and work across Operations, Finance, Product, Data, and Engineering to ensure that the underlying processes and systems are scalable, controlled, and transparent. What You’ll Be Doing Settlement Operations - Lead and oversee day-to-day settlement operations across digital asset and fiat transactions. - Ensure transactions are settled accurately, completely, and within the required timelines. - Establish and continuously improve settlement procedures, controls, exception handling, and escalation mechanisms. - Identify settlement breaks, operational risks, and process inefficiencies, and drive timely resolution. - Support new products, transaction flows, and business models by assessing their settlement and operational requirements. Settlement System & System Architecture - Develop a strong understanding of the end-to-end settlement system architecture and transaction data flow. - Understand how settlement systems interface with: - Trading systems and order/transaction engines; - Wallet, custody, and blockchain infrastructure; - Fiat banking and payment systems; - Data warehouse and reporting platforms; and - Finance, accounting, and general ledger systems. - Work closely with Product and Engineering teams to define settlement-related system requirements. - Translate operational and finance requirements into clear and actionable data, system, and reporting specifications for Engineering teams. - Define the reports, data fields, transaction-level information, and reconciliation logic required to support settlement operations and financial accounting. - Participate in system implementation, enhancement, UAT, and post-implementation validation from a settlement and finance-control perspective. Digital Asset Reconciliation - Own and oversee Digital Asset (DA) reconciliation , including reconciliation among customer balances, internal ledgers, wallet/on-chain balances, custody records, and other relevant source systems. - Investigate and resolve reconciliation differences, including transaction timing differences, system exceptions, missing transactions, and data inconsistencies. - Work with Product, Engineering, Data, Wallet, and Finance teams to identify root causes and implement sustainable remediation. - Establish appropriate reconciliation controls and monitoring mechanisms to ensure completeness and accuracy of digital asset balances and movements. Fiat Reconciliation - Own and oversee Fiat reconciliation across customer balances, banking/custodian records, payment channels, internal operational systems, and the general ledger. - Ensure customer fiat assets and liabilities can be reconciled to relevant operational and accounting records. - Investigate reconciliation breaks and coordinate with Finance, Fiat Operations, Product, Engineering, banks, custodians, and payment service providers for resolution. - Drive automation and system improvements to reduce manual reconciliation and operational dependency. Customer Transaction Reconciliation - Oversee transaction-level reconciliation covering customer trades, deposits, withdrawals, transfers, settlements, and other relevant transaction activities. - Ensure customer transaction records can be traced consistently across trading, settlement, operational, and accounting systems. - Establish effective exception-management processes for unmatched or incomplete transactions. - Support Finance and external audit requirements by ensuring transaction data and reconciliation evidence are complete, accurate, and traceable. Finance & Accounting Support - Partner closely with Finance to ensure settlement data and reports provide sufficient information for accurate and timely accounting. - Understand how trading and settlement activities ultimately flow into financial records and the general ledger. - Define operational reports and data outputs required by Finance for: - Accounting entries; - Period-end closing; - Balance sheet reconciliation; - Customer asset and liability reconciliation; and - Financial and external audit support. - Identify gaps between operational systems and accounting requirements and work with relevant teams to develop scalable solutions. Process, Control & Team Management - Build and maintain robust settlement and reconciliation SOPs, controls, and governance frameworks. - Drive automation and process improvements to improve settlement efficiency, accuracy, scalability, and control. - Establish key operational metrics and monitor settlement exceptions, reconciliation breaks, aging items, and resolution timelines. - Manage and develop the settlement team, ensuring clear ownership, effective prioritization, and strong execution. - Act as a senior escalation point for complex settlement, reconciliation, and transaction-related issues. - Collaborate effectively with cross-functional stakeholders across Finance, Product, Engineering, Data, Operations, Risk, Compliance, and other relevant teams. What We Look For In You Bachelor’s degree or above in Finance, Accounting, Economics, Business, Information Systems, or a related discipline. Significant experience in settlement, clearing, reconciliation, transaction operations, custody, or related financial operations , with experience in a managerial or senior leadership role. Strong experience with customer transaction reconciliation and transaction-level data analysis . Solid understanding of trading lifecycle and settlement processes. Prior experience in traditional financial institutions , such as banks, securities firms, broker-dealers, exchanges, clearing houses, custodians, payment institutions, or other transaction-intensive financial businesses. Strong understanding of how trading systems, settlement systems, reconciliation platforms, and accounting systems interact . Ability to understand system and data architecture and translate operational or finance requirements into clear requirements for Product and Engineering teams. Strong experience in designing or defining operational reports, reconciliation reports, and transaction-level data requirements. Strong analytical and problem-solving skills, with the ability to investigate complex reconciliation differences and identify root causes. Strong understanding of operational controls, data completeness, accuracy, and transaction traceability. Excellent stakeholder-management and communication skills, with the ability to work effectively with both Finance and technical teams. Strong ownership mindset and ability to operate effectively in a fast-paced and evolving business environment. Nice to Haves Experience in cryptocurrency, digital assets, exchanges, fintech, brokerage, or other high-volume transaction platforms. Hands-on experience with digital asset / wallet / on-chain reconciliation . Experience with fiat payment, banking, custodian, or payment-service-provider reconciliation. Experience participating in settlement or reconciliation system implementation and transformation projects. Experience working with Product and Engineering teams on system design, data requirements, reporting logic, UAT, and process automation. Familiarity with accounting systems, general ledger processes, and period-end financial reconciliation. Experience supporting internal or external audit requests relating to transaction completeness, settlement, or reconciliation. SQL, data analytics, or other data-querying experience would be an advantage. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote - India Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Staff Backend Engineer on Twilio’s Flex Engineering. About the job As a Staff Backend Engineer on the Twilio Flex Engineering team, you will set technical direction for the systems that power TaskRouter, the real time engine that decides how every contact center interaction reaches the right person. You will operate as the senior technical leader across multiple services, owning the architecture for problems that span multiple quarters and organizational boundaries, and you will be accountable for how the platform scales, performs, and stays available as customer demand grows. You will author and defend the designs that go to Twilio's architecture review boards, make tradeoff decisions that carry long term consequences, and raise the engineering bar across a team distributed across the world. Additionally, you will have significant influence on roadmap priorities and on how Flex delivers against Twilio's goal of being the world's most trusted customer engagement platform. If you thrive in fast-moving environments, enjoy working on scalable systems, and are passionate about building high-performance backend services, this role is for you. Responsibilities In this role, you’ll: Design, develop, and maintain backend services that power Twilio Flex’s high scale TaskRouter system. Set and own the technical direction for a set of high scale, business critical backend services running on AWS, and hold the architectural vision as it evolves Lead the design of large distributed systems changes, covering scalability, data architecture, fault isolation, and migration strategy Raise availability and resilience for Tier 0 systems, and make deliberate tradeoffs between reliability, cost, and delivery speed Partner with peer engineering teams, platform teams, and product to align on designs and unblock shared dependencies Raise the engineering bar through design review, code review, and direct mentorship of senior and mid level engineers Drive operational excellence through observability, gamedays, incident response, and converting recurring issues into permanent fixes Influence roadmap priorities with engineering and product leadership, and represent the team's technical position across the wider organization Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 8+ years of experience writing production-grade backend code in a modern programming language (e.g., Java, Golang, Python, Scala, or similar). Strong fundamentals and experience in building fault tolerant distributed systems, event-driven architectures, and database design. Experience working with AWS cloud-based infrastructure. Well-versed in designing and building high-scale, low-latency APIs. Experience with database technologies like MySQL, PostgreSQL or DynamoDB. Strong debugging and troubleshooting skills for complex distributed applications. Experience shipping services (products) following the CI/CD development paradigm. Effective communication skills and ability to collaborate in a fast-paced team environment. Comfortable with ambiguity and problem-solving in a rapidly growing company. Desired: Experience working with event streaming technologies (Kafka, Pulsar, or similar). Familiarity with containerization and orchestration tools (Docker, Kubernetes). Solid grasp of Linux systems and networking concepts. Background in building multi-tenant SaaS platforms at scale. Experience working with observability tools such as Prometheus, Grafana, or Datadog. Experience working in a geographically distributed team. Location This role will be remote, and based in India - Karnataka, Tamil Nadu, Telangana State, Maharashtra and New Delhi. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Singapore Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We're looking for a RevOps Systems Architect to help build a modern, AI-powered revenue operations stack. This isn't a traditional Salesforce admin role. We're building a GTM tech stack where AI is a first-class citizen, automations are genuinely intelligent, and our CRM is a living system that reflects how our business actually works. You'll function as a Salesforce admin and backend developer in one. You'll own platform administration, build complex automations via Flows and Apex, and develop and maintain custom services and integrations, including Salesforce MCP servers and AI tooling that connect our CRM to the broader systems our team runs on. For larger engineering efforts, you'll work shoulder-to-shoulder with our engineering team, scoping and shipping together. In this role, you will: - Administer our Salesforce org: object model, data architecture, user configuration, and platform health. - Build and maintain automations via Salesforce Flows, Apex, and custom services that power our GTM processes end to end. - Develop and maintain Salesforce MCP servers and AI tooling that extend CRM functionality into AI-powered workflows. - Design and maintain SQL-based data pipelines that feed dashboards and revenue reporting across the org. - Translate ambiguous business problems into clean technical scope, from stakeholder conversation to implemented solution. REQUIREMENTS - Salesforce administration experience with deep familiarity across the object model, Flows, data loading tools, and platform configuration. - Strong Apex development skills: you can build, debug, and maintain custom logic, triggers, and integrations without leaning on a separate engineering team. - SQL proficiency: you can decompose ambiguous questions into answerable queries and are comfortable with complex joins, aggregations, and pipeline logic. - Systems mindset: you can hold an end-to-end process in your head, trace a field from its origin through every downstream dependency, and anticipate what breaks when something changes. - Excited by modern tooling: you're drawn to building AI-native systems and are curious about where Salesforce, MCP, and AI agents intersect. Bonus: - Familiarity with dbt or modern data transformation tooling. - Experience with BI tools such as Sigma or Looker. LOCATION This role is based in Singapore 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: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are looking for an experienced blockchain developer to join our team building the next generation of high-performance on-chain trading infrastructure. You will help design and implement a unified trading engine — supporting Perpetuals, Spot, and Prediction Markets under a single margin account — and contribute to ExchangeOS , an infrastructure layer that lets KYC'd institutions and Web3 entities stake to create and operate their own trading venues (DEXs) on top of our chain. What You’ll Be Doing Design and build a unified account and matching system that supports Perpetuals, Spot, and Prediction Markets — including on-chain order matching, cross-margin validation, settlement, and liquidation/risk engines (ADL, ADL-avoidance, ADL waterfall, ecosystem insurance fund mechanics). Build and optimize the core components of ExchangeOS : the staking/venue-creation framework that allows KYC-verified institutions and Web3 protocols to launch and operate their own dex on shared infrastructure. Drive performance engineering across the stack — parallel transaction execution, low-latency order pipelines, and throughput/latency optimization at the engine and chain level. Track cutting-edge blockchain and trading-system technology (e.g. Hyperliquid, dYdX, other high-performance perp DEX architectures) and apply best practices to our infrastructure. Partner with product and business teams to translate venue/exchange requirements into technical designs, and provide ongoing technical support. What We Look For In You Strong proficiency in Rust , with hands-on experience in high-performance, low-latency systems; experience with parallel/concurrent execution engines is a strong plus. Deep understanding of exchange/matching engine mechanics: order book design, margin systems, liquidation and ADL, settlement, and risk engines — familiarity with perpetual, spot, or prediction market products is a strong plus. Solid grounding in blockchain fundamentals (consensus, P2P networking, cryptography); experience reading core code of major L1/L2 systems (Ethereum, Optimism, Arbitrum, or high-performance L1s like Hyperliquid/Solana) is a plus but not the primary focus of this role. Strong systems-performance mindset: profiling, memory/allocator tuning, and designing for sub-millisecond latency at scale. Excellent teamwork, communication, and logical reasoning skills; genuine passion for trading systems and blockchain technology. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's legal team operates at the frontier of some of the most consequential legal and regulatory questions of our time — from landmark copyright matters to first-of-their-kind AI regulatory frameworks emerging across dozens of jurisdictions simultaneously. As we scale, the volume and complexity of our discovery and information governance obligations are growing rapidly. We are looking for a Discovery Technical Operations Specialist to join our Litigation and Regulatory team and help build out Anthropic's discovery operations from the ground up, support active matters, and help drive information governance maturation. This is a unique opportunity to be a part of a critical function at one of the most closely watched companies in the world. You will work hand-in-hand with our discovery leads, litigation and regulatory counsel, outside counsel, discovery vendors, and cross-functional partners such as Security and IT to manage retention, preservation, collection, and production of electronically stored information (ESI) across active matters. Beyond matter-level support and programmatic development of discovery systems and processes, you will also help execute the development of Anthropic's broader information governance program, including data classification standards and defensible disposal practices that keep pace with a rapidly scaling AI company's evolving data landscape. The right person for this role will be equal parts technical operator and operational project manager. Key responsibilities Build and operate discovery operations across the full EDRM lifecycle (preservation, collection, processing, hosting, review, and production including for novel and AI-specific data types) Support the operational design and execution of the legal hold program including custodian identification workflows, hold issuance and tracking, periodic re-notification, custodian acknowledgments, and defensible release Support and improve the discovery technology stack including RelativityOne, in-place preservation and collection tooling across Slack, Google Workspace, and internal systems, and supporting analytics and review platforms including configuration, access controls, templates, and reusable workspaces Partner with discovery team, in-house counsel, outside counsel, vendors, and internal technical teams; coordinate matter execution, status, and escalations Partner with Security, IT, and product engineering to support Anthropic's data landscape, instrument new data sources for hold and collection, and ensure each ESI source has a governed retention, hold, and disposition path Improve and support the operational layer of Anthropic's information governance program: retention schedule execution, classification rollout, defensible disposition workflows, and data-inventory maintenance in close partnership with the Discovery Lead and information governance stakeholders Integrate AI and automation into the EDRM lifecycle: generative-AI-assisted review, advanced analytics, custom Relativity applications, and agentic workflow automation for intake, hold tracking, status reporting, and internal documentation Support active litigation, government investigations, and regulatory inquiries as the operational counterpart on the matter team coordinating workstreams, managing vendor execution, and surfacing operational risk and cost trade-offs to counsel Design and build internal tools to streamline and manage critical discovery workflows (legal holds, preservation, collection, ECA, and production), and develop dashboards that report on data management trends and cross-matter discovery status Minimum qualifications Hands-on discovery experience across the full EDRM lifecycle, with demonstrated ownership of operations on complex matters in an in-house legal department, government agency, law firm, or vendor A track record of supporting complex discovery operations functions Working knowledge of major discovery platforms (Anthropic uses RelativityOne), including administration, search and analytics, AI/TAR workflows, custom application development, and AI workflows Strong understanding of the Federal Rules on discovery and evidence, ESI preservation obligations, and proportionality, with the operational fluency to translate those obligations into workflows Experience operating discovery across modern enterprise data sources Slack, Google Workspace, mobile, and engineering systems and an understanding of how to bring novel data sources under preservation and collection Strong project management instincts and a track record of running multiple concurrent matters and programs under tight deadlines, with composure and precision Demonstrated ability to communicate technical discovery and operational concepts clearly to attorneys, executives, engineers, and non-technical stakeholders Preferred qualifications 6+ years of hands-on discovery experience across the full EDRM lifecycle Experience standing up discovery operations at a young and/or fast-scaling company, particularly in the context of new kinds of ESI Experience embedding with engineering or product teams to define discovery and information governance requirements, prioritize roadmap, and ship hold-capable and collection-capable features into core enterprise tools Hands-on integration of generative AI and agentic workflows (e.g., Claude, Claude Code, or similar) into operational discovery work project tracking, status reporting, internal documentation, custom tooling, and script maintenance Technical fluency working with engineering teams and modern infrastructure APIs, cloud (AWS, GCP), data pipelines, and version control and comfort writing, reading, or maintaining small scripts where useful Experience operating information governance programs at scale including retention scheduling, data classification, defensible disposition, and data mapping across heterogeneous enterprise data sources Experience with applying AI and automation to discovery operations, including generative AI for review, agentic automation, and operational tooling for hold tracking, reporting, and documentation A collaborative, hands-on orientation, with integrity and genuine curiosity about building operational programs in a fast-moving environment 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: $170,000 — $220,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA PlanetScale is growing rapidly and reinventing the database space. Our database platform offers developers the fastest and most reliable Postgres and Vitess/MySQL databases, enabling businesses to efficiently handle data and workloads of all sizes. PlanetScale is backed by over $100M in venture financing from top-tier investors, including a16z, Kleiner Perkins, SignalFire, and Insight Venture Partners. We serve some of the most innovative companies in the world, including Block, Anysphere (Cursor), MyFitnessPal, Etsy, Kick, and thousands more. Our customers entrust us with what is often their most precious digital asset: their data. We’re looking for a Senior Product and Commercial Counsel to help us build, sell, and scale responsibly. You’ll own important commercial negotiations, advise on product and privacy matters, and work directly with leadership on decisions that shape our business. These attributes best describe you You combine strong legal judgment with business understanding. You distinguish material risks from theoretical ones and find workable paths forward. You lead with empathy. You listen carefully, understand other people’s goals and pressures, and build trust with colleagues and counterparties. You communicate clearly. You explain complex issues in plain language and tailor your advice to the audience. Your colleagues know what you recommend and why. You enjoy ownership. You’re comfortable making decisions, moving work forward independently, and recognizing when to seek input. You’re curious about technology. You want to understand how our products work and are comfortable asking engineers questions, tracing data flows, and learning unfamiliar concepts. You thrive in a small team. You’re equally willing to negotiate a complex agreement, help a colleague work through a question, or improve a process. What you will need A J.D. and active membership in at least one U.S. state bar, with eligibility to practice in your work location. At least 7 years of relevant legal experience, including substantial experience negotiating technology transactions. Experience advising technology businesses on customer and vendor agreements, privacy, and data protection. Strong drafting and negotiation skills, with the ability to translate technical and commercial details into clear contractual terms. Excellent interpersonal skills and a demonstrated ability to build productive relationships across functions. The judgment and organizational skills to manage multiple matters independently in a fast-moving environment. What else will help you be successful In-house experience at a SaaS, cloud infrastructure, or other technology company. Experience advising Sales, Marketing, Engineering, and Security teams. Familiarity with AI, open source software, intellectual property licensing, or international data protection requirements. Experience supporting enterprise customers, strategic partnerships, or new business models. Why PlanetScale At PlanetScale, legal work is closely connected to the technology we build and the businesses we serve. You’ll work with people who care deeply about their craft, tackle substantive questions, and see the impact of your advice. We value small teams, strong judgment, and individual ownership. You’ll have direct access to leadership and the opportunity to shape both business decisions and the way our legal team operates. As the company grows, there is room to deepen your expertise, expand your scope, and build programs you can call your own. Our mission is to build a diverse, equitable, and inclusive company where people feel respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know how we can make the interview process better for you. We’re happy to accommodate. Total Compensation and Pay Transparency Total compensation consists of base salary, benefits, and equity. Our Talent Acquisition team will be happy to discuss the details during the interview process. Base salary range: $180,000 - $250,000 USD

Location: Cyprus; Georgia; Poland; Spain; Serbia; Latvia We are looking for a Senior DevOps / Platform Engineer to develop and operate GoMining's cloud platform. The primary focus of this role is GCP and Kubernetes , infrastructure and application delivery automation, and the reliability and security of production services. You will maintain and improve our existing infrastructure, contribute to the development of the next generation of our platform, and help product teams ship changes safely and efficiently. Responsibilities Develop and operate infrastructure in GCP , including GKE, virtual machines, networking, load balancers, storage, and managed services. Manage Infrastructure as Code with Terraform : develop modules, manage state and dependencies, ensure reproducible changes, and identify configuration drift. Operate Kubernetes : upgrade clusters and platform components, configure autoscaling, workload placement, network policies, and resource allocation. Develop CI/CD and GitOps using GitLab CI and Flux / Argo CD, automating builds, checks, deployments, controlled releases, and rollbacks. Build observability across metrics, logs, distributed tracing, and actionable alerting. Define and improve SLIs/SLOs together with engineering teams. Troubleshoot production incidents and performance issues, conduct root cause analysis, and eliminate recurring failure patterns. Implement least-privilege access, environment and service isolation, secure secrets management and rotation, and infrastructure audit controls. Maintain backup processes and regularly validate recovery of critical data and infrastructure according to agreed RPO/RTO . Help engineering teams prepare services for production, including health checks, resource configuration, telemetry, and deployment procedures. Optimize cloud infrastructure usage and costs while maintaining reliability requirements. Maintain infrastructure documentation, operational runbooks, and recovery procedures. Requirements Strong hands-on experience independently operating production infrastructure and Kubernetes , including upgrades, troubleshooting, and disaster recovery. Strong experience with GCP , including GKE, Compute Engine, VPC, IAM, and Cloud Storage; good understanding of Cloud SQL, Cloud Logging, and Cloud Monitoring. Hands-on experience with Terraform , including modules, remote state, locking, importing existing resources, and safely applying infrastructure changes through CI. Deep knowledge of Kubernetes and containerization : Deployments, StatefulSets, Services, Ingress, storage, requests/limits, probes, autoscaling, RBAC, and NetworkPolicy. Experience with Helm and Kustomize . Strong Linux administration skills, preferably Debian/Ubuntu: processes, systemd, filesystems, disks, and resource troubleshooting. Strong networking fundamentals: TCP/IP, DNS, HTTP(S), TLS, routing, NAT, load balancing, and firewalls. Ability to troubleshoot connectivity issues across applications, Kubernetes clusters, networks, and cloud services. Experience building CI/CD pipelines, preferably with GitLab CI , and strong understanding of Git and GitOps principles. Understanding of runner permissions, secrets protection, and production deployment controls. Automation skills with Bash and Python , including maintainable infrastructure scripts and API integrations. Experience with monitoring, logging, and alerting using tools such as Prometheus, Grafana, or Cloud Monitoring . Practical experience operating PostgreSQL and understanding Redis and RabbitMQ, including availability, connections, replication or clustering, backup, and recovery. Strong understanding of cloud security principles: least privilege, service accounts, Workload Identity, secrets management, network segmentation, and access auditing. Ability to independently deliver infrastructure changes to a validated production result, explain technical trade-offs, and collaborate effectively with Engineering and Security teams. Nice to Have Experience with Flux CD, Argo CD, Ansible, and HashiCorp Vault . Experience with OpenTelemetry and distributed tracing. Experience migrating infrastructure between clouds or Kubernetes clusters, including database migrations with limited downtime. Experience designing disaster recovery strategies and conducting recovery exercises. Cloud cost optimization and capacity planning experience. Experience with DigitalOcean, Hetzner, or AWS . Ability to read and troubleshoot JavaScript / TypeScript applications. Experience operating financial or payment services with strict requirements around access control, auditing, reliability, and data integrity. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Location: Dhahran, Saudi Arabia Eram Talent, a leading Talent Acquisition Company, is seeking a qualified and experienced HV Technician - Electrical to join a prestigious company in the industry. As a HV Technician, you will be responsible for working with high voltage electrical systems, ensuring that maintenance, troubleshooting, and repairs are conducted safely and efficiently. This role offers an exciting opportunity to contribute to important projects and be part of a team of skilled professionals. If selected, this opportunity would be onsite at Saudi Arabia. Responsibilities Install, maintain, and repair high voltage electrical equipment and systems. Conduct preventive maintenance and inspections on electrical systems to enhance reliability and performance. Troubleshoot electrical faults and provide effective solutions to restore system functionality. Ensure compliance with safety regulations and standards while working on high voltage systems. Coordinate with other team members and departments to minimize downtime during maintenance activities. Maintain accurate records of maintenance activities, equipment status, and inspection reports. Stay updated with advancements in high voltage technology and industry best practices. Participate in safety training and promote a culture of safety in the workplace. Requirements Technical diploma or certification in Electrical Engineering or a related field. Minimum of 5 years of experience working with high voltage electrical systems. Strong knowledge of electrical safety protocols and high voltage regulations. Experience with the installation and maintenance of substations, transformers, and switchgears. Excellent troubleshooting skills and ability to interpret electrical schematics. Strong attention to detail and commitment to safety standards. Good communication and organizational skills. Ability to work effectively both independently and as part of a team. Willingness to work in various conditions and on-call as required.

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. We are seeking an experienced Program Manager for a critical pillar of our Program Management function: Commercialization. This role will transform our commercial infrastructure into a revenue accelerator, building and executing the operational leverage that enables Anthropic to maintain velocity as we scale. You'll be responsible for managing and enhancing processes that support rapid product growth. The ideal candidate combines strategic thinking with operational excellence, someone who can both envision where we need to be in 12 months and build the infrastructure to get us there. Responsibilities Play a central role on the team that runs Anthropic's programs for Commercial Launches — helping evolve an established launch motion into a scalable, well-instrumented program that keeps pace with an accelerating product roadmap Run launches end-to-end through the Commercial launch process: lead intake and scoping for your portfolio of launches, translate each into its commercial-readiness requirements (pricing, billing, tax, marketplace, compliance and selling motions), and collaborate with product teams to develop paths to launch Identify where launches slow down today and drive resolution to prevent them from recurring: propose and implement process and system changes, clarify ownership, drive completion across partner teams like, Product, Engineering, Finance, Legal, and GTM. Build specific program components that don't exist yet — launch tiering, readiness criteria, playbooks, templates, SLAs; and develop training that shifts programs from late-stage gatekeeper to early-stage partner Take ownership of major program-improvement workstreams such as instrumentation (pipeline visibility, readiness scorecards, guides, throughput and cycle-time metrics) or workflow tooling and automation (intake, tracking, approvals, status) in partnership with Engineering and systems teams Work cross-functionally with Product, Engineering, Finance, and GTM teams to design clear interfaces and processes that span multiple teams You may be a good fit if you have Experience building and running new product introduction processes Experience building capabilities and solutions that enable launching in new ways, from pricing to geographies 10+ years of experience in operations, with demonstrated success in billing, payments, or commercial operations (high-volume SaaS experience a plus) Strong working knowledge of billing systems, subscription management, and payments platforms Proven track record of building and scaling operational programs in high-growth environments — taking things from 0-1 and then scaling beyond Willing to roll up your sleeves and do the operational work of building while also leading a team Experience with automation initiatives and partnering with engineering teams to build operational tooling Strong analytical abilities, problem-solving skills, and the ability to demonstrate ROI on operational programs Excellent cross-functional collaboration skills with the ability to influence stakeholders across GTM, Finance, Product, and Engineering Adaptability and comfort working in fast-paced, ambiguous environments where you need to balance multiple priorities simultaneously Excitement about building the operational backbone that enables Anthropic to stay on the exponential 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: $190,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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. Sierra’s Applied Research team advances the quality, speed, and cost efficiency of the models powering our agents across a wide range of tasks. Our work spans post-training open-weight models for specialized capabilities and pioneering new approaches to voice AI, turning research breakthroughs into reliable production systems. WHAT YOU’LL DO - Tackle unsolved applied AI and ML problems. Pushing the boundaries of post-training, voice AI, and long-horizon task execution, building agents that can reason, adapt, and reliably carry out complex tasks for customers. - Determine when to build specialized models and when to use externally provided frontier intelligence, balancing quality, speed, and cost to deliver customer value. - Turn ambiguous product and customer problems into well-framed machine learning problems. - Develop, fine-tune, evaluate, and deploy models that improve Sierra’s customer-facing AI agents. - Advance our post-training work, from supervised fine-tuning toward reinforcement learning and long-horizon optimization. - Build rigorous evaluations that connect model performance to real-world agent quality. - Work with large-scale, proprietary datasets spanning text and audio interactions. - Collaborate across Sierra while taking ideas from experimentation through production deployment and customer impact. WHAT YOU’LL BRING - Strong experience building and deploying production machine learning and AI systems. We welcome backgrounds across applied ML, including search, ranking, recommendations, advertising, language, and speech. - Excellent judgment in framing product problems as ML tasks and selecting the simplest & most effective approach. - Experience working deeply with data, experimentation, evaluation, and model iteration. - A practical, evidence-driven approach to ML, with strong judgement around when a problem calls for modeling and when a simpler solution will deliver the best outcome. - The ability to operate with high agency and work across the stack when needed to deliver an outcome. - Alignment with Sierra’s values, including Craftsmanship, Customer Obsession, and Competitive Intensity. - A degree in computer science, machine learning, or a related field, or equivalent professional experience. EVEN BETTER… - Experience with supervised fine-tuning or reinforcement learning. - Experience in search, ranking, recommendations, or advertising systems. - Experience training and deploying language, speech, or multimodal models. - Experience designing model evaluations tied to real-world product outcomes. - Experience working with large-scale consumer datasets or high-volume ML products. - Contributions to applied ML research or benchmarks. 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: 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. ABOUT THE ROLE Sierra’s AI agents depend on foundation models to reason and act in real time. The Inference team builds the systems that make those models fast, reliable, and efficient at scale. As a Software Engineer on Inference, you’ll help define Sierra’s inference architecture across both self-hosted models and third-party inference providers. You’ll work on the systems responsible for serving and routing inference, managing capacity and quota, and optimizing for latency, reliability, and cost. This is a systems-first role at the intersection of distributed infrastructure and AI. You don’t need to be an ML researcher—we’re looking for engineers who love complex systems problems and are excited to apply that expertise to one of the fastest-moving areas of AI infrastructure. WHAT YOU'LL DO - Partner with frontier labs and providers. At our scale, we rely on frontier labs, and inference providers to supply capacity, training and inference infrastructure. - Shape Sierra’s inference architecture. Design how inference traffic flows across models, infrastructure, and providers, including new serving and proxy layers as Sierra scales. - Build for low latency and high reliability. Develop systems for routing, failover, capacity management, and quota that keep inference performant and available across large-scale production workloads. - Build and operate self-hosted inference. Run models on GPU infrastructure, from building containers and operating inference engines to managing the underlying compute capacity. - Optimize inference performance. Work with the Applied Research team on techniques such as speculative decoding and serving-engine optimizations that improve latency, throughput, and cost. - Build across a hybrid inference stack. Work with both Sierra-managed infrastructure and leading inference platforms, making architectural decisions about where and how workloads should run. - Push the serving stack forward. Work closely with inference providers to tune engines and infrastructure for Sierra’s workloads. - Support the broader model lifecycle. Contribute to infrastructure that enables post-training while partnering closely with our Models and Agent Runtime teams. WHAT YOU'LL BRING - Deep systems thinking and strong distributed systems fundamentals. - Experience designing, building, and operating large-scale production systems. - Strong judgment around tradeoffs involving latency, reliability, capacity, and cost. - Experience taking ownership of complex infrastructure from architecture through production operation. - Excitement about applying systems expertise to AI infrastructure and learning quickly as the underlying technology evolves. EVEN BETTER - Experience with ML infrastructure, MLOps, or production inference systems. - Experience serving LLMs or other large models at scale. - Experience operating self-hosted inference and GPU infrastructure. - Familiarity with inference frameworks such as vLLM or SGLang. - Experience with post-training infrastructure or inference-performance optimization. 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: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for distributed systems engineers and product-minded generalists to build the distributed runtime that powers large-scale LLM inference on Baseten. Our inference platform empowers customers to deploy and operate cutting-edge models with industry-leading performance, scalability, and reliability. It also powers Model APIs, our hosted endpoints for the latest open-source models. You'll work across the stack, from the developer experience customers use to deploy models, through the libraries behind features like tool calling and reasoning, down to the systems that orchestrate deployments on Kubernetes and route traffic efficiently. Your job is to make sure every model on our platform is fast, reliable, and cost-efficient. You'll join a small, high-impact team at the intersection of distributed systems, model performance, infrastructure, and product, helping define how developers use AI models at scale. This role is ideal for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users.   EXAMPLE INITIATIVES You'll get to work on these types of projects on our Inference Platform: - The Baseten Inference Stack at NVIDIA Dynamo Day https://www.baseten.co/blog/nvidia-dynamo-day-baseten-inference-stack/ - 2x faster inference with KV cache-aware routing https://www.baseten.co/blog/how-baseten-achieved-2x-faster-inference-with-nvidia-dynamo/ - How Baseten multi-cloud capacity management (MCM) unifies deployments https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/#comparing-deployment-options-cloud-vs-self-hosted-vs-hybrid RESPONSIBILITIES - Build the infrastructure and orchestration systems that deploy and run large-scale distributed LLM inference, including routing, autoscaling, scheduling, and runtime management. - Design, build, and operate Model APIs, with a focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling, and multimodal serving. - Implement platform fundamentals such as API versioning, validation, usage metering, quotas, and authentication. - Instrument deep observability (metrics, traces, logs) and build repeatable benchmarks for speed, reliability, and quality. Help set best practices for testing, release automation, and operational excellence. - Debug and harden complex production systems spanning Kubernetes, distributed runtimes, networking, and GPU workloads to improve reliability and scalability. - Partner with Inference Performance engineers and other teams to make new optimizations broadly available to customers and easy to configure. - Own projects end to end, from architecture through deployment, monitoring, and iteration on customer feedback. Along the way, make thoughtful tradeoffs between performance, reliability, operational simplicity, and developer experience.   REQUIREMENTS - Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field, or equivalent practical experience. - 3+ years building and operating distributed systems, backend infrastructure, or large-scale APIs where reliability, latency, and scale are first-class concerns. - A proven track record of owning low-latency, reliable backend services, including rate limiting, auth, quotas, metering, and migrations. - Infrastructure instincts with a feel for performance: profiling, tracing, capacity planning, and SLO management. - Comfort debugging performance and reliability issues across multiple layers of the stack, from application behavior down to runtime and infrastructure internals. - A strong sense of developer experience. You think about how systems are used, not just how they work. - Eagerness to learn new languages, frameworks, and systems, and a real interest in inference engineering. Prior ML or LLM experience isn't required, though experience with model serving or inference systems is a plus. - Excellent written communication and collaboration skills, including writing clear design docs and working across functions.   NICE TO HAVE - Experience with or contributions to LLM inference engines and frameworks such as vLLM, SGLang, TensorRT-LLM, TGI, or Dynamo. - Deep Kubernetes experience, including operators and custom resources, plus familiarity with service meshes or API gateways. - Experience with distributed scheduling, autoscaling, or service orchestration. - Experience operating GPU workloads in production. - A background in developer-facing infrastructure or APIs, or contributions to open-source infrastructure or ML systems. - Familiarity with observability tooling, CI/CD systems, or release automation. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Paris Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE MISSION You will be the reference point for the most complex hardware interventions across our sites. Mistral's compute is our largest investment and the foundation of frontier AI in Europe. As a Senior Data Center Hardware Engineer, you own the interventions that require the highest level of technical expertise: multi-node failures in production, full-rack deployments of GPU-dense systems, and vendor escalations where you speak as the technical authority for our sites. You'll work end-to-end — compute, storage, interconnect, power and cooling interfaces — across our data center footprint, raising the bar on reliability as our capacity grows. This is a hands-on senior IC role: deep technical leadership and mentorship, no direct line management. Location: Based at one of our data centers in the Paris region, with occasional visits to our other sites as needed.   WHAT YOU'LL DO - Lead complex interventions — vendor-level and multi-node operations in production: full rack builds and bring-up, GPU-dense platform deployment (H100/H200-class and next-gen, including liquid-cooled racks), intricate recabling, post-restart diagnosis. You own the plan, the risk assessment, and the rollback. - Own vendor management — coordinate repairs, part replacements and escalations directly with hardware vendors; hold them to their SLAs; drive proactive fixes from failure trends. - Diagnose at depth — correlate symptoms across compute, storage, interconnect and cooling; read BMC/IPMI consoles, OS logs and crash dumps; methodical root-cause analysis that ends in concrete corrective actions. - Deploy and validate — structured bring-up and validation of new racks and platforms; work with networking and infrastructure teams to take installations from delivery to production-ready. - Lift the team — mentor and pair with L1–L3 engineers on live operations; turn your knowledge into SOPs, checklists and training material; propose and build small automation (Python/Bash) to shorten MTTR. - Work the facility interface — partner with critical facilities/engineering ops on power, cooling (air and liquid), PDU and monitoring (BMS/EPMS) boundaries; enforce ESD/LOTO/PPE and audit-ready change discipline everywhere. - Own spares & reliability — plan spares strategy, track fleet failure trends, and run proactive vendor actions before incidents happen.   ABOUT YOU - 6+ years in data center / server hardware or L2/L3 hardware support, including complex hands-on work in production environments (HPC/AI/cloud at scale strongly preferred). - End-to-end hardware expertise: CPU/memory/PCIe (incl. accelerators), NICs, PSUs, drives, network, power and cooling interfaces (DLC included); strong judgment on when and how to escalate. - Diagnostics depth: confident with BMC/IPMI logs, Linux logs and CLI checks; structured root-cause analysis. - Deployment experience: you've taken racks from delivery to production, with concrete examples to show for it. - Vendor fluency: you've managed hardware vendors — RMAs, field replacements, escalations — to concrete outcomes. - Impeccable safety and discipline: ESD/LOTO/PPE without exception; clean, labeled, auditable work. - Communication & mentoring: clear status updates and handovers; able to coach engineers during live incidents with composure. - Mobility: willing to visit our other sites in the Paris region as needed.   NICE TO HAVE - GPU-dense platform experience: NVIDIA H-series (H100/H200) or GB-series rack deployments. - High-speed interconnects (InfiniBand/RoCE), RAID/storage (NVMe/SAS/SATA), vendor tooling (iDRAC/iLO/IPMI). - Automation (Python/Bash) for ops tooling and reporting; ticketing (Jira/ServiceNow), inventory/RMA flows. - Hardware qualification, burn-in or factory validation background. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Frontier AI is on track to be among the most consequential and most adversarially-targeted technology in the world. The capability curve is steep, the adversaries who want these systems are extremely well-resourced, and the security bar this will eventually require is well beyond where the industry operates today. Incremental hardening alone is not going to close that gap, so we need breakthroughs and a group of people to go find them. Security Labs is that team. We run a portfolio of high-risk, high-expected-value security projects: the work that seems impractical until someone optimistic and stubborn enough actually tries it. Projects run on the order of weeks rather than quarters, and each one is either handed off to the Anthropic team that will own it in production or wound down with a writeup of what we learned. We expect a meaningful fraction of our bets not to land. This team is intentionally scrappy and ambitious. We're intentionally iterating fast on high-risk research bets and we expect a meaningful fraction not to land. If a 30% project success rate sounds uncomfortable, or uncharted and chaotic territory isn’t both frightening and exciting, this probably isn't the right fit. There are other places in Anthropic Security doing important work with more structure, less risk, and more certain paths to positive outcomes. The questions we're trying to answer include: Can our core research workflows survive extreme isolation? Can we replace trust with cryptographic guarantees? Can the models themselves become our most effective security control? What would it actually take to defend against a tier-1 state adversary, and how much of that can we build now? Who we're looking for. We're hiring generalists with rare depth. You're a strong software engineer as a baseline, and on top of that you've gone deep in at least one area most engineers don't get near: firmware or hardware security, applied cryptography, OS / kernel / hypervisor internals, formal methods, reverse engineering, or high-assurance and cross-domain systems. You've built things under your own direction, you're comfortable jumping layers when the problem demands it, and you'd rather take a swing at something that might not work than ship the safe incremental thing. You think the trajectory of AI matters a great deal, you're not comfortable with how the security side of it is going by default, and you'd rather be on the inside building the answer than watching from outside. Current Project Areas The portfolio changes as we learn. The kinds of bets currently in flight or queued: Standing up a prototype high-assurance research cluster: running real Anthropic training and research workloads under extreme isolation and physical security controls, and finding out exactly where productivity breaks and what we'd need to invent to get it back Provable inference: cryptographic verification (zero-knowledge proofs, attestation chains) that a given output came from a specific model running specific code, replacing "trust us" with math Build hypervisor-isolated microVM workload isolation across the fleet Compiling an ML kernel through a formally verified pipeline where every lowering step carries a machine-checked proof of equivalence, making compilation-layer sabotage mathematically detectable Regenerating clusters: automation that spins up a purpose-built cell, runs a workload, and tears the whole thing down on a TTL measured in hours, so attacker persistence has an expiry date Using Claude itself to drive security work end to end: threat modeling new compute platforms, rewriting critical services to zero external dependencies, running the test equipment that validates what hardware datasheets claim Part of your job is deciding what comes next. We hire people we trust to pick good bets, and project selection is owned by the engineers doing the work. Key responsibilities Own Security Labs projects end to end. You'll scope the bet, build the prototype, run it against real workloads, and bring it to either a hand-off or a documented exit Stand up novel security infrastructure fast (isolated clusters, attestation chains, hypervisor and runtime work, verification tooling) optimizing for what we learn rather than for permanence Find the receiving team early, bring them along while you build, and hand them something they actually want to own Work embedded with research and infrastructure teams (Pretraining, RL, Inference, Compute) to test whether their workflows survive what you're proposing, and document precisely where they don't Turn experimental results into short writeups that shape Anthropic's long-term security architecture, and into costed contingency plans we could execute on short notice Help pick the next round of bets and influence the industry to get better along the way Minimum qualifications Genuinely care about where AI is heading and want to work on the security problems that determine whether it goes well. This is the most important thing on this list Have real depth in at least one area most software engineers don't touch (e.g. firmware or hardware security, applied cryptography, OS / kernel / hypervisor internals, formal methods and verification, reverse engineering and exploit development, or high-assurance / cross-domain systems) Have built and shipped things under your own direction. Maybe you founded a company or research group, maintained an open-source project other people depend on, or shipped research that changed how people in your field work. We weight this far more than where you've worked or for how long Have a track record of choosing the problem yourself and seeing it through, rather than only executing a plan someone else handed you Are comfortable jumping between domains and layers of the stack when the problem calls for it, and have actually done so Have run prototypes or experiments where the goal was answering a hard question rather than shipping a permanent system, including ones that didn't pan out Write clearly enough to turn weeks of work into a couple of pages someone can act on Change your mind when the evidence says to, and are fine being the least-expert person in a room full of specialists Care about defense. Plenty of folks here come from offense and that background is valuable, but what you actually want to spend your time on now is making systems hold up Are a strong programmer (Python plus at least one of Rust, Go, or C/C++) and can stand up real infrastructure without that being the interesting part of your week Preferred qualifications Experience inside airgapped or high-side environments (classified networks, cross-domain solutions, ICS/SCADA, financial trading infrastructure) and the operational realities of working in them A background in offensive security, red teaming, or vulnerability research, with calibrated intuitions for which threats actually matter Familiarity with ML infrastructure (training pipelines, distributed schedulers, inference serving, accelerator hardware) sufficient for grounded conversations with researchers about what their workloads actually need A history of working in environments built around rapid iteration rather than rigid change control: startups, applied research groups, independent consulting, small security shops 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: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE The Products Team at Docker is looking for a Principal Product Manager to lead components of Docker Sandboxes. You will own and drive this strategic product area from high-level concept design through delivery, adoption, and operation. You will help shape how developers and AI agents use fast, secure, isolated environments across local and cloud workflows. You will work closely with developers inside and outside of Docker, our customers, and our partners to expand our open ecosystem offering and provide value. As the company and ecosystem grow, you will help foster teams eager to continuously build, measure, and learn. To thrive in this role, you will need experience working with developers, deep technical fluency in systems and developer infrastructure, and prior experience as a software engineer. You will need to understand containers, sandboxes/microVMs, virtualization technologies, hypervisors, the software development lifecycle, and how untrusted or agent-generated code can be safely executed and orchestrated. You will need a relentless drive to try new things and an eye for detail. Your long-term success will depend on your ability to own the product roadmap, earn the trust of the developer community, and scale reliable services. Most importantly, you will need to be comfortable taking ownership of big objectives with big goals, working with a cross-functional team, and maintaining a bias for action. _______________________________________________________________________ RESPONSIBILITIES - You own Docker Sandboxes, its long-term vision, roadmap, revenue, adoption, and results. - You believe in and can succinctly articulate our customers, their workflows, and their pain points. You empathize with the world they live in and the security, performance, compatibility, and cost constraints they work through. - You will engage deeply with developers building AI agents, coding environments, CI and testing systems, and other workloads that require secure, isolated execution, finding solutions for today while optimizing for tomorrow's vision. - You enjoy building infrastructure products that are easy to adopt and use. You will turn complex tradeoffs across isolation, startup time, performance, density, networking, storage, and cost into simple product experiences. - You are comfortable with ambiguity and will guide product definition, feature prioritization, and scope in concert with engineering, design, security, operations, and go-to-market teams. - You are a fan of iterative development, working with customers and cross-functional teams to hypothesize, measure adoption and impact, learn from releases, and continually improve the roadmap. _______________________________________________________________________ QUALIFICATIONS - You have deep empathy for the needs of developers and are obsessed with talking to your users. - You have prior professional experience as a software engineer, ideally in systems, infrastructure, platform engineering, developer tools, or cloud. - You have strong technical familiarity with sandboxes/microVMs, containers, virtualization technologies, and hypervisors, including the isolation and security boundaries each provides. - You understand the building blocks of modern developer infrastructure, including Linux, container runtimes, orchestration, networking, storage, APIs, and cloud services. - You have experience designing, building, or operating systems that execute customer-provided, untrusted, or agent-generated code at scale. - You are comfortable interacting with a command-line interface and discussing APIs, SDKs, and technical architecture with engineers and developers. - You have experience building B2B or SaaS products, or a background in public cloud and developer infrastructure. - You understand software supply chain and software security concerns, including multi-tenant isolation, identity, secrets management, observability, and reliability. - You can break down complex technical problems into small, releasable, user-valuable features. - You can explain complex ideas simply and communicate effectively in writing, verbally, and visually across diverse stakeholders. - You can analyze qualitative and quantitative data to inform decisions, define success metrics, and prioritize investments. - You have a collaborative approach, experience running products from greenfield to scale, and the ability to work with fast-moving, distributed, cross-functional teams. You are a doer as well as a strategist; we are small and need all hands on deck. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Get to know Docker: our vision, mission, and values. - Understand the Docker Sandboxes team's mission, product strategy, and technical architecture. - Meet the team along with peers across the business unit and company. - Work closely with designers, researchers, engineers, security partners, and customers to understand user needs and current pain points. - Work with your manager and team to review and create quarterly goals. - Understand the product roadmap, key technical and business tradeoffs, and the data available to make data-driven decisions. FIRST 90 DAYS - Understand the company's and business unit's product vision and how Docker Sandboxes contributes to it. - Provide clarity on product vision, target users, priority use cases, and how the team contributes to the overall success of Docker. - Develop a deep understanding of our developers and customers, how they use isolated environments, and why they choose Docker. - Shape the team roadmap and product strategy in close collaboration with design, engineering, security, and go-to-market peers. - Lead the definition of team OKRs and success metrics for the quarter, and provide clear progress reports. ONE YEAR OUTLOOK - Lead product initiatives across cross-functional teams that make secure, isolated execution simple and valuable for developers and AI agents. - Drive the long-term direction of Docker Sandboxes, including improvements to adoption, ecosystem integration, reliability, scale, unit economics, and ARR. Visa sponsorship: Not available for this role. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada CA$255,500 - CA$365,000 base United States: $280,000 – $300,000 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Minnesota, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking a Critical Infrastructure Engineer to help ensure the availability, resilience, and operational readiness of the critical systems supporting Nebius data center IT infrastructure. The primary objective of this role is uptime . You will provide technical oversight across the electrical and mechanical infrastructure responsible for delivering reliable power and cooling to our GPU and IT environments. Rather than serving primarily as a maintenance technician, you will verify that critical infrastructure is operated safely, consistently, and in accordance with established SLAs, engineering standards, change-control procedures, and operational best practices. You will also act as an important bridge between IT infrastructure teams and electrical/mechanical specialists. The ideal candidate understands how servers, networking equipment, racks, and GPU systems operate inside a data center while also having enough exposure to critical facilities systems to understand—and challenge when necessary—the infrastructure supporting them. The position combines technical analysis, provider governance, change management, incident response, and hands-on familiarity with data center IT environments. You will work onsite in our Minnesota data center location. Your responsibilities will include: Critical Infrastructure & Uptime Help ensure the availability and operational readiness of the electrical and mechanical infrastructure supporting production data halls and high-density GPU environments. Monitor critical infrastructure performance against contractual SLAs, operational requirements, and established reliability standards. Develop a strong understanding of the complete power and cooling path supporting IT equipment and identify conditions that could introduce operational risk. Review infrastructure capacity, redundancy, and operating conditions to ensure the environment can reliably support current and planned compute deployments. Identify infrastructure risks and work with service providers and internal teams to drive corrective actions before they impact production. Support infrastructure planning for data center expansions, capacity increases, and new GPU deployments. Power & Electrical Infrastructure Provide technical oversight of data center electrical infrastructure, including generator plants, automatic transfer switches (ATS), UPS systems, battery banks, switchgear, breakers, busbars, bus plugs, PDUs, and related power distribution equipment. Understand electrical distribution from facility-level infrastructure through rack-level delivery and IT equipment. Participate in technical reviews involving power capacity, electrical distribution, equipment sizing, redundancy, and infrastructure design. Work with electrical engineers and infrastructure providers to evaluate proposed changes and ensure appropriate engineering validation is completed before production implementation. Cooling & Mechanical Infrastructure Understand the cooling architecture supporting high-density GPU and IT environments, including water and glycol loops, rear-door heat exchangers (RDHx), evaporative systems, coolant distribution systems, facility water systems, dry coolers, and chillers. Evaluate how cooling infrastructure interacts with GPU systems and high-density racks to maintain required operating conditions. Partner with mechanical engineers and service providers to review system performance, capacity constraints, and proposed infrastructure changes. Identify potential thermal or cooling risks that could affect compute availability or future capacity. Provider Governance & Change Control Provide technical oversight of third-party critical infrastructure and colocation service providers. Ensure provider activities comply with Nebius policies, approved procedures, contractual SLAs, and operational requirements. Review and approve change requests involving critical infrastructure supporting production environments. Challenge incomplete or high-risk work plans and ensure appropriate testing, rollback procedures, risk analysis, and stakeholder communication are in place before work begins. Maintain strong governance around maintenance and infrastructure changes that could affect production availability. Hold service providers accountable for corrective actions, operational performance, and agreed service levels. Incident Response & Operational Risk Participate in critical infrastructure incidents and coordinate technical response with providers, Data Center IT, networking, and engineering teams. Support root-cause analysis following power, cooling, or infrastructure-related incidents. Review incident findings and ensure corrective and preventive actions are documented, assigned, and completed. Help develop and continuously improve emergency response procedures, escalation paths, change-control standards, and operational documentation. Identify recurring infrastructure risks and drive improvements that increase reliability and reduce the likelihood of customer impact. IT & Critical Infrastructure Integration Work closely with Data Center IT teams to understand how critical infrastructure conditions affect servers, networking equipment, GPU clusters, and other production systems. Apply practical knowledge of data center IT operations, including racks, servers, fiber, cabling, network equipment, and hardware deployment. Support cross-functional troubleshooting where the root cause may span IT equipment and facility infrastructure. Help create stronger operational alignment between IT infrastructure and electrical/mechanical teams. Reporting & Stakeholder Communication Translate complex infrastructure conditions, incidents, risks, and provider performance into clear information for technical and business leadership. Develop reports, dashboards, presentations, and operational analyses related to uptime, infrastructure performance, capacity, incidents, and service-provider performance. Participate in technical and leadership meetings as a subject-matter resource for data center critical infrastructure. Use operational data to identify trends, communicate risk, and drive measurable improvements in reliability and provider performance. We expect you to have: Experience working in data center, cloud infrastructure, colocation, critical facilities, or other mission-critical environments. Practical understanding of IT infrastructure, including servers, racks, networking equipment, structured cabling, and fiber. Working knowledge of data center electrical infrastructure such as UPS systems, generators, switchgear, PDUs, batteries, breakers, and power distribution. Exposure to data center mechanical and cooling systems, including chilled-water, glycol, liquid-cooling, or comparable thermal-management environments. Ability to understand how electrical and mechanical infrastructure directly impacts IT equipment availability and performance. Experience participating in infrastructure change management, incident response, operational risk management, or maintenance governance. Ability to review technical plans, ask detailed engineering questions, identify risk, and work effectively with electrical and mechanical subject-matter experts. Strong analytical skills with experience using Excel for reporting, data analysis, and operational metrics. Strong written and verbal communication skills with the ability to communicate effectively with engineers, vendors, service providers, and senior leadership. A proactive, ownership-driven approach with the ability to operate effectively in a high-availability production environment. Nice to have: Experience supporting high-density GPU, AI, HPC, or hyperscale data center environments. Experience with direct-to-chip liquid cooling or other advanced cooling technologies used for high-density compute. Experience managing colocation or third-party critical infrastructure providers against contractual SLAs. Familiarity with Tier III data center environments and high-availability infrastructure principles. Experience developing or implementing change-management, incident-response, or emergency-response procedures. Experience supporting infrastructure capacity planning, expansion projects, or new data center deployments. Relevant electrical, mechanical, data center, or critical facilities certifications. Key Employee Benefits in the US: Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) Plan: Up to 4% company match with immediate vesting. Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $45 — $57 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. By combining advanced sensing, data science, and technology designed for continuous wear, WHOOP delivers insights that help members better understand and improve their health and performance. WHOOP is looking for a Senior Sensor Intelligence Engineer to join our Embedded Controls team within Sensor Intelligence and help shape the sensing capabilities across current and future WHOOP devices. Sitting at the intersection of signal processing, machine learning, embedded systems, and sensor technology, you will develop algorithms that interpret real-world sensor signals and intelligently control how sensors operate on-device. You will work across the sensing stack from understanding sensor physics and signal characteristics through algorithm development and embedded deployment to enable increasingly sophisticated sensing capabilities while meeting the power, compute, memory, and reliability constraints of a continuously worn device. RESPONSIBILITIES: - Develop signal-processing and machine-learning algorithms that interpret physiological, motion, and other wearable sensor signals, including applications such as activity and state detection, wear detection, signal-quality assessment, and device-state estimation - Design intelligent embedded control strategies that dynamically configure sensor behavior based on signal quality, device state, user context, system requirements, and power constraints - Characterize new and existing sensors by understanding signal behavior, noise sources, artifacts, dynamic range, sampling requirements, calibration, operating modes, and the impact of analog and acquisition architectures - Prototype algorithms and sensing strategies using tools such as Python or MATLAB, then partner with Firmware Engineering to translate them into robust, computationally efficient implementations suitable for resource-constrained embedded systems - Partner closely with Firmware, Electrical Engineering, Data Science, Hardware, and broader Sensor Intelligence teams to bring up new sensing modalities, debug issues across the sensing stack, and inform sensing architectures for future WHOOP products - Develop experiments, analysis frameworks, and validation methodologies to evaluate sensor and algorithm performance across users and real-world conditions, optimizing solutions for accuracy, robustness, latency, memory, compute, and power QUALIFICATIONS: - BS, MS, or PhD in Electrical Engineering, Computer Engineering, Biomedical Engineering, Computer Science, Applied Physics, or a related technical field, or equivalent practical experience - Strong foundation in digital signal processing and time-series analysis, with experience applying techniques such as filtering, spectral analysis, sampling theory, noise reduction, and feature extraction to real-world sensor data - Experience developing signal-processing and/or machine-learning algorithms for noisy, artifact-prone sensor data and taking algorithms beyond offline analysis toward real-time, embedded, or production implementation - Strong proficiency in Python, MATLAB, or similar algorithm-development environments, with working knowledge of C/C++ and embedded-system considerations such as timing, memory, compute, and hardware interfaces - Working knowledge of sensor and electrical systems, including concepts such as ADCs, analog front ends, sampling, digital interfaces, noise, calibration, and signal acquisition - Ability to investigate and solve ambiguous engineering problems across algorithm, firmware, sensor, and electrical boundaries using strong experimental and analytical methods - Experience with wearable, physiological, optical, impedance, motion, multimodal, or related sensor systems is valued; experience with embedded inference, sensor fusion, fixed-point processing, quantization, low-power sensing, or microcontroller deployment is a plus - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.