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Location: Singapore; Melbourne; Sydney Workplace: Hybrid 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. WHAT YOU WILL DO As an AI Deployment Strategist, AI4Eng for Physics and Engineering in APAC, you are Mistral's forward-deployed operator on strategic enterprise accounts across automotive, aerospace, semiconductors, industrial equipment, and energy. You own the delivery of AI solutions for physics and engineering challenges end-to-end. Discovery, Scoping & Solution Design: - Run technical discovery sessions to understand business and engineering requirements. - Identify, qualify, and prioritize use cases aligned with the customer's strategic R&D and product-development challenges. - Translate business goals into a concrete AI roadmap and high-level solution architecture, validating feasibility with Product and Applied AI teams. - Build ROI models and business value propositions, and own scoping documents and SOW inputs. Delivery & Program Management - Own end-to-end delivery: discovery → design → build → deploy → adoption. - Set up the account operating model: governance, decision forums, and cadence. - Drive day-to-day execution: priorities, milestones, unblockers, and risk management. - Drive scope control and change management, ensuring the right artifacts are produced (design doc, runbook, eval plan, rollout plan, handover). - Bring knowledge of processes and regulations from the industries we serve (aerospace, semiconductor, automotive, industrial equipment, energy). Adoption, Value Realization & Expansion - Lead user testing, training, change management, and developer enablement. - Track value realization against agreed KPIs and report to executive sponsors. - Capture field learnings and feed product gaps and platform needs back to Product, Science, and Engineering. ABOUT YOU - Advanced university degree in physics or engineering, or IT. - 5+ years of experience as a (technical) project manager in a relevant industry, e.g., automotive, semiconductors, or aerospace. - Experience in software development, machine learning, and ideally in numerical simulations for physics and engineering (CAE, CFD, FEM, DEM, etc.). - Hands-on coding proficiency (Python at minimum), with the ability to read design docs and hold your own in deep technical conversations with data scientists, ML engineers, and simulation engineers. - Strong grasp of where AI creates value in computational science: surrogate models, PDE solvers, FEM/CFD acceleration, inverse problems, and differentiable simulation. - Familiarity with deployment patterns (SaaS, VPC, on-prem, hybrid), security and compliance basics, and ideally agile project management methodologies. - Strong communication skills with the ability to explain complex technical concepts in simple terms and to manage C-level stakeholders. We are looking for adaptable team players who excel in a fast-paced environment, are ready to own delivery across APAC accounts, and are prepared to support pre-sales motions to contribute to our shared goals and growth. INTERVIEW PROCESS - Talent Acquisition screening call (30 min) - 30 min Hiring Manager Interview - 45 min Technical Interview (physics, simulation, and AI deep dive) - 45 min Business Acumen Interview - Panel (Customer Meeting Role-Play & Use Case Scoping Exercise, 1h) - 30 min Value Talk - Reference check 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 | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Safeguards Enforcement team detects and mitigates misuse of Claude, and much of that work depends on people: a growing human review workforce made up of full-time staff, contractors, vendors and BPO partners. As that workforce scales across a widening range of harm areas, the programs that bring people in, give them the right access, and roll them off cleanly have to keep pace. As Program Manager for Safeguards Workforce Operations, you’ll own those programs end to end. You’ll run onboarding, offboarding, device provisioning and access provisioning for every worker type we use, working hands-on with the requests themselves while you build the processes that make them repeatable. You’ll partner with Enforcement leads to turn shifting priorities into capacity plans, and carry those plans through with our vendor partners. Because this role supports every Safeguards Enforcement program, you’ll also connect the dots across Anthropic, working with IT, People Operations, Security, Contingent Workforce, Human Data Operations and other teams running scaled human review to streamline practices and keep standards consistent. This is a role for someone who likes fixing broken things at speed. The landscape moves quickly, priorities change often, and the work is an even mix of direct execution and program building. Key responsibilities Own the workforce lifecycle for contractor, vendor and BPO reviewers: onboarding, offboarding, device provisioning and access provisioning Triage and execute inbound requests for new or changing vendor, BPO and contractor capacity Turn ad hoc or broken processes into scalable ones, with clear owners, service levels and a system of record Partner with IT and Security on access governance: least-privilege provisioning, timely revocation and regular access reviews Build and maintain capacity plans with Enforcement leads, translating review demand into workforce needs and adjusting as priorities shift Work with Safeguards vendor management to hold partners accountable to capacity and onboarding commitments Align practices with Human Data Operations and other teams running scaled human review, and help them streamline their own workflows Help define the long-term workforce strategy for Safeguards Enforcement Minimum qualifications Have personally run onboarding, offboarding, access and device provisioning for contractor, vendor or BPO workforces — doing the work, not only overseeing it Have operated scaled human review programs with vendors or BPOs, such as trust & safety, content moderation or data annotation operations Have taken a broken or ad hoc process, made it scalable, and brought other teams along in adopting it Understand the fundamentals of capacity planning: how volume, handle time, quality targets, ramp and attrition turn into workforce needs Exercise sound judgment on access and permissions, and know when to bring in IT or Security Move quickly and stay effective when priorities change and information is incomplete Build alignment through direct partnership with the teams you depend on Preferred qualifications Owned a vendor or BPO relationship directly, including service levels and business reviews Built formal capacity models for review or operations workforces Supported workforces across more than one enforcement or harm area Hands-on experience with device management and identity and access tooling Worked through a period of hypergrowth where programs had to mature alongside the organization The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 — $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 Join Anthropic's Commercial Legal team as a Technical AI implementation specialist, where you'll be responsible for leveraging Claude and other technologies to scale and increase efficiency of legal operations. You'll drive AI adoption across team workflows, optimize internal tooling, and lead cross-functional initiatives to enhance productivity. This role offers the unique opportunity to shape the future of legal operations through technology while working with Claude and other business critical systems. Key responsibilities Implement AI-powered solutions to streamline contract review and redlining processes Manage integrations between existing legal systems and AI tools Develop automated self-service solutions for high-volume, low-touch contracting processes, including FAQ chatbots and guided workflows Create AI-based tools for handling commercial contract diligence requests Optimize contract management platforms with AI capabilities Create and manage comprehensive program plans, including timelines, budgets, and resource allocation, to guide project execution Build and maintain metrics dashboards to track efficiency improvements Establish practical governance processes for AI use in legal operations Coordinate with Engineering and Product teams on solution development Identify and mitigate potential risks and issues that could affect program success, ensuring proactive problem-solving Minimum qualifications Experience evaluating and implementing legal technology platforms such as contract management systems, workflow management systems, or document management tools Show genuine curiosity about AI/ML applications and hands-on experience with LLM tools (especially Claude!) Possess excellent problem-solving skills and can translate legal business needs into scalable technical solutions Excel at cross-functional collaboration and can communicate effectively with both technical and legal stakeholders Self-directed and can manage multiple technical projects simultaneously Preferred qualifications At least 5 years of relevant experience in legal operations, legal technology, or technical roles supporting legal teams Technical aptitude with system integration knowledge Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excellent verbal and written communication, analytical, collaboration, and interpersonal skills Proven project management skills, including the ability to prioritize tasks, meet deadlines, manage multiple projects simultaneously, and deliver quality results Collaborative team player mindset with genuine interest in technology development and AI, thriving in fast-paced environments Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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. 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: Metn, Lebanon The Company Toters is an on-demand e-commerce and delivery platform and operates a service that enables customers to get anything in their city at the highest level of convenience. At Toters, technology is at the heart of everything we do. We have product teams that are working hard every day to create products that make our customers' lives easier. Our engineers are also continuously creating solutions to make our processes more efficient, all in an effort to get to our customers fast and at the best cost. If you are interested in working in a high growth startup environment, and look to be part of a team that will potentially change the way customers shop in the Middle East, apply now. Role We are looking for a Senior Data Analyst to own end-to-end analytics for our core engines. In this role, you won't just build dashboards, you will partner directly with Business Leaders to define roadmaps, business cases, and design synthetic experiments. You will turn ambiguous data into an actionable strategy that directly impacts customer conversion, driver efficiency, and growth. What You’ll Do Product Partnership & Strategy: Collaborate with Product Managers, Strategy Directors and Business leaders to translate complex business problems into data-driven product features and strategic roadmaps. Experimentation & A/B Testing: Design, implement, and analyze rigorous A/B and multivariate tests to evaluate feature launches, pricing mechanics, and UX changes across our apps. Funnel & Marketplace Optimization: Deep-dive into consumer retention, funnel conversion, courier dispatch dynamics, and merchant metrics to unlock business growth and improve unit economics. Metric Standardization: Define core product KPIs and maintain a single source of truth by building robust data models (data warehouse) and production-grade dashboards (Tableau). Data Quality & Infrastructure: Enforce strict data validation standards, maintain data governance across clickstream/event tracking, and ensure downstream reporting reliability. Technical Leadership: Mentor junior analysts, lead code reviews for analytical SQL scripts, and elevate overall analytics best practices across the team. What We’re Looking For Experience: 4+ years of data analytics experience, ideally in a product-led tech company, hyper-growth startup, or multi-sided marketplace (e.g., delivery, ride-hailing, e-commerce). Advanced SQL Mastery: Recognized expert in writing clean, modular, scalable SQL code optimized for complex datasets. Statistical Rigor & Python/R: Strong understanding of hypothesis testing, causal inference, and statistical modeling using Python or R. BI & Data Modeling: Hands-on experience building centralized dashboards in Tableau and working with modern data stack tools (dbt, Snowflake, BigQuery, Databricks). Product Intuition: Demonstrated track record of leveraging user behavior analytics (event tracking, cohort analysis, funnel drop-off) to directly influence product decisions. Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or an equivalent quantitative field. Nice to Have Experience working with clickstream tools (Mixpanel, Amplitude, Segment). Hands-on knowledge of data engineering tools or orchestration frameworks (Airflow, dbt). Experience in experimentation tools (Statsig)

Location: Amman, Jordan We are looking to recruit Associate Support Engineers who will receive an intensive training in the field of Support & Implementation and its related technologies and will be involved in providing remote IT technical liaison during the shift, in addition to providing support and network administration to the customers and troubleshooting issues over the phone/emails and onsite whenever needed. Responsibilities: Provide first-line support for the helpdesk and all associated processes. Provide tier-one telephone support for software applications. Provide Basic troubleshooting for software problems covered in training. Utilize help desk software to keep an accurate account of all incoming calls, opened incidents, and requests. Route calls and notify technicians of any critical situation requiring immediate attention. Maintain the proper skills necessary to interface with a variety of users regarding specific problems. Troubleshoot and provide appropriate solutions to problems. Serve as a liaison between customers and the technical department. Maintain client confidence and protects operations by keeping information confidential. Contribute to team effort by accomplishing related results as needed. Perform any other related duties incidental to the work. Requirements: Fresh graduates - up to one year of experience. BSc degree in computer information system or any related field. Willingness to work on different shifts either from (04:30PM - 1:00AM) or (12:00AM – 08:30AM) or (8:00AM - 5:30PM). Willing to travel and work extra hours when needed. Willing to relocate as needed. Excellent written and verbal communication skills (Arabic & English languages). Knowledge of Database engines (Oracle, MS-SQL, Postgres). Knowledge of Operating Systems (Unix/Linux and Windows). Knowledge of Cloud Infrastructure Tools (Docker & Kubernetes) and DevOps Techniques. Knowledge of Application servers (Apache Tomcat, WebLogic, and WebSphere). Familiar with Networking, HA & Disaster Recovery, and Backup & Recovery strategies. Strong customer service and excellent interpersonal skills. Ability to listen and understand what is being described by the end user as well as the ability to explain problem resolutions when necessary. Work with integrity and ethics. Uphold organization values. Show respect and sensitivity for cultural differences.

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Capacity Deployment Lead within Anthropic's Data Center Operations (DCO) organization, you will support and scale how we bring new compute capacity online across a growing fleet of partner-operated data centers. Deployment runs from construction kickoff to ready for service (RFS). You are engaged during planning and construction, and on-site and hands-on from EFA through infrastructure delivery and receiving, integration QA, power-on and network turn-up, burn-in and validation, and acceptance. You work with hardware vendors and operations partners for completion of each CU (capacity unit) with a structured handover into production operations and the maintenance program. The scope is compute: accelerator systems, racks, and the infrastructure around them - at the sites in service today and the ones coming online behind them. This is a program and execution role. You will work with the Global Capacity Delivery Program Lead and the broader Data Center Operations organization, to extend its coverage across more sites and platforms as the fleet grows. Expect 50%+ travel: you get eyes on via boots-on-the-ground for each site in preparation for and during delivery, deployment, QA, and close-out, and your authority comes from being there. Working with vendors and partners, you set direction, priorities, and standards for execution, and you prove results with Anthropic-owned data rather than self-reported status. What you learn at one site - what worked, what slipped, what should become standard - becomes the playbook for the next wave. If you have delivered data center hardware at scale, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities Include: Own deployment outcomes for your assigned sites and data-hall waves: CUs and hall ready-for-service dates met, with exceptions closed out, or risk called early enough for leadership to act. Engage from construction kickoff and confirm deployment readiness ahead of each wave - floor access, power, network, receiving paths, and partner staffing - working the gaps with the site operations partner and facilities counterparts before racks arrive. Be on site at key points before and during delivery, deployment, QA, and close-out; verify the work with your own eyes rather than from a dashboard, and support the on-site teams with your direct expertise. Work with partner's site leadership to ensure success through rack delivery and receiving, integration QA, power-on and network turn-up, and burn-in and validation, setting daily priorities and quality gates and confirming results against Anthropic-owned ticket and telemetry data. Validate the handover gate for each CU and data hall: acceptance criteria met, burn-in complete, documentation delivered, spares positioned, ticketing live, and a structured handover into production operations and the maintenance program. Turn best practices, optimization, and lessons learned from each deployment into program-wide improvements: procedures, checklists, acceptance standards, and metrics, so the next wave runs faster and cleaner than the last. Extend the deployment program to new sites and platforms, adapting standards and acceptance criteria as the hardware changes. Communicate deployment status, dependencies, constraints, and risk to engineering, capacity planning, the team that owns the overall site schedule, and leadership. You may be a good fit if you: Have 8+ years of experience in data center operations or hardware deployment as a manager, technical lead or related role, including accountability for delivery milestones. Can demonstrate a proven track record leading compute or network hardware deployments at a large scale across multiple sites or data-hall waves, from early floor access through ready for service. Have managed vendors, OEMs, or contract workforces to measurable outcomes: milestones, quality gates, operational reviews, and corrective action. Possess hands-on technical depth in server, network, and rack-level hardware, enough to independently verify deployment quality and audit vendor claims. Have built or substantially improved operational processes. Are comfortable working with schedule, ticket, and telemetry data to drive decisions. Can travel heavily and work on site for extended stretches, including during delivery surges and turn-up windows. 50% Travel expected. Possess a bachelor's degree in relevant domain or equivalent practical experience. It’s a bonus if you have: Experience with GPU/accelerator or high-density liquid-cooled infrastructure, including bring-up of liquid-cooled racks. Experience standing up operations at a new site or data hall, from commissioning handoff through first deployment. Experience deploying more than one accelerator platform, or introducing a new hardware platform into an existing deployment program. Experience delivering deployment outcomes inside partner-operated or colocation sites where on-the-floor operations are staffed via third parties. Familiarity with dense accelerator network cabling, optics, and high-speed interconnect at rack and pod scale. 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 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 As a Sales Enablement Trainer, Claude Products, you'll teach Anthropic's global sales team how to use our products, both to do their own work better and to position Claude credibly with customers. Anthropic ships quickly, and the surface area of what we build is growing faster than any individual seller can track. The job has two components. The first is enabling our own people to be power users of Claude so the field is the most sophisticated user of the product we sell. The second is enabling them to position it: to run a credible technical conversation with a customer, anticipate the hard questions, and hold their own with a technical buyer. In this role, you’ll help define what an AI-native sales team looks like. The best person in this role already uses Claude to help them excel in a sales or sales enablement role. You'll be embedded enough with Product and Applied AI to see around the corner and be opinionated enough to say which surfaces to invest enablement resources behind. You'll need enough technical credibility to earn the respect of engineers and enough commercial fluency to earn the respect of sellers. Key responsibilities Own product enablement for the global field organization, spanning new launches, existing capabilities, and the product roadmap ahead Build the programs that make Anthropic sellers genuinely expert users of Claude in their own daily work Create enablement that equips the field to position our products with technical and business buyers, including demo readiness, objection handling, and competitive framing Partner closely with Product, Product Marketing, and Applied AI to get early visibility into what is shipping and to shape how it reaches the field Anticipate which new product surfaces will require enablement investment, and make the case for that investment before launch Build and maintain the product certification path that credentials sellers on our core products Create high-quality enablement content including demo scripts, technical talk tracks, solution guides, and competitive positioning material Establish feedback loops that carry field and customer signal about product gaps back to Product and Product Marketing Minimum qualifications Experience in a sales or sales enablement role Experience building AI automations into sales workflows and tooling Hands-on, regular use of AI assistants and agentic tools (e.g., Claude, Claude Code) in your own real-world workflows Working technical knowledge of how LLM products work (e.g., prompting, context, tool use, APIs), enough to demo them live and field technical questions from engineering buyers Experience writing and presenting technical material for audiences with very different levels of technical depth Preferred qualifications Experience bridging sales and technical audiences in a role such as solutions engineering, sales engineering, technical enablement, product marketing, or technical account management Hands-on experience building with LLM APIs, agentic frameworks, or developer tooling Experience turning complex, fast-moving technical products into enablement content such as demo scripts, technical talk tracks, solution guides, or training curricula Experience owning launch readiness for a technical product across a global field organization Experience partnering with Product or Product Marketing to prepare a field team ahead of launch, not after it Experience building programs from 0 to 1 in fast-paced, ambiguous environments 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 — $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco Bay Area, CA Workplace: Hybrid About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. ABOUT THE ROLE: As a Field Account Development Executive at Teleport, you will own engagement with the accounts that matter most to our business in your metro. Teleport unifies identity across humans, machines, workloads, and AI agents — replacing fragmented, credential-based access with a hardware-rooted, cryptographic identity layer that scales zero trust across cloud and on-prem environments. You'll work closely with Field Marketing, Partner, Demand Gen, and the Account Executives who carry your accounts to build presence and pipeline in a single city, pairing multi-channel outbound with a heavy in-person motion across meetups, conferences, partner activations, and Teleport-hosted events. Instead of a sequence and a dial target, you'll be given a fixed book, a territory budget, an events calendar, a warm-path map, and the latitude to decide how all of it gets used. This role is ideal for a self-directed relationship builder who wants to become a field seller — someone who treats a city as a territory to be earned rather than a list to be worked. Expect to be in the field regularly, typically a couple of evenings a week and more during conference weeks. Reaching people has never been easier; earning their trust has never been harder. That harder part is the job, and it happens face to face. WHAT YOU'LL DO: - Own and quarterback the development of a fixed book of named enterprise and mid-market accounts in your metro, in partnership with the AEs who carry them - Build and defend a point of view on each account: who the buying committee is, what they care about, where the entry point is, and what the next three touches should be - Show up. Attend and work the meetups, happy hours, conferences, partner events, and Teleport-hosted events in your territory. Become a known face in your city's infrastructure and security community - Create reasons to engage that aren't a meeting request — event invitations, gifting, relevant third-party content, community connections, local activations - Map warm paths into your accounts using our customer, alumni, and employee networks, and drive the referral ask to completion, including directing the AE on when and how to make it - Run multi-channel outbound (phone, email, LinkedIn) against the buying committee, with real personalization rather than volume - Work with Field Marketing on which events are worth sponsoring in your metro, and with our Partner team on co-marketing opportunities that reach your 50 - Convert in-person contact into structured next steps: AE meetings, executive conversations, technical deep dives - Log every touch in Salesforce and Outreach so account progression is visible and creditable - Present a monthly account review: what you've done across the 50, what worked, what you're doing next, and where you need air support - Use our intent, buying-committee, and enrichment tooling — including AI-assisted research and account planning — to decide where to spend your week WHAT WE'RE LOOKING FOR: - Based in your metro. You live in San Francisco Bay Area and can be in the field on short notice. This role is not remote-anywhere - Experienced: 3+ years in a role where you built relationships and pipeline in a defined territory. That could be account development against enterprise or mid-market named accounts, field or event marketing, community or developer relations, partner development, or field sales. What matters is that you've worked named accounts rather than lists, and that you've done it with real people in real rooms - A field animal: You would rather be at a happy hour with forty engineers than on your ninth call of the morning. You are comfortable walking into a room where you know nobody and leaving with three conversations worth following up - Self-directed: You are given a goal and a budget, not a playbook. You decide what to build. You bring ideas rather than waiting for a program - Technically curious: You can hold a credible conversation with platform, infrastructure, and security engineers about the problems they have. You don't need to be an engineer; you do need to be genuinely interested - Relationship-first: You measure your work in trust built, not touches logged — while still logging the touches - Tool-fluent: You are fast with modern GTM tooling and AI assistants, and you'd rather build your own leverage than file a request - Ambitious: You want to be a field seller. This role is the on-ramp Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: New York City, NY Workplace: Hybrid About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. ABOUT THE ROLE: As a Field Account Development Executive at Teleport, you will own engagement with the accounts that matter most to our business in your metro. Teleport unifies identity across humans, machines, workloads, and AI agents — replacing fragmented, credential-based access with a hardware-rooted, cryptographic identity layer that scales zero trust across cloud and on-prem environments. You'll work closely with Field Marketing, Partner, Demand Gen, and the Account Executives who carry your accounts to build presence and pipeline in a single city, pairing multi-channel outbound with a heavy in-person motion across meetups, conferences, partner activations, and Teleport-hosted events. Instead of a sequence and a dial target, you'll be given a fixed book, a territory budget, an events calendar, a warm-path map, and the latitude to decide how all of it gets used. This role is ideal for a self-directed relationship builder who wants to become a field seller — someone who treats a city as a territory to be earned rather than a list to be worked. Expect to be in the field regularly, typically a couple of evenings a week and more during conference weeks. Reaching people has never been easier; earning their trust has never been harder. That harder part is the job, and it happens face to face. WHAT YOU'LL DO: - Own and quarterback the development of a fixed book of named enterprise and mid-market accounts in your metro, in partnership with the AEs who carry them - Build and defend a point of view on each account: who the buying committee is, what they care about, where the entry point is, and what the next three touches should be - Show up. Attend and work the meetups, happy hours, conferences, partner events, and Teleport-hosted events in your territory. Become a known face in your city's infrastructure and security community - Create reasons to engage that aren't a meeting request — event invitations, gifting, relevant third-party content, community connections, local activations - Map warm paths into your accounts using our customer, alumni, and employee networks, and drive the referral ask to completion, including directing the AE on when and how to make it - Run multi-channel outbound (phone, email, LinkedIn) against the buying committee, with real personalization rather than volume - Work with Field Marketing on which events are worth sponsoring in your metro, and with our Partner team on co-marketing opportunities that reach your 50 - Convert in-person contact into structured next steps: AE meetings, executive conversations, technical deep dives - Log every touch in Salesforce and Outreach so account progression is visible and creditable - Present a monthly account review: what you've done across the 50, what worked, what you're doing next, and where you need air support - Use our intent, buying-committee, and enrichment tooling — including AI-assisted research and account planning — to decide where to spend your week WHAT WE'RE LOOKING FOR: - Based in your metro. You live in New York City and can be in the field on short notice. This role is not remote-anywhere - Experienced: 3+ years in a role where you built relationships and pipeline in a defined territory. That could be account development against enterprise or mid-market named accounts, field or event marketing, community or developer relations, partner development, or field sales. What matters is that you've worked named accounts rather than lists, and that you've done it with real people in real rooms - A field animal: You would rather be at a happy hour with forty engineers than on your ninth call of the morning. You are comfortable walking into a room where you know nobody and leaving with three conversations worth following up - Self-directed: You are given a goal and a budget, not a playbook. You decide what to build. You bring ideas rather than waiting for a program - Technically curious: You can hold a credible conversation with platform, infrastructure, and security engineers about the problems they have. You don't need to be an engineer; you do need to be genuinely interested - Relationship-first: You measure your work in trust built, not touches logged — while still logging the touches - Tool-fluent: You are fast with modern GTM tooling and AI assistants, and you'd rather build your own leverage than file a request - Ambitious: You want to be a field seller. This role is the on-ramp Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: San Francisco, CA 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 research runs on more than research alone. Behind every model launch, review, and cross-team program is a web of decisions, priorities, and follow-through that keeps hundreds of researchers moving in the same direction. Research Operations owns that work: we bring clarity to ambiguity, provide stability during change, and continually deepen our domain knowledge so that researchers can spend their time on the problems only they can solve. It is one of the highest-leverage functions at Anthropic. We are hiring an experienced operator to embed with the leadership of our reinforcement learning (RL) organization, the team responsible for training Claude to be more capable, more reliable, and more aligned. You will shape what leadership spends its time on, make sure priority decisions reach the right decision-makers and get made quickly, and clear the path so leaders can focus on the work that matters most. You will report to the Manager of Research Operations and work daily with RL org leaders and their teams. Key responsibilities Own leadership's time. Shape the week around the leaders' specific, most timely priorities, set agendas so meetings are spent on decisions that move the org forward, and cut what isn't critical so leaders stay focused on the areas that are highest-leverage for them. Triage what reaches leadership. Resolve what you can, route what belongs elsewhere, and thoughtfully escalate the rest. Enable wise decision-making and follow through. Give leaders what they need to decide quickly, communicate those decisions to collaborators, and track commitments through to completion. See problems coming. Surface resourcing gaps, technical bottlenecks, and stalled action-items before they become blockers. Scale leadership voice. Meetings are ephemeral; docs are forever. Draft materials for org-wide announcements, programming, and planning sessions. Protect leadership’s time for creating durable comms that set direction in turbulent times. Make the org run better. Find the friction that keeps recurring and find the people who can fix the process behind it. Be a thought partner. Offer honest, candid counsel to leaders, including crisp and kind disagreement. Minimum qualifications Care deeply about Anthropic's mission and let it underpin all judgment calls you make across the org. Technical fluency to engage substantively with researchers: you can follow a discussion about an RL training run, read a set of eval results and form reasonable hypotheses about what they mean, and hold your own in a technical conversation. You don't need to have trained a model yourself, but you should understand the model training process and have the depth to work closely with leading researchers. Clear writing: you turn dense, jargon-heavy material into summaries and plans that technical collaborators across the RL org and beyond can act on An eye for great dashboards: you can look at data visualizations and scope improvements that make lessons at-a-glance clearer and grounded. Strong follow-through and attention to detail; nothing falls through the cracks on your watch. Ability to push back on senior stakeholders to offer strategic guidance as needed, disagree without causing discord, and influence without direct authority. Comfort with ambiguity and a fast-changing environment; you stay steady when the pace is relentless and the stakes are as high as they can possibly be. Experience in an operations, chief of staff, program management, or comparable role supporting senior leaders in a fast-moving technical organization High integrity. This role sits close to decisions that execute on Anthropic’s mission, and you care about getting them right. Preferred qualifications Experience supporting a senior leader directly in a chief of staff or related function Time in a research institution, lab, or other research-heavy organization Track record of anticipating what colleagues and leaders will need and acting on it before being asked Comfort in an environment where the right answer changes hour to hour Experience moving routine operational work to AI agents, or the ability to script and build small tools Familiarity with AI safety or other existential risks. 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: $210,000 — $260,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: SF or Remote (US/Canada) At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE As Senior Engineering Manager for Agent Platform & UX, you will lead two teams reimagining Render's onboarding and activation experience for both humans and AI agents. One team owns the experience a person sees the first time they come to Render: signup, onboarding, activation, and what drives them to adopt more of the platform. The other team builds the equivalent experience for agents, which reach Render through APIs rather than the UI, integrating with providers like Codex, Claude, and Cursor so agents can use Render the way humans do. You'll take an already-forming org through its next stage of growth. WHAT YOU'LL DO - Lead and grow two teams, UX (human onboarding and activation) and Agent Platform (the equivalent experience for agents via programmatic interfaces like the MCP, CLI, API, SDK, and Blueprints) - Own the roadmap for Render's self-serve user journey, from first touch through activation, initial monetization, usage expansion, new feature adoption, and PQL graduation - Drive the agent-facing side of the platform: build the API-driven experience that lets agents integrate with and operate on Render - Partner with the dedicated product and design partners on both teams to align roadmap with customer, growth, and platform needs - Hire and develop engineers to support planned team growth, while keeping both teams' identities and focus areas clear as they scale - Make key architectural and product decisions, balancing long-term platform investment against iterative improvements to onboarding and activation - Build a strong performance management and career development practice for a team that already includes senior ICs WHAT WE'RE LOOKING FOR - Strong people leadership - the top priority for this role - Hands-on enough to review code, prototype, and contribute directly when it helps the team - Comfort operating in ambiguity, with adaptability and a growth mindset - Proven experience building and scaling more than one team, ideally growing a group from a handful of engineers into a larger org - Experience managing and developing senior (IC5+) engineers, including hiring and performance management - Ability to partner closely with product and design without needing to fill those functions yourself - Strong product instincts, with the ability to connect engineering investment to growth and activation outcomes - Background from either a startup or a larger company is fine. What matters is experience and ability to operate in a fast-paced environment NICE-TO-HAVES - Prior growth-focused engineering experience (onboarding, activation, funnel optimization) - Experience building developer- or agent-facing product experiences, and integrating with AI coding tools such as Codex, Claude, or Cursor - Background in developer platforms or DevTools - Experience helping a team split or reorganize as it scales into multiple teams If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry provides developer-first observability to over 4 million developers worldwide. The Events Analytics Platform (EAP) team is at the heart of that mission: it powers how all of Sentry's event data, such as errors, transactions, spans, profiles, replays, and metrics, is stored, queried, and analyzed. It also powers Sentry's latest AI push, Seer. The EAP team makes it possible for developers to efficiently search and debug across massive volumes of data, providing the context needed to understand and fix issues quickly. This team is also a cornerstone of Sentry's long-term strategy to become a context assembly and telemetry platform that unifies different signals so developers can see the complete picture. As an engineering manager on the EAP team, you will lead a group of engineers building and scaling one of Sentry's most critical data platforms. You will be responsible for driving architectural evolution, ensuring system stability, and mentoring a talented team. This is a highly visible leadership role with direct ties to Sentry's long-term product and platform strategy. WHAT YOU'LL DO - Grow and develop a team of engineers with high expectations for ownership and impact - Set the technical and strategic direction for the team, balancing short-term stability with long-term architectural evolution - Drive development of core EAP features, including support for complex analytical queries, dynamic routing logic across fidelity levels, storage and compute separation, and modern patterns for analytical storage - Ensure EAP can support the workload demands of AI agents and MCP servers that unlock new AI capabilities for Sentry - Guide the unification of all event data into EAP and enable fast, complex cross-event querying at scale - Partner closely with cross-functional teams including Product Engineering, Streaming, Production Engineering, Security, and Compliance - Lead the team through incidents, postmortems, and scaling challenges while fostering operational excellence - Build a healthy and collaborative team culture rooted in growth, accountability, and inclusion YOU'LL LOVE THIS JOB IF YOU - Enjoy mentoring and developing engineers, especially helping junior engineers grow into senior roles - Get excited by designing and running large-scale distributed data systems where performance and reliability matter - Are passionate about tackling the challenges of continuously scaling as Sentry's traffic grows - Like tackling complex querying and storage challenges at massive scale - Thrive on cross-functional collaboration with product and infrastructure teams - Want to work on a highly strategic team with significant visibility that shapes the future of Sentry's platform QUALIFICATIONS - 10+ years of industry experience in software engineering, including 4+ years of people management experience with career development and performance management - Strong technical background in data platforms, storage systems, or analytical backends (for example, ClickHouse, Pinot, or Druid) - Experience with distributed systems, query optimization, or scaling data-intensive workloads - Excellent communication skills with the ability to clearly articulate technical concepts to diverse audiences - Proficiency with Python, Rust, or a similar programming language is a plus - Familiarity with observability, developer tools, or event-driven systems is a plus The base salary range that Sentry reasonably expects to pay for this position is $220,000 to $400,000 USD, plus an annual performance bonus of up to 15% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: San Francisco; New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you’ll be working on Modal’s machines layer: the fleet of bare-metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them. You’ll automate the integration of new capacity from a growing set of hardware providers, from auditing and benchmarking hosts and clusters to maintaining our machine images, configuring GPUs, RDMA, networking, and storage, and getting machines into production. You’ll build the automation that keeps the fleet healthy without human intervention: detecting bad GPUs, thermals, and disks. You’ll dig into whatever is between the hardware and the software that runs on top of it, whether that is a kernel panic, a broadcast storm during boot, or getting our container runtime to run on new architectures and platforms. WHAT YOU'LL WORK ON: - Automate remediation of unhealthy machines (power cycling, reimaging, GPU recovery) to maximize uptime and minimize operator toil - Automate integration of new CPU, GPU, and storage servers into the fleet while managing hardware and network heterogeneity - Monitor network health and reliability across many datacenters, and standardize bare-metal network configuration - Automate hardware acceptance testing and benchmarking (CPU, disk, GPU, interconnect, network) - Build our custom network bootloader, machine image pipeline, and kernel and firmware management across the fleet YOU MAY BE A FIT IF: - You have 5+ years of experience writing high-quality production code - You’ve operated fleets of physical hardware (bare-metal provisioning, BMC/IPMI, PXE or network boot, firmware) or built the control planes that manage them (the more challenges you’ve worked through, the better) - You have strong cloud skills - You have strong knowledge of low-level operating system foundations (Linux kernel, drivers, networking, file systems, containers, etc.) - You’re effective at debugging across layers, from BGP flapping, Linux RPS, and vBIOS bugs to a Python control-plane service - You’re willing to step into the thick of it with our on-call rotation and respond to production incidents NICE-TO-HAVES: - Experience with GPUs and the NVIDIA software stack in production (drivers, health monitoring, XIDs, RDMA/NVLink) - Prior experience with Go

Location: Stockholm; New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you’ll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You’ll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You’ll own durability and cost at petabyte scale, from streaming and batch replication between origins to garbage collection over billions of objects. You’ll work across the stack, from local disk and page cache to distributed blob storage and garbage collection, and you’ll help shape what storage becomes next as we push storage closer to workloads. WHAT YOU’LL WORK ON: - Build P2P sharing of data across workers within a single datacenter to dramatically reduce ingress - Replicate data across multiple blob storage providers - Automate garbage collection across hundreds of petabytes of data - Deploy colocated storage clusters to datacenters to accelerate high-throughput customer workloads YOU MAY BE A FIT IF: - You have 5+ years of experience writing high-quality production code - You’ve built high-performance distributed storage or caching systems at a large scale (the more challenges you’ve worked through, the better) - You have strong cloud skills, including deep familiarity with object storage (S3 or similar), CDNs, and their consistency, throughput, and cost characteristics - You have strong knowledge of low-level operating system foundations (Linux kernel, file systems, page cache, containers, etc.) - You’re willing to step into the thick of it with our on-call rotation and respond to production incidents NICE-TO-HAVE: - Experience with replication, content addressing, and consistency models in multi-region or multi-cloud systems - Experience operating storage systems at scale (petabyte-scale datasets, high-throughput read/write paths, large-scale garbage collection or data migration) - Experience with data engineering at petabyte scale - Prior experience with Rust

Location: Poland Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For: We are expanding our AI & No-Code Transformation team and looking for an AI Associate with a strong technical foundation and hands-on experience with AI, business process automation, and modern technologies. In this role, you will work alongside AI Consultants and technical teams to turn business scenarios and solution requirements into working AI-powered solutions on the Creatio platform. You will configure AI agents, automate workflows, customize applications, work with integrations, and bring real-world AI use cases to life. The role is based in Poland. Responsibilities: Translate solution requirements and business scenarios into working AI-powered solutions on the Creatio platform; Configure and customize AI agents for real-world business use cases; Design and configure AI-powered workflows connecting people, AI agents, business data, knowledge sources, and automated processes; Build and customize business processes, workflows, business rules, UI elements, dashboards, and other application components using no-code/low-code tools; Integrate AI agents and Creatio applications with external systems and services using APIs and other integration capabilities; Configure how AI agents interact with business data, knowledge sources, workflows, and external services; Test AI-powered solutions across different scenarios, identify gaps and edge cases, troubleshoot issues, and improve solution reliability; Prepare and maintain technical documentation and reusable solution configurations; Collaborate with AI Consultants and other technical teams throughout solution design and implementation; Requirements: 1+ year of relevant hands-on experience in software engineering, application development, automation, AI solutions, technical implementation, or a similar technical field; Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Engineering, or another relevant technical field; Hands-on experience building or configuring solutions with Generative AI, LLMs, or AI agents through professional work, internships, academic projects, or personal projects; Familiarity with APIs, system integrations, and data exchange principles; Knowledge of business processes, workflows, and process automation; Previous experience working with systems such as CRM, ERP, marketing automation, accounting systems, workflow systems, or other business applications; Strong technical and analytical thinking, with the ability to understand system logic, dependencies, and data flows; Ability to understand structured requirements and translate them into working technical configurations; Self-organization, attention to detail, intellectual curiosity, and a strong interest in AI and emerging technologies; Experience with no-code/low-code or business automation platforms will be an advantage; Knowledge of BPMN will be an advantage; Upper-intermediate or higher level of English. What you should expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Croatia (Hrvatska) Who we are We are a global wealth-tech company powering the next generation of trading. We deliver cutting-edge centralised trading solutions and robust B2B financial infrastructure. Our proprietary trading platform offers clients seamless access to stocks, ETFs, bonds, futures, options, swaps, funds, and currency pairs- all within a single, multi-currency account. We believe in the boundless flow of capital and information. Whilst developing EXANTE, we saw technology as a means to improve global connectivity of the financial services industry. Over the years, we have earned a reputation for providing superior service and for getting the results our clients and customers want. Most importantly, people have come to know us for our technological insights and focus on privacy. Our inspiration stems from the talent and ambition of our clients. We are offering an ecosystem of financial products and services that would provide the most tailored assistance to traders. Our culture Everything at EXANTE starts with our people. We bring together almost 800 minds across 70 locations. We place trust in our team with real autonomy - the freedom to drive change across products, processes and everything in between. That trust fuels innovation, and the demands of the markets build resilience; we adapt, push forward, and we look after each other while we do it. That freedom is matched by real investment in growth: we back our people with ongoing learning, hands-on development and the kind of stretch opportunities that turn good careers into great ones. About the role We are seeking an analytical and detail-oriented Risk Analyst to join our Risk Management team. This role involves developing and applying mathematical models and statistical techniques to assess and manage financial risks. Reporting line: Head of Risk Worksite: Remote Responsibilities: Proactive daily monitoring and evaluation of risk metrics across all product areas and provide regular reporting on key risk indicators (KRIs), and ensuring alignment with business objectives. Collaborate on project management and new process set-up for risk related processes, including specifying requirements for future IT development, automation, and control enhancement. Collaborate with relationship managers, trade desk, business operations teams and compliance teams to integrate risk considerations into business decisions, including contributing to the education of these teams with regards to risk management. Develop, implement, document, and maintain risk models (e.g., margin/leverage models, VaR, stress testing, scenario analysis). Analyze and interpret large data sets to identify trends, correlations, and risk exposures. Validate existing models and perform back-testing to ensure accuracy and reliability. Conduct ad hoc analysis for risk events, client requests and emerging market conditions. Conduct counterparty side credit risk analysis and develop credit risk framework. Monitor of industry trends and practices to ensure timely implementation of new requirements and best practices, particularly concerning margin requirements and models. Requirements: Bachelor’s or Master’s degree in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Physics, Computer Science, Economics, or a related field. Minimum 1-3 years of experience in quantitative risk analysis or related roles within financial services. Coding experience in Python, Matlab, R or similar languages. Good knowledge of statistical techniques, VaR, time series analysis, and stress testing approaches. Familiarity with financial products (e.g., derivatives, fixed income, equities). Experience with risk systems and data platforms (e.g., Bloomberg, RiskMetrics, SAS, SQL). Strong analytical and problem-solving skills. Excellent communication skills (both written and verbal). High attention to detail and a commitment to accuracy. What we offer: Competitive salary that reflects your experience and the value you bring. Flexibility that fits your life — work from home, from our office, or a mix of both. You decide what works best. Flexible benefits package — choose the options that suit your life, not a one-size-fits-all bundle. A genuinely good place to work — an informal, collaborative culture where ideas are heard and bureaucracy stays out of your way. Continuous learning — ongoing training, education programs, and the support to deepen your expertise in a fast-moving industry. Connection beyond your desk — events that bring our teams together to network and celebrate. Global exposure — work side by side with talented colleagues from all over the world, across a business serving clients in 100+ countries. EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://exante.eu/gdpr/. We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to keep it longer to comply with law or you consent to a longer retention. Where personal data is transferred outside the EEA, it will be protected to a standard at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. This website is not intended for individuals under 18 and we do not knowingly collect data relating to children.

Location: San Francisco, CA 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 Design at Anthropic sits at the intersection of craft, research, and product intuition. Design systems is a growing team working on products that millions of people use daily, and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We care deeply about the details that make something feel polished, trustworthy and human. We ship fast and learn in the open. We'd rather get something in front of users and iterate than wait for perfection. The Design Systems team exists to define and elevate the language of our UI and core interactions. Every Claude product, from claude.ai to Claude Code, shares one system, including the guidance Claude itself follows when it generates UI. You would be joining an early-stage team, working with design engineers and product designers across the company. You may be a good fit if you: Are as comfortable designing on canvas tools as you are building and prototyping within the product, and prefer to ship in days, not months. Have worked on design systems that balance simplicity with creative flair to produce beautiful products out of the box. Care about the smallest details as much as the big picture, from a pixel to how the whole app fits together. Make the people around you better through sharp, kind feedback and low ego. Get up to speed quickly and can make an impact on projects already in motion. Key responsibilities Design and evolve the system, from foundations (colour, type, spacing, icons, tokens, theming) to components like menus, dialogs, sidebars and the chat composer. Design the expressive layer as a system, not one-offs: motion, illustration and icons that are brand and system at once. Make the system legible to Claude as well as people: the guidance, metadata and evals that show whether Claude uses it correctly. Partner with product teams: help designers and engineers apply the system well, and feed recurring gaps back into the system. Prototype in code and ship: land changes in the design-system package alongside engineers, using Claude Code in your own practice. Minimum qualifications Strong visual and interaction craft. Experience building or working on a design system. Experience with design tokens, theming and accessibility standards. Fluency in whichever tool gets an idea across fastest, from Figma to code. Preferred qualifications Experience building products at the highest level of craft. Has shipped voice or other beyond-the-screen work, with native mobile instincts. Has designed an icon set, illustration style or motion system used across products. Experience defining evals, lint rules or automated checks for UI quality. 8+ years of product design experience. 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: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Workplace: Remote The Learning Team at ClickHouse is growing fast as more and more users discover the power of ClickHouse and need to understand how to use it effectively. As part of that growth, we want to expand our certification program. We currently offer credentialed badges for completion of courses and one performance-based ClickHouse Certified Developer exam for those who are subject matter experts. We are looking for someone to take ownership of our certification program, expand our certification exam offerings, and build a community around our ClickHouse certified professionals. RESPONSIBILITIES: - Developing performance-based, hands-on ClickHouse certification exams on ClickHouse use cases like real-time analytics, observability and data warehousing - Working with company SME's to create job task analyses for exams - Grading and maintaining all certification exams, including writing grading scripts - Developing quizzes for our course-completion badges - Writing and deploying quizzes for ClickHouse credentials - Establishing a community presence for ClickHouse certified professionals using popular social media outlets and also while attending ClickHouse user conferences and Meetups - Tracking and reporting on the metrics and KPIs of the certification program - Working with the certification and badging vendors to ensure proper delivery of the exams and badges - Handling customer support from learners interested in obtaining our certifications - Traveling occasionally to Meetups and conferences to promote ClickHouse to the community REQUIREMENTS: - A self-motivated attitude that provides you with the desire and determination to complete projects in a fast-paced startup environment - Proven experience developing certification exams and quizzes for a highly technical audience like software engineers and database developers - Experience with SQL - Technical breadth and depth in relevant subjects such as DBMS, OLAP, Cloud/SaaS platforms, distributed systems software engineering, and big data - You have a high level of responsibility, ownership, and accountability - Ability to learn new technologies quickly and effectively - Excellent communication skills BONUS POINTS: - 5+ years of experience in certification in the technical software industry - Experience with curriculum development or instruction for databases and/or distributed systems - Experience with ClickHouse database - Experience with one or more Cloud Service Providers such as AWS, GCP, Azure - Experience building software certification exams - Ability to work cross-functionally amongst engineering, support, product and development teams - Technical degree (e.g. Computer Science or related field) YOU'LL LOVE THIS ROLE IF: - You thrive in a customer-facing role, collaborating closely with Engineering, Marketing and Sales teams - You are self-driven, curious, and eager to continuously learn and grow - You possess a mindset of teamwork, global engagement, empathy, and a drive for solving challenging problems - You have a sense of adventure and urgency in building the most scalable, highest performing, largest, and fastest databases in the world PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.