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Location: Tokyo, Japan 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 The IT Operations team keeps Anthropic running — we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment. Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes (including with Claude), and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time. Responsibilities End-User Support Triage and resolve issues across hardware, software, networking, and accounts — primarily through our ticketing system, with additional support via Slack and in-person Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) Handle escalations requiring cross-team coordination Participate in an on-call rotation for urgent issues outside business hours Provide hands-on support for user technology, AV systems, conference rooms, and printers Communication & Documentation Communicate clearly with users of all technical levels Write and maintain internal documentation including runbooks, how-to guides, and knowledge base articles Identify patterns in support requests, surface recurring issues to the team, and identify opportunities for automation or systemic solves Operational Improvement Help streamline onboarding and other high-volume operations as the company scales Contribute to automation efforts Maintain and improve device management, identity, and access systems Assist with scripting (Bash, Python) to automate repetitive tasks You may be a good fit if you Have 7+ years of hands-on IT support experience, ideally in a fast-paced or high-growth environment Are an excellent communicator who genuinely enjoys helping people solve problems Have strong troubleshooting skills and are methodical, curious, and persistent Demonstrated supporting macOS endpoints and comfortable supporting ChromeOS, iOS, and Android Have significant experience with Google Workspace administration Have experience with Slack administration — workspace management, permissions, and troubleshooting Have substantial experience supporting and administering additional SaaS tools Understand identity and access fundamentals — SSO, MFA, directory services Are familiar with MDM fundamentals and endpoint management concepts Have experience with basic scripting (Bash or Python) for automation Take ownership of problems and follow through until they're resolved Think beyond the immediate fix — you ask "why did this happen?" and "how do we prevent it?" Are organized enough to manage competing priorities without things falling through the cracks Propose solutions when you see a process that doesn't scale Are looking to develop deeper technical skills and take on more complex systems administration challenges over time Strong candidates may also Be familiar with zero-trust security concepts and endpoint security tooling Have experience with networking basics — DNS, DHCP, VPNs, networking fundamentals Have contributed to IT projects beyond day-to-day support (migrations, tool rollouts, process redesigns) Have experience using AI tools to improve personal or team productivity Location This role is based in Tokyo, Japan and there is a 4 day/week in office expectation. What Makes This Role Unique You'll be joining a high-impact IT team supporting some of the world's leading AI researchers and engineers. The pace is fast and you'll have real ownership over your work. This isn't a role where you follow rigid scripts — you'll be trusted to use your judgment, improve our processes, and grow with the team. Because we're scaling rapidly, you'll have meaningful opportunities to shape how IT operations work at Anthropic. Deadline to apply: None. Applications will be received on a rolling basis. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Doha, Qatar NetWitness provides advanced threat detection, investigation, and response capabilities that help organizations detect sophisticated threats, investigate incidents, and protect critical IT and OT environments. Job Summary We are seeking a highly skilled Senior Cybersecurity & Operational Technology Specialist to join the NetWitness team and support customers in Qatar and the broader region. This role requires the ability to work in Qatar and provide onsite support to customers as needed, including complex investigations, cybersecurity assessments, consulting engagements and incident response. The role will also support the sales team as a senior technical advisor, helping customers understand NetWitness technologies and services, define requirements, scope engagements and develop technical solutions and proposals. Key Responsibilities Partner with local sales teams to develop technical solutions, proposals and customer engagement plans Lead comprehensive reviews of customer cybersecurity posture across IT and OT environments. Evaluate customer environments to identify vulnerabilities, security gaps, and opportunities to improve cyber resilience. Translate assessment findings into actionable improvement plans, helping customers mature their security defenses. Design and implement secure OT network architectures using segmentation, zero-trust principles, and industry recognized models such as the Purdue Model. Conduct detailed cybersecurity assessments and threat modeling on physical industrial control systems (ICS), SCADA and other OT environments. Develop and execute specialized OT incident response playbooks that prioritize process safety and plant availability. Assist with aligning environments with recognized cybersecurity frameworks, including IEC 62443 and NIST SP 800-82. Develop and maintain OT risk assessments and translate technical findings into actionable risk priorities for customers executive stakeholders. As part of the job, the resource will deliver cybersecurity consulting services both remotely and in-person. Deliver proactive services including compromise assessments, gap analysis, threat hunting, incident readiness reviews and customer training. Conduct digital forensics investigations on endpoints, networks, memory, OT and cloud environments using industry standard tools. Lead incident response engagements, including triage, malware analysis, threat hunting, and root cause determination. Develop forensic reports, timelines, and executive summaries for customers and stakeholders. Develop or customize tools and scripts to improve investigation process. Collaborate with cross-functional teams to mitigate threats and recommend remediation strategies. Provide onsite support to customers in Qatar on short notice and travel regionally or internationally for customer engagements and incident response as required. Mentor junior analysts and contribute to team knowledge-sharing initiatives. Requirements 7+years of cybersecurity experience and significant hands-on experience in digital forensics and incident response. Demonstrated hands-on experience securing or assessing OT/ICS environments, including industrial networks, segmentation, incident response, and security architecture. Strong working knowledge of OT cybersecurity frameworks and standards, including IEC 62443 and NIST SP 800-82. Strong executive-level and customer-facing communication skills, with the ability to translate complex technical findings into business and operational risk. Relevant cybersecurity certifications such as GCFA, GCFE, GCIH, GNFA, GREM, CISSP, CISA, OSCP, or equivalent are strongly preferred. Fluency in English and Arabic (spoken and written). Must currently reside in Qatar or can legally work in Qatar and provide onsite customer support as required.

Location: Ukraine; Poland; Spain; Portugal; Germany; Romania At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Engineering Manager, Applied AI & Machine Learning Engineering to join us as part of our team. About Role PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. As an Engineering Manager, AI/ML, you will support a cross-functional team of MLE and MLOps engineers working across several AI/ML initiatives. Your primary focus will be resource planning, execution, and people management. You will work closely with project leads, technical leads, functional managers, and product partners to ensure projects are appropriately staffed, plans are realistic, risks are visible, and teams can deliver effectively. You will manage capacity and resource allocation across multiple projects, help coordinate dependencies and priorities, and provide stakeholders with a clear view of delivery progress. Project and technical leads will continue to own product direction and technical decisions. You will also support the career growth and performance of team members. This includes gathering feedback, coaching employees, creating development plans, and contributing to performance, promotion, and compensation reviews. You should have enough AI/ML experience to understand the work, communicate effectively with engineers, and identify technical delivery risks. However, this is not expected to be a hands-on engineering or architecture role. Our Tech Stack & Focus Areas Generative AI & LLMs: Develop and maintain LLM-based solutions for generative features. Classic ML Models: Develop and maintain predictive and classification models for financial data Vector Databases: Implementing efficient storage and retrieval systems for high-dimensional data embeddings. Embeddings: Developing hybrid models to extract insights from diverse data sources. High-Volume Data Management: Engineering systems capable of handling massive, real-time data streams. Work Environment Flexible schedule with participation in team ceremonies and cross-functional collaboration. Time zone: Europe/Kyiv. As a qualified expert, You will: Manage resource allocation and capacity planning across multiple AI/ML projects and operational commitments Partner with project and technical leads to create realistic delivery plans, milestones, and staffing models Maintain a clear view of project progress, dependencies, risks, and resource constraints Help resolve delivery blockers, priority conflicts, and cross-team dependencies Facilitate quarterly and ongoing planning across MLEs and MLOps teams Provide clear delivery and staffing updates to functional managers and other stakeholders Manage and coach engineers through regular one-to-one meetings and career discussions Gather and synthesize feedback from project leads, technical leads, and cross-functional partners Create development plans and support performance, promotion, and compensation review processes Identify team capability gaps and contribute to hiring, onboarding, retention, and workforce planning Foster an inclusive, collaborative, and high-performing team environment Apply Agile, Lean, and Fast-Flow practices to improve team effectiveness and delivery predictability We’re looking for you if you have At least three years of experience in software engineering, AI/ML, or a related field At least three years of experience in people management, engineering management, or technical program leadership Working knowledge of AI/ML modeling, systems and the development lifecycle Experience managing multiple technical projects with shared resources and cross-team dependencies Strong skills in capacity planning, resource allocation, project execution, risk management, and stakeholder communication Experience supporting the performance and career development of technical employees Ability to understand technical discussions and work effectively with MLE and MLOps teams Experience working with distributed or geographically dispersed teams English — Upper Intermediate or higher; Ukrainian — fluent Bonus points Experience managing or supporting MLE and MLOps teams Experience working in a matrix organization with separate people, project, product, and technical leadership roles Experience with planning or allocating engineers across multiple projects Familiarity with production ML, generative AI, semantic search, summarization, prediction, or similar capabilities Familiarity with technologies such as Kubernetes, Docker, Kafka, Airflow, Snowflake, and cloud platforms Experience conducting performance reviews and building employee development plans Experience working with staffing partners, contractors, or blended internal and external teams Experience in fintech, SaaS, market data, or another data-intensive industry What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview Steps: Interview with the recruiter Codebase review Interview System design Interview Cross-functional execution case Interview Final сlient Interview

Location: Amman, Jordan The Business Operations Coordinator provides operational and commercial support throughout the customer lifecycle by coordinating collections, commercial documentation, bank guarantees, performance bonds, invoicing readiness, and customer-related administrative activities. The role works closely with Business Development, Operations, Project Management, Accounting, customers, and banking institutions to ensure efficient execution of commercial processes, timely collections, and compliance with contractual obligations. Responsibilities Monitor customer payment schedules and follow up on outstanding receivables to ensure timely collections. Coordinate with customers regarding invoices, payment status, purchase orders, and payment-related documentation. Collaborate with Accounting to reconcile customer payments and resolve billing discrepancies. Prepare aging reports and escalate collection risks when necessary. Coordinate with Business Development, Operations, Project Managers and Accounting to ensure contractual milestones are achieved and all requirements for invoicing and collections are met. Prepare commercial reports and dashboards covering collections, outstanding receivables, bank guarantees, contractual commitments, and other operational KPIs. Ensure compliance with internal policies, contractual obligations, and company procedures while maintaining a high level of confidentiality. Establish collection action plans for overdue accounts. Investigate reasons for delayed or withheld payments and, accordingly, identify recurring causes of payment delays. Proactively flag discrepancies or delays between contractual milestones, invoicing, and collections to the relevant Project Manager, Accounting contact, or Account Manager before they escalate. Requirements Bachelor's degree in Business Administration, Finance, Accounting, Banking, Economics, or a related field. 1-3 years of relevant experience in business operations, commercial support, finance operations, collections, contract administration, or a similar role. Experience in the software, technology, or fintech industry is preferred. Experience coordinating across cross-functional teams (e.g., project delivery, finance, and sales/account management) in a B2B or project-based environment. Experience in customer collections and accounts receivable processes, purchase orders, and invoicing processes. Experience with commercial contracts, documentation, bank guarantees, and performance bonds. Proficiency in Microsoft Office applications, particularly Excel, with ERP and CRM systems as an advantage. Excellent organizational and coordination skills, with the ability to manage multiple priorities and deadlines. Strong communication, interpersonal, negotiation, and follow-up abilities. High attention to detail and accuracy, combined with strong analytical and reporting skills. Customer-focused with strong problem-solving capabilities. Proficiency in written and verbal communication in the Arabic and English language.

Location: Yerevan, Armenia Description: Digitain is looking for a Senior Project Manager who will be responsible for planning, leading, organizing, and motivating Agile and Hybrid Project and/or Product Teams. The successful candidate should demonstrate the ability to manage multiple concurrent projects in a fast-paced environment across multiple business units. Responsibilities: Define project scope and schedule/delivery timeline while focusing on regular, incremental, and timely delivery, both short-term and long-term (including roadmaps) Organize and lead project/product status update meetings (including but not limited to framework ceremonies) generating and maintaining sufficient project, team, and company-level records & institutional memory Prepare and distribute progress reports (in and out of regular delivery periods) Manage risks and issues within the team and across different business units Correct deviations from plans, re-plan, and re-define if and when required Perform forward delivery planning for assigned projects/products Assist in team development while holding teams accountable for their commitments, removing blockers to their work Leverage organizational resources to improve capacity for project/product work Mentor and develop team members, and manage efficiency by providing clarity, predictability, and transparency in day-to-day project management Be aligned and closely collaborate with the Product Owner/Product Manager in managing customer/client expectations for project/product deliverables, managing stakeholder communications (internal & external), and helping to implement an effective system of project governance Assist in defining and managing a well-defined project management process and lead ongoing process improvement initiatives to implement best practices for Agile Project Management Promote team empowerment, ensure that each team member is fully engaged in the project and making a meaningful contribution, and encourage a sustainable pace with high levels of quality for the team and value for the company Requirements: Proven understanding of software development life-cycle models as well as expert/in-depth knowledge of both Agile and traditional project management principles/practices and the ability to blend them together in the right proportions to fit a project and business environment A proven track record of successfully implementing software or web development projects using Agile methodologies including (ideally) 4+ years of experience as a Project Manager managing large, complex projects in a high-tech development environment with multi-function teams Prior experience with Lean/Agile methodologies with enterprise-level software development projects Experience overseeing multi-function project/product teams with at least 10-15 team members including Developers, Product Owners, Business Analysts, and QA Engineers Balanced business/technical background BA or BS or equivalent experience is required; MA or MS is a plus Very effective interpersonal skills including mentoring, coaching, collaborating, and team building Strong analytical, planning, and organizational skills with an ability to manage competing demands In-depth knowledge and understanding of business needs with the ability to establish/maintain a high level of trust and confidence from internal and external stakeholders Proven ability to lead software development projects and ensure objectives, goals, and commitments are met Solid understanding of and demonstrated experience in using appropriate tools (Jira or equivalent, Microsoft Project, Visio, and all Office Tools) Excellent oral and written communications skills and experience interacting with both business, technical and IT individuals at all levels including the executive level Creative approach to problem-solving with the ability to focus on details while maintaining the “big picture” view

Location: Strava SF; Strava New York Workplace: Hybrid ABOUT STRAVA Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. About This Role Strava's Retention team is responsible for reinforcing ongoing subscription value, from renewal to feature adoption, through lifecycle marketing and experimentation. As Product's GTM velocity has grown, so has the need for a dedicated bridge between Product Marketing (PMM) and Lifecycle Marketing, so that new launches can be supported by one-off activations, as well as integrated into lifecycle programs. This role owns that bridge. You'll represent Retention across GTM alignment forums with PMM, MarTech, and Data, translating GTM briefs into scoped plans, targetable audiences, and experiment designs, and project managing each launch from creative handover through post-campaign analysis. You'll partner closely with individual lifecycle marketers to route GTM opportunities into existing lifecycle programs where it makes sense, and to build new, repeatable ones where it doesn't. You're the first dedicated hire in this new pod, so you'll be hands-on from day one: running launches end to end, building them yourself in our martech stack, and shaping the first working version of the playbook as you go. We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco or New York City office, three days per week. What You'll Do: - Represent Retention in ongoing GTM alignment forums across PMM, MarTech, and Data, owning brief intake and early-stage scoping so success metrics are defined before a GTM kicks off. - Drive the GTM channel strategy and experimentation plan end to end: align stakeholders, confirm launch dates and experimentation design, review first-round creative, and manage the project from creative handover through post-campaign analysis. - Translate GTM briefs into targetable audience lists, partnering with MarTech to identify what's available and close data gaps, so PMM can size launches accurately. - Design and run incremental A/B tests on GTM campaigns, defining success metrics and mapping results against PMM's and Retention's learning agendas. - Meet regularly with lifecycle marketers to understand their quarterly goals and surface GTM opportunities in that context, handing off strategic ownership on higher-tier programs to the marketer who owns that history, and owning execution directly on lower-tier tests. - Bridge Product Engineering, PMM, and MarTech tooling (Iterable, Braze, Kevel) to enable the right data into comms systems, and build, QA, and launch GTM campaigns in our martech stack. - Apply PMM's tiering structure to run launches consistently, log results against a shared benchmark set so comparing campaigns stops being one-off reporting, and informs how the next launch gets scoped. - Support seasonal and brand-led campaigns (e.g., major marathon upsells, gifting and family plan moments, back-to-school promotions) with owned-channel strategy and execution. What You'll Bring to the Team: - 4-6 years of hands-on experience across growth, lifecycle, or product marketing, with fluency in both worlds: you can shape briefs collaboratively with PMM and connect GTMs into existing lifecycle programs - A track record of designing and running experiments: defining success metrics, structuring fair tests, and translating results into clear recommendations. - Excellent project management skills: you can manage multiple concurrent launches end to end and keep cross-functional partners aligned on timelines and dependencies. - Experience partnering with data or engineering teams to translate marketing briefs into targetable audiences and flag data gaps early. - A builder's mindset: you're motivated by setting something up from scratch and improving it launch over launch. - Hands-on experience building and QAing campaigns in marketing automation or ad-serving platforms (such as Iterable, Braze, or Kevel). - Familiarity with subscription or freemium business models is a plus. How This Role Grows The role is deliberately hands-on to start: you'll be running launches, building them yourself, and finding out what works. As the pod matures, so does the scope — from running each launch yourself to owning the system others run them through. That means codifying how GTMs get executed and measured, turning one-off activations into a repeatable playbook, and holding senior relationships across Product and PMM directly. It's a path we've mapped rather than implied, and part of why we're hiring this role now rather than later. For more information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub.   WHY JOIN US? Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together. Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, 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. California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is reimagining how customers adopt, expand, and realize value from software in an AI-native world. As an Outcomes Architect, you’ll be the build-beside partner who helps customers turn AI ambition into working systems inside Notion. You’ll own workflow adoption, value delivery, and renewal outcomes for a book of named accounts, with a focus on customers that are flat, at-risk, or need a stronger path to measurable impact. You’ll partner closely with Solutions Consultants on account strategy, expansion qualification, and planning, while directly shaping outcomes that strengthen customer partnerships and contribute to predictable revenue. If you’re someone who loves helping customers build workflows that solve real business problems—and you want to work at the intersection of AI, productivity, customer value, and revenue impact—this is the role. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Drive workflow adoption and value realization for a book of named accounts ensuring your customers know how to deliver outcomes with Notion - Contribute directly to NRR with predictable renewal and expansion pipeline and proactive product adoption for your book of business - Partner closely with Solutions Consultants on strategy for expansion and renewal for shared accounts, including owning the commercial opportunity for flat and at-risk renewals - Define and maintain mutual success plans that proactively guide customers through their AI Transformation and demonstrate ROI to executive-level stakeholders with periodic business reviews - Facilitate use-case consultations that guide customers through their continuous Solutions Design and identify new workflow opportunities that drive outcomes and increase value with Notion - Identify opportunities to engage Services for customers with complex or technical implementation needs and partner closely with the Services team throughout delivery to ensure successful outcomes and value delivered - Learn Notion’s product and the broader AI ecosystem inside and out so you can be best suited help customers navigate new ways of working and build durable systems in Notion as the underlying system - Help build and deliver OA programs that generate customer and business outcomes across Notion’s install base SKILLS YOU'LL NEED TO BRING: - 4+ years of experience driving customer adoption, value realization, renewals, or expansion within a B2B software environment - Strong customer-facing discovery instincts, with the ability to understand business problems, map workflows, and translate goals into practical implementation plans - Technical fluency and presence as a trusted advisor—while you won't be building for your customers, you should be capable of co-design, configuring, and troubleshooting Notion workspaces and workflows - Commercial awareness and the ability to partner with account owners on renewal risk, expansion potential, and account strategy - Ability to design and help customers build workflows that drive usage based consumption, connecting adoption patterns to measurable commercial outcomes - Strong program and stakeholder management skills, with the ability to manage success plans, timelines, risks, and customer commitments across a book of accounts - You operate with agency, urgency, and customer empathy, bringing structure to ambiguous problems and helping teams move from ideas to working systems - You’re obsessed with AI, constantly building with the newest tools and learning new ways of working NICE TO HAVES: - Prior experience in customer success, solutions consulting, implementation, technical account management, or post-sales strategy for productivity, collaboration, or workflow software - Experience working with flat, at-risk, or complex renewal accounts and helping customers return to a clear value path - Experience partnering in a shared account ownership model with sales, solutions, support, or implementation teams - Experience designing repeatable customer programs, playbooks, or interventions that improve retention, expansion, and adoption at scale Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated OTE (On-Target Earnings) range is $166,000-$185,000 per year.   By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. As a member of the Production Operations Engineering team within the platform technology group, you will help keep key user experiences on the platform available, resilient and high performing across time zones and critical business periods, while continually enabling our service teams to deliver new and exciting products and technical features. The team is trusted to respond when production services need support, including through rotational on-call, incident response and urgent operational escalations. You will be empowered to define and lead technical initiatives, helping identify and proactively drive improvements in process, technology and production operations supporting millions of users. This Staff individual contributor role carries broad technical ownership: a recognized expert and hands-on system architect whose decisions shape reliable production services across multiple partner teams. The ideal candidate brings deep full-stack engineering and production experience, strong automation instincts, cloud/container operations expertise, incident leadership, and curiosity for using AI-assisted workflows to improve operational quality, release confidence and delivery speed. Responsibilities: Lead application operations and production support for internal and public-facing services in AWS and container environments, with focus on availability, resiliency, scalability, performance and security. Define and evolve production operations architecture, readiness standards and reusable patterns for services/features, including automation, monitoring, runbooks, rollback plans and operational acceptance criteria. Architect and scale tools, scripts and automation frameworks across API/service telemetry, release validation and operational readiness to reduce toil and improve incident response. Establish CI/CD operational gates, production validation practices and governance mechanisms that improve release confidence, scalability and engineering velocity. Advance observability, event correlation and operational metrics using service health signals, automation health, release risk indicators, dashboards and alerts that reduce MTTD and MTTR. Partner with SRE, data services, CI/CD, service engineering, platform hosting, product and business teams to shift reliability left and improve shared ownership of production quality. Lead performance, capacity, infrastructure modernization and cost optimization for services using AWS, Kubernetes, EKS/UKS, autoscaling and related cloud patterns. Use AI-assisted and agentic tools, such as Codex, Claude, Cursor or similar, to accelerate development, operational automation and production-signal analysis. Provide rotational on-call support and improve incident workflows using Slack, JIRA, ServiceNow, BigPanda and related escalation systems; lead RCA and systemic fixes for recurring production issues. Key Qualifications: Staff-level hands-on engineer equally comfortable with software development, systems engineering, production operations and service architecture. System Architect and full-stack engineer who connects customer experience, application behavior, APIs, data flows, infrastructure and operational controls into resilient designs. Proven ability to define operational standards, quality gates, reusable frameworks and governance practices across teams. Independent technical leader who influences cross-functional partners, mentors engineers and drives adoption of scalable practices. Strong systems-thinking and troubleshooting depth across runtime, cloud, Kubernetes/EKS/UKS, network, observability, release and incident layers. Required Skills: Distributed service architecture and operations, Unix/Linux systems internals, networking, TCP/IP, HTTP/HTTPS, DNS, load balancing and API troubleshooting. AWS service operations, including ALB, Route 53, API Gateway, Lambda, RDS, DynamoDB, ElastiCache and Java/API services. Containers and orchestration, including Docker, Kubernetes, EKS/UKS and Fargate. Automation and software development in Python, Go or Java; source control and configuration management using GitHub/Git, Ansible, Chef or similar. Infrastructure as Code and CI/CD using Terraform, CloudFormation, Jenkins, Spinnaker or comparable tooling. Observability, incident management and collaboration tooling such as Datadog, CloudWatch, Splunk, Grafana, BigPanda, Slack, JIRA and ServiceNow. Strong communication skills with the ability to adjust messaging by audience, translate complex technical issues for cross-functional business partners, and articulate both technical detail and customer/business impact. Data reporting, analytics or operational data platforms such as SQL, MySQL, Oracle, Snowflake or big data systems. AI-assisted development or agentic engineering workflow experience using tools such as Codex, Claude, Cursor or similar. Experience: BS degree or equivalent in Computer Science, Software Engineering or related technical area. 10+ years operating and supporting services in production environments at scale. 5+ years AWS Cloud experience deploying, tuning and operating Java/API services. Hands-on incident management experience, including on-call, incident coordination, stakeholder communications, RCA and corrective-action tracking. Payment processing, commerce, entitlement, wallet, fraud or financial systems experience is a plus. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $199,400 — $299,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Los Angeles, USA ML engineers at Riot own the full lifecycle of machine learning in production — from problem framing through model design, deployment, and operation — building systems that serve players at global scale. They work across disciplines with engineers, data scientists, designers, and product teams to turn ML capabilities into player-facing experiences and tools for making great games. The Role As a Principal AI/ML Platform Engineer for League of Legends , you will set ML platform and integration strategy that enables League teams to build, launch, and operate player and developer facing ML experiences. You will build the systems, tooling, and operational standards that enable teams to deploy and operate ML at global scale. Your technical direction will influence product strategy and your work will directly shape how League of Legends evolves player-facing experiences. Your work will span year-plus efforts on League, mentoring and coaching across disciplines. You will report to the Senior ML Engineering Manager within the League of Legends game team. This role is based out of our Los Angeles area headquarters. Responsibilities: Lead AI/ML workflow and MLOps for League of Legends; build automation standards including auto-remediation and self-healing pipelines; drive implementation. Create AI/ML serving architecture that scales to production load for Riot’s player base; design systems requiring minimal operational intervention; drive implementation of proven serving architectures. Build ML feature platforms to scale feature development and processing; solve scale, latency, or reliability constraints in ML data pipelines. Lead AI/ML developer experience that accelerates development; remove workflow bottlenecks and enable new capabilities. Lead AI/ML governance in partnership with compliance experts to ensure regulatory adherence; drive implementation of proven frameworks. Ensure AI/ML platform security in partnership with security teams; drive implementation of proven privacy, security, and cryptography techniques for AI/ML. Create AI/ML pipeline development and deployment standards, coordinating with data engineering on shared MLOps capabilities. Craft AI/ML service development and API standards across product integrations. Drive operational excellence and cost optimization for AI/ML systems across the organization. Run incident management and set response standards for AI/ML systems across production services. Build observability and monitoring standards for AI/ML systems across services. Create tooling strategy and evaluation for AI/ML platforms across the organization. Drive mentorship of senior engineers across multiple products or problem areas; coach developers across disciplines. Drive recruiting standards across multiple products or problem areas; contribute to interview kits and TA efforts. Qualifications: Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. 10+ years of professional software engineering experience, including 5+ years building production ML platforms, systems, or MLOps capabilities. Evidence that platforms or systems you’ve led have become load-bearing for multiple teams or products — adopted, depended on, and evolved beyond the original scope. Deep operational intuition for ML systems at scale: you’ve lived through the failure modes (training-serving skew, silent degradation, cost spirals) and built the systems to prevent them. Background in cloud-native orchestration and large-scale system design (Kubernetes, GPU scheduling, container orchestration) applied at global scale. History of improving developer experience for ML practitioners in ways that measurably changed how fast or reliably they shipped. Track record mentoring senior and staff-level engineers; evidence of elevating platform engineering judgment across an organization. Experience building ML platforms that serve multiple products or game titles simultaneously is a plus. Track record solving novel scale, latency, or reliability constraints in ML data pipelines is a plus. Background in ML governance, security, privacy-preserving techniques, or compliance at organizational scale is a plus. Passion for player experience, games, or creative technology. For this role, you will find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. (Los Angeles Only) Base salary range between $292,300.00 - $437,900.00 USD + incentive compensation + equity + 401K with company match + medical, dental, vision, and life insurance + short and long-term disability + open PTO.

Location: British Columbia Workplace: Hybrid Safe Software is looking for a Director, Employee & Workplace Experience to join our People & Culture team. As Director, Employee & Workplace Experience, you will build and own the function that makes life at Safe the kind of experience people write about on Glassdoor, talk about in interviews, and remember at their retirement party. This is a player-coach Director role reporting directly to the Chief People Officer. You will own both strategy and execution — setting the vision, building the programs, running the operations, and measuring what matters. You will partner closely with Marketing, the HRBPs, and the executive team, and you will lead a small team spanning employee experience, workplace, and facilities. This is not a support role. You will be the CPO’s right hand on anything that touches culture, belonging, and the story we tell about working here. We have an immediate opening and are excited to find the right candidate to join our team. ABOUT THE TEAM Safe Software builds FME — the data integration platform trusted by 25,000+ organizations in over 100 countries. We are profitable, PE-backed, and on a clear path to $250M ARR. Our team of 350+ Safers works across Canada, the US, and a growing EMEA footprint. We have strong culture bones: a strong Glassdoor rating, a set of values Safers genuinely live, and a Day 1 Mindset that keeps us moving fast. What we have built is good. What comes next has to be intentional — and this role is where that intention gets designed, owned, and measured. Why This Role, Why Now The best employee experiences in the world share one thing: they treat the employee journey like a product. Every touchpoint is designed. Every milestone is felt. Culture isn’t a slide in an all-hands; it’s what happens in the first week, the first review, the first moment someone feels like they belong. Safe is ready to build that — not because we have a problem, but because we have an opportunity. The connective tissue that keeps a company of 350 people feeling like a team is not accidental. It gets built by someone. Specifically, the gaps this role closes: - We are growing globally, and culture does not travel on its own — it has to be planted, tended, and measured. - Internal communications has no single owner, no cadence, and no voice. At 350 people across multiple countries, that is a risk. - Our employer brand is passive, which makes every senior hire harder and more expensive than it needs to be. - Onboarding is a logistics exercise rather than an experience. Day 1 should feel like the best decision a new Safer ever made. - DEI has no strategy, no owner, and no reporting — both a risk and a missed opportunity. WHAT YOU’LL BE DOING As Director, Employee & Workplace Experience, you will: EMPLOYEE EXPERIENCE ARCHITECTURE - Own the employee lifecycle as a product, from offer-accept to exit, with intentional design at every stage. - Redesign Day 1 and the 30/60/90-day onboarding journey with the rigor of a customer onboarding playbook: clear outcomes, emotional arc, and measurable engagement. - Build the recognition, milestone, and belonging programs that make Safers feel seen, not just compensated. - Lead the Fun Committee, hybrid working culture, and all life@Safe programming with a community-first rather than perks-first mindset. - Use data to lead: eNPS, Culture Guard, pulse surveys, and engagement trends tracked on cadence, not on demand. INTERNAL COMMUNICATIONS - Build and own Safe’s internal communications strategy — the cadence, channels, voice, and Safers-first protocol. - Translate leadership decisions, strategy shifts, and company milestones into clear, engaging, human messaging with no corporate speak. - Partner with the executive team to ensure every major announcement lands with context, not just content. - Design communications infrastructure that scales as we grow: all-hands rhythm, async comms standards, and the editorial calendar for Safers. EMPLOYER BRAND AND EVP - Define and embed Safe’s Employer Value Proposition — the story we tell about what it is really like to work here. - Own Glassdoor, LinkedIn Life, and all candidate-facing culture content in partnership with Marketing. - Build employer brand infrastructure ahead of EMEA and US hiring scale, so culture is exported intentionally rather than accidentally. - Turn our Glassdoor score from a passive asset into an active recruiting tool. DEI STRATEGY - Build Safe’s DEI strategy from the ground up: goals, programs, ERGs, and reporting cadence. - Ensure equity is embedded in people processes rather than bolted on, partnering with People Ops and the HRBPs to make it structural, not symbolic. - Report quarterly to leadership and annually to the board. WORKPLACE AND PHYSICAL EXPERIENCE - Own the physical environment as part of the employee experience, with Surrey HQ setting the cultural standard for all Safe offices. - Directly manage the Facilities Manager and the events and workplace program. - Lead the events strategy: all-hands, offsites, global moments, and the cultural calendar. QUALIFICATIONS, SKILLS, AND COMPETENCIES Safers come from a variety of backgrounds with a diversity in skills and knowledge. That said, we find that those who are most successful in this role have experience with the following areas. REQUIRED SKILLS: - You have spent 8+ years obsessing over how people feel at key moments whether those people were customers, users, or teammates. You have built onboarding, culture, or experience programmes from scratch and you can show the outcomes, not just the process. - You think like a product designer, working in journey maps, personas, and feedback loops. - You have run internal communications with real editorial discipline. - You have defined or significantly evolved an Employer Value Proposition. - You have events or culture programming experience. - You use data fluently — eNPS, pulse surveys, and engagement metrics are your native language. - You have managed physical workplace or facilities at a growing company. - You can influence a leadership team without a mandate; you earn the room. NICE TO HAVE: - Experience at a global or multi-site company. - Experience partnering with Marketing on brand campaigns. - Community-building or ERG program experience. - A background in change management. - Experience leading DEI initiatives that produced measurable, not performative, outcomes. - Most importantly: you believe employee experience is not a cost centre but a competitive advantage — and you are done working for organizations that haven’t figured that out yet. What You Can Expect When you choose a career with Safe Software, you’re also choosing… - Meaningful Work: Make a profound impact across our business, workplace and data integration product. - A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support. - Social Responsibility: Become part of a team that finds meaningful ways to give back https://www.safe.com/about/community-initiatives/. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives. - Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe. - Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to. - Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year. - Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That’s right, no waiting period. - Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption. - Shared Success: Share in Safe’s success with our bi-annual profit sharing and RRSP/TFSA matching program. - An Accessible Commute: Regardless of your commute method, we’re located close to public transit, and provide complimentary parking and bike storage for our team! ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.

Location: South Metro Animal Emergency Care - Apple Valley, Minnesota This is a full-time night position. Candidates must be available to work night shifts. POSITION SUMMARY: The Customer Service Representative (CSR) actively recruits new clients and promotes hospital services. Schedules client visits and drives the flow of clients and pets through the hospital to aid the productivity of the veterinary medical team. Ensures good communication with the clients, and coordinates the care of the pets, influencing clients to return and refer their friends and families. WHAT YOU’LL DO (Essential Functions): • Foster a culture built on our values: Respect, Learning, Do the Right Thing, WOW Service, and Fun • Maintain knowledge of the services the hospital provides and utilizes the information to promote the hospital’s services and products to existing and prospective customers • Welcome clients and pets, ensuring that they are comfortable in the hospital, and educating the clients about preventative care and pet health needs • Assist incoming clients. Document and enter the pet’s history, requested services, and other pertinent information within the practice management software • Direct the flow of clients and pets to ensure superior client care and maximum productivity of the veterinary medical team • Answer basic questions from clients on the phone and in person, act as an initial triage to determine patient’s service needs. Refer the patient to the appropriate veterinary staff as needed • Schedule client appointments and follow-up exams. Work with Veterinarian(s) and veterinary staff as needed to ensure optimal scheduling • Assist outgoing clients by providing all necessary instructions, information, and invoices • Dispense prescription items per the Veterinarian's instructions and sells retail products • Responsible for cash management including accepting payments for products and services provided. Perform daily reconciliation of the cash drawer • Respond to customer complaints in a professional, courteous manner and act satisfactorily to resolve the problem • Support a practice environment that promotes collaboration and teamwork to ensure the delivery of quality, compassionate, effective, and efficient health care to pets • Comply with all practice policies, quality assurance guidelines, and minimum standards of care • Perform other duties and projects as requested WHAT WE’RE LOOKING FOR (Essential Qualifications): Education : • High School Diploma or GED required Professional Licenses/Certifications: None Experience: • 1+ years experience in retail sales or customer service preferred • Experience in a medical facility desired Knowledge, Skills and Ability: • Ability to provide effective customer service principles • Basic knowledge of medical terminology • Basic proficiency with a variety of computer programs including Microsoft Office Suite • Basic written, verbal, and active listening communication skills • Strong customer relations and interpersonal skills • Exercises tact and diplomacy in dealing with sensitive issues and situations • Prioritize work and handle a variety of tasks simultaneously, with frequent interruptions • Strong organizational and time management skills • Effectively and quickly responds to requests in a proactive manner • Strong attention to detail and high level of accuracy PHYSICAL DEMANDS: While performing the duties of this job, the team member is regularly required to talk and hear. The team member must frequently use a computer for long periods of time. Specific vision abilities are required to do this job including close vision. This position requires walking and/or standing for long periods of time, bending, reaching, grasping, and repetitive motions. May be exposed to disinfectant/sanitation chemicals, pets dander, and excretions. This position is exposed to low to moderate noise levels. Must be able to lift up to 30 lbs. unassisted, 50 lbs. with assistance. Must be able to work flexible hours including evenings and weekends. SUPERVISORY RESPONSIBILITIES: None Compensation Range $17 — $22 USD

Location: Dubai Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? We’re seeking an exceptional Customer Success Manager with deep expertise in the UAE private sector enterprise landscape to lead our most strategic accounts across these dynamic markets. This role requires an individual who understands both the transformative potential of frontier AI and the unique requirements of private sector organizations in Saudi Arabia and the United Arab Emirates. WHAT YOU'LL DO STRATEGIC CUSTOMER PARTNERSHIP - Own the success, adoption, and growth of Cohere’s UAE private sector customers, ensuring they realize maximum value from our AI solutions. - Build deep, trusted relationships with senior enterprise stakeholders, including CXOs, VPs, Directors, and digital transformation leads. - Develop comprehensive success plans tailored to each organization’s mission, digital strategy, budget cycles, and unique constraints. - Serve as the primary point of contact and executive sponsor for your accounts, managing escalations and ensuring customer satisfaction. - Define and track success metrics aligned with private sector priorities: ROI, revenue growth, operational efficiency, cost savings, and innovation outcomes. AI ADOPTION & IMPLEMENTATION LEADERSHIP - Guide customers through the full lifecycle of AI adoption—from use case identification and pilot design through production deployment and scaling. - Lead secure AI implementation projects in complex enterprise environments, including sensitive systems and on-premises deployments. - Navigate the unique challenges of UAE private sector AI adoption: legacy system integration, data sensitivity, regulatory compliance (UAE Labour Law, Saudi business regulations), and cultural considerations. - Create and execute change management strategies to drive user adoption and value realization across diverse enterprise workforces. - Conduct regular executive business reviews with senior stakeholders, demonstrating ROI, impact, and strategic value. - Drive contract renewals and account growth by consistently delivering value and building trusted relationships. CUSTOMER ADVOCACY & PRODUCT INFLUENCE - Serve as the voice of UAE private sector customers within Cohere, advocating for features and capabilities that address regional enterprise needs. - Provide strategic feedback to Product and Engineering teams on requirements related to security, explainability, Arabic language support, and ethical AI. - Contribute to the development of UAE-specific enterprise offerings, implementation playbooks, documentation, and best practices. - Share customer insights to inform Cohere’s regional go-to-market strategy and positioning. - Represent Cohere at regional business forums, industry events, and enterprise roundtables. YOU MAY BE A GOOD FIT IF REQUIRED EXPERIENCE - 8+ years of experience in customer success, account management, strategic consulting, or technology delivery roles within enterprise or private sector contexts. - At least 3-5 years working directly with UAE enterprises across industries such as finance, healthcare, logistics, or technology. - Proven track record of managing complex, strategic accounts with multiple stakeholders, long sales cycles, and multi-year implementation timelines. - Experience leading AI/ML, cloud, or enterprise software implementations in secure or highly regulated environments. - Experience developing and executing customer success strategies, QBRs, and executive engagement programs. - Deep understanding of how UAE enterprises evaluate, procure, and govern technology solutions. - Fluent Arabic and English language proficiency—essential for working across regional markets. - Strong knowledge of regional business culture, including relationship-building practices and hierarchical decision-making processes. REGIONAL EXPERTISE - Understanding of the UAE business environment: free zones, mainland companies, and multinational operations. - Knowledge of relevant regulations: UAE Labour Law (Federal Decree Law No. 33 of 2021), Saudi business regulations, and data protection frameworks. - Familiarity with national initiatives: Saudi Vision 2030, UAE Digital Transformation Strategy, and Smart Dubai. - Experience with regional cloud strategies and security frameworks. NICE TO HAVE - 3+ years specifically managing GenAI, LLM, or conversational AI implementations. - Experience with UAE enterprise digital transformation initiatives. - Direct experience with regional defense, financial services, or healthcare sectors. - Background in management consulting, systems integration, or digital transformation consulting for regional clients. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io.     Why This Role Is Important to Arcadia Analytics sits at the center of how Arcadia turns complex healthcare data into better outcomes and smarter decisions. On the product side, that means building and owning the productized analytics engines — risk, medical economics, episodes-of-care, and more — that power Arcadia's platform company-wide, built once and delivered at scale across our entire customer base. On the Customer Insights side, that means going deep on a specific customer's specific problem: custom data models, bespoke dashboards, advisory work, and long-running embedded programs that don't fit a one-size-fits-all product. We describe Customer Insights' work as sitting between a platform and a plan — more customized and hands-on than an off-the-shelf reporting product, more flexible and embedded in the customer's actual decisions than a traditional outsourced consulting engagement. We're currently hiring for several closely related analyst roles across this broader Analytics organization — spanning ownership of one of Arcadia's core analytics engines, program-specific analytical development for a major state Medicaid risk-stratification initiative,  a ground-up registry build for a national quality organization, versatile project and retainer delivery across our health system and payer customers, and dedicated analytics support for a major national health plan's Medicaid program. All of these roles sit at the Senior Analyst or Lead Analyst level, combine technical excellence with real influence over analytic strategy and (for some placements) product direction, and shape how Arcadia and its customers use data to improve population health outcomes, reduce costs, and enable smarter healthcare decisions. The skills and experience below are characteristic across these roles as a set — not every requirement applies to every specific seat, and we don't expect any one candidate to bring all of it. We'll work with you during the interview process to identify which role is the best fit for your background and interests. What Success Looks Like In 3 months Ramp into your specific engagement's data model, technical stack, and stakeholder relationships — most Customer Insights engagement has real history and context to build into, not a blank slate Learn Arcadia's core analytics platform and toolset (QuickSight, Foundry, dbt, the AWS ecosystem) as used in your engagement Deliver your first piece of analytical work that demonstrates clear value to your engagement's stakeholders  In 6 months Own meaningful pieces of delivery independently — whether that's a program's analytical development, a portfolio of retainer/project work, or a dedicated account's dashboarding and reporting Be a credible, independent presence in front of the customers or partners tied to your engagement Contribute to at least one reusable analytical asset, framework, or automation that extends beyond your immediate engagement Begin taking on the ongoing health of your area, not just its delivery — standing up a backlog/tech-debt process, or growing into a broader backup role alongside your engagement's primary owner, depending on placement In 12 months      Be a recognized expert in your engagement area, trusted with its most complex or ambiguous work  Actively identify and pursue opportunities for automation, scalability, and reuse across your work Have grown into deeper ownership than where you started — full backup or co-owner on an account, sole steward of a program's tech-debt and backlog, or, for analytics-engine placements, the architect shaping that engine's roadmap toward being market-leading What You'll Be Doing Technical Analytical Delivery Translate ambiguous or partially-scoped business and clinical questions into a concrete, buildable data plan, then build the underlying data model, code, and analysis on top of it Develop and maintain analytical pipelines and reusable data assets using SQL, dbt, and Arcadia's core data platform (Foundry, AWS data lake environments) For analytics-engine placements: serve as the lead analytics strategist for at least one of Arcadia's productized analytics engines (e.g., risk, medical economics, episodes-of-care), owning it end-to-end while contributing to others For engagements involving predictive or risk models: design and build the models, partnering with a dedicated Data Science team on training and validation — a consultative relationship, not a daily modeling partnership Build dashboards, provider scorecards, registries, self-service reporting tools, benchmarking views, and other analytical deliverables (QuickSight and beyond) on top of that modeling work, as the engagement calls for it Maintain the analytical integrity and quality of your work, flagging issues before they reach a customer or partner; for senior placements, oversee analytic quality standards and rigor across engagements more broadly, not just your own Program and Project Management Manage delivery — whether that's a single program's delivery calendar and decision log, or a portfolio of concurrent projects across multiple customers — surfacing risks and tradeoffs before they become blocking issues Create client-facing materials — status decks, decision memos, technical explainers — tailored to a range of stakeholders, from highly technical counterparts to policy or business stakeholders with limited technical background Delegate routine or repeatable work to junior analysts as your engagement grows, and help cross-train others for coverage Lead cross-functional analytic initiatives that span multiple teams or engagements Customer and Cross-Functional Partnership Serve as a primary or supporting day-to-day contact for your engagement's customers or delivery partners, navigating scope and timeline conversations directly Partner with Customer Management, Growth, Product, Technical Operations, and/or Engineering — depending on placement — on account strategy, product direction, or analytics roadmap; for analytics-engine placements, partner closely with product and engineering to deliver Arcadia's analytics roadmap and contribute directly to product innovation Hold real authority at the boundaries where your work meets someone else's — able to require rework or hold a handoff that isn't ready (e.g., with a partner Data Science team), or push back on what's actually worth building with Customer Management, Growth, or Product , rather than defaulting to whatever's asked Act as an internal thought leader on your area of expertise, contributing to Arcadia's broader analytics strategy and reusable methodology — and, for some placements, an external one, representing Arcadia's analytic capabilities at customer meetings, industry conferences, and in publications Team Contribution Mentor and develop junior analysts, building organizational capacity beyond your own individual delivery Take ownership of your area's long-term health, not just its immediate delivery — a backlog/tech-debt log, a growing backup role on an account, or a roadmap for an analytics engine, depending on placement Apply AI tooling as a standard part of your workflow — analysis, QA, documentation — not an occasional accelerant Identify opportunities for automation, scalability, and reusability in analytical delivery, and help build those improvements out What You'll Bring Strong SQL and data modeling expertise — able to translate ambiguous business or clinical requirements into a concrete data plan, then build the underlying code and analysis on top of it Healthcare data experience — claims and/or clinical data, with value-based care familiarity Direct customer- or partner-facing experience — comfortable scoping and presenting without close oversight Comfortable adopting AI tooling as a standard part of an analytical workflow For Lead-level placement: demonstrated experience leading analytical work independently, managing multiple stakeholders, and mentoring less experienced analysts Note: our experience bar across these roles generally skews toward Lead-level expectations, even for some Senior Analyst placements — but not every skill listed here or below applies to every specific seat. Would Love For You To Have Experience with dbt-based analytics engine development (e.g., risk, medical economics, episodes-of-care) and partnering with product/engineering on roadmap Dashboarding experience — QuickSight or a comparable BI tool Enough quantitative/ML fluency to build models and hand them to a Data Science team for training Experience with medical economics, risk algorithms, quality data, and/or episodes-of-care analytics Statistical or biostatistics fluency — risk-adjustment, odds-ratio, or observed-to-expected benchmarking, etc. Direct experience with clinical quality or accreditation registries Prior experience with state Medicaid programs or similar large government health programs Prior experience in a project-based/retainer delivery model spanning multiple customers, rather than a single dedicated account Experience working within a prime contractor or partner structure on shared delivery Experience presenting analytic capabilities externally — customer meetings, industry conferences, publications Python for analysis and QA; familiarity with the AWS ecosystem, Jira, and Confluence Experience with data governance or data-product/monetization considerations Note: this list spans skills relevant to several different roles across the Analytics organization — we don't expect any given candidate to have all of them. Bring what you have; we'll talk through the rest during the interview process. What You'll Get Become a member of the talented, energized, diverse and purpose-driven Arcadian Community with decades of collective experience in population health, product development, and data science Employee driven programs and initiatives for personal and professional development A flexible, remote-friendly company with personality and heart Competitive compensation and strong benefits, including Flexible Time Off The opportunity to: Own real, high-stakes analytical work across some of Arcadia's most complex customer relationships and highest-visibility internal analytics products Work across a genuinely varied set of problems — deep technical program ownership, versatile multi-account delivery, or company-wide analytics engines, depending on placement Build models and analytical assets that directly shape care and coverage decisions for the members and patients they serve Senior Analyst: $125,000 – $145,000 a year Lead Analyst: $145,000 – $170,000 a year About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

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 Business Development Representative at Anthropic, you'll drive the adoption of safe, frontier AI by optimizing our lead management processes and identifying new market opportunities. In this pivotal role, you'll enable our sales team to focus on high-value, revenue-generating activities by leveraging your analytical skills, project management expertise, and strategic thinking. Your role is critical in streamlining our sales pipeline and uncovering untapped potential in the AI market. Responsibilities: Maintain full ownership of pipeline generating activities in your sales territory Collaborate with sales teams to understand their needs and optimize lead handoff processes Manage and prioritize a high volume of inbound leads Conduct initial qualifications for high-potential leads Outbound against strategic prospects to generate high-intent opportunities with Startup and Enterprise teams Support the development and execution of strategic outbound initiatives Provide data-driven insights to inform sales strategies and resource allocation Continuously refine processes to improve efficiency and effectiveness You may be a good fit if you have: 2-3+ years of experience in a fast-growing startup, preferably in lead management and project management roles or 2-3+ years of experience in a field like finance & investment banking, consulting or software engineering Strong analytical skills with the ability to translate data into actionable insights Experience with Salesforce, HubSpot, and SQL (preferred) Excellent communication and interpersonal skills Ability to work in a fast-paced, dynamic environment Passion for AI/ML and understanding of API-first or consumption-based business models Bachelor's degree in Business, Marketing, Computer Science, or related field 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: $116,480 — $131,040 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic’s Data Center team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and vendors to stand up facilities that can reliably cool some of the largest accelerator clusters in the industry. As a Senior Data Center Mechanical Engineer based in the United States, you’ll lead the design direction and technical oversight of building mechanical systems — cooling, chilled-water distribution, liquid cooling, plumbing, and fire protection — across our rapidly expanding U.S. portfolio. This is a senior individual contributor role focused on driving and reviewing mechanical design from concept through detailed design and construction documentation produced by external engineering firms and development partners, ensuring every facility meets Anthropic’s standards for reliability, efficiency, and scalability. You’ll own the mechanical design direction from Basis of Design through construction and commissioning, serving as the primary technical interface between Anthropic’s internal teams and our external engineering and development partners. A central part of this role is speed-to-capacity through prefabrication and modular construction — modular cooling skids, prefabricated piping assemblies, and design for offsite manufacture that compress schedules and reduce onsite labor. You’ll bring deep familiarity with U.S. mechanical, plumbing, and fire codes and the local regulatory environment, and ensure the cooling architecture keeps pace with rapidly increasing rack densities and the shift toward direct-to-chip liquid cooling. Strong candidates will bring deep mission-critical mechanical design experience and the judgment to make sound trade-offs when the standard playbook doesn’t apply. Responsibilities Design direction & review Drive mechanical design concepts for data center cooling plants, chilled-water distribution, liquid cooling (direct-to-chip and CDUs), plumbing, and fire protection systems. Review and direct design drawings, specifications, and construction documentation produced by external engineering firms, ensuring alignment with Anthropic’s Basis of Design and owner requirements. Evaluate design submittals, shop drawings, and equipment selections; respond to RFIs with clear technical direction. Identify design conflicts and drive resolution across mechanical, electrical, and controls disciplines. Maintain and evolve Anthropic’s internal mechanical design standards and reference configurations. Prefabrication & modular delivery Drive Anthropic’s prefabricated and modular mechanical strategy — modular cooling skids, prefabricated piping and pump assemblies, and design for offsite manufacture and onsite assembly — to accelerate deployment and reduce onsite labor. Drive standardization of modular mechanical designs across sites while preserving flexibility for site-specific constraints and evolving hardware generations. External partner & vendor coordination Serve as the primary mechanical engineering point of contact for external developers, design engineers, and construction partners across the U.S. portfolio. Develop scopes of work, equipment specifications, and bid packages for mechanical infrastructure. Perform technical due diligence on third-party and colocation facilities, evaluating mechanical designs against program requirements and redundancy targets. Coordinate with equipment vendors and manufacturers on cooling system procurement, including chillers, CDUs, pumps, and piping assemblies, and partner with supply chain to mitigate lead-time and single-source risk. Construction & commissioning Monitor mechanical system installation for compliance with design intent, applicable U.S. codes and standards, and industry best practice. Conduct site visits to review progress, resolve field issues, and validate construction quality; travel to sites across the region as needed. Support testing and commissioning of mechanical systems; analyze data and troubleshoot issues against design intent. You may be a good fit if you Have 10+ years of experience designing building mechanical systems for data centers or mission-critical facilities, across the project lifecycle from concept design through construction, commissioning, and handover. Have deep familiarity with U.S. mechanical, plumbing, and fire codes and standards — including the International Mechanical Code (IMC), International Plumbing Code (IPC), International Energy Conservation Code (IECC), International Building Code (IBC), NFPA 13 (automatic sprinkler systems), ASME B31 piping codes, and applicable state and local amendments, alongside ASHRAE guidance (incl. TC 9.9). Have strong knowledge of chilled-water systems, air-cooled cooling plants, liquid cooling (direct-to-chip and CDUs), and redundant piping configurations. Have hands-on experience with prefabricated and modular mechanical infrastructure — modular cooling skids, prefabricated piping assemblies, and design for offsite manufacture. Have experience driving and reviewing mechanical design work produced by external engineering consultants, and are proficient reading and marking up construction drawings, P&IDs, and single-line diagrams. Hold a bachelor’s degree in Mechanical Engineering; a Professional Engineer (PE) license (or eligibility) is valued but not required. Communicate clearly and can drive technical decisions across internal teams and external partners, and are results-oriented with a bias toward practical solutions. Are able to travel up to ~30% to data center sites across the region. Strong candidates may also have 15+ years of experience designing building mechanical systems for data centers or mission-critical facilities. Direct project experience delivering data centers in multiple U.S. markets (e.g., Virginia, Ohio, Texas, Arizona, Oregon). Experience with thermal-hydraulic modeling software (AFT Fathom, Cadence 6SigmaET, ANSYS, or similar), CFD modeling, and energy analysis. Familiarity with controls/BAS systems and sequences of operation for cooling plants. Experience preparing SOWs, facility audits, and TCO analyses. A track record building modular prefabricated products in mechanical or electrical areas of the data center, and driving designs toward offsite manufacturing. Proficiency with Revit MEP or AutoCAD MEP. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Migration Engineer for GitLab Dedicated, you'll partner with customers to plan and deliver migrations from self-managed GitLab to GitLab Dedicated. You'll use GitLab Geo to replicate customer data and move customers onto fully managed, isolated GitLab environments with minimal disruption. You'll balance hands-on technical delivery with clear communication and project ownership, translating each customer's goals, timelines, and constraints into a practical plan and guiding them through cutover and validation. You'll use infrastructure as code and configuration as code practices, Kubernetes, cloud platforms, and network design to work within existing GitLab Dedicated environments. You'll also improve the tooling, scripts, and runbooks that make migrations repeatable and reduce manual work, while sharing insights from customer engagements with GitLab's Product and Engineering teams. Lead migrations from self-managed GitLab to GitLab Dedicated using GitLab Geo to replicate customer data Design migration runbooks and automation for repeatable cutovers, and validate target environments built with Terraform, Ansible, and Kubernetes What you’ll do Deliver customer migrations from initial assessment through planning, replication, cutover, and post-migration validation. Use GitLab Geo to replicate customer data, debug synchronization issues, identify root causes, and keep migrations on track. Design customer network connectivity within GitLab Dedicated constraints, including virtual private clouds, private connectivity, Domain Name System configuration, and firewall rules. Apply infrastructure as code and configuration as code practices to interact with and validate existing GitLab Dedicated environments. Advise customers on migration sequencing, cutover windows, integration requirements, risks, and clear next steps. Improve migration tooling, scripts, and runbooks to make delivery more reliable, repeatable, and efficient. Partner with Professional Services, Environment Automation, Product, and Engineering to resolve blockers, share field feedback, and keep delivery consistent. Manage multiple customer engagements while balancing customer outcomes, delivery priorities, and share technical knowledge with other engineers. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Experience delivering customer-facing migration, installation, training, or technical advisory engagements. Experience using, deploying, or configuring GitLab, with a solid understanding of Git and source control workflows. Experience with infrastructure as code or configuration as code tools such as Terraform, Ansible, Packer, Puppet, or Chef. Hands-on experience running Kubernetes workloads in production, including deployments, rollouts, and debugging crash loops, failed health checks, and scheduling issues. Experience with a major cloud provider such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, along with working knowledge of network design and connectivity. Ability to read, understand, and modify infrastructure tooling, with familiarity in languages such as Go, Python, or Ruby. Ability to independently lead multiple customer projects, communicate clearly in written and spoken English, and build agreement in a remote, largely asynchronous environment. PubSec/Federal experience a plus. A solution-oriented approach, effective cross-functional collaboration, and a commitment to GitLab's values. Experience with GitLab Geo and replication is helpful, but deep expertise can be developed in the role. About the team Migration Engineers are part of GitLab's Dedicated Infrastructure organization. We work with Sales, Professional Services, Environment Automation, Product, and Engineering to coordinate delivery, resolve customer needs, and share field feedback that improves GitLab features and delivery practices. We work remotely and largely asynchronously across regions and time zones, with a focus on reliable delivery and long-term customer success. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $126,400 — $213,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. Priority application deadline: Applications will be reviewed on a rolling basis. Early applications are heavily encouraged. We’re growing at incredible speed, and expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. We’re hiring a Chief Technology Officer to lead the building and rebuilding of the technology, systems and ways of working that will enable a sustained $5B+ p/a operation. You will build software that safely and securely moves billions of dollars to millions of vulnerable people in some of the poorest and highest need parts of the world. This will require applying excellent engineering, team building and organizational judgment to complex, high-stakes operations: identity and fraud management, machine learning on large but imperfect datasets (cell phone data, satellite imagery, government registries), mobile money integrations, low-connectivity environments, rapidly evolving requirements all in diverse regulatory environments and country contexts. You’ll need to keep our legacy technology stack stable and performant, while in parallel building new systems from the ground up for our next level of scale. You will lead engineering, data, security and enterprise technology – with a small, mighty and rapidly growing engineering team of ~15, and the expectation that this can at least double to ~30 in the next 12 months if you want it to. You’ll report to a CEO with deep experience running technology companies, and partner with our VP Product. This role is remote, with working hours between US Eastern Time and East African Time, and some preference for candidates in our office hubs of New York, London, or Nairobi. What we’re looking for: An exceptional hirer, manager and organizer of technical talent. Proven record identifying, hiring, developing and retaining excellent engineers and engineering leaders, and creating team processes that consistently deliver software with quality and velocity. Deep technical judgment, applied close to the work. You can evaluate major designs, pressure-test architecture and build-vs-buy decisions, and recognize when a team is heading the wrong way, without becoming the primary implementer. Low-ego: you’ll investigate a problem yourself when that’s what the situation requires. Business judgment and decisiveness under ambiguity. You’re not just a technical leader, you’re also a business executive. You understand the business, are a strong cross-functional partner, and have a history of good judgment when navigating tradeoffs of long vs. short term, speed, reliability, security, flexibility, cost, technical quality, and user impact. AI first. You have a point of view on where AI meaningfully changes engineering productivity and organizational capability, and you’ve moved a team from experimentation to real, measured use. You can set the tools, culture, goals, and guardrails that leverage the opportunities and mitigate the risks of an AI first engineering culture. Embody and set an example for GD values. We take our values incredibly seriously, and expect our leaders to embody, nurture, and promote them in the way they work and the teams they build. Advantages, not requirements. Experience in an operationally complex or regulated domain (fintech, payments, humanitarian response, global development); systems involving financial controls, fraud risk, identity, or sensitive recipient data; operating across multiple countries, particularly lower-income or infrastructure-constrained ones; leading both modern product engineering and enterprise technology. What you’ll do Define our technology vision and target stack. Own the technical strategy for technology-first delivery at $5B+/year: architecture, platforms, build-vs-buy, and what we retire. Work with executive, product, finance, risk, and data leaders to turn program and product strategy into a sequenced, credible portfolio of technical investments. Balance a demanding portfolio. You'll manage six workstreams that all matter and won't all move at once: (1) building our new cash delivery stack (remote-first verification, fraud prevention, massive volume) (2) stabilizing our legacy stack until switchover, then managing the migration; (3) donor-facing fundraising products; (4) our global emergency cash system (and eventual white-labelling of that product); (5) enterprise technology; (6) internal tooling, platform, and cybersecurity. Deciding sequencing and staffing across these (and saying "not yet" credibly) is the job. Build and grow an exceptional technology organization. Recruit outstanding engineering and technology talent, design the org GiveDirectly needs at its next stage of scale (engineering, product, data, security, infrastructure, enterprise systems), and create the accountability, decision rights, and career paths to sustain high talent density. Grow the engineering team from 15 to ~30 with a lean but durable management structure. Own the technical direction and quality bar. Guide consequential decisions on integrations, data, security, reliability, and technical debt. Ensure our systems can safely support a major increase in transaction volume, geographic reach, and organizational dependence on technology. Set a pragmatic quality bar appropriate to high-stakes financial delivery while preserving speed. Lead across organizational boundaries. Serve as a member of GiveDirectly’s executive team, reporting to the CEO and bringing technology into major strategic and operating decisions. Help non-technical leaders understand technical constraints and costs, build credibility with country and functional leaders by understanding their realities, and force clarity when priorities, ownership, or tradeoffs are ambiguous. Travel. Approximately 4–6 trips per year, including visits to GiveDirectly countries of operation. Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy so pay is consistent across comparable roles. Total Compensation (US) of $366,000 – $518,000 comprised of: Base Salary: $300,000 – $375,000 Bonus: $45,000-$112,000 (bonus is % based and decided based on org-wide performance, we will share full methodology during the hiring process) Annual Benefits Stipend: ~$21,000 Total Compensation (UK) of £225,000 – £317,000 comprised of: Base Salary: £193,400 – £241,700 Bonus: £29,000 – £72,500 (bonus is % based and decided based on org-wide performance, we will share full methodology during the hiring process) Annual Benefits Stipend: £2,760 Total Compensation (Kenya) of $333,000 – $467,000 comprised of: Base Salary: $282,500 – $353,100 Bonus: $42,000 – $106,000 (bonus is % based and decided based on org-wide performance, we will share full methodology during the hiring process) Annual Benefits Stipend: $8,453 If you are not based in one of the countries listed above, we will share an estimated salary benchmark for the country you are based in during the hiring process. Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide !

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 Go To Market ("GTM") Systems builds and runs the platform that Sales and contracting operate on, a production Salesforce org plus a growing portfolio of custom internal applications and agents. These systems process revenue-impacting transactions, guide critical business processes, and produce data the rest of the company runs on. Today the path from request, development, test, and pull request to production push is manual and slows the team down rather than speeding it up. We are hiring a DevOps / AgentOps engineer to build and run that path. You will stand up and maintain an AI-first CI/CD pipeline covering both Salesforce and custom application code. This release pipeline will support three modes: fully agentic, human-in-the-loop, and AI-assisted. Anthropic is an unusual place to do this. Our own frontier models are part of the toolkit and the question we want you to answer is what a delivery system looks like when you design it for agents and humans working side by side rather than retrofitting agents into a pipeline built for humans alone. You will work closely with a team of business systems analysts, software engineers, and integration engineers to develop the solution to accelerate their everyday work. The pipeline you build is the one path to production for a system under audit, so the guardrails, approvals, and audit trail are part of the product, not an afterthought. Key responsibilities Design, build, and operate the CI/CD pipeline for a production Salesforce org and a portfolio of custom internal applications, from branching and validation through deploy and rollback Define how a change is classified and routed into an agentic, human-in-the-loop, or AI-assisted lane, what gates each lane passes through, and how a change escalates between lanes when validation fails or risk changes Build the agent operations layer: what agents are scoped to do in the pipeline, what tools and permissions they hold, how they are sandboxed differently for Salesforce and custom-app work, and what they are not trusted to do unsupervised Implement approval workflows that keep PR review and business sign-off as distinct gates, with clear rules for which changes need which, who is asked, and what evidence they see Own environment strategy, secrets handling, deploy observability, and kill-switch and rollback mechanics across all three lanes Produce the audit trail and evidence a SOX-scoped platform needs Measure and report on the pipeline itself: lead time, failure rate, share of work moving through each lane, and where humans are still doing work an agent should be doing Pair with engineers on the team as they move onto the pipeline, and turn what you learn from them into better defaults Minimum qualifications Have built and run a CI/CD pipeline for a team, including the branching model, merge gating, and rollback path, and can explain the choices you made and what you would change Have hands-on experience with Salesforce deployment mechanics (metadata API, source-tracked development, org-to-org promotion) or a comparable enterprise platform Work fluently with AI coding tools and agentic workflows, and have opinions about which kinds of engineering work belong in the hands of an agent, which need a human review, and where the boundaries are Design for the failure case: you think about blast radius, sandboxing, permissions, and what happens when an automated change is wrong before you think about the happy path Are comfortable working across GitHub Actions or a comparable CI system, infrastructure as code, and the scripting needed to glue platforms together Write clear design documents and can defend a design to engineers, business approvers, and auditors in language each of them will accept Preferred qualifications Have shipped agents or automation that operate inside a production system of record, and have dealt with what happens when they misbehave Have operated a platform under SOX or a similar audit regime and know what evidence a change-management control actually requires Have experience with Salesforce DevOps tooling (Gearset, Copado, sfdx-based pipelines) and know where those tools stop and custom work begins Have run a migration from ad hoc or manual deploys to a governed pipeline and can talk about how you kept a team shipping while you did it Have built approval or notification workflows in Slack or a comparable tool that people actually used 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: $270,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.