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About the role: The Global Alliance Lead is a senior individual contributor role reporting to the Global Head of GSI Relationships. The role involves owning the relationship with a leading technology and transformation partner end-to-end, from C-suite engagement to practitioner enablement and joint pipeline creation. The candidate will architect how the GSI and NewCo go to market together, ensuring the platform becomes the trusted data foundation inside the GSI’s agentic AI delivery practice globally. The role requires orchestration across sales, partner solution architecture, marketing, and partner operations. What You'll Do: - Own the global GSI relationship at partner and C-suite level, building trusted relationships with client, practice, and delivery team leads. - Define and execute a multi-year joint strategy positioning dbt + Fivetran as the default open data infrastructure layer within the GSI’s enterprise AI and agentic workflow delivery. - Represent NewCo at GSI’s internal forums, client briefings, and industry events. - Drive adoption of the dbt + Fivetran platform within GSI delivery teams, ensuring certification and active recommendation. - Embed NewCo's platform into GSI business groups, delivery architectures, RFP responses, and client proposals. - Design and execute enablement programs including certifications, reference architectures, use case playbooks, and joint delivery assets. - Partner with GSI marketing and alliances teams to develop joint go-to-market campaigns. - Support GSI in building client-facing agentic AI value accelerators with NewCo platform as the foundational data layer. - Source and develop new pipeline opportunities through the GSI relationship. - Drive co-sell motions alongside GSI account teams. - Maintain rigorous tracking of GSI-engaged pipeline. - Define and track signals indicating a healthy, high-performing GSI relationship. - Report regularly on alliance health, pipeline contribution, and strategic progress. - Identify risks and gaps early and mobilize resources to address them. What you will bring: - 15+ years of experience in strategic alliances, enterprise sales, or partner management within data, cloud, or enterprise software. - Experience managing complex global relationships with major consulting firms or GSIs at senior level. - Deep understanding of modern data stack and business value of open data infrastructure; experience with dbt, Fivetran, or equivalent preferred. - Ability to engage credibly at C-suite and partner level within global consulting organizations. - Strong commercial instincts to identify and develop joint pipeline opportunities. - Track record as a cross-functional orchestrator influencing sales, engineering, marketing, and operations. - Exceptional communication and storytelling skills. - Familiarity with AI, agentic workflows, data governance, and GSI operating models. - Willingness to travel globally. What Success Looks Like in Year One: - Defined joint strategy with GSI signed off at executive level. - Increased GSI practitioner certifications and platform deployments. - GSI-sourced pipeline contributing to revenue. - At least two joint go-to-market campaigns live. - Client-facing agentic value accelerators delivered. - Telemetry framework tracking alliance health and pipeline influence. Perks and Benefits: - 100% employer-paid medical insurance. - Generous paid time off including vacation, sick time, parental leave, holidays, and volunteer days. - RSU stock grants. - Professional development and training. - Company virtual happy hours, free food, and team-building activities. - Monthly cell phone stipend. - Access to mental health support platform. Additional Information: - The role qualifies for Fivetran’s incentive plan with total on-target earnings. - Compensation range for Denver location: $165,739 to $280,000 USD per year including OTE. - Remote work from Denver, Colorado, United States. - Commitment to diversity, equity, inclusion, and accommodations during interview process. To apply: https://weworkremotely.com/remote-jobs/fivetran-global-alliance-lead-capgemini

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 Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude often have the most demanding needs, with rigorous requirements around end-user experience, procurement, security, and permissions. We believe earning their trust is essential to ensuring AI benefits the world broadly. We're looking for a Staff+ Full Stack Engineer for our Enterprise pillar—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company rolls out Claude to 100,000 employees, the admin, governance, and management experiences you build are what their IT leaders, security teams, and end users touch every day. This is a high-agency role where the product questions are as open as the architecture ones: you'll help decide what these products are, not just how they're built, and you'll see your work land with real teams at the world's largest enterprises. What you'll do Own technical design and delivery for enterprise-facing products end-to-end across the stack—from admin consoles and governance surfaces to the APIs and data models behind them Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec Set technical direction and standards for your team: architecture, code quality, and how the team builds Work directly with enterprise customers, admins, and sales during key conversations, translating what you learn into engineering priorities Build the primitives that let the world's largest organizations deploy, govern, and get value from Claude at scale Mentor other engineers and raise the technical bar across the team, working with influence rather than authority You may be a good fit if you Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Have led the design and delivery of complex customer-facing products across the full stack Have built enterprise SaaS products and understand what IT admins, security reviewers, and procurement teams need to say yes Are comfortable working directly with enterprise customers and translating what you learn into technical decisions Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have Experience with enterprise identity, permissions, and administration surfaces (SSO/SCIM, RBAC, audit, usage and spend visibility) Experience building AI products and turning model capabilities into applications people actually use Experience as startup founders or early-stage employees 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: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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, Japan 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 Customer Success Architect, you'll serve as a trusted strategic advisor and technical authority to some of GitLab's most complex and high-value Enterprise and Government customers across Japan. In this role, you will be driving and shaping how our largest customers adopt GitLab's intelligent DevSecOps platform to achieve their business goals and realise meaningful, long-term outcomes. You will be working closely with customers after the sale to turn pre-sales command plans into clear success plans, guide them through their customer journey, and drive adoption, utilization, and technical maturity. You will also be directly influencing renewal and expansion decisions through your post-sales engagements with executive-level decision makers in the account. This is a individual-contributor role for someone who has already led pre or post sales customer engagements in large complex accounts across multiple industry domains to drive quantifiable business outcomes..The individual is comfortable operating with  ambiguity, and can credibly advise VP- and C-level stakeholders on business transformation, application modernization, platform strategy, architecture, and organizational DevSecOps transformation. You'll also be shaping playbooks and best practices, and acting as an escalation point for the team's most technically or politically complex situations. Reporting into the APJ Customer Success organization, you'll own a portfolio of GitLab's most strategic enterprise and Government accounts, act as the executive-level technical liaison for these accounts, and drive cross-functional resolution of their highest-priority issues — coordinating and, where needed, directing the efforts of Product Management, Engineering, Sales, Professional Services, and Support. You'll bring deep technical expertise in CI/CD, cloud platforms, multi-cloud, hybrid architecture and enterprise DevSecOps practices.You will use that expertise to shape customers' long-term platform strategy, apply best practices, configure GitLab for their environments and stay current with platform capabilities. In your first year, success will look like establishing yourself as the trusted senior advisor across a portfolio of flagship accounts, building strong relationships with key stakeholders, materially improving and increasing platform maturity, leading retention and renewal conversations, increasing customer satisfaction across your portfolio and contributing to the broader CSA team's technical standards and ways of working. Some examples of our projects: Turning pre-sales command plans into measurable customer success plans that align technical adoption with business outcomes Leading and driving the technical strategy behind a large-scale DevSecOps platform consolidation for a regulated Enterprise account or Government, including guiding enterprise customers on GitLab best practices across CI/CD, DevSecOps, cloud architecture, TCO, applying compliance and architecture as well as business case presentations to customer executives Owning end-to-end resolution of a critical, multi-team escalation for a flagship account — driving root cause analysis, coordinating Engineering/Product/Support, and personally briefing customer executives on remediation What you’ll do Owns a book of Enterprise and Government customers and drive adoption, retention, expansion, and overall satisfaction through ongoing strategic, business and technical engagement. Serves as the senior post-sales strategic, business and technical advisor for a portfolio of GitLab's most complex, highest-value enterprise and Government accounts, shaping multi-year platform and DevSecOps strategy in partnership with customer executives, coordinating responses to questions, issues, and escalations across Support, Product Management, Sales, and Professional Services. Translates ambiguous, high-stakes business outcomes into rigorous Customer Success Plans that are regularly reviewed with customer stakeholders. The Customer Success Plans contain clearly defined business outcome related goals, quantifiable benefits, realistic adoption milestones and remediation actions. Prepares executive-ready reporting conducted on a regular basis with clear accountability for outcomes that demonstrate impact on adoption, retention, and expansion of GitLab products and services. Provides deep technical guidance on enterprise-scale CI/CD architecture, DevSecOps maturity models, platform consolidation strategy, including advising on complex trade-offs (e.g., multi-cloud vs. hybrid, self-managed vs. GitLab Dedicated, etc). Owns the full lifecycle of your account portfolio's adoption, retention, and expansion outcomes, with direct accountability for the commercial and technical health of flagship relationships. Leads end-to-end resolution of critical, cross-functional account escalations, ensuring root causes are identified, follow-up actions are owned, holding internal teams accountable to timelines, driving the root cause analysis and personally managing executive communication and risk. Leads end-to-end resolution of critical, cross-functional account escalations, ensuring   root causes are identified, follow-up actions are owned, holding internal teams accountable to timelines, driving the driving root cause analysis and personally managing executive communication and risk. Designs and delivers technical enablement programs at scale, identifying systemic maturity gaps across a portfolio and building the roadmap (not just individual sessions) that closes them. Advises key customers stakeholders on cloud and platform architecture decisions with enterprise-wide impact, which includes  multi-region deployment strategy, secrets management architecture and network/security topology for regulated environments. Guides customers on GitLab platform best practices including Git workflows, branching strategies, CI/CD pipeline design, DevSecOps adoption patterns, and security scanning configuration. Provides hands-on technical enablement and onboarding, including education on GitLab features, releases, and use cases, and identification of training and maturity opportunities aligned to customer goals. Engages customers on cloud platform architecture decisions relevant to their GitLab deployment — including self-managed vs. GitLab Dedicated, Runner configuration and auto-scaling, secrets management, and network topology considerations. Advises customers on DevSecOps consolidation value — articulating the TCO, compliance, and developer experience case for platform consolidation over fragmented toolchains. Collaborates with Professional Services, Sales, and internal teams to identify expansion opportunities, recommend enablement interventions, and ensure a seamless customer journey from onboarding through renewal. What you’ll bring Must be a Japanese citizen based in Japan Mandatory Japanese (native or professional level) and English language proficiency Hands-on experience building or owning CI/CD pipelines end to end, including pipeline as code, multi-stage design, artifact management, and troubleshooting in real-world environments. A career built across different direct customer facing engagement roles such as Technical Account Management, Technical Solution Sales, Pre-sales, Business Development, Consulting, Professional services across customers in different industry vertical domains like Government, Banking, Financial and Insurance Services, Manufacturing, Telecommunications, engagement with multiple technology and platform transition experience such as from on-premise deployments to Cloud, application modernization experience from monolith to microservices, from Waterfall to DevOps to DevSecOps and others to provide the depth and breadth of experience to advise customers on transformations and deployments that you've already seen play out elsewhere across your multiple customer engagements. A long-standing demonstrated track record as the person other senior people call when an account is in genuine crisis or gained across a sustained career of Enterprise or Government account ownership Credible judgment earned by personally owning the outcomes of dozens of complex enterprise customer account engagements over the course of a career, including situations with real commercial, technical, and reputational stakes A consistent track record of being trusted by customer executives and internal leadership to operate with minimal oversight in ambiguous and high-pressure situations Deep, hands-on expertise in DevSecOps practices, including shift-left security and integrating SAST, DAST, SCA, and container scanning into development workflows as well as architecting and troubleshooting CI/CD pipelines at enterprise scale Expert-level understanding of Git, merge request workflows and delivery lifecycles, having personally guided organizations through branching strategies such as trunk-based development and GitFlow, and modern software delivery lifecycles. Demonstrated experience with infrastructure as code, GitOps, Cloud and on-premises environments with relevant experience that support GitLab deployments, including networking, identity and access management (IAM), secrets management, and deployment considerations for regulated or high-security environments Demonstrated experience partnering with customers to turn business requirements into actionable success plans, with measurable goals and verifiable business outcomes that are suitable for executive-level quarterly reporting. Demonstrated ability to drive product adoption, dive deep into the accounts assigned and scale out the level of influence in the account. Demonstrated ability to build and defend executive-level business cases (TCO, compliance, risk) that influence budget and platform strategy decisions Demonstrated ability to operate with autonomy in ambiguous, high-stakes situations with strong communication, stakeholder management, and organizational experience  to manage a portfolio of enterprise and Government customers, balance multiple priorities, guide escalations, and coordinate effectively across customer teams and internal cross functional teams to resolve issues appropriately and in a timely manner. About the team The Customer Success Architect team is part of GitLab's Customer Experience organization. It supports strategic enterprise and Government accounts across the APJ region through hands-on technical guidance, consultative partnership, and practical problem solving. We act as a reliable technical advisor and an important link between customers and the broader GitLab ecosystem. We bring platform, cloud, and DevSecOps depth to customer engagements and work closely with Product Management, Engineering, Sales, Support, and Professional Services to address questions, guide customers through technical choices, navigate escalations, and help them realize measurable value from GitLab. Composed of team members working remotely across time zones, we operate asynchronously to support a focused set of strategic accounts across the region. It's a team well suited for people who enjoy solving complex customer challenges, building long-term partnerships, and helping enterprise organizations grow their maturity with GitLab in practical, measurable ways. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: United States; New York; San Francisco Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re launching dedicated Digital Natives coverage in North America, a new team built to serve companies whose products and business models are built around technology. These are cloud-first, developer-led organizations that build fast, scale fast, and evaluate vendors the way engineers do. This is a named account role with a focused portfolio of the most strategic digital native companies in the region. You will be full-cycle - driving new business, as well as expansion inside organizations where the buyer is often a CTO, VP of Engineering, or Head of Product, and where adoption frequently starts with a developer and an API key before it becomes an enterprise relationship. Your job is to find that momentum, multi-thread across technical and business stakeholders, and turn it into durable, multi-product partnerships. These aren’t transactional engagements. You’ll architect solutions that span across our ElevenAgents, ElevenCreative, and ElevenAPI platforms that require cross-functional collaboration to deliver measurable outcomes, and bring field intelligence directly into our product roadmap. You’re not just executing a playbook, you’re writing it. IN THIS ROLE YOU WILL - Own and grow a focused portfolio of named digital-native accounts in North America, driving both net-new business and expansion - Identify where our technology is already being used or evaluated inside an account and convert developer-led adoption into company-wide commitments - Develop and execute multi-year account strategies across product lines, teams, and use cases - Scope and close large ($xM+), complex deals, including multi-product, usage-based, and custom commercial structures - Build deep, multi-threaded relationships across engineering, product, platform, and executive stakeholders - Act as a strategic advisor on how AI voice and multi-modal agents fit into customers’ product roadmaps and architecture - Partner cross-functionally with Solutions Engineering, Forward Deployed Engineering, Customer Success, and Partnerships to deliver and expand value - Translate patterns from this segment into repeatable frameworks, offerings, and product insights that inform how we expand Digital Natives coverage to other regions and verticals - Feed learnings from the field into the product roadmap and the broader strategic sales playbook - Drive creative outbound and high-touch engagement strategies (onsites, technical deep dives, exec briefings, developer and founder events) REQUIREMENTS - 6-10+ years of quota-carrying experience with a focus on strategic or enterprise accounts - Experience selling to technology companies, high-growth startups, or developer-led organizations, ideally API, infrastructure, or platform products - Proven track record of closing and expanding seven-figure+ deals within named accounts - Experience leading complex, multi-threaded sales cycles where engineering and product leaders are the primary decision-makers - Strong ability to drive land-and-expand motions, including converting self-serve or usage-based adoption into enterprise agreements - Experience scoping consultative, custom deals that go beyond standard SKUs - Deep technical fluency, able to engage CTOs and engineering leaders credibly on APIs, integrations, latency, and architecture - Executive presence with the ability to influence founders and C-suite stakeholders on long-term AI strategy - Track record of translating customer needs into product feedback and roadmap influence - Creative, self-driven approach to outbound and pipeline generation - Comfortable operating in a high-growth, ambiguous environment, building a new coverage model from scratch - Willingness to travel for customer engagements (onsites, QBRs, executive meetings) - Strong bias toward action, ownership, and leveraging AI in day-to-day workflows We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Adyen is looking for a Service Cloud Manager to lead support technology teams and deliver scalable customer support systems.

Location: Bolivia, Plurinational State of; Colombia; Mexico; Argentina; Brazil; Venezuela, Bolivarian Republic of We are seeking a highly skilled Cabinet Vision Engineer to join a growing U.S.-based custom woodworking and cabinetry company on a full-time, long-term basis. This role is ideal for a detail-oriented professional with strong experience in Cabinet Vision, UCS codes, custom cabinetry, millwork, and technical shop drawings . You will support high-end residential and commercial projects, transforming architectural plans and design requirements into precise, fabrication-ready cabinetry packages. The company creates fully customized cabinetry and millwork for demanding projects where quality, accuracy, and speed are essential. You will work closely with the internal team, learn their established Cabinet Vision standards and custom attributes, and help improve the turnaround time for detailed drawing packages. Responsibilities Develop accurate cabinetry and millwork drawing packages using Cabinet Vision. Produce detailed floor plans, elevations, sections, renderings, and shop drawings for high-end residential and commercial projects. Review and interpret architectural plans, specifications, and project requirements. Work with Cabinet Vision UCS (User Created Standards) codes , custom attributes, and company-specific configurations. Adapt quickly to internal drawing standards, naming conventions, and established workflows. Create precise, fabrication-ready documentation that reflects custom materials, joinery, hardware, and installation requirements. Support commercial projects with fast turnaround requirements, including drawing packages targeted for delivery within one week of receiving architectural plans. Coordinate with the U.S.-based team to clarify technical details, incorporate revisions, and maintain a high standard of accuracy. Help identify opportunities to improve drafting efficiency while protecting quality and attention to detail. Requirements Advanced, hands-on experience with Cabinet Vision . Proven experience working with UCS codes , custom attributes, configurations, and standards within Cabinet Vision. Strong background in custom cabinetry, architectural millwork, casework, woodworking, or related fabrication environments. Demonstrated ability to produce detailed shop drawings, floor plans, elevations, sections, and manufacturing documentation. Experience with BricsCAD and AutoCAD . Experience supporting high-end residential cabinetry projects; commercial millwork or cabinetry experience is also highly valued. Strong understanding of cabinetry materials, joinery, hardware, construction details, and fabrication considerations. Excellent attention to detail, organization, and ability to work independently. Strong written and spoken English communication skills. Previous experience working remotely with U.S.-based clients or teams is strongly preferred. Ability to learn and follow company-specific systems, standards, and technical processes. Nice to Have Experience creating 3D cabinetry renderings or presentation-ready visuals. Experience improving Cabinet Vision workflows, UCS libraries, standards, or automation. Previous exposure to CNC programming, estimating, or project coordination within a cabinetry or millwork environment Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: Brussels, Belgium We currently have a vacancy for an Front-end Architect fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium . The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site. Tasks: Detailed (technical) design and (front-end) development of new web applications/modules in the eConsilium ecosystem; Draw up an architecture by defining the components which are best suited to the functional and technological constraints; Implement the proposed architecture; Impact analysis: measure the impact of technical requirements on the existing system and suggest priorities; Component modelling; Transfer of knowledge to the development team; Monitoring developments; Integrate third-party solution with a system/an application. Requirements University degree in IT combined with relevant IT professional experience of 8 years; Excellent experience with Angular, REST APIs, Java, Spring (Boot, MVC), GraphQL, Hibernate; Excellent experience with UX best practices, and Angular/Material Design UI frameworks or CSS systems such as SASS to compile style files; Experience in defining IT architecture on various projects (client and server); Experience with middleware development and with its related issues; Experience with UML and MDA modelling; Good knowledge of Enterprise Architecture; Ability to work on web based or system-to-system applications collaboratively with a team of developers using GIT repositories and Atlassian stack tools (Jira/Confluence/Bamboo/etc.); Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (21132/10/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Location: Romania; Bulgaria; Portugal; Poland; Slovakia; Spain Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced ML/Data Engineer to join our dynamic team on a full-time basis. Customer location: USA Candidate locations: EU ONLY Working hours: 11.00-20.00 CET Language: English B2+ Estimated start date: 16.11.2026 Duration: 12 months Project Responsibilities Design and build production data infrastructure for high-volume athlete performance and sensor data. Build and operate real-time and near-real-time ingestion systems for streaming data. Design storage and data architectures for high-volume time-series data and longitudinal athlete records. Build infrastructure that makes production features and derived metrics available to machine learning systems and AI agents with low latency. Design and implement graph data models and schemas representing relationships between athletes, training loads, injuries, performance, and outcomes. Build data and ML evaluation infrastructure that helps measure model reliability, calibration, and performance across real-world cases. Design systems that maintain strong tenant-level data isolation across clubs and customers. Establish appropriate data provenance, lineage, auditability, and observability across the platform. Work with ML and AI engineers to provide reliable data foundations for model training, inference, and evaluation. Work with sport scientists and domain experts to translate complex requirements into durable production systems. Make pragmatic technology and architecture decisions as the platform evolves. Requirements 5+ years of full-time professional software or data engineering experience, excluding internships, university placements, coursework, and academic projects. Proven experience designing, building, and operating production data infrastructure at scale. Strong experience working with time-series data or time-series databases, such as InfluxDB, TimescaleDB, Prometheus, ClickHouse, or equivalent technologies. Significant experience with real-time or streaming data ingestion, using technologies such as Kafka, Kinesis, Flink, Spark Streaming, Pulsar, or equivalent. Experience designing graph data models or graph database schemas, not simply querying or consuming an existing graph database. Experience designing or operating multi-tenant systems with tenant-level data isolation. Strong Python and SQL skills. Professional experience with Go is highly desirable. Experience working with production systems where reliability, scalability, observability, and data correctness matter. Ability to take ownership of ambiguous technical problems and turn them into practical production architectures. Experience working directly with data scientists, ML engineers, or other technical domain specialists. Experience building probabilistic evaluation, model calibration, or model monitoring infrastructure. Experience with causal inference, counterfactual modelling, or simulation. Experience working with wearable sensors, IoT data, biomechanics, sports technology, or other high-frequency telemetry. Experience building knowledge graphs or domain-specific ontologies. Experience with LLM or AI evaluation frameworks and an understanding of their limitations. Experience with AWS, including ECS, EC2, Lambda, SNS, SQS, or related services. Experience with GraphQL, REST, gRPC, Postgres, MongoDB, or similar technologies.

Location: Tashkent, Uzbekistan Sperasoft has been one of key partners for a Tier-1 global publisher for several years. Together, we are continuously building and expanding one of the most iconic, culturally defining, and massive live-service AAA titles in gaming history. We are looking for a talented 3D Environment Artist with a passion for vibrant, stylized art to join our dedicated team. In this role, you won't just be making props - you will be shaping the environment of a world that millions of players live and breathe every single day. Responsibilities Create modular level art assets and props from scratch. Create, trim sheets, tileable and unique textures, and effectively combine them to create high-quality assets. Optimize assets for different platforms, including creating LODs and collisions Requirements Strong ability to create, trim sheets, tileable and unique textures, as well as combine them effectively. In this position, you will primarily be creating assets from scratch rather than placing them on the map. Strong modeling background, ideally in a variety of styles. Ability to manually adjust weighted normals for assets. Strong knowledge of baking and texturing with tools such as Marmoset, Substance Painter, and Designer. Ability to seamlessly bake assets made of multiple parts. Strong Maya experience is a plus. Ability to work with Unreal Engine 5. 2 years of professional experience in the video game industry building architecture and props. A passion for creating games and the ability to learn quickly will be a plus. Benefits Cooperating with an international team of world-class professionals on exciting and challenging projects Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events

Location: Astana, Kazakhstan Sperasoft has been one of key partners for a Tier-1 global publisher for several years. Together, we are continuously building and expanding one of the most iconic, culturally defining, and massive live-service AAA titles in gaming history. We are looking for a talented 3D Environment Artist with a passion for vibrant, stylized art to join our dedicated team. In this role, you won't just be making props - you will be shaping the environment of a world that millions of players live and breathe every single day. Responsibilities Create modular level art assets and props from scratch. Create, trim sheets, tileable and unique textures, and effectively combine them to create high-quality assets. Optimize assets for different platforms, including creating LODs and collisions Requirements Strong ability to create, trim sheets, tileable and unique textures, as well as combine them effectively. In this position, you will primarily be creating assets from scratch rather than placing them on the map. Strong modeling background, ideally in a variety of styles. Ability to manually adjust weighted normals for assets. Strong knowledge of baking and texturing with tools such as Marmoset, Substance Painter, and Designer. Ability to seamlessly bake assets made of multiple parts. Strong Maya experience is a plus. Ability to work with Unreal Engine 5. 2 years of professional experience in the video game industry building architecture and props. A passion for creating games and the ability to learn quickly will be a plus. Benefits Cooperating with an international team of world-class professionals on exciting and challenging projects Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events

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. Job Overview: Sony Interactive Entertainment (SIE) is part of the Sony Group and responsible for the marketing, sales, and distribution of PlayStation hardware, software, services, and digital content. We are seeking an experienced and strategic Sr. IT SOX Governance Lead to establish and drive end-to-end ownership of IT SOX governance within DTIS Global Service Operations (GSO). This role will serve as the primary lead responsible for IT General Controls (ITGC) governance, control framework ownership, audit coordination, onboarding of new systems, and governance standardization across the enterprise. This position is critical to scaling IT governance capabilities, reducing operational risk, and enabling sustainable compliance operations as SIE continues to grow. The ideal candidate will combine deep SOX and ITGC expertise with strong governance leadership, operational execution, and cross-functional collaboration skills. Key Responsibilities: IT SOX Governance Ownership Own and manage the IT SOX governance framework and ITGC program. Establish standardized governance processes, methodologies, and control design practices. Lead end-to-end ownership of ITGC lifecycle activities including design, implementation, onboarding, testing support, remediation tracking, and reporting. Drive governance consistency across systems, applications, and operational teams. Control Design & Framework Management Design, document, and maintain ITGCs and application controls aligned to SOX requirements. Develop scalable governance standards for onboarding new systems and processes into SOX scope. Maintain control narratives, process documentation, data flows, and supporting evidence standards. Partner with control owners to improve effectiveness and operational maturity. Audit & Compliance Leadership Serve as the primary IT interface for external and internal audit stakeholders. Coordinate walkthroughs, evidence collection, testing support, and remediation activities. Manage audit findings, deficiencies, and corrective action plans through resolution. Ensure timely and accurate delivery of audit artifacts and reporting. Risk Assessment & Operational Governance Conduct risk assessments and identify control gaps, process inefficiencies, and governance risks. Develop remediation and mitigation strategies for identified deficiencies. Monitor compliance status, control performance, and governance metrics. Support continuous improvement initiatives focused on automation, scalability, and operational efficiency. Cross-Functional Collaboration Partner closely with engineering, infrastructure, platform operations, Finance Governance (FinGov), and Risk & Compliance teams. Support alignment between SOX governance and other compliance programs including PCI, GDPR, and security governance initiatives. Drive governance accountability and awareness across technical and operational stakeholders. Governance Transformation & Continuous Improvement Identify opportunities for automation and process optimization within SOX operations and evidence management. Contribute to long-term governance roadmap initiatives including continuous monitoring capabilities and scalable onboarding models. Stay current on regulatory requirements, industry trends, and governance best practices. Qualifications: Bachelor’s degree in Information Systems, Information Technology, Accounting, Computer Science, or related field. 7+ years of experience in IT SOX, IT audit, IT governance, compliance, or risk management. Strong expertise in SOX compliance, IT General Controls (ITGCs), and audit coordination. Experience leading governance programs and working directly with external/internal auditors. Demonstrated experience with control design, system scope assessments, system onboarding, and remediation management. Experience with system implementation framework (SDLC). Preferred Qualifications: Big 4 experience supporting SOX audits and IT General Controls (ITGC) assessments preferred. Professional certifications such as CISA, CISSP, CISM, CRISC, or CPA. Experience with Optro SoxHub or similar governance/audit platforms. Strong experience with cloud services and environments, along with knowledge of microservices architecture and CI/CD development techniques is preferred. Prior experience auditing SAP ERP systems is preferred. Experience with S/4, GRC, BW and HANA databases in cloud deployments is a plus. Prior experience in ITGC reviews of complex architectures, across the many IT layers (Networking/OS/DB/App/Tools), and with broad practice in various technologies. Experience supporting large-scale enterprise environments and operational governance transformation initiatives. Experience with process automation and governance tooling. At PlayStation, we value diversity and believe that a diverse workforce leads to a more successful and innovative company. We are an equal opportunity employer (EOE) and welcome applicants from all backgrounds. If you require any reasonable accommodations or adjustments throughout the application process, please let us know and we will be happy to assist you. Join us at PlayStation and be part of a team that is dedicated to delivering exceptional gaming experiences to millions of players worldwide. Apply now and embark on a journey of professional growth and fulfillment! 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. $127,000 — $190,600 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: 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 As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native startups building in the physical world, across robotics, semiconductors, aerospace, manufacturing, and civil infrastructure, as they grow from early product to scale. Some of these companies build the hardware itself and want Claude woven into how they design, test, and operate it, and others build the software that engineers everywhere use to design, simulate, test, and scale, and this role works with both. You'll lead deep technical engagements, partnering directly with startup software and hardware engineering teams to help them build their products on Claude and run their own engineering with it, advising on implementation and agent design as they build what is newly possible with AI in the physical world. You will bridge the gap between what Claude can do and what it takes to build real things, working alongside some of the strongest teams in the field on problems that matter and helping mechanical, electrical, and process engineers get the kind of step change that software engineering has had from agentic coding with tools like Claude Code. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your engineering domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable physical AI startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential startups building in the physical world, whether Claude sits inside the product they sell or inside the way they design, test, and run their own hardware, working alongside them to push the boundaries of AI in engineering, manufacturing, operations, and more Work hands-on with startup software and hardware teams through pair programming and architecture reviews that accelerate their development, and understand their engineering workflows end to end, from design and simulation through test, production, and operations, so that your guidance fits how real hardware gets built Develop prototypes and technical documentation, including evaluation suites, benchmarks grounded in real engineering tasks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, for example integrating Claude with CAD, simulation, design tools, or industrial automation Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about applying AI to physical systems such as reading drawings, 3D geometry, board layout and routing, GD&T, latency and on-premise constraints, and physical safety, then build repeatable evaluations and solutions and contribute insights back to Product, Engineering, Research, and the broader Applied AI team Create technical content for startup audiences including documentation, tutorials, and sample code Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep engineering experience in a physical discipline such as mechanical, electrical, aerospace, robotics, semiconductor, manufacturing, or civil engineering, gained by designing, building, or operating real hardware, along with strong opinions of your own about how to bridge the gap between what AI can do today and how physical things get built 4+ years of technical experience as a software engineer, ML or research engineer, robotics or controls engineer, hardware or systems engineer, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real engineering work in design, simulation, test, or production Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both software and hardware engineering audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the range of a generalist who can context-switch from robots to chips to rockets to factories and get up to speed on a new domain quickly, and a passion for making powerful technology safe and beneficial 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: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native life sciences and biotech startups as they grow from early product to scale. Some of these companies build products on Claude that they sell to the rest of the industry, and others do the science themselves and want Claude woven into how their own research runs, and this role works with both. You'll lead deep technical engagements, partnering directly with startup engineering and scientific teams to help them build their products on Claude and run their own research with it, advising on implementation and agent design as they build what is newly possible with AI in the life sciences. You will bridge the gap between what Claude can do and what the life sciences need, working alongside some of the strongest teams in the field on problems that matter and pushing the boundaries of AI in science as you go. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your scientific domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable life sciences startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential life sciences and biotech startups, whether Claude sits inside the product they sell or inside the way they make discoveries, working alongside them to build innovative use cases that push the boundaries of AI in scientific research and development Work hands-on with startup engineering teams and their scientists through pair programming and architecture reviews that accelerate their development, and understand their scientific workflows end to end so that your guidance fits into real research pipelines Develop prototypes and technical documentation, including evaluation suites, scientifically grounded benchmarks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, such as example MCP servers for domain-specific data sources like genomics platforms, literature databases, and experimental repositories, along with agent skills for common scientific workflows Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about deploying AI in the life sciences such as heterogeneous data, auditability requirements, and the gap between a working prototype and a system that scientists trust, and contribute insights back to Product, Engineering, Research, and the broader Applied AI team, including feedback on the model capabilities and product features that would most accelerate discovery work Create technical content for startup audiences including documentation, tutorials, and sample code Represent Anthropic across the life sciences startup ecosystem and foster community engagement through hackathons, webinars, technical office hours, in-person founder events, and research show and tells Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep experience in the life sciences or biotech, gained through research or industry work in areas such as genomics, drug discovery, molecular design, lab automation, or clinical development, along with strong opinions of your own about how to bridge the gap between what AI can do today and what the life sciences need 4+ years of technical experience as a software engineer, ML or research engineer, computational biologist, research scientist, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real scientific work in the lab or in research Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both engineering and scientific audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the ability to context-switch across scientific domains and use cases, and a passion for making powerful technology safe and beneficial 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: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Technical Program Manager for Corporate Engineering, you will lead programs that build world-class business solutions enabling every Ant to do their best work. In partnership with Anthropic's IT & Security organization, you will drive end-to-end solutions across the company, delivering the right products, tools, platforms, and experiences for all Ants as they work to create a world for safe and powerful AI. In the simplest terms, you build and drive solutions to enable all of Anthropic to be more productive. You will use your technical and program management expertise to lead complex, multi-disciplinary programs from start to finish. You will work with stakeholders to plan requirements, identify risks, lead execution, and communicate clearly with cross-functional partners across the company. You are equally comfortable explaining your team's analyses and recommendations to leadership as you are discussing the technical tradeoffs in product development with engineers. This role owns the full spectrum of Corporate Engineering programs: the IT systems Ants depend on daily, first-party and third-party software platforms, endpoint devices, office infrastructure, AV and collaboration equipment, network infrastructure, and the programs that scale our physical office footprint as Anthropic grows. Responsibilities Partner across Corporate Engineering domains to drive alignment and delivery : Work with globally distributed product, engineering, and architecture teams to foster collaboration, help teams adopt enterprise standards, and enable faster delivery with consistent practices across the organization Define and maintain core architectural foundations : Assist in establishing and maintaining the architectural standards that underpin Corporate Engineering systems, ensuring scalability, reliability, and security as Anthropic grows Lead office deployment and scaling programs : Own end-to-end planning and execution for new office buildouts and expansions, coordinating across IT, Facilities, Security, and external vendors to deliver fully operational workspaces on schedule Own internal systems and infrastructure programs : Drive programs for all internal systems and hardware deployed in Anthropic buildings, including network infrastructure, AV equipment, printing and collaboration hardware, and building technology integrations Lead endpoint and device management programs : Own global programs for corporate laptops, mobile devices, and endpoint management, ensuring Ants have secure, well-managed devices that enable productivity from day one Drive IT Operations excellence : Lead programs that improve IT service delivery, support operations, and the overall Ant experience with technology, driving continuous improvement in reliability and responsiveness Manage enterprise software and platform programs : Lead programs for the 1P and 3P software platforms Ants depend on, including HR systems, productivity tools, and business applications, from evaluation through deployment and ongoing optimization Collaborate with cross-functional stakeholders : Work closely with Security, Facilities, People, Finance, and functional teams across Anthropic to ensure Corporate Engineering programs meet diverse organizational needs Communicate effectively at all levels : Comfortable communicating across all levels of Anthropic from presenting analyses, recommendations, and program status to leadership, engaging deeply on technical tradeoffs with engineering teams, and communicating broadly to the entire company You May Be a Good Fit If You Have 8+ years of experience in IT, Corporate Engineering, or Enterprise Technology, with at least 4+ years leading complex, cross-functional programs Technical background in enterprise IT systems, including endpoint management, identity and access management, network infrastructure, and SaaS platforms Experience leading office buildout or infrastructure deployment programs, coordinating across IT, Facilities, and external vendors Proven experience as a Technical Program Manager or similar role in a technology-focused environment, with a track record of leading company-wide programs to successful completion Strong communication skills with the ability to translate technical concepts for executive audiences and engage credibly with engineers on technical details Ability to manage ambiguity and drive clarity in fast-paced, evolving environments where requirements and priorities shift Strong collaboration skills with proven ability to partner across diverse stakeholders including IT, Security, Facilities, People, Finance, and functional teams Strong Candidates May Also Have Experience scaling IT infrastructure in high-growth technology companies Background in IT service management (ITSM) frameworks and continuous improvement methodologies Experience with enterprise software evaluation, procurement, and vendor management Familiarity with modern endpoint management platforms and zero-trust security architectures Experience with AV systems, video conferencing infrastructure, and collaboration technology deployments Prior technical experience as an IT engineer, systems administrator, or network engineer Experience with IT programs in AI/ML research environments or organizations with unique security and compliance requirements 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: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA or Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance—so developers can focus on building incredible AI agents, not gluing together infrastructure. The Gateway sits at the center of modern AI applications, offering: - A model and tool routing layer with built-in security and cost optimization - A familiar OpenAI-compatible interface and MCP server - Unified observability and policy enforcement - Auto-RAG, tool injection, session summarization, and more We’re just getting started—and we need exceptional engineers to help us build the backbone of the future of agent-based development. WHAT YOU’LL DO - Design and implement core systems powering the AI Gateway, including the model router, MCP gateway, and control plane - Build infrastructure that supports dynamic model selection/routing, auto-failover, cost-based routing, and policy enforcement - Own critical capabilities such as secure credential storage, session summarization, caching, and rate limiting - Develop APIs for developers building with OpenAI-compatible interfaces and the Model Context Protocol - Build the underlying infrastructure to support evaluation, telemetry, replay, and backtesting for agents and LLM workflows - Lead architectural decisions and mentor engineers as the team scales - Performance tuning - caching, session summarization, and rate limiting that keep the gateway fast under real production load - Contribute to roadmap planning, technical strategy, and cross-functional alignment KEY PROBLEMS YOU’LL HELP SOLVE - Building a unified abstraction over fundamentally different model and tool providers without leaking their differences into the developer experience - Making credential and identity handling for tool access both airtight and fast - Giving developers real-time and historical visibility into what their agents are doing, with policy enforcement that can't be bypassed - Keeping latency low and reliability high as traffic scales from early adopters to production fleets WHO YOU ARE Required Qualifications: - 6+ years of backend engineering experience with production-grade systems - Deep knowledge of distributed and highly scalable systems, cloud-native infrastructure, and API design - Experience building secure, high-throughput services (e.g., gateways, proxies, load balancers, policy engines) - Fluency in Go, and/or Rust (both preferred) - Familiarity with AI/ML platforms or model serving infrastructure - A strong product mindset—you're excited about building developer-facing tools - Ownership mentality with a bias for shipping, learning, and iterating - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience Bonus Qualifications: - Prior experience with OpenAI, Anthropic, or similar LLM APIs - Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI) - Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways - Understanding of OAuth2.1, secret management, and cloud IAM systems - Experience with Kubernetes, Docker, and microservices architecture WHY JOIN US? - Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software. - Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications. - Impact at scale: Your work will touch tens of thousands of developers building AI-first applications. - Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking. - Remote-first culture: Work from anywhere with a team that trusts and empowers you. Docker considers visa sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $160,900 – $260,700 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco, CA or Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance - so developers can focus on building incredible AI agents, not gluing together infrastructure. The Gateway sits at the center of modern AI applications, offering: - A model and tool routing layer with built-in security and cost optimization - A familiar OpenAI-compatible interface and MCP server - Unified observability and policy enforcement - Auto-RAG, tool injection, session summarization, and more We’re just getting started and we need exceptional engineers to help us build the backbone of the future of agent-based development. WHAT YOU’LL DO - Set technical direction for core systems powering the AI Gateway 0 the model router, MCP gateway, and control plane - and make sure architectural decisions hold up as usage scales by 10x - Consistently identify gaps in our infrastructure, process, or tooling before they become blockers, and drive the fix from idea to production - Take a significant, hands-on role in defining, delivering, and implementing the Gateway's technical strategy, in close partnership with engineering leadership - Own the hardest, highest-ambiguity problems in the system: dynamic model selection, auto-failover, cost-based routing, and policy enforcement that has to work end-to-end - Act as the go-to expert for secure credential storage, session summarization, caching, and rate limiting - the capabilities everything else depends on - Build the infrastructure that lets us, and our customers, evaluate, replay, and backtest agent and LLM behavior with confidence - Mentor senior and mid-level engineers, and raise the technical bar for the team through code, design review, and example - Partner with product, design, and leadership to shape not just what the control plane UI does, but where the product goes next KEY PROBLEMS YOU’LL HELP SOLVE - Define the unified abstraction layer across diverse model and tool providers (OpenAI, Anthropic, Google, AWS Bedrock) that the rest of the org builds on - Architect secure, scalable identity and credential vaulting for tool and model access, trusted enough to run at enterprise scale - Build the infrastructure for real-time and historical analytics of AI agent behavior that leadership and customers both rely on - Guarantee that policy enforcement and logging work end-to-end - from prompt to tool to response - with no gaps an auditor (or attacker) could find - Set the bar for developer experience through intuitive APIs and first-class observability WHO YOU ARE Required Qualifications - 8+ years of backend engineering experience, with a track record of owning production-grade systems at significant scale - Deep specialization in distributed systems, cloud-native infrastructure, and API design - recognized by peers and cross-functional partners as a go-to expert, not just experienced - Experience building secure, high-throughput services (gateways, proxies, load balancers, policy engines), and a history of making judgment calls other engineers rely on - Fluency in Go and/or Rust - A track record of identifying systemic gaps - in architecture, process, or tooling-— and driving the fix across team boundaries, not just within your own - A strong product mindset, with real experience shaping technical direction rather than only executing against it - Comfortable operating with wide latitude: given a problem and significant autonomy in how to solve it, including when and who to pull in - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience BONUS QUALIFICATIONS - Prior experience with OpenAI, Anthropic, or similar LLM APIs - Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI) - Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways - Understanding of OAuth 2.1, secret management, and cloud IAM systems - Experience with Kubernetes, Docker, and microservices architecture - A track record of setting technical standards that other teams or engineers went on to adopt WHY JOIN US? - Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software. - Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications. - Impact at scale: Your work will touch tens of thousands of developers building AI-first applications. - Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking. - Remote-first culture: Work from anywhere with a team that trusts and empowers you. Docker considers sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $170,350 – $275,550 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Remote - US Role Overview This is a senior individual contributor role with significant architectural ownership. You will set the technical direction for how Backblaze detects, correlates, and responds to infrastructure incidents across our data centers, and you will mentor other engineers on the team as that platform matures. If you have a passion for making complex distributed systems visible, you are comfortable making architecture decisions that will outlive your tenure, and you are excited about applying AI and agentic automation to infrastructure operations, this role was built for you.. Key Responsibilities Technical Leadership Set technical direction and standards for observability across the organization, including instrumentation conventions, alerting philosophy, and dashboard design patterns. Mentor engineers on the Observability team and act as a technical resource for SRE, Storage Engineering, and Network Engineering on observability practice. Lead design reviews for observability work and represent the team in cross-functional architecture discussions. Evaluate build-versus-buy decisions for observability and AIOps tooling, including data sovereignty and compliance considerations. Produce and maintain design documentation, runbooks, and architectural decision records that make the platform operable and extensible by future contributors. Observability Platform Own and evolve our metrics pipeline, including VictoriaMetrics, Prometheus, and the Consul-based service discovery layer that keeps scrape targets current as infrastructure scales. Own and expand our logging stack (OpenSearch, Logstash, and Filebeat) across all Backblaze data centers. Architect and expand distributed tracing with Jaeger and OpenTelemetry, extending coverage beyond the current application instrumentation to new services. Define and maintain Grafana dashboard standards for infrastructure, storage, and application performance visibility. Drive expansion of internal application telemetry in partnership with application teams to improve visibility. Define capacity and retention strategy for the telemetry stack as the fleet grows. Infrastructure & Automation Own infrastructure-as-code for observability stack deployments across multiple Kubernetes clusters. Write and review automated playbooks for configuration management and automation across Debian-based bare metal servers. Partner with the SRE team on Consul-based service discovery for VictoriaMetrics scrape target automation. Lead Ceph storage observability, including OSD health, performance metrics, and integration with alerting. Collaborate with the Network Engineering team on BGP, routing, and network-level observability. Required Qualifications 8+ years in a systems engineering, SRE, DevOps, or observability-focused role, including demonstrated technical leadership on a platform or infrastructure team. Deep hands-on experience with Prometheus, VictoriaMetrics, or equivalent metrics platforms, including PromQL, Alertmanager, and operating these systems at scale. Experience designing and operating log aggregation pipelines such as Elasticsearch/OpenSearch, Logstash, Filebeat, or similar. Working knowledge of distributed tracing (Jaeger, OpenTelemetry, or equivalent), including instrumentation strategy, not just operation. Proficiency in Python and/or Go for automation and tooling. Experience with Kubernetes, including deploying workloads and understanding pod networking and storage. Experience with infrastructure-as-code tooling and configuration management. Strong understanding of Linux internals, with Debian/Ubuntu preferred. Demonstrated experience mentoring engineers and raising the technical bar on a team. Excellent written and verbal communication skills. You'll work across engineering, SRE, security, and leadership, and you'll be expected to write design documents that drive decisions. Preferred Qualifications Experience leading the evaluation or deployment of AIOps tooling, including alert correlation, deduplication, or automated root cause analysis. Experience building, deploying, or operating AI agents or agentic AI systems. This is a strong differentiator. Familiarity with LLM APIs (Anthropic, OpenAI) or self-hosted LLM inference in an infrastructure context. Familiarity with Ceph storage, including OSD management, pool configuration, and CRUSH maps. Experience with incident management platforms. Familiarity with BGP, network observability, or working in multi-DC environments. Experience with secrets management in production environments. Experience operating in a regulated or compliance-driven environment. Prior experience in a storage-focused company or hyperscale infrastructure environment. What You'll Work On A telemetry stack spanning several data centers with exabytes of storage under observation. Real infrastructure at scale: Kubernetes, Ceph, Vitess, KVM, and a custom storage platform serving hundreds of thousands of customers. A collaborative team that values engineering excellence, transparency, and operational rigor. Pay Transparency To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. Final offer amounts are determined by multiple factors including candidate location, skills, depth of work experience, and relevant licenses/credentials. The expected salary range for this role is $178,000 - $200,000 plus 10% target annual bonus and RSUs. At Backblaze, we value being fair and good to our customers, partners, and employees. Diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We are proud to be an Equal Opportunity Employer.

Location: UK: London (7 Devonshire Square) Workplace: Hybrid The role & impact As an Engineering Manager, you will drive the delivery of high-quality software by leading a high-performing inclusive team. You will act as the technical anchor, balancing predictable roadmap delivery with a relentless focus on team growth, technical excellence, and system health.   Your work requires a delicate balance between short-term product delivery velocity and long-term operational excellence. You will guide your team to hone their craft, champion AI-native workflows, and resolve complex technical challenges to deliver impactful outcomes that align with business and customer goals.   The team & how they connect You will lead a results-driven team that operates with clear goals and ownership, fostering a high-trust environment where "blameless" problem-solving is the norm. The team works closely with Product and Design partners to shape solutions that truly matter to our customers.   The team is currently working on - Modernising architectures and improving CI/CD maturity to reduce operational risk.   - Embedding AI-native engineering workflows across the SDLC to boost velocity and reduce toil.   - Refining system design and architecture for high-scale, high-availability distributed systems.   - Driving visibility into system health and technical debt to enable proactive improvements.   Where and how you can work Xero is a Great Place to Work UK accredited company. We offer remote, hybrid or office based roles (hybrid and in-office in London, Milton Keynes or Manchester). Our offices offer boost days for connection and collaboration.   Here are some of the things we are looking for - Extensive professional software engineering experience, with a proven track record of technical maturity and delivering complex systems.   - Demonstrated experience leading, coaching, and performance-managing engineers, including building and improving team capability over time.   - Proven track record of translating business goals into executable engineering plans, balancing short-term delivery with long-term sustainability.   - Hands-on experience writing, reviewing, and debugging production code, with the technical credibility to guide engineering decisions.   - Experience building and supporting high-scale, high-availability distributed systems, including leading or overseeing incident response.   - Experience leading teams in the adoption of AI-native engineering workflows to improve developer productivity and quality.     Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Join a Great Place to Work-Certified™ company where your voice matters.