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

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. As a member of the Production Operations Engineering team within the platform technology group, you will help keep key user experiences on the platform available, resilient and high performing across time zones and critical business periods, while continually enabling our service teams to deliver new and exciting products and technical features. The team is trusted to respond when production services need support, including through rotational on-call, incident response and urgent operational escalations. You will be empowered to define and lead technical initiatives, helping identify and proactively drive improvements in process, technology and production operations supporting millions of users. This Staff individual contributor role carries broad technical ownership: a recognized expert and hands-on system architect whose decisions shape reliable production services across multiple partner teams. The ideal candidate brings deep full-stack engineering and production experience, strong automation instincts, cloud/container operations expertise, incident leadership, and curiosity for using AI-assisted workflows to improve operational quality, release confidence and delivery speed. Responsibilities: Lead application operations and production support for internal and public-facing services in AWS and container environments, with focus on availability, resiliency, scalability, performance and security. Define and evolve production operations architecture, readiness standards and reusable patterns for services/features, including automation, monitoring, runbooks, rollback plans and operational acceptance criteria. Architect and scale tools, scripts and automation frameworks across API/service telemetry, release validation and operational readiness to reduce toil and improve incident response. Establish CI/CD operational gates, production validation practices and governance mechanisms that improve release confidence, scalability and engineering velocity. Advance observability, event correlation and operational metrics using service health signals, automation health, release risk indicators, dashboards and alerts that reduce MTTD and MTTR. Partner with SRE, data services, CI/CD, service engineering, platform hosting, product and business teams to shift reliability left and improve shared ownership of production quality. Lead performance, capacity, infrastructure modernization and cost optimization for services using AWS, Kubernetes, EKS/UKS, autoscaling and related cloud patterns. Use AI-assisted and agentic tools, such as Codex, Claude, Cursor or similar, to accelerate development, operational automation and production-signal analysis. Provide rotational on-call support and improve incident workflows using Slack, JIRA, ServiceNow, BigPanda and related escalation systems; lead RCA and systemic fixes for recurring production issues. Key Qualifications: Staff-level hands-on engineer equally comfortable with software development, systems engineering, production operations and service architecture. System Architect and full-stack engineer who connects customer experience, application behavior, APIs, data flows, infrastructure and operational controls into resilient designs. Proven ability to define operational standards, quality gates, reusable frameworks and governance practices across teams. Independent technical leader who influences cross-functional partners, mentors engineers and drives adoption of scalable practices. Strong systems-thinking and troubleshooting depth across runtime, cloud, Kubernetes/EKS/UKS, network, observability, release and incident layers. Required Skills: Distributed service architecture and operations, Unix/Linux systems internals, networking, TCP/IP, HTTP/HTTPS, DNS, load balancing and API troubleshooting. AWS service operations, including ALB, Route 53, API Gateway, Lambda, RDS, DynamoDB, ElastiCache and Java/API services. Containers and orchestration, including Docker, Kubernetes, EKS/UKS and Fargate. Automation and software development in Python, Go or Java; source control and configuration management using GitHub/Git, Ansible, Chef or similar. Infrastructure as Code and CI/CD using Terraform, CloudFormation, Jenkins, Spinnaker or comparable tooling. Observability, incident management and collaboration tooling such as Datadog, CloudWatch, Splunk, Grafana, BigPanda, Slack, JIRA and ServiceNow. Strong communication skills with the ability to adjust messaging by audience, translate complex technical issues for cross-functional business partners, and articulate both technical detail and customer/business impact. Data reporting, analytics or operational data platforms such as SQL, MySQL, Oracle, Snowflake or big data systems. AI-assisted development or agentic engineering workflow experience using tools such as Codex, Claude, Cursor or similar. Experience: BS degree or equivalent in Computer Science, Software Engineering or related technical area. 10+ years operating and supporting services in production environments at scale. 5+ years AWS Cloud experience deploying, tuning and operating Java/API services. Hands-on incident management experience, including on-call, incident coordination, stakeholder communications, RCA and corrective-action tracking. Payment processing, commerce, entitlement, wallet, fraud or financial systems experience is a plus. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $199,400 — $299,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice 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: Bengaluru, India Workplace: Remote ABOUT AVOCA Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers. We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office. In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact. Must be available to work during Eastern Time Zone (EDT/EST) business hours ABOUT THE ROLE We're looking for a highly technical Deployment Engineer to join our remote team. As a DE, you'll embed directly with customers — understanding their operations, designing tailored AI solutions, and deploying systems that deliver immediate impact from day one. You'll take ownership of deployments, integrations, and operational support of Avoca's voice agent products in live customer environments, operating with high autonomy in ambiguous, high-stakes situations. This role requires deep technical expertise, strong root-cause diagnosis skills, and exceptional communication to keep our solutions running reliably in production. WHAT YOU’LL DO - Embed with customers to understand their operations and deliver working AI solutions from day one - Deploy, integrate, and maintain Avoca's voice agent products within complex customer infrastructure - Build and maintain the infrastructure behind conversational AI — APIs, integrations, monitoring, and feedback loops - Diagnose production issues and perform deep root-cause analysis across distributed systems, APIs, and LLM-powered workflows - Translate business requirements into technical architectures and deployment plans - Identify patterns across deployments and feed insights back into the product roadmap - Monitor and optimize product performance in production, working directly with LLMs and distributed systems - Communicate complex technical issues clearly to both technical and non-technical stakeholders - Document solutions, best practices, and troubleshooting processes to raise the whole team's operational bar WHAT YOU'LL BRING - 2+ years of software engineering experience, preferably backend or systems-focused - Proficiency in Python (TypeScript/JavaScript a plus) - Hands-on experience with microservices architectures, APIs, SQL/NoSQL databases, networking, and distributed systems - Familiarity with major cloud providers (AWS, GCP, or Azure) - Experience diagnosing and debugging production systems and integration environments - Strong communicator, able to work with both technical and non-technical, customer-facing stakeholders - Experience with LLMs, prompt engineering, vector databases, or AI agent frameworks - Customer-facing technical experience is a plus - Ability to work remotely while collaborating with a high-performing team across US time zones   WHY AVOCA At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact. Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

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

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

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Business Development Representative at Anthropic, you'll drive the adoption of safe, frontier AI by optimizing our lead management processes and identifying new market opportunities. In this pivotal role, you'll enable our sales team to focus on high-value, revenue-generating activities by leveraging your analytical skills, project management expertise, and strategic thinking. Your role is critical in streamlining our sales pipeline and uncovering untapped potential in the AI market. Responsibilities: Maintain full ownership of pipeline generating activities in your sales territory Collaborate with sales teams to understand their needs and optimize lead handoff processes Manage and prioritize a high volume of inbound leads Conduct initial qualifications for high-potential leads Outbound against strategic prospects to generate high-intent opportunities with Startup and Enterprise teams Support the development and execution of strategic outbound initiatives Provide data-driven insights to inform sales strategies and resource allocation Continuously refine processes to improve efficiency and effectiveness You may be a good fit if you have: 2-3+ years of experience in a fast-growing startup, preferably in lead management and project management roles or 2-3+ years of experience in a field like finance & investment banking, consulting or software engineering Strong analytical skills with the ability to translate data into actionable insights Experience with Salesforce, HubSpot, and SQL (preferred) Excellent communication and interpersonal skills Ability to work in a fast-paced, dynamic environment Passion for AI/ML and understanding of API-first or consumption-based business models Bachelor's degree in Business, Marketing, Computer Science, or related field The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $116,480 — $131,040 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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, Canada; Remote, United Kingdom; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an AI Transformation Owner at GitLab, you'll shape your function's AI strategy and build the solutions that deliver it. You are the person responsible for identifying where AI can fundamentally change how your org operates, partnering with your Executive Sponsor to align on the biggest challenges, and driving measurable outcomes against them. Think of this as a product management role where the product is your org's way of working. You'll manage the full lifecycle: understanding how work flows today, deciding where AI should reshape it, prioritizing what gets built and in what order, and ensuring what ships actually gets adopted. You'll also prototype solutions, configure agents, and prove what's possible before pulling in engineering support to scale it. You will work closely with an AI Engineer who sits within the Enterprise AI team. Together you form a partnership: you bring the business context, process intelligence, and strategic prioritization. They bring the technical depth, production-grade delivery, and architecture decisions. You'll build working solutions at the no-code and low-code layer, and partner with the AI Engineer on the right approach, tooling, and structure. What you'll do Strategy & Prioritization Own your function's AI strategy, aligned with your Executive Sponsor and business priorities. Understand which metrics matter to the org, identify what will move the needle, define how you'll measure impact, and track progress over time. Map how work flows across your function end-to-end, including the handoffs upstream and downstream to other orgs. Identify where the real constraints are, not just the ones your team can see. Focus on the 100x problems: where could leveraging AI in a workflow let your org execute it orders of magnitude faster, or at 100x more volume than before? Manage intake of AI requests, ideas, and pain points from across the function, including via your Champion network. Ensure every team member has a clear route to surface what they need, rather than building independently. Prioritize strategically against business outcomes and executive guidance. Hold the line on priorities - we cannot change direction every two weeks - and ensure the AI Engineer's time is spent on the highest-impact work. Adoption & Change Management Reimagine, not just automate. Challenge your org to think beyond injecting AI into existing workflows. Work with Enterprise AI to spot opportunities to fundamentally rethink how work gets done. Drive adoption and change management together with the AI Engineer. The best AI solution is worthless if nobody uses it. Create the channels, rituals, and feedback loops that make AI visible in your function: shared spaces for teams to show what they've built, regular office hours, onboarding for new hires, and celebration of wins. Own the rollout and iteration needed to make AI initiatives stick. Coordinate with Enterprise AI to ensure your function benefits from patterns, tools, and learnings emerging across other parts of the business. Build and bridge the Champion network in your function. Champions are the peer community that extends your reach beyond what you and the AI Engineer can deliver directly. From early in the role, identify and recruit Champions across sub-teams (5-10% time, formally agreed with their manager), run a regular Champion sync, host demos to the wider function, and act as their bridge to Enterprise AI. Champions are not your reports: you coordinate them, you don't manage them. Without this network, your reach is capped. Hands-On Building & Agent Operations Build AI agents using no-code and low-code platforms (e.g. Glean, Workato, similar tools). Go from idea to working prototype without waiting for engineering. Author and iterate on skills files that define how AI agents behave. Refine instructions based on real usage and share reusable skills across the function. Configure MCP servers and tools, giving agents access to the business systems they need. Partner with the AI Engineer on what to connect and how to do it securely. Own your function's fleet of agents. Some agents will be used directly by people in your org. Those that aren't, you own. Either way, you're accountable for their performance: tracking KPIs, running evaluations after model or data changes, and iterating based on what you learn. Expect to rebuild. AI tools and models evolve fast. The agent you built last month may need to be replaced, not patched. You should be comfortable sunsetting your own work when a better approach emerges, and helping your org stay current rather than attached to what exists today. What you'll bring Business & Strategic Deep knowledge of your function's operations. You understand how work moves through your org, where it gets stuck, and why. You can trace a process end-to-end and explain how it connects to the teams around it. Strategic prioritization skills. You've managed competing demands before and can make hard calls about what matters most. You think in terms of business outcomes, not activity. A product management mindset. You naturally think about intake, backlog, iteration, and adoption. You're comfortable defining success metrics and holding yourself accountable to them. Strong communication and influence. You'll be the person saying "not yet" to some teams and "think bigger" to others. You need the credibility and interpersonal skills to make both of those conversations land. Cross-functional instincts. You default to understanding how your org's processes affect and are affected by the teams around you - not just optimising in isolation. Experience building peer networks or communities of practice. You've recruited and sustained volunteer contributors before, whether as a guild lead, champion program owner, or community organizer. You know how to motivate people whose time you don't directly own. Hands-On & Technical Comfortable building with AI tools. You don't need to write production code, but you should be able to build a working agent, configure a skill, connect an MCP server, and troubleshoot when something isn't working. Think: power user, not software engineer. Ready to learn fast. Experience with or willingness to quickly pick up no-code/low-code AI platforms, prompt engineering, and agent configuration. You'll be trained on GitLab's specific tooling, but you should arrive ready to get your hands dirty. Strong conceptual understanding of AI capabilities - summarization, classification, generation, automation, agentic workflows - and a commitment to staying current. The landscape shifts constantly. The tools you use today may be obsolete in weeks. You stay on top of new developments so that your org's AI strategy reflects what's actually possible, not what was possible six months ago. Ability to map data flows - structured and unstructured. Understand where agents need context, and figure out where humans should interface with automated workflows and at what steps. About the team You will partner closely with Enterprise AI within the Enterprise Technology & AI organization, while remaining embedded in your own function. Enterprise AI provides the technical delivery capability, platforms, and patterns. You provide the business context, prioritization, building at the no-code layer, and adoption muscle. Together, you form the core of your function's AI transformation. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $203,200 — $345,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic’s Data Center team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and vendors to stand up facilities that can reliably cool some of the largest accelerator clusters in the industry. As a Senior Data Center Mechanical Engineer based in the United States, you’ll lead the design direction and technical oversight of building mechanical systems — cooling, chilled-water distribution, liquid cooling, plumbing, and fire protection — across our rapidly expanding U.S. portfolio. This is a senior individual contributor role focused on driving and reviewing mechanical design from concept through detailed design and construction documentation produced by external engineering firms and development partners, ensuring every facility meets Anthropic’s standards for reliability, efficiency, and scalability. You’ll own the mechanical design direction from Basis of Design through construction and commissioning, serving as the primary technical interface between Anthropic’s internal teams and our external engineering and development partners. A central part of this role is speed-to-capacity through prefabrication and modular construction — modular cooling skids, prefabricated piping assemblies, and design for offsite manufacture that compress schedules and reduce onsite labor. You’ll bring deep familiarity with U.S. mechanical, plumbing, and fire codes and the local regulatory environment, and ensure the cooling architecture keeps pace with rapidly increasing rack densities and the shift toward direct-to-chip liquid cooling. Strong candidates will bring deep mission-critical mechanical design experience and the judgment to make sound trade-offs when the standard playbook doesn’t apply. Responsibilities Design direction & review Drive mechanical design concepts for data center cooling plants, chilled-water distribution, liquid cooling (direct-to-chip and CDUs), plumbing, and fire protection systems. Review and direct design drawings, specifications, and construction documentation produced by external engineering firms, ensuring alignment with Anthropic’s Basis of Design and owner requirements. Evaluate design submittals, shop drawings, and equipment selections; respond to RFIs with clear technical direction. Identify design conflicts and drive resolution across mechanical, electrical, and controls disciplines. Maintain and evolve Anthropic’s internal mechanical design standards and reference configurations. Prefabrication & modular delivery Drive Anthropic’s prefabricated and modular mechanical strategy — modular cooling skids, prefabricated piping and pump assemblies, and design for offsite manufacture and onsite assembly — to accelerate deployment and reduce onsite labor. Drive standardization of modular mechanical designs across sites while preserving flexibility for site-specific constraints and evolving hardware generations. External partner & vendor coordination Serve as the primary mechanical engineering point of contact for external developers, design engineers, and construction partners across the U.S. portfolio. Develop scopes of work, equipment specifications, and bid packages for mechanical infrastructure. Perform technical due diligence on third-party and colocation facilities, evaluating mechanical designs against program requirements and redundancy targets. Coordinate with equipment vendors and manufacturers on cooling system procurement, including chillers, CDUs, pumps, and piping assemblies, and partner with supply chain to mitigate lead-time and single-source risk. Construction & commissioning Monitor mechanical system installation for compliance with design intent, applicable U.S. codes and standards, and industry best practice. Conduct site visits to review progress, resolve field issues, and validate construction quality; travel to sites across the region as needed. Support testing and commissioning of mechanical systems; analyze data and troubleshoot issues against design intent. You may be a good fit if you Have 10+ years of experience designing building mechanical systems for data centers or mission-critical facilities, across the project lifecycle from concept design through construction, commissioning, and handover. Have deep familiarity with U.S. mechanical, plumbing, and fire codes and standards — including the International Mechanical Code (IMC), International Plumbing Code (IPC), International Energy Conservation Code (IECC), International Building Code (IBC), NFPA 13 (automatic sprinkler systems), ASME B31 piping codes, and applicable state and local amendments, alongside ASHRAE guidance (incl. TC 9.9). Have strong knowledge of chilled-water systems, air-cooled cooling plants, liquid cooling (direct-to-chip and CDUs), and redundant piping configurations. Have hands-on experience with prefabricated and modular mechanical infrastructure — modular cooling skids, prefabricated piping assemblies, and design for offsite manufacture. Have experience driving and reviewing mechanical design work produced by external engineering consultants, and are proficient reading and marking up construction drawings, P&IDs, and single-line diagrams. Hold a bachelor’s degree in Mechanical Engineering; a Professional Engineer (PE) license (or eligibility) is valued but not required. Communicate clearly and can drive technical decisions across internal teams and external partners, and are results-oriented with a bias toward practical solutions. Are able to travel up to ~30% to data center sites across the region. Strong candidates may also have 15+ years of experience designing building mechanical systems for data centers or mission-critical facilities. Direct project experience delivering data centers in multiple U.S. markets (e.g., Virginia, Ohio, Texas, Arizona, Oregon). Experience with thermal-hydraulic modeling software (AFT Fathom, Cadence 6SigmaET, ANSYS, or similar), CFD modeling, and energy analysis. Familiarity with controls/BAS systems and sequences of operation for cooling plants. Experience preparing SOWs, facility audits, and TCO analyses. A track record building modular prefabricated products in mechanical or electrical areas of the data center, and driving designs toward offsite manufacturing. Proficiency with Revit MEP or AutoCAD MEP. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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

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

Location: Remote Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io.   Why This Role Is Important to Arcadia At Arcadia, the Enterprise Implementation Manager (EIM) is the customer's primary point of accountability from contract signature through the life of the relationship. The EIM manages a portfolio of enterprise accounts, leading each customer through onboarding and the technical work required to bring them live — including project managing new data connector builds — but the role exists to protect and grow the value the customer realizes from Arcadia's platform. EIMs proactively build the client relationship, drive adoption, resolve risk before it threatens retention, and act as the customer's trusted advisor long after go-live, ensuring customer value is clearly tracked & regularly reviewed. The ideal candidate is a relationship-first operator: someone who can run a technical delivery workstream competently, but who is just as comfortable owning a client conversation, coaching a teammate, or spotting an account risk before it becomes a retention problem. What Success Looks Like In 3 months Complete onboarding and current product and enablement certifications; build a working understanding of the platform, data model, and Arcadia's customer success playbooks. The optional Arcadia Certified Professional program is available for continued growth. Shadow tactical client touchpoints and status conversations to learn how EIMs build trust and manage expectations across a client relationship Take ownership of a defined workstream — for example, project managing a new data connector build — with support from your manager and technical partners In 6 months Independently manage cross-team workflows (data integration, configuration, connector builds) while keeping priorities visible and surfacing risk early Lead tactical client conversations and standing touchpoints, delivering clear, timely updates that keep stakeholders aligned and confident Proactively identify and escalate delivery or account risk, applying established playbooks to resolve issues efficiently and maintain momentum Begin building trusted relationships with client stakeholders, understanding their unique technical and business priorities Contribute to Quarterly Business Reviews (QBRs), Executive Business Reviews (EBRs), or steering committees for your accounts, and become fluent in maintaining account health scores in Planhat Build fluency with Arcadia's customer feedback channels, including the Customer Satisfaction Score (CSAT), as part of engaging your accounts In 12 months Own a portfolio of enterprise accounts as the primary point of contact — coordinating delivery, connector project management, and ongoing value acceleration & account health under one roof Drive accountability for on-time, high-quality delivery of commitments, from new data connector implementations to platform adoption milestones Independently lead recurring QBRs, EBRs, or steering committees, and own the Planhat health score and NPS trajectory for your portfolio, working toward a consistently green status Partner effectively with the Customer Growth and Retention (CGR) team on renewal and expansion conversations, providing account context and continuity while CGR owns the commercial process Identify and document process or value improvements, contributing refinements that strengthen delivery consistency and customer outcomes Share lessons learned and best practices with peers, informally mentoring newer EIMs and Project Associates What You'll Be Doing Customer Relationship & Trust Own a portfolio of enterprise accounts, serving as the customer's primary point of contact throughout the engagement. Lead tactical status conversations and standing project meetings, delivering clear, timely updates on progress, risk, and next steps. Facilitate regular touchpoints to align priorities, answer client questions, and maintain stakeholder trust. Prepare accurate, client-ready documentation and materials that support transparent communication. Account Health & Governance Serve as the customer's primary point of accountability for delivery outcomes and overall account health across your portfolio. Lead recurring QBRs, EBRs, or steering committees with client leadership, tying progress to shared goals, ROI, and next steps. Maintain each account's health score in Planhat, incorporating usage, engagement, and other signals; own the goal of moving accounts toward a consistently green status. Contribute to your segment's (Core, Enterprise, or National) Net Promoter Score (NPS), which factors into incentive compensation at the segment level rather than by individual account. Build fluency with Arcadia's customer feedback channels — including CSAT — as part of the company's growing Voice-of-Customer program. Partner with the CGR team on renewal and expansion conversations, providing account context, continuity, and delivery insight; CGR owns the commercial renewal and upsell process. Proactively identify and escalate delivery and account risk; apply established playbooks to resolve issues efficiently. Maintain project and account momentum through consistent follow-through and clear ownership of open items. Drive accountability for commitments by managing dependencies and communicating progress across all workstreams. Implementation & Data Connector Project Management Project-manage new data connector builds and platform configuration workstreams from kickoff through validation and go-live. Ensure smooth data orchestration through configuration validation, and maintain detailed documentation of process flows and integrations. Partner cross-functionally with Data & Health Platform (DHP) teams and engineering to resolve data alignment issues and strengthen reporting reliability. Cross-Functional Coordination Manage workflows to maintain alignment and efficiency across internal teams, third parties, and the client. Coordinate delivery activities and track interdependencies so priorities stay visible and risks surface early. Ensure project team collaboration and escalate promptly if a workstream is tracking behind. Value Realization & Continuous Improvement Identify and document process or workflow enhancements that improve customer outcomes and internal efficiency. Contribute to continuous improvement by sharing refinements and strengthening knowledge capture across projects. Connect delivery and account activities to the customer's broader adoption and value-realization goals. Coaching & Knowledge Sharing Share lessons learned and best practices from client engagements with peers and newer team members. Apply feedback to continuously refine your own skills and performance, modeling a growth mindset for the team. AI & Technology Fluency Thoughtfully leverage AI and emerging technologies to improve outcomes, increase efficiency, and enhance decision-making across your portfolio — for example, in health-score analysis, QBR preparation, and account documentation. Apply sound judgment around risk, privacy, security, and quality when using AI tools, and continuously build fluency in evolving practices. What You'll Bring Bachelor's degree in a related field. At least 3 years leading account implementation and customer success processes in software/technology, ideally in healthcare, with claims and clinical data integration experience. In-depth knowledge of project management & customer success principles, tools, and methods; ability to identify and mitigate project- and account-level risk. Extensive healthcare industry experience, including population health and value-based care; ability to master Arcadia's solutions, client strategic context, and industry trends well enough to advise clients as a trusted partner. Demonstrated ability to own a portfolio of client relationships over time — not just a project — including retention-oriented communication and stakeholder management. Willingness and ability to travel to client sites, executive business reviews, and industry conferences — typically quarterly, with increased frequency depending on client activity and event schedules. Would Love for You to Have Excellent presentation and communication skills, including the ability to build client-ready materials in PowerPoint, Excel, and Word, and lead meetings with executive, operational, clinical, and technical stakeholders. Experience with customer health/success platforms (e.g., Planhat) and account health-scoring methodologies. Experience partnering with a growth, renewal, or account management team on commercial conversations without owning the commercial process directly. Strong problem-solving, interpersonal, and organizational skills. A team-first attitude and the ability to foster collaboration within and across project teams, including remote teams. Experience coaching or informally mentoring less experienced teammates. What You'll Get Competitive compensation and strong benefits, including Flexible Time Off Employee-driven programs and initiatives for personal and professional development. Membership in the talented, energized, diverse, and purpose-driven Arcadian Community Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care. About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.   Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.   This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Go To Market ("GTM") Systems builds and runs the platform that Sales and contracting operate on, a production Salesforce org plus a growing portfolio of custom internal applications and agents. These systems process revenue-impacting transactions, guide critical business processes, and produce data the rest of the company runs on. Today the path from request, development, test, and pull request to production push is manual and slows the team down rather than speeding it up. We are hiring a DevOps / AgentOps engineer to build and run that path. You will stand up and maintain an AI-first CI/CD pipeline covering both Salesforce and custom application code. This release pipeline will support three modes: fully agentic, human-in-the-loop, and AI-assisted. Anthropic is an unusual place to do this. Our own frontier models are part of the toolkit and the question we want you to answer is what a delivery system looks like when you design it for agents and humans working side by side rather than retrofitting agents into a pipeline built for humans alone. You will work closely with a team of business systems analysts, software engineers, and integration engineers to develop the solution to accelerate their everyday work. The pipeline you build is the one path to production for a system under audit, so the guardrails, approvals, and audit trail are part of the product, not an afterthought. Key responsibilities Design, build, and operate the CI/CD pipeline for a production Salesforce org and a portfolio of custom internal applications, from branching and validation through deploy and rollback Define how a change is classified and routed into an agentic, human-in-the-loop, or AI-assisted lane, what gates each lane passes through, and how a change escalates between lanes when validation fails or risk changes Build the agent operations layer: what agents are scoped to do in the pipeline, what tools and permissions they hold, how they are sandboxed differently for Salesforce and custom-app work, and what they are not trusted to do unsupervised Implement approval workflows that keep PR review and business sign-off as distinct gates, with clear rules for which changes need which, who is asked, and what evidence they see Own environment strategy, secrets handling, deploy observability, and kill-switch and rollback mechanics across all three lanes Produce the audit trail and evidence a SOX-scoped platform needs Measure and report on the pipeline itself: lead time, failure rate, share of work moving through each lane, and where humans are still doing work an agent should be doing Pair with engineers on the team as they move onto the pipeline, and turn what you learn from them into better defaults Minimum qualifications Have built and run a CI/CD pipeline for a team, including the branching model, merge gating, and rollback path, and can explain the choices you made and what you would change Have hands-on experience with Salesforce deployment mechanics (metadata API, source-tracked development, org-to-org promotion) or a comparable enterprise platform Work fluently with AI coding tools and agentic workflows, and have opinions about which kinds of engineering work belong in the hands of an agent, which need a human review, and where the boundaries are Design for the failure case: you think about blast radius, sandboxing, permissions, and what happens when an automated change is wrong before you think about the happy path Are comfortable working across GitHub Actions or a comparable CI system, infrastructure as code, and the scripting needed to glue platforms together Write clear design documents and can defend a design to engineers, business approvers, and auditors in language each of them will accept Preferred qualifications Have shipped agents or automation that operate inside a production system of record, and have dealt with what happens when they misbehave Have operated a platform under SOX or a similar audit regime and know what evidence a change-management control actually requires Have experience with Salesforce DevOps tooling (Gearset, Copado, sfdx-based pipelines) and know where those tools stop and custom work begins Have run a migration from ad hoc or manual deploys to a governed pipeline and can talk about how you kept a team shipping while you did it Have built approval or notification workflows in Slack or a comparable tool that people actually used The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: UAE About the Role We're looking for a Partner Sales Director-MEA, based in the UAE. This is a high-energy, relationship-driven professional who can accelerate revenue by driving partner-sourced and partner-influenced sales across ClickHouse's Middle Eastern partner markets. This is a quota-carrying role responsible for working hand-in-hand with our field sales teams and strategic partners, including system integrators (SI's & FSI's), ISVs, and channel partners across the Middle Eastern partner markets to identify, influence, and close new opportunities. You'll also play a key role in expanding and deepening our partnerships throughout these markets, helping source new opportunities, develop joint solutions, and ensure successful project delivery. The ideal candidate is a self-starter with strong sales instincts, partnership acumen, and executive presence. We are looking for someone who can think strategically while executing rigorously to deliver incremental revenue and pipeline growth across the Middle East. What You'll Do - Own and deliver against a revenue quota for partner-sourced and partner-influenced bookings across the Middle Eastern partner markets. - Collaborate closely with the field sales teams to integrate partners into key account strategies and deal cycles. - Build and execute strong joint sales motions with SIs, FSI's, ISVs, and channel partners to expand ClickHouse's reach and accelerate pipeline across these markets. - Serve as the primary partner sales interface for the Middle Eastern partner markets, ensuring alignment between regional sellers, partners' field teams, and global partner programs. - Develop and execute joint account plans, campaigns, and demand-generation activities with priority partners across these markets. - Drive joint forecasting, pipeline visibility, and reporting to ensure partner contributions are tracked and recognized. - Identify, onboard, and develop strategic system integrator (SI) and ISV partnerships that can both source new opportunities and deliver successful implementations. - Define joint GTM plays, delivery frameworks, and enablement paths to ensure scalable, repeatable customer success. - Collaborate with internal and external stakeholders to drive SI and ISV delivery readiness and certification. - Work closely with the global and regional Partner, Sales, and Marketing teams to ensure alignment of partner strategy, programs, and field execution across these markets. - Collaborate with Product and Solutions Engineering to support partner-led projects, and proof-of-concepts. - Serve as the voice of the Middle Eastern partner ecosystem, providing feedback and insights to shape ClickHouse's broader partner strategy. - Maintain accurate partner pipeline data, revenue forecasts, and performance metrics. - Lead quarterly business reviews (QBRs) with key partners and internal stakeholders. - Continuously refine partner engagement models based on data-driven insights and field feedback. Who You Are - Experienced Sales & Partnerships Professional: 10+ years in enterprise software sales, channel sales, or strategic alliances; ideally in cloud, data, or analytics space. - Quota-Carrying Performer: Demonstrated success meeting or exceeding sales and revenue targets through partner ecosystems. - Partner-Savvy: Deep understanding of SI, FSI, and ISV partner models — including co-sell, marketplace, and resale motions. - Strategic + Tactical Operator: Can develop GTM strategy and also roll up sleeves to drive execution with field and partner teams. - Strong Communicator & Influencer: Excellent verbal, written, and presentation skills; comfortable engaging both internally and externally at executive levels. - Relationship Builder: Skilled at navigating complex partner organizations, aligning incentives, and building long-term, trust-based relationships. - Self-Starter with Grit: Operates autonomously, thrives in high-growth environments, and drives outcomes without heavy structure. - Collaborative Team Player: Works seamlessly across sales, marketing, product, and partner functions; coachable and open to feedback. #LI-DNI PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Remote - US, Pacific Northwest MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. We're looking for a Partner Manager to join our growing team and help build out our channel partner ecosystem in the United States. This is a great opportunity for a partner management professional with a few years of hands-on experience who's ready to take on more ownership, work closely with senior leadership, and grow their career in a fast-moving, high-growth environment. What You Will Do: Channel Development: Identify, recruit, and onboard new channel partners to expand MinIO's market presence. Nurture and develop existing channel relationships for mutual growth and success. Grow Partner-led opportunity Pipeline & achieve Partner Attached ARR targets. Strategic Planning: Collaborate with internal teams to align channel strategies with overall business objectives. Develop and implement strategic plans to drive joint marketing, sales, and product initiatives with channel partners. Partner Enablement: Provide training and resources to channel partners to enhance their understanding of MinIO's solutions and optimize their sales capabilities. Collaborate with partners on go-to-market strategies and co-selling opportunities. Performance Analysis: Track key performance indicators (KPIs) to measure the success of channel partnerships. Analyze data and feedback to identify areas for improvement and optimize partner performance. Maintain an accurate pipeline and forecast of your partner’s MinIO business opportunities. Collaboration and Communication: Foster open lines of communication between MinIO and channel partners to ensure a seamless and productive relationship. Coordinate cross-functional teams to address partner needs and resolve any issues promptly Close collaboration with the Sales & customer-facing team to drive Partner-attached opportunities to closure. Your Skills and Experience: Bachelor's degree in Business, Engineering, Marketing, or a related field. 5+ years of proven experience in channel partner management, within the technology and storage industry with deep experience in software defined services Deep understanding of the US market and channel dynamics. Excellent communication and interpersonal skills. Strong analytical and strategic thinking abilities. Ability to work collaboratively in a fast-paced and dynamic environment. What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. Team Description The Technical Account Management team ensures customers realize long-term value from their 1Password investment. We combine technical expertise with customer advocacy, guiding organizations from implementation through adoption, expansion, and renewal. Our team partners closely with Onboarding and Implementation, Customer Success Managers, Product, Support, and Enablement to ensure customers experience a seamless journey post-sale. We are customer-obsessed, technically curious, and committed to building deep, trusted partnerships that help organizations succeed securely with 1Password and moving with urgency to solve what matters most. Summary As a Senior Technical Account Manager, you’ll own the technical side of the post-sale customer lifecycle. You’ll guide implementations, drive adoption, and act as a trusted technical advisor on identity, access, device trust, and SaaS security, driving tangible outcomes for our customers and helping shape the future of access management. You’ll take on strategic accounts, mentor peers, and influence how we scale customer engagement, processes, and best practices across the organization. You’ll balance technical depth with business acumen, always with an eye on driving customer value and retention. WHAT WE’RE LOOKING FOR - 6+ years in a customer-facing technical role (Technical Account Manager, Solutions Architect, Solutions Engineer, or Implementation Consultant) within a SaaS or security focused B2B environment. - Proven ability to lead technical onboarding and implementation conversations with both technical and business stakeholders throughout the entire post-sale journey. - Strong communication, storytelling, and demo skills. You are able to translate complex technical concepts into clear business value. - Experience driving customer adoption, expansion, or renewal through proactive technical engagement. - Strong understanding of modern security frameworks SOC 2, ISO 27001, and GDPR) and identity protocols (e.g. SSO-SAML/OIDC, SCIM). - Advanced real-world experience with various SaaS products and cloud-based infrastructure, Docker, Kubernetes, and command-line interfaces to name a few. - Previously working in or adjacent experience to the DevOps space. - Experience working directly with scripting/automation or software development. - The ability to take on new technologies with the challenges they bring and quickly become a subject matter expert for the rest of your team. - Ability to work independently in a remote-first environment, while collaborating cross-functionally. - Familiarity with AI technologies and the ability to advise customers on evolving product roadmaps. - Experience mentoring peers, shaping enablement, and improving customer lifecycle processes. - Experience with 1Password (or other password managers), SaaS lifecycle management, MDM or device posture tools is a strong plus. What You Can Expect - Own post-sale technical relationships, guiding customers from onboarding through adoption and renewal. - Lead technical implementation, including integrations, configuration, and security reviews. - Act as the technical advisor for assigned accounts, ensuring customers are set up for long-term success. - Partner with Customer Success Managers to proactively identify risks, drive expansion opportunities, and maximize customer value. - Contribute to strategic customer health reviews and success planning across the full 1Password ecosystem. - Represent the customer voice internally by sharing feedback with Product, Marketing, and Support. - Create and maintain resources (playbooks, knowledge base, etc) that scale customer impact. - Mentor junior team members, contribute to enablement, and shape scalable processes. - Act as an escalation point for complex technical challenges and strategic accounts. - Occasionally represent 1Password at customer meetings, industry events, or team offsites (some travel may be required). Success looks like: - Customers achieving full technical implementation within target timelines. - Increased adoption of integrations (EPM (SSO, SCIM), EPM Dev Tools, SaaS Manager, Device Trust, Privileged Access). - Positive customer feedback and renewal growth driven by proactive technical guidance. - Mentoring peers and helping mature TAM processes for scale.   USA-based roles only: The annual base salary for this role is between $124,000 USD and $180,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $113,000 CAD and $164,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.   This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Remote, United Kingdom 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 Senior Program Manager within GitLab's Enterprise Technology organization, you will lead the planning, execution, and delivery of complex, cross-functional technology programs that advance our enterprise IT strategy. You'll serve as a trusted advisor and program execution partner to IT leadership, translating strategic objectives into structured roadmaps and measurable outcomes. This is a highly visible role that requires both technical fluency and business acumen, with the ability to navigate ambiguity, align diverse stakeholders, and drive decisions across teams. You will operate at the intersection of IT, Finance, Legal, Product, and Business operations, bringing structure and clarity to programs that span multiple domains and functions. Whether standing up new capabilities, improving governance practices, or scaling operational processes, you will be the connective tissue that keeps programs moving, risks surfaced, and stakeholders informed. What you'll do Own end-to-end program management for large-scale or high-complexity Enterprise Technology & AI initiatives, including scope definition, roadmap development, resource planning, and delivery tracking Define and communicate clear success metrics for each program, reporting status and risk to Enterprise Technology & AI leadership on a regular cadence, and escalating issues with recommended paths forward Partner with business and technology stakeholders to develop a deep understanding of underlying problems, desired outcomes, and solution trade-offs Drive cross-functional alignment by facilitating decision-making, resolving dependencies, and maintaining momentum across distributed teams Recommend and implement improvements to program governance frameworks, intake processes, and ways of working across the CIO org Translate complex technical and business requirements into clear, actionable work plans accessible to both technical and non-technical audiences Anticipate risks and interdependencies across the portfolio, proactively mitigating blockers before they impact delivery Model GitLab values and remote work best practices, contributing to a high-trust, async-first team culture What you'll bring 6+ years of program management experience, with a strong track record delivering large, cross-functional Enterprise Technology & AI programs Demonstrated ability to simplify complex processes and build structured approaches to ambiguous problems Experience influencing without authority, earning trust with senior stakeholders, and driving alignment across functions, including Finance, Legal, Sales, and Product Comfortable operating at both a strategic level and in the details, switching between executive communication and hands-on program execution as needed Strong written and verbal communication skills, with experience presenting program status, risks, and recommendations to ETA leadership and Executive audiences Familiarity with Enterprise IT domains such as business systems, data, AI, security, infrastructure, or enterprise architecture (depth in one or more areas preferred) Proficiency with program and project management tools and methodologies (Agile, Scrum, SAFe, or similar); PMP, CSM, or equivalent certification is a plus Experience working in a remote, globally distributed environment with a bias toward async collaboration and clear documentation About the team The CIO Enterprise Technology & AI team is GitLab's central engine for improving the systems, data, and AI capabilities that support how we run the business. The team designs and operates enterprise applications, data platforms, corporate IT services, and AI-enabled workflows that help our globally distributed GitLab team members work effectively and securely. You'll join a team that partners closely with Finance, Sales, Marketing, People, Product, and Security to turn business strategy into scalable, reliable technology solutions. The work is broad, visible, and deeply cross-functional, which makes strong program leadership essential. In this role, you'll help teams stay aligned, make progress across complex initiatives, and bring transparency to how strategic work gets delivered across the organization. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote, United Kingdom 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. Summary: Lead the Build team within GitLab Delivery, accountable for the strategy, execution, and operational excellence of the systems that turn GitLab source code into secure, verified, and distributable artifacts for Self-Managed and other delivery targets. The role owns the build platform foundations that make component delivery faster, more consistent, and more self-service for development teams, while ensuring artifacts are reliable for customers to install and operate. Key Responsibilities: Lead the Build team roadmap across UBT, TUBE, and the broader build platform. Own delivery of GitLab distributable artifacts, including packages, container images, and cloud marketplace images. Drive a build-once, deploy-everywhere model across Omnibus, CNG, and future delivery targets. Lead centralized dependency management and coordinated dependency updates across components. Ensure supply chain security through SBOMs, provenance, vetted dependencies, and compliant build isolation. Create self-service onboarding paths with standard CI templates, documentation, and paved paths. Improve build quality and consistency through unified build environments and validation. Establish observability, dashboards, and metrics for build pipelines and platform impact. Partner across Delivery and adjacent teams to unblock onboarding and reduce coordination overhead. What you'll bring: Proven track record building and owning large-scale distributed services, with the technical depth to dive into architecture and guide the team on technical strategy Experience in driving operational excellence and you've owned services running at four-nines (99.99%) SLOs and know what it takes to keep them there Experience leveraging AI tooling to boost team productivity, with real lessons learned from both wins and missteps A history of building and managing high-performing, accountable team cultures, including managing out when necessary Comfort driving complex projects to completion without relying on a dedicated TPM Experience leading distributed and remote teams effectively 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: Munich, Germany 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 our Enterprise team, your role is to guide some of Germany's largest businesses to the frontier of AI and help them deploy Claude into their operations, their products, and their ways of working. You will become the go-to Claude Platform specialist and trusted technical advisor for your customers, advising their engineering teams on architecture, agent design, and evaluation, and working with the C-level and senior executives who sponsor these programmes to show the business value Claude can create and help them reach a confident decision to build on Claude. Enterprise deals are different. Procurement cycles are longer, more stakeholders are involved, and success depends on being able to connect the technical work to the outcomes the boardroom cares about. You will be as comfortable advising an engineering team on evaluation and architecture as you are presenting a value case to a CIO or CTO, and you will carry the technical thread across every stage of a multi-quarter engagement. Much of this work happens in German, with German executives and engineering teams, so native or fluent German is essential for the role. You will partner closely with Enterprise Account Executives and Applied AI Architects to take each customer from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude. Once they have decided, you set their systems integration partner up to deliver, agreeing the target architecture and what good looks like, and you stay close as the customer's technical advisor on Claude throughout deployment, while the partner does the build. Working alongside Anthropic's Product and Engineering teams, you will use your knowledge of the Claude Platform to advise on evaluation, recommend architectures that meet enterprise security and scale requirements, and create the technical and business resources that help large organisations succeed with Claude. Responsibilities Partner with Enterprise Account Executives and Applied AI Architects to take enterprise customers in Germany from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude Lead the technical side of each opportunity through to that decision, and remain the customer's technical advisor on Claude as they deploy Set customers and their systems integration partners up to deliver: agree the target architecture, define what good looks like, and stay on hand to advise the delivery team as the build progresses Guide enterprise customers to the frontier of AI, advising them on how to deploy Claude into their operations, their products, and their ways of working Help customer engineering teams see how they would build on Claude, covering architecture, agent design and evaluation, so they can make a confident decision Build and present the business value case for Claude with C-level and senior executives, in German and English, linking technical capabilities to measurable outcomes such as cost, revenue, risk, and time to market Guide customers through long, multi-stakeholder procurement and adoption cycles, including technical evaluations, proofs of concept, security and architecture reviews, and a clear path to production Work with Account Executives on account strategy, deal qualification, and executive engagement plans, and with Applied AI Architects to keep context and continuity across every engagement Run executive briefings, technical workshops, and enablement sessions for both leadership and engineering audiences Navigate enterprise requirements around security, compliance, data residency, and governance, working with Anthropic's internal teams where needed Identify patterns across enterprise engagements and feed insights back to Product, Engineering, and the wider Applied AI team Travel to customer sites across Germany for executive meetings, workshops, and relationship building You may be a good fit if you have Native or fluent German, written and spoken, as you will work day to day with German enterprise customers at both executive and engineering level 6+ years of experience as a Software Engineer, Solutions Architect, Forward Deployed Engineer, or technical founder Experience in a pre-sales or technical advisory role selling into large enterprises, ideally in the German market, including scoping and designing complex solutions Experience with value-based selling, meaning you can build a business case, quantify impact, and present it to senior decision makers Comfort presenting to, and building relationships with, C-level and VP-level stakeholders Experience owning the technical win in enterprise deals: evaluations, proofs of concept and technical due diligence with engineering, security, legal and procurement teams Production experience with LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale A hands-on engineering background, including building and deploying production applications, so you can relate to engineering leaders and their teams Familiarity with enterprise security, compliance, and architecture requirements, and experience working through them with customer teams The ability to explain complex AI concepts clearly to both technical and executive audiences, and to move between industries such as financial services, healthcare, retail, and manufacturing A passion for making powerful technology safe and beneficial 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.