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Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Technical Consulting is Ramp's post-sales technical delivery team. When a finance org needs Ramp to work the way their business actually runs, this is the team that takes customers through that transformation, from complex accounting issues to integration errors to everything in between. The Manager, Technical Consulting, Enterpriseleads the team responsible for Ramp's largest accounts. You'll own post-sales technical implementation for this segment end to end — from technical discovery and solution design through go-live, adoption, and expansion — working shoulder-to-shoulder with our Customer Activation team, with whom you'll co-own activation milestones and time-to-value. Strategic customers arrive with multi-entity structures, legacy ERPs, in-flight finance transformations, procurement and treasury requirements, and executive sponsors who expect a named technical leader in the room. Your team is the last line of technical escalation for these accounts — there is no tier above you. This role suits an experienced leader who can hold two things at once: the operating rigor to run a delivery function at scale, and the technical credibility to sit across from a Controller or VP of Finance and design the solution live. WHAT YOU'LL DO - Lead and grow the Enterprise Technical Consulting team — coach senior and principal-level consultants, own hiring, onboarding, performance, and career architecture, and build a bench deep enough to scale with the segment - Own post-sales technical implementation for Ramp's largest accounts — accountable for solution quality, delivery timelines, and technical outcomes across the portfolio - Co-own activation milestones with Customer Activation — build a joint operating model where TC drives technical design and Activation drives adoption and enablement, with shared accountability for time-to-value and a single, coherent customer experience - Serve as the terminal escalation point for complex technical and delivery challenges — ERP integration failures, custom API work, at-risk go-lives, and commitments made pre-sales that need to be re-scoped - Define the Strategic delivery model — scoping standards, solution design review, rules of engagement with CSM/Activation, staffing and capacity models, and quality bars that hold up under enterprise scrutiny - Run the function with operational rigor — forecast capacity, balance workload across accounts, instrument the team with KPIs (time-to-value, go-live on-time rate, escalation volume, adoption and expansion attach), and use the data in coaching and planning - Partner cross-functionally at the leadership level — Customer Activation, Strategic CSM and AM, Sales, Product, Engineering, and GTM Ops — to align on roadmap, feedback loops, and segment strategy - Turn field insight into product influence — synthesize what Strategic customers actually need, champion it with Product and Engineering, and close the loop back to the field - Set precedent where none exists — make sound calls in ambiguous, high-stakes situations, document the reasoning, and teach the team to do the same WHAT YOU NEED - 5+ years in technical consulting, solutions architecture, implementation, or professional services — with substantial time on enterprise or strategic accounts - 2-3+ years managing individual contributors and owning team-level outcomes; experience managing senior or principal-level ICs strongly preferred - Proven track record owning post-sales implementation for large, complex customers — multi-entity, multi-system, executive-sponsored engagements - Deep fluency in ERP and financial systems (NetSuite, Sage Intacct, Oracle, Workday Financials, Microsoft Dynamics), APIs, SSO/HRIS integrations, and core accounting workflows (chart of accounts, subsidiaries, approval hierarchies, month-end close) - Ability to assess and guide technical solution design at enterprise complexity — and to tell the difference between a configuration problem, a product gap, and a customer process problem - Experience building the operating model between two functions — e.g. delivery and onboarding, or services and customer success — and making shared accountability actually work - Executive-grade communication — able to hold the room with a CFO or Controller, advocate for your team internally, and translate technical trade-offs into business consequences - Demonstrated judgment in ambiguity and a bias toward ownership in a fast-changing, high-growth environment NICE TO HAVE - Experience at an ERP or financial systems vendor (Workday, NetSuite/Oracle, Sage Intacct, Coupa) or in a Big 4 / systems integrator implementation practice - Background in fintech, spend management, or AP automation - Experience standing up or scaling a technical consulting / professional services function from an early stage - Experience managing managers or team leads, or building the career ladder for a technical IC track BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote - US About the Job: LaunchDarkly is looking for a strategic, execution-oriented Director of Internal AI Operations to run and continuously improve how our company adopts and scales AI, establish the operational objectives, processes, and work plans that turn AI from a collection of tools into a measurable business capability and work with leaders across several functions to put the company’s AI direction into practice. Responsibilities: Reporting: Build and maintain visibility into AI spend and usage. Develop adoption, efficiency, and cost metrics and report on tool overlap, cost drivers, and open risks. Support Finance with forecasting, budget tracking, anomaly detection, and vendor and model-cost optimization. Functional and technical leaders own efficiency, waste, cost, usage, and ROI within their portfolios; AI Operations prepares regular reporting and flags performance gaps for follow-up. Portfolio management: Maintain the inventory of AI tools, initiatives, agents, vendors, integrations, owners, status, spend, risks, and dependencies. Establish the processes and standards that keep it accurate across teams. Reviews: Participate in reviewing new AI Vendor requests and own and manage the Internal AI Feature Review process from intake through decision, conditions, approval, exception, or rejection, coordinating inputs from Security, Legal, IT, and business owners. Policy operations: Develop and maintain the company’s Internal AI Policy supporting resources with Legal and Security, and the Executive team, along with supporting resources. Recommend policy changes and put approved changes into operation. Transformation and migration: Track the AI roadmap, migrations, platform dependencies, adoption milestones, resourcing, risks, and executive decisions. Partnership with our technology teams : Collaborate on new AI product initiatives, empowering our product teams with how they identify and deliver value around AI. Administration and audit: Define and audit standards for access, ownership, configuration, data controls, logging, retention, vendor settings, and offboarding. Communications and enablement: Own the Internal AI communications calendar, stakeholder updates, FAQs, launch materials, training coordination, and policy-change communications. CoE coordination: Establish a common cadence and minimum artifacts across distributed AI CoEs without centralizing their technical or domain ownership. Qualifications: 15+ years of progressively responsible experience in AI or technology operations, enterprise systems, data and analytics, FinOps, governance, transformation, or a related field, including 5+ years leading teams or complex cross-functional programs. Demonstrated success designing, implementing, or scaling an operating model across multiple functions, including clear ownership, policies, processes, metrics, governance, and measurable outcomes. Experience managing an enterprise portfolio of AI or technology tools, vendors, integrations, or platforms, including lifecycle management, access and administration, risk and controls, contracts, usage, and spend. Strong financial, analytical, and data-driven mindset, with experience using tools such as Snowflake, Excel, Python, or equivalent; able to define adoption, efficiency, unit economics, ROI, and business-value metrics and turn complex data into executive-ready recommendations. Strong financial and operational acumen, with experience building spend visibility, forecasts, budget controls, vendor or model-cost optimization, cost avoidance, waste reduction, and value-improvement plans. Strong written and verbal communication skills, including the ability to explain complex topics clearly, present recommendations to senior and executive leaders, and persuade diverse stakeholders. Experience influencing functional and technical leaders without relying on direct authority, clarifying distributed accountability, benchmarking performance, challenging tradeoffs, and driving follow-through across global, remote, and cross-functional teams. Curiosity and a willingness to lean into AI: able to learn emerging capabilities quickly, experiment pragmatically, identify high-value use cases, and apply sound judgment about where AI should and should not be used. Practical understanding of responsible AI, data governance, privacy, security, vendor risk, and change management, with the judgment to balance innovation, control, scalability, and business value. Strong systems thinking, program management, prioritization, and change leadership skills; comfortable bringing structure to ambiguous, company-wide problems. Experience hiring, coaching, or developing effective teams and building trusted partnerships across Finance, IT, Security, Legal, Procurement, and business functions. What Success Looks Like: Accelerate teams’ work through measurable improvements in cycle time, throughput, or capacity unlocked by AI. Partner with functional leaders to demonstrate business value from priority AI use cases—not just increased usage. Reduce friction from idea to responsible launch, measured by faster reviews, clearer decisions, and fewer stalled initiatives. Improve AI portfolio efficiency through stronger utilization, reduced duplication, and better cost per user or workflow. Establish trusted, scalable governance, with clear ownership, timely reviews, and consistent execution of required controls. Pay: Target pay ranges based on Geographic Zones* for Level M4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $269,400 - 370,480 * Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $242,500 - 333,410 ** Zone 3: All other US locations - $229,000 - 314,930 * All Zones inclusive of 15% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. Ramp is hiring Customer Activation Manager for Stack, Ramp's purpose-built AI accounting platform https://ramp.com/stack for accounting firms and in-house finance teams. Its agents follow each team's processes across connected systems to complete reviewable accounting work, from recurring tasks through close and reconciliations. You will help customers identify use cases, translate their accounting process into a practical implementation plan, and build trust in agentic bookkeeping through results, impact, and deployment. You will own the customer-facing path from discovery through adoption, partner with specialists on technical setup, and help shape the playbook as the product grows. This role calls for accounting judgment, experience bringing software or process change to life with customers, and an understanding of agentic workflows. WHAT YOU’LL DO - Learn how each customer handles close, reconciliations, journal entries, exceptions, and review today; identify where Stack and agentic workflows can deliver useful value. - Translate the current process into an implementation plan with clear inputs, owners, dependencies, validation steps, and human review. - Guide Controllers, accountants, and other stakeholders from discovery through first use, training, and repeat adoption; adjust the plan when confidence or usage stalls. - Coordinate with Sales, Customer Success, Product, and other Ramp teams on deployments as well as process, systems, and product improvements - Act as an advocate and expert on AI-assisted accounting work - Turn early customer learnings into reusable discovery questions, launch steps, and adoption practices for the next implementation. WHAT YOU’LL NEED - Roughly 4+ years of relevant experience in customer success, software implementation, accounting systems implementation, finance transformation, consulting, or a related customer-facing role; level is flexible based on experience. - Hands-on accounting fluency: you can explain source data, close or reconciliation steps, exceptions, controls, and sign-off with concrete examples. - Experience translating an accounting or finance workflow into a software implementation or process change, with evidence of what improved. - Ownership of customer or client adoption beyond setup, including stakeholder alignment, training, troubleshooting, and follow-through. - Clear communication with both finance leaders and hands-on accountants, especially when a proposed automation needs validation or a change in scope. - Comfort creating a plan and reusable process when the product and implementation motion are still evolving. NICE TO HAVES - CPA, public accounting, controllership, or accounting advisory experience paired with software implementation or consulting. - Experience with accounting automation, close management, or forward-deployed accounting work. - Familiarity with ERP or accounting-system integrations and the data or permission issues that arise during implementation. - Experience helping accounting teams adopt AI-assisted workflows with appropriate human review. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is hiring a Customer Activation Manager for AI Spend Management https://ramp.com/ai-cost-monitoring and Router https://www.prnewswire.com/news-releases/ramp-launches-routercom-to-cut-companies-rising-ai-bills-302855572.html. AI Spend Management helps Finance and Engineering see connected AI spend, understand what changed, and assign it to the right owner; Router helps builders route AI model requests. You will guide customers through technical activation, connect the work of developers and AI administrators with the needs of Finance, and turn initial setup into a useful, repeatable workflow. You will lead the customer plan for AI Spend Management and coordinate with specialist Solutions partners when Router requires deeper code integration. This is an early product motion, so you will help build the implementation playbook as we learn. WHAT YOU’LL DO - Lead customer discovery and implementation planning, including provider connections, prerequisites, owners, usage visibility, first-use milestones, and adoption follow-through. - Read API documentation and request/response evidence to investigate setup issues such as credentials, permissions, usage limits, model selection, and product behavior. - Help technical and finance stakeholders understand AI usage, costs, and governance choices in language each group can act on. - Coordinate with Sales, Customer Success, Technical Solutions, Product, and Engineering on deeper Router integrations or issues that require code-level work; give customers a clear owner and next step. - Guide customers from a working connection to a useful usage-review or governance workflow, and verify that the workflow is used after launch. - Capture recurring questions and failure patterns in customer guidance, troubleshooting steps, and internal playbooks. WHAT YOU’LL NEED - Roughly 4+ years of relevant experience in technical customer success, technical account management, implementations, solutions consulting, or a related customer-facing role; level is flexible based on experience. - Experience owning technical customer launches from handoff through verified first use and sustained adoption. - Ability to read API documentation and reason through request/response evidence, authentication, permissions, and integration issues; production coding is not required for this role. - Working knowledge of multiple AI providers and the customer tradeoffs around capabilities, cost, latency, reliability, usage limits, and data handling. - Ability to communicate credibly with developers or AI administrators and plainly with Finance leaders, keeping both aligned on the launch plan. - Comfort solving unfamiliar problems, escalating with useful evidence, and building a repeatable process in a changing product environment. NICE TO HAVES - Experience with AI gateways, model routing, provider integrations, token usage, AI spend controls, or API-key governance. - Post-sale implementation experience at an AI-first or developer-facing software company. - Coding literacy or experience partnering with Solutions or Engineering teams on customer integrations. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Network Supply Manager will be responsible for operational procurement activities supporting Nebius network infrastructure and data-center projects across the United States. The role will primarily focus on U.S. projects, suppliers, deployments, and operational procurement requirements. The successful candidate must also be willing and able to support network connectivity and data-center projects in other regions based on business priorities and team requirements. The position covers supplier sourcing, RFQs, proposal evaluation, commercial negotiations, contract execution, purchase orders, invoice processing, payment tracking, and supplier onboarding. The role will work closely with Engineering, Finance, Legal, Data Center, and other internal teams to ensure procurement activities are completed efficiently and in accordance with Nebius procurement policies. The successful candidate should understand the U.S. telecommunications supplier landscape and have general knowledge of major global telecommunications carriers, infrastructure providers, and data-center operators. Key Responsibilities Take primary ownership of operational procurement for network connectivity, IP address resources, and data-center services across the United States. Support global network infrastructure and data-center projects in other regions as required by business priorities. Identify, evaluate, and engage regional and global telecommunications suppliers. Conduct RFQs, evaluate and compare supplier proposals, negotiate commercial terms, and support contract execution. Process and track purchase requests, purchase orders, invoices, and payments using ERP and procurement systems. Coordinate procurement activities with Engineering, Finance, Legal, Data Center, and other internal stakeholders. Support supplier onboarding, qualification, due diligence, and contract-management processes. Procure services including IP Transit, Dedicated Internet Access (DIA), Data Center Interconnect (DCI), Dark Fiber, wavelength services (DWDM), Managed Optical Fiber Networks (MOFN), colocation, cross-connects, Remote Hands, and Network as a Service (NaaS). Support the sourcing, purchase, leasing, transfer, and commercial evaluation of IPv4 and IPv6 address resources. Ensure compliance with Nebius procurement policies, competitive sourcing requirements, and internal approval processes. Build and maintain strong relationships with U.S. regional suppliers and global service providers. Key Requirements A minimum of 3 years of experience in IT procurement, telecommunications procurement, strategic sourcing, or procurement operations. Experience with supplier sourcing, RFQs, proposal evaluation, and commercial negotiations. Experience using ERP, procure-to-pay, or procurement-management systems. General understanding of telecommunications, network connectivity, and data-center services. General knowledge of major global telecommunications carriers, network infrastructure providers, and data-center operators. Ability to evaluate supplier proposals based on pricing, technical and commercial scope, delivery timelines, service levels, and contractual terms. Ability to manage multiple procurement requests and competing priorities simultaneously. Strong organizational, analytical, negotiation, and stakeholder-management skills. High attention to detail and the ability to maintain complete and accurate procurement records. Ability to collaborate effectively with technical, financial, legal, and operational stakeholders. Willingness and flexibility to support procurement activities and projects outside the United States when required. Professional fluency in English. Highly Desirable Experience Procurement or supplier-management experience within the U.S. telecommunications or data-center market. Experience working with U.S. regional carriers, global telecommunications providers, data-center operators, and network infrastructure suppliers. Experience supporting data-center deployments, network expansions, or Point of Presence (PoP) projects in the United States. Knowledge of the U.S. supplier landscape, commercial practices, delivery challenges, and relevant regulatory considerations. Nice to Have Experience procuring telecommunications or network services such as IP Transit, DIA, DCI, Dark Fiber, DWDM, cross-connects, colocation, and Remote Hands. Experience with MOFN solutions or other dedicated fiber infrastructure models. Experience with Network as a Service solutions. Experience sourcing, purchasing, leasing, or transferring IPv4 and IPv6 address resources. Familiarity with IP address due diligence, reputation checks, Regional Internet Registries, and address-transfer processes. Experience supporting global network infrastructure or data-center expansion projects. About Nebius Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023). Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us! Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $100,000 — $140,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote, USA Workplace: remote Job Title: Technical Program Manager Location: USA - Remote   **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.   About the Team The Product Operations team works at the intersection of product, engineering, and platform to help teams deliver with purpose, speed, and measurable impact. This is an opportunity to shape how complex technical programs operate at scale across a collaborative, outcome-focused environment.   Position Summary: At PointClickCare, Technical Program Managers are strategic enablers of product outcomes, connecting strategy, delivery, and learning across our product and engineering ecosystem. You’ll orchestrate complex initiatives that span products, platforms, and domains, ensuring empowered teams have the clarity, alignment, and flow to deliver meaningful customer and business impact.   You bring clarity to complexity, align teams around shared outcomes, and accelerate delivery with purpose and precision.    You are part of PointClickCare’s evolution toward an empowered, product-led organization, where outcomes define success and flow defines health. You’ll operate at the intersection of product, engineering, and platform - driving systems that enable every team to deliver with purpose, speed, and measurable impact.   Key Responsibilities: Enable product outcomes: Partner with Product and Engineering Leads to translate strategy and OKRs into coordinated execution plans, ensuring teams stay focused on delivering measurable customer and business value. Orchestrate multi-team initiatives: Lead cross-team efforts spanning product, infrastructure, and platform capabilities - ensuring alignment, dependency visibility, and sustainable flow. Drive clarity and flow: Remove ambiguity by connecting business intent to execution signals. Use delivery and outcome metrics to inform, not control, decision-making. Harness AI for insight: Use AI-driven analytics to surface risks, detect bottlenecks, and generate proactive recommendations that improve velocity and predictability. Champion empowered delivery: Coach teams on healthy operating rhythms and data-driven practices that balance autonomy with alignment. Bridge strategy to execution: Facilitate alignment between senior product, design, and engineering leaders - making trade-offs visible, decisions explicit, and accountability shared. Shape systems and culture: Contribute to how PointClickCare executes at scale, evolving shared tools, processes, and frameworks that amplify impact across the portfolio.   Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience. 5+ years of experience leading complex software programs in TPM/EPM or similar roles. 3+ years driving multi-team initiatives across product and platform or infrastructure. Experience translating strategy and OKRs into execution plans, managing dependencies, risks, and delivery health signals. Proficient with program execution and delivery tooling (Jira, Confluence, Aha! or equivalents) for planning, dependency management, status reporting, and stakeholder visibility. Technical fluency in modern software systems (APIs, architectures, integration patterns) and ability to engage in technical design conversations. Experience using metrics to improve predictability, flow, and outcomes; comfort using AI tools to support analysis and decision-making. Proven track record delivering complex programs (SaaS, large systems) that span multiple teams and domains (platform, product, data). Technical fluency - you understand system architectures, APIs, integration patterns, and can engage in technical design conversations. Systems-level thinking - you see cross-cutting dependencies and can reason about how one program impacts others. Influence without authority - you align stakeholders, manage conflict, and build consensus across teams with different priorities. Data-driven mindset - you define and use meaningful metrics to track health, predict issues, and drive decisions. Bias toward action & ownership - when ambiguity hits, you drive clarity and momentum. AI fluency and curiosity:  Understanding of applied AI concepts Comfort using AI tools to support analysis, documentation, and decision-making.  Awareness of responsible and ethical AI practices in engineering environments.  Excellent communication skills - able to tailor messages and status to technical teams, product partners, and senior leadership. Passion for using technology, including AI, to improve how teams work, decide, and deliver.  You connect dots across the portfolio to drive outcome alignment and accelerate flow. You coach teams to operate with greater autonomy, velocity, and data-driven decision-making. You embody AI-first leadership, role-modeling intelligent ways of working that elevate how the organization learns and executes. At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $153,900 - $171,000+ bonus + benefits, non-overtime eligible. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.   PointClickCare Benefits & Perks Benefits starting from Day 1 Retirement Plan Matching (RRSP & 401K) Flexible Paid Time Off Lifestyle/Wellness Spending Account Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Learning Programs & Resources Employee Recognition … and more!   Equal Employment Opportunity: It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.   #LI-Remote

Location: Remote or Mississauga Workplace: hybrid Job Title: Technical Program Manager Location: Mississauga, ON – Hybrid or Canada - Remote   **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.   At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.   About the Team The Product Operations team works at the intersection of product, engineering, and platform to help teams deliver with purpose, speed, and measurable impact. This is an opportunity to shape how complex technical programs operate at scale across a collaborative, outcome-focused environment.   Position Summary: At PointClickCare, Technical Program Managers are strategic enablers of product outcomes, connecting strategy, delivery, and learning across our product and engineering ecosystem. You’ll orchestrate complex initiatives that span products, platforms, and domains, ensuring empowered teams have the clarity, alignment, and flow to deliver meaningful customer and business impact.   You bring clarity to complexity, align teams around shared outcomes, and accelerate delivery with purpose and precision.    You are part of PointClickCare’s evolution toward an empowered, product-led organization, where outcomes define success and flow defines health. You’ll operate at the intersection of product, engineering, and platform - driving systems that enable every team to deliver with purpose, speed, and measurable impact.   Key Responsibilities: Enable product outcomes: Partner with Product and Engineering Leads to translate strategy and OKRs into coordinated execution plans, ensuring teams stay focused on delivering measurable customer and business value. Orchestrate multi-team initiatives: Lead cross-team efforts spanning product, infrastructure, and platform capabilities - ensuring alignment, dependency visibility, and sustainable flow. Drive clarity and flow: Remove ambiguity by connecting business intent to execution signals. Use delivery and outcome metrics to inform, not control, decision-making. Harness AI for insight: Use AI-driven analytics to surface risks, detect bottlenecks, and generate proactive recommendations that improve velocity and predictability. Champion empowered delivery: Coach teams on healthy operating rhythms and data-driven practices that balance autonomy with alignment. Bridge strategy to execution: Facilitate alignment between senior product, design, and engineering leaders - making trade-offs visible, decisions explicit, and accountability shared. Shape systems and culture: Contribute to how PointClickCare executes at scale, evolving shared tools, processes, and frameworks that amplify impact across the portfolio.   Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience. 5+ years of experience leading complex software programs in TPM/EPM or similar roles. 3+ years driving multi-team initiatives across product and platform or infrastructure. Experience translating strategy and OKRs into execution plans, managing dependencies, risks, and delivery health signals. Proficient with program execution and delivery tooling (Jira, Confluence, Aha! or equivalents) for planning, dependency management, status reporting, and stakeholder visibility. Technical fluency in modern software systems (APIs, architectures, integration patterns) and ability to engage in technical design conversations. Experience using metrics to improve predictability, flow, and outcomes; comfort using AI tools to support analysis and decision-making. Proven track record delivering complex programs (SaaS, large systems) that span multiple teams and domains (platform, product, data). Technical fluency - you understand system architectures, APIs, integration patterns, and can engage in technical design conversations. Systems-level thinking - you see cross-cutting dependencies and can reason about how one program impacts others. Influence without authority - you align stakeholders, manage conflict, and build consensus across teams with different priorities. Data-driven mindset - you define and use meaningful metrics to track health, predict issues, and drive decisions. Bias toward action & ownership - when ambiguity hits, you drive clarity and momentum. AI fluency and curiosity:  Understanding of applied AI concepts Comfort using AI tools to support analysis, documentation, and decision-making.  Awareness of responsible and ethical AI practices in engineering environments.  Excellent communication skills - able to tailor messages and status to technical teams, product partners, and senior leadership. Passion for using technology, including AI, to improve how teams work, decide, and deliver.  You connect dots across the portfolio to drive outcome alignment and accelerate flow. You coach teams to operate with greater autonomy, velocity, and data-driven decision-making. You embody AI-first leadership, role-modeling intelligent ways of working that elevate how the organization learns and executes.   At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $144,000 - $160,000 + bonus + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.   PointClickCare Benefits & Perks Benefits starting from Day 1 Retirement Plan Matching (RRSP & 401K) Flexible Paid Time Off Lifestyle/Wellness Spending Account Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Learning Programs & Resources Employee Recognition … and more!   Equal Employment Opportunity: It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.   #LI-Hybrid

Location: United States Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We're looking for a Director of EPD Operations to run the operating system for Webflow's Engineering, Product & Design (EPD) organization. You'll own how EPD plans, tracks, launches, and reports on its work, and you'll make that system faster every quarter, increasingly with AI agents doing the repetitive parts. You'll report to the Chief Product Officer, sit on EPD Leadership, and lead a small, high-leverage team of program managers, technical program managers, and agentic engineers. This role is for an operator who builds. You care about rituals and rigor, but you measure success by one thing: whether EPD ships more customer value, faster and more reliably. ABOUT THE ROLE - Location: Remote-first (United States; BC & ON, Canada) - Full-time - Exempt - Reporting to the Chief Product Officer - For this role, candidates must be legally authorized to work in the United States without the need for Webflow's sponsorship for an immigration-related employment benefit (i.e., a work visa, work permit, etc.) - The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate's geographic location, job-related experience, knowledge, qualifications, and skills. - United States (all figures in USD) - Zone A: 284,000 - 355,000 - Zone B: 267,000 - 334,000 - Zone C: 249,600 - 312,000 As Director, EPD Operations, you'll… - Run the EPD operating rhythm. Own the leadership and org-wide rituals that keep a multi-pillar EPD org aligned: weekly EPD Leadership, pillar lead reviews, quarterly all-hands, offsites, and protected builder time. Cut what doesn't earn its time; make what stays drive decisions. - Own planning, OKRs, and roadmap health. Run quarterly planning with pillar leads, manage the OKR program and its owners, and keep the roadmap current and trustworthy. Surface at-risk work early and route it to the right leader for a decision within a week. - Tell EPD's story to leadership and the board. Produce accurate, on-time reporting for exec staff, board meetings, and QBRs, sourced from live roadmap and OKR data rather than one-off reconciliation. - Own launch readiness and release governance. Run OK2GA and production-readiness reviews, coordinate high-profile launch moments (like Webflow Conf), and partner with Engineering and Support on post-incident follow-through so reliability work gets prioritized, not lost. - Run alpha and beta programs. Give product teams a predictable path from build-complete to customers' hands, with clear feedback loops, in partnership with Product, Research, and GTM. - Improve the product development lifecycle. Own PDLC standards (PRDs, stage gates, product-led releases), templatize or automate the repeatable steps, and make the process lighter for PMs, EMs, and designers. - Lead EPD's internal AI and tooling roadmap. Direct a team of agentic engineers building agents and automations for EPD: triage intake and routing, status updates, beta recruitment, roadmap views, and a shared skills library. Own EPD tooling (e.g., Linear) and partner with IT and Finance on spend and adoption. - Be the bridge to Finance and GTM. Partner with Finance and Accounting on headcount plans and capitalized software reporting, and with Marketing, Sales, and Support on launch plans and the flow of customer feedback into EPD. - Build and lead the team. Hire, coach, and grow a team of program managers, TPMs, and agentic engineers across US and LATAM time zones. Set clear priorities and give them room to own outcomes. In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role. ABOUT YOU You'll thrive as Director, EPD Operations if you have: - 10+ years in technical program management, engineering or product operations, or chief-of-staff roles at a software company, with at least 4 years leading teams. - A track record of running planning, OKRs, and operating cadence for an EPD org of several hundred people, and of making that system simpler over time. - Experience owning launch readiness or release governance for a SaaS product, including coordinating major launches with GTM. - Strong executive presence. You can run a room of VPs, synthesize a messy debate into a decision, and write a board-ready update. - Hands-on AI fluency. You use AI tools and agents in your own daily work, and you've led or sponsored automation that removed real operational toil and got adopted. - Fluency with engineering and product tooling (Linear, Jira, Confluence, Slack, data/BI tools), and the judgment to change tools only when it pays off. - Comfort with ambiguity and frequent change. You can re-plan quickly after a reorg or a strategy shift without losing the thread. - Clear, concise communication across technical and non-technical audiences. - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

We’re looking for a Senior Product Builder to own the backend and architecture that let Hub manage a whole fleet of clusters. Your first focus will be the mechanism that sends access, secret, tenant and licence changes out to every connected cluster and brings deployments, health and audit records .

Location: London, England, United Kingdom Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. Responsibilities MLRO Deputisation and Governance Act as alternate nominated officer, deciding on SARs and DAML requests when the MLRO is unavailable, under documented delegated authority. Attend the Audit, Risk and Compliance Committee and the Group Financial Crime Committee in the MLRO's absence. Maintain a complete, contemporaneous audit trail of all decisions taken under deputised authority, distinct from decisions taken by the MLRO. Maintain deputisation readiness: current knowledge of the MLRO's live case load, open regulator correspondence and outstanding remediation, so cover can be provided at short notice. Suspicious Activity Reporting and Sanctions Oversee escalations from transaction monitoring and name screening (PEP, sanctions, adverse media), setting investigation quality and disposition standards. Oversee sanctions screening escalations and prepare OFSI reports for MLRO sign off. Financial Crime Framework Maintain the Business Wide Risk Assessment (BWRA), proliferation financing risk assessment, AML, CTF and CPF policies and the customer risk assessment methodology, and propose changes to the MLRO for approval. Escalate material gaps or emerging typologies to the MLRO. Lead root cause analysis on control failures or thematic issues and track remediation actions to closure. Regulatory Reporting and Regulator Engagement Prepare financial crime MI for senior management and governance committees, and draft sections of the annual MLRO Report. Support responses to FCA information requests and assist with skilled person reviews (s.166 FSMA 2000) or supervisory visits as directed by the MLRO. Track the AML control framework against FCA Handbook updates, JMLSG guidance revisions and OFSI and HMT sanctions notices. Team Leadership and Succession Line manage members of the UK Financial Crime team, setting quality standards, coaching and development plans. Act as the escalation point for complex or ambiguous cases referred by Level 1 and Level 2 analysts and more junior members of the UK Financial Crime team. Build the knowledge and judgement needed to step up to SMF1 Requirements Deep working knowledge of UK AML and CTF regulation: MLR 2017, POCA 2002, TA 2000, FCA SYSC 6.3 and JMLSG Guidance. Sound judgement under pressure. Comfortable taking disposition decisions on live SARs without the MLRO present. Strong report writing and Board level communication skills. People leadership experience, or clearly demonstrated readiness to lead a team. Ability to manage regulator facing deliverables to deadline. 5+ years in AML and financial crime compliance within a regulated firm (CFD or brokerage, banking, payments or crypto), or equivalent regulatory exposure, including direct SAR investigation and disposition experience. Prior deputy or MLRO experience is preferred but not required. Experience preparing MI for Boards or Risk Committees. Familiarity with CFDs, spread betting and margin trading behaviours. Awareness of how FCA Consumer Duty intersects with financial crime risk (for example, vulnerable customer considerations in AML decisioning). Nice to Have ICA Diploma or Advanced Certificate in AML, ACAMS or equivalent. Direct exposure to FCA supervisory engagement Existing line management experience. What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Location: San Francisco; New York City Workplace: Hybrid Perplexity's sales organization is growing fast, and our sellers need the right content, tools and AI workflows to win. As our first Sales Enablement Operations Manager, you'll be the strategic partner and builder behind how Perplexity's sales team finds, uses and learns from content. This role is both strategic and hands-on. You'll work with the Sales Enablement Lead to define our content management strategy, including whether to build on Perplexity's own AI platform or buy a dedicated tool. Then you'll build it, run it and keep improving it. You'll also build AI skills, plugins and workflows that make reps and managers faster and more effective every day. This is a foundational hire. We're looking for someone who can grow into a leadership role as the enablement function scales. RESPONSIBILITIES Help shape content and knowledge strategy - Partner with the Sales Enablement Lead to define the long-term content management strategy for the sales team, from requirements to the build-vs-buy decision. - Work alongside the Sales Enablement Lead on the evaluation: gather stakeholder needs, assess options (including Perplexity Computer and third-party platforms), model costs and tradeoffs, and shape a joint recommendation to sales leadership. - Design the content architecture: taxonomy, ownership, governance, approval workflows and lifecycle (create, review, update, retire). Help build and run the enablement stack - Own the implementation and maintenance of the sales content hub, call library and training platform, leveraging Perplexity throughout. - Help coordinate with Revenue Operations, Product Marketing, Product and Legal so content is accurate, approved and available where sellers work (Salesforce, Slack, call-recording tools). - Own enablement reporting: content usage, training completion, certification status and how they relate to ramp and performance. Build AI tools for the sales team - Design, build and maintain AI skills, plugins and agent workflows for account executives, BDRs and sales managers, such as account research, call prep, deal reviews, coaching and pipeline hygiene. - Turn repeated seller and manager tasks into reusable AI workflows, then drive adoption through training, documentation and feedback loops. - Develop training materials for sellers and managers on using AI tools well, and keep a shared library of best practices. Lead and scale - Set the standards for how enablement content and AI tools get built, contributed and maintained across the GTM organization. - Act as a trusted thought partner to enablement leadership on priorities, operating model and tooling. - Help shape the enablement operations function as the team grows, with a path to leading it. WHAT WE'RE LOOKING FOR - 4–6 years in go-to-market roles, with at least 2 years owning sales enablement operations, revenue operations, GTM systems or sales content strategy. - Experience owning a sales content or knowledge system end to end, including taxonomy, governance, adoption and measurement. - A track record of leading or heavily shaping a tooling decision, such as a platform evaluation, migration or in-house build. - Real, hands-on AI fluency: you've built AI tools or workflows (custom GPTs, Claude or Perplexity skills, MCP connectors, n8n, Zapier, Clay or similar) that other people use regularly, and you can show examples. - Systems thinking: you understand how content, CRM, call-recording and communication tools connect, and you design for how sellers actually work. - Strong judgment and the ability to make a clear recommendation and defend it with leadership. - Experience driving cross-functional projects without formal authority. - Clear written and verbal communication, and a bias toward shipping, measuring and iterating. Nice to have - Experience as the first enablement operations or GTM systems hire, building the function from scratch. - Hands-on experience with enablement platforms such as Highspot, Seismic, Guru, Mindtickle or Showpad. - Background as an AE, SE or BDR before moving into enablement or operations. - Experience managing or mentoring contractors, interns or direct reports. - Experience at a high-growth AI or SaaS company. WHAT SUCCESS LOOKS LIKE - First 90 days: You've assessed current content and tools, interviewed sellers and managers, made a build-vs-buy recommendation with the Sales Enablement Lead, and shipped the first AI skills the sales team uses every week. - First 6 months: A governed content hub and call library are live and adopted, enablement reporting is in place, and a growing library of AI tools is measurably saving time for reps and managers. - First year: Enablement operations is a scalable function with clear standards, and you're ready to lead it as the team grows.

Location: Chennai, Tamil Nadu, India About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The Warehouse Specialist runs day-to-day warehouse operations at a Nebius data center site. The role receives, stores and issues high-value hardware (GPU racks, servers, network equipment, spare parts), keeps stock and asset records accurate, and provides equipment to data center engineers on time. The specialist is the site's hands-on link to the wider logistics function: Transportation and Transport Coordination for arrivals and pickups, Logistics Planning and 3PL Planning for schedules, Back Office for system records, and the Project Office for new processes and tools. Your responsibilities will include: 1. Receiving & Dispatch Receive inbound shipments per the delivery schedule; check seals, packaging and contents against ASN, packing list and PO. Record damage and discrepancies with photos on arrival and hand them to Transport Coordination for insurance cases. Prepare outbound shipments and RMA returns: picking, packing, labelling, documents; hand over to carriers at the agreed pickup time. Follow handling standards for heavy, fragile and high-value equipment. 2. Provisioning to Data Center Operations Issue equipment and spare parts to DC engineers on time, according to requests and project priorities. Stage and kit hardware for rack deployments as agreed with ITDC and Project Managers. Keep a clear view of what is available on site and flag shortages to the Team Lead and Logistics Planning. 3. Inventory & Asset Control Post receipts, issues and transfers in ERP/WMS on the same day as the physical movement. Create inventory and asset records for received equipment, including serial numbers. Carry out cycle counts and annual stock takes; investigate and report discrepancies to Back Office. Keep the warehouse tidy, labelled and organised by location. 4. Security, Safety & Compliance Follow site security procedures for deliveries, access control and storage of high-value items. Apply safety rules for handling equipment and operating material handling equipment. Keep records complete and audit-ready (SOX, internal and external audits). 5. Process & Continuous Improvement Work according to global SOPs and site-specific instructions. Suggest improvements and report recurring issues to the Team Lead and the Project Office. Take part in pilots and rollouts of new processes and tools (WMS/TMS, automations) at the site. 6. Local Expertise Provide site-specific knowledge (access rules, dock limits, local carriers and customs specifics) to Transport, Planning and 3PL teams. Identify local operational risks and propose practical mitigation. 7. Add-on Roles (when assigned) + RMA: own RMA flows at the site — intake, documentation, return shipment, status tracking. + Key User (IRG / NetSuite / Project44): first-line support and training for colleagues on the system, test changes, collect feedback for the Project Office. We expect you to have: Autonomy: Independently runs daily warehouse tasks at the site within SOPs; escalates discrepancies, damage and security issues to the Team Lead. Impact: Keeps DC engineers supplied with the right hardware on time and keeps site stock accurate. Communication: Clear, timely updates to the Team Lead, DC engineers and logistics teams. Travel: Occasional support to other sites during launches or peaks. Work Mode: On site; remote work not expected. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: 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 Infrastructure team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and utilities to stand up facilities that can reliably power some of the largest accelerator clusters in the industry. As a Data Center Electrical Engineer – Design, you'll own the electrical architecture of our facilities from the utility service entrance through to the rack — substation interface, medium- and high-voltage distribution, on-site generation and storage integration, UPS, switchgear, busway, and rack power. You'll develop and maintain the basis of design, reference architectures, and technical specifications that our build partners and A/E firms design against, and you'll be the point of technical authority when their drawings and calculations come back for review. You'll run the engineering studies — short-circuit, protection coordination, arc flash, load flow, and power quality — and you'll keep the architecture ahead of rapidly increasing rack densities and the unique load characteristics of large-scale ML training. A central part of this role is speed-to-capacity through prefabrication: you'll shape Anthropic's offsite-manufactured electrical strategy — modular skids, e-houses, and prefabricated power assemblies — and drive its standardization across sites. You'll work closely with colleagues across the infrastructure team, with our hardware and compute teams to translate accelerator requirements into electrical design criteria, and with supply chain to qualify and diversify regional equipment vendors. Expect roughly 10–25% travel for design reviews, partner and vendor meetings, factory witness testing, and site visits to support commissioning and startup. Responsibilities Electrical design & engineering Lead the electrical design of critical data center infrastructure across the US portfolio, including the utility interface and substation, site medium- and high-voltage distribution, generators, UPS, switchgear, transformers, busway, and grounding Develop and maintain Anthropic's electrical basis of design, reference architectures, and technical specifications for critical power distribution — covering switchgear, UPS systems, PDUs, busway, and rack power delivery — producing designs that meet our reliability and maintainability requirements while staying within budgetary targets Perform and validate engineering studies — including short-circuit, protection coordination, arc flash, load flow, and power quality analysis — and use the findings to steer topology, redundancy, equipment-selection, and protection-setting decisions Design and plan data center hall power distribution layouts for newly allocated spaces in coordination with the telecom, mechanical and cooling design Prefabrication & modular delivery Drive Anthropic's prefabricated and modular electrical strategy — developing modular skids, e-houses, and prefabricated power assemblies, and partnering with external engineering and manufacturing teams on a productization roadmap that accelerates deployment and reduces onsite labor Design for offsite manufacture and onsite assembly: define the interfaces between prefabricated components and site-built work, and the electrical interfaces and switchover points for temporary-to-permanent power sequencing Drive standardization of modular electrical designs across sites to compress deployment timelines while preserving flexibility for site-specific constraints and evolving hardware generations Partner, vendor & utility coordination Work with regional vendors and manufacturers to specify and qualify major electrical equipment, and partner with supply chain to build a diversified vendor base that mitigates lead-time and single-source risk Work with utilities and interconnection/transmission operators (e.g., ISOs/RTOs) to define site utility service and interconnection requirements, and with local authorities having jurisdiction to ensure designs comply with the National Electrical Code (NFPA 70/NEC), NFPA, IEEE, UL/ANSI, and local requirements Work with Anthropic's hardware and compute teams to translate accelerator power, density, and power-quality requirements into electrical design criteria, and keep the reference architecture aligned with upcoming hardware generations Present findings and design positions to internal stakeholders, build partners, and operations teams through clear reports and presentations, and defend them under challenge Design review & quality Review and approve electrical design packages, calculations, submittals, and shop drawings from build partners and MEP consultants; track clarifications, deviations, and exceptions against the basis of design, and hold the line on capacity, reliability, maintainability, and safety requirements Perform technical due diligence and design reviews on data center developer and partner projects — evaluating their electrical single-lines, equipment selections, studies, and specifications against Anthropic's reliability, maintainability, and capacity requirements Define project electrical scope and serve as the design authority on RFIs and field changes that affect design intent during procurement and construction Support factory acceptance testing, commissioning, and startup — reviewing test procedures and results against design intent, participating on site for key milestones, and closing as-built changes back into the reference design Manage concurrent projects across multiple geographies Continuously improve Anthropic's internal electrical design standards, tooling, and delivery practices, and act as a technical leader within the engineering group and across the internal and external teams that support our data centers You may be a good fit if you Have 10+ years of electrical engineering experience in mission-critical facilities, with substantial time spent on data center or other high-availability electrical distribution design — from concept through construction documents and into commissioning support Have deep familiarity with US electrical codes and standards — including the National Electrical Code (NFPA 70/NEC), NFPA 70E, IEEE standards (e.g., 1584 for arc flash), and UL/ANSI equipment standards (e.g., UL 891, UL 1558) — and with utility interconnection processes Have hands-on experience producing and reviewing electrical construction documents, single-line diagrams, and equipment specifications, and can interpret data center floor plans and technical layouts with confidence Have strong knowledge of power distribution and cooling infrastructure in high-availability data center environments Are fluent in power systems analysis and comfortable running or critically reviewing studies in tools such as SKM, ETAP, or EasyPower Understand critical power topologies (2N, N+1, distributed redundant, block redundant) and can articulate the trade-offs between them for different reliability and cost targets Have working knowledge of HV/MV substations, on-site generation, and energy storage integration, and how each shapes the overall electrical architecture Have hands-on experience with prefabricated and modular data center electrical infrastructure — design for offsite manufacture, modular skids/e-houses, and the interfaces between prefabricated components and onsite assembly Have worked directly with electrical equipment manufacturers, A/E consultants, and contractors, and can evaluate products and designs on technical merit, not just datasheet claims Hold a bachelor's degree in Electrical Engineering or a closely related field, or have equivalent practical experience; Professional Engineer (PE) licensure is valued but not required Communicate clearly with both technical peers and non-specialist stakeholders, and are comfortable defending a design position under scrutiny from partners and internal reviewers Strong candidates may also have Experience owning the electrical basis of design or reference architecture for a hyperscale or large colocation program, and driving its adoption across multiple sites or by external build partners A track record building modular prefabricated products in the electrical or mechanical scope of a data center, and driving designs toward offsite manufacturing Background in medium-/high-voltage distribution, on-site generation, or battery energy storage system (BESS) integration, and how those shape the building-side electrical design Exposure to liquid-cooled infrastructure and its implications for electrical room layout and load distribution Prior work at a hyperscaler, colocation provider, or MEP consultancy serving large data center clients Direct project experience delivering data centers in multiple US markets (e.g., Virginia, Texas, Arizona, Ohio, Oregon) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Product & Technology Communications Lead to drive visibility for Nebius and our full-stack, purpose-built AI Cloud through impactful storytelling. This is an excellent opportunity for an experienced tech communications professional with strong relationships across tech trade media, new and creator-led media and podcasters, who loves to build. Reporting to the Vice President, Communications – US, you will create strategies, media plans and storylines, partnering closely with our Platform and Product Communications lead and collaborating with the broader Communications, Marketing and Product & Infrastructure teams. This is a hands-on role in which you will manage direct tech media relations in support of new product and infrastructure launches, as well as technology thought leadership and press-facing external speaking opportunities. We’re growing fast, and we need a motivated operator and team player, to turn the pace of our innovation into a clear, credible product and technology story, making sure builders, buyers, the media and influencers can see why it matters. This role is remote based on the West Coast, with a preference for the San Francisco Bay Area. Your responsibilities will include: Launch strategy and planning Develop the communications strategy and media plans for major product and platform launches and technology thought leadership Collaborate closely with the Product & Platform Communications, industry analyst relations and product marketing leads on messaging and storylines that differentiate Nebius in the crowded AI cloud market Map priorities and objectives to key results (OKRs) aligning with Communications leadership Capture and report on insights and measure results against target key results Technical storytelling and credibility Turn deep technical detail into messages and broader storylines that resonate with AI Native, Digital Native and enterprise tech companies. Identify and leverage claims and proof points that will resonate with key audiences , including customer outcomes, performance data, technical deep dives and open-source contributions Media, creator and ecosystem engagement Build relationships with technology, AI and developer media and co-creators on behalf of Nebius Pitch and place stories, run briefings and track what lands Prepare spokespeople for press briefings, interviews and speaking opportunities Support ecosystem moments such as conferences, partner and customer announcements We expect you to have: Strong recent experience in technology communications, product PR or a closely related field, and a track record of demonstrated results Demonstrated depth in AI, cloud and infrastructure, and the technical fluency to engage meaningfully with more technical press and our internal Product & Infrastructure team Exceptional writing and editing, shown through work that is clear, accurate and specific Proven relationships with relevant technology press, co-creator platforms and podcasters Sound judgment on claims, risk and timing. You know what to verify, what to escalate and when to say no Experience influencing stakeholders without formal authority It will be an added bonus if you have: You have worked at an AI lab, hyperscaler, AI cloud or fast-growing infrastructure company You know how to navigate matrix organizations effectively You ae accustomed to working across cultures, regions and time zones Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $121,100 — $151,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Francisco, CA; Bellevue, Wa Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role You’ll join a small infrastructure team with broad, shared ownership — the engineers who keep Niantic Spatial running. The team covers the cloud platform, the developer tooling every engineer depends on, and the edge services our customers’ requests pass through. You’ll work across SRE, infrastructure, and developer platform alongside teammates who know the stack well, and you’ll grow into owning parts of it yourself. Because every engineer here builds on what this team provides, your work will also shape how the whole engineering org builds, ships, and operates. What You'll Do - Cloud and SRE: Build and maintain cloud infrastructure as code, and help improve reliability through monitoring, alerting, and service-level objectives. - Developer Platform: Help run our source control, CI/CD pipelines, and build infrastructure so engineers can ship quickly and safely. - Production Operations: Share on-call, take part in incident response and follow-up, and automate away repetitive operational work. - Edge and Delivery: Help run the edge API gateway, CDN, and authentication and authorization systems with the rest of the team. - Compute and GPU Management: Help provision and monitor compute and GPU capacity across teams. - AI-Assisted Operations: Use AI tools to help build, automate, and maintain our infrastructure, and help shape how the team uses them. What You'll Bring - Years of Experience: 3+ years in infrastructure, SRE, DevOps, or platform engineering. - Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. - Infrastructure as Code: Experience managing infrastructure as code with tools such as Terraform, Pulumi, or similar. - Cloud: Hands-on experience with GCP, AWS, or another major cloud provider in production. - CI/CD: Experience building and maintaining CI/CD pipelines in GitLab, GitHub Actions, or similar. - Containers: Production experience with containers and container orchestration, such as Kubernetes. - Core Technical Skills: Proficiency in at least one programming language such as Python, Go, TypeScript, or C++, plus shell scripting and Linux systems. - AI in Your Workflow: Comfort using AI-assisted tools in your engineering work, or a strong interest in building that habit. We’ll help you ramp up on how we use AI here. Nice to Have - Familiarity with API gateways, load balancers, or CDNs. - Familiarity with modern authentication and authorization, such as OAuth 2.0, OIDC, or cloud IAM. - Experience with GPU workloads or ML infrastructure. - Experience with message queuing systems. Location & Work Model This role is based in our San Francisco or Sunnyvale, CA office, or in Bellevue, WA. We work in a high-collaboration environment and ask team members to be on-site a minimum of 3 days per week. Compensation & Benefits The base salary range for this position is $171,000 - $230,000 for Bay Area candidates and $162,500 - $218,500 for Seattle/Bellevue candidates. Actual salary is based on assessed skills, experience, and location. This role is also eligible for equity, bonus, and benefits. Your recruiter can answer questions about total compensation during the hiring process. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Ukraine; Spain; Slovakia; Serbia; Yerevan; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

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. The loads involved are large enough — and arrive fast enough — that utility supply alone often can't meet the need on the timeline required, and the step-load behavior of large accelerator clusters creates power-quality and ride-through demands that conventional backup-generation designs weren't built for. Anthropic's Data Center Infrastructure team is responsible for solving that problem: delivering facilities that can be energized early, ride through grid disturbances, and present a well-behaved load at the point of interconnection (POI). As a Data Center Power Generation & Microgrids Engineer, you'll own the behind-the-meter generation and storage architecture for Anthropic's data center portfolio. That means the on-site generation fleet — reciprocating engine gensets, gas turbines, fuel cells — and the battery energy storage systems that buffer load steps and provide ride-through. It means the microgrid layer that ties them together: islanding and resynchronization, black-start, load-shedding, and generation dispatch. And it means the grid side: interconnection studies and agreements, IEEE 1547/2800 compliance, and power quality at the point of interconnection. You'll also own our temporary- and bridging-generation strategies — the plans that let a site energize and start serving load before permanent utility service is available, and transition cleanly once it is. This is a deeply cross-functional role. You'll work closely with colleagues across the infrastructure team on where and how generation and storage tie into the site electrical distribution, controls, and SCADA, and with our hardware and compute teams to understand the load characteristics you're designing against. You'll be Anthropic's technical counterpart to on-site generation providers, BESS integrators, utilities, and ISOs/RTOs. Expect roughly 20–35% travel for design reviews, factory witness testing, and site startup. Responsibilities On-site generation engineering Own Anthropic's behind-the-meter generation architecture across the portfolio — prime-mover selection and sizing (reciprocating engines, gas turbines, fuel cells), paralleling topology, redundancy, fuel systems, and emissions controls — and maintain the generation basis of design and technical specifications that build partners and generation providers design against Set the day-one vs. day-N plant sizing and expansion strategy — what the plant needs on day one so it can be expanded or augmented later, and how to add units, storage, or a grid tie to a system already running Characterize the data center load for external generation partners — step changes, ramps, oscillation, fault behavior, and non-IT load — so providers can size and tune their plant against the real duty Model generation response against the load profile of large-scale ML training — step-load acceptance, block loading, transient frequency and voltage response, load rejection — and set the acceptance criteria (e.g., per ISO 8528-5) that generation packages are tested against Develop temporary- and bridging-generation strategies that deliver early site energization ahead of permanent utility service, including the sequencing, protection, and controls changes needed to transition from temporary to permanent power without stranding equipment or capacity Ensure generation designs meet NFPA 37, NFPA 110 where the plant provides emergency or legally required standby power, fuel-gas and fuel-storage codes (e.g., NFPA 54, NFPA 30), and applicable emissions requirements, and coordinate with environmental and permitting counterparts on the technical inputs to air permits Energy storage & microgrid architecture Size and specify battery energy storage systems for ride-through, step-load buffering, and power-quality support — including cell chemistry and enclosure selection, inverter selection (grid-forming vs. grid-following), UL 9540 listing, UL 9540A large-scale fire test data, and NFPA 855 installation requirements — and own the thermal and fire-protection interfaces Define the site microgrid topology and operating modes — grid-parallel, islanded, and black-start — and the transition logic between them, including load-shedding schemes, resynchronization criteria, and the conditions under which the site separates from and reconnects to the utility Specify the functional requirements for the microgrid controller — generation dispatch, set-point coordination across rotating and inverter-based sources, mode management — and drive its implementation, testing, and integration into site SCADA and the electrical power monitoring system (EPMS) Help define the protection and control requirements for generation and storage sources so that interconnection protection, anti-islanding, and source-transfer schemes are consistent from the generator terminals through the point of interconnection Grid interconnection & power quality Lead the technical side of utility interconnection for sites with on-site generation or storage — interconnection applications, studies, and agreements, ISO/RTO processes, IEEE 1547/2800 compliance, and interconnection protection Own power quality at the point of interconnection — flicker per IEEE 1453, harmonics per IEEE 519, voltage regulation, reactive-power and power-factor requirements — and design the generation, storage, and filtering mitigations needed to keep the site within its interconnection limits under real training-load behavior Run or critically review the power-system studies that support interconnection and microgrid design — load flow, short-circuit contribution from rotating and inverter-based sources, transient stability, motor-starting and step-load studies, and electromagnetic-transient studies where inverter controls matter Vendor diligence & delivery Lead technical due diligence on on-site generation providers, BESS integrators, and microgrid-controller vendors — evaluating equipment and controls on engineering merit, stress-testing performance and availability guarantees, and reviewing proposed architectures against Anthropic's basis of design Define the technical performance terms in energy-services agreements with on-site generation providers — availability, power quality, ramp, and ride-through, each with a definition, meter, test protocol, and acceptance criteria — working with energy commercial and legal counterparts Review and disposition design packages, submittals, shop drawings, and deviation requests from generation providers and their EPCs, and hold partners to Anthropic's reliability and maintainability requirements Support commissioning of generation, storage, and microgrid systems — witnessing factory and site acceptance tests, defining and observing integrated systems tests (islanding, resynchronization, black-start, load-step), and resolving field issues against design intent Manage concurrent generation and microgrid scopes across multiple sites, and contribute to the continuous improvement of Anthropic's generation and interconnection design standards as the portfolio and the technology both evolve You may be a good fit if you Have 10+ years of engineering experience in power generation, microgrids, battery energy storage, or utility interconnection, with substantial time spent on on-site or distributed generation for mission-critical, data center, or large industrial loads, and deep hands-on delivery experience in at least one of these areas (generation, storage, microgrids, or interconnection) Have deep hands-on experience with one or more generation technologies — reciprocating engine gensets (diesel and natural gas), gas turbines, or fuel cells — including sizing, paralleling, fuel systems, and emissions controls Understand the thermal generation asset classes — reciprocating engines across the size range (sub-MW through 10–20 MW units), small- and medium-frame combustion turbines, and combined cycles — and how each responds to fast load changes and holds stable islanded operation Understand battery energy storage sizing for a defined duty (ride-through, load-step buffering, peak shaving), inverter selection (grid-forming vs. grid-following), UL 9540 listing, UL 9540A test data, and NFPA 855 installation requirements Understand microgrid architecture end to end — islanding detection and transition, resynchronization, black-start, load-shedding, and generation dispatch Are fluent in interconnection standards and processes — IEEE 1547, IEEE 2800, utility interconnection requirements, and ISO/RTO study and queue processes Are comfortable running or critically reviewing power-system studies — load flow, short-circuit, transient stability, and power quality — in tools such as ETAP, SKM, PSS®E, PSCAD, or EasyPower Hold a bachelor's degree in Electrical Engineering, Power Engineering, or a closely related field, or have equivalent practical experience; Professional Engineer (PE) licensure is valued but not required Have worked directly with generation OEMs, BESS integrators, generation-as-a-service providers, or utilities, and can evaluate equipment and proposals on technical merit rather than datasheet claims Communicate clearly with technical peers, utilities, regulators, and non-specialist stakeholders, and are results-oriented with a bias toward practical solutions and a willingness to pick up work outside your core remit when the team needs it Strong candidates may also have Designed or delivered battery energy storage systems at MW scale Specified or commissioned a microgrid controller for a site that can island and resynchronize Taken at least one large load or generation interconnection from application through agreement HV/MV substation design experience — main one-line development, equipment specification, grounding, and layout — since on-site generation and storage tie in at the substation and the two scopes are tightly coupled A protection-engineering background covering generation and interconnection protection — relay selection and settings, anti-islanding schemes, and coordination between on-site sources and utility protection Experience integrating renewable generation (solar PV, wind) with storage into hybrid behind-the-meter plants Experience on the technical side of air permitting for stationary generation (e.g., Title V, NSR/PSD, or state equivalents) and emissions-control equipment selection Electromagnetic-transient (EMT) modeling experience in PSCAD or EMTP for inverter-based resource and microgrid-transition studies Direct experience with data center, hyperscaler, or other large-campus microgrids, or at a generation provider, BESS integrator, or developer serving those customers A track record of authoring generation or interconnection reference designs or standards that were adopted across multiple sites or by external partners The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: North Macedonia; Bosnia and Herzegovina; Czechia; Croatia; Moldova; Bulgaria; Montenegro Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible