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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. What is the need and role Anthropic's mission depends on compute, and compute depends on power. Today, energy is increasingly the binding constraint on how fast frontier AI infrastructure comes online. The energy team sources, structures, and contracts that power, and its work touches nearly every part of the company and a growing set of people outside it. We're looking for someone to join the energy team in a special projects role: to take on the problems that don't sit inside any one deal or region, and to carry them wherever they lead. That means working in three circles. Inside Compute, with the teams that site, design, build, finance, and operate our data centers. Across Anthropic, with policy, legal, communications, finance, and the other teams that need energy depth or whose work shapes ours. And outside the company, with FERC, state commissions and agencies, RTOs and ISOs, utilities, industry working groups, and other large energy customers. It's a "figure it out / get it done" role for someone who can chase down issues while bringing real depth in energy: the kind of person who can untangle a power delivery problem with design and delivery in the morning, brief the policy team on what a FERC proceeding means for our sites in the afternoon, speak for us on a working group call the next day, and then pick up an unrelated problem the energy team needs solved that week. Much of the job is building coalitions among complex, multi-functional groups of stakeholders, and then running the project all the way to completion. What you'll do 1/ Inside Compute Working with the head of energy, pick up cross-functional problems as they arise that have no natural owner, work them with the teams involved to a decision, process, or tool, then hand them off and move on to the next one. Connect the energy commercial leads with site selection, data center design, delivery, operations, and finance, so that everyone plans on the same assumptions about power: when it arrives, how much, how reliable, and at what cost. Write the strategy documents, decision memos, and leadership updates that explain the energy team's choices to executives who do not work in energy. Build the processes and tools, with Claude, that keep the team's commitments, open decisions, and stakeholder record current, so none of it depends on one person's memory. Run the team's planning rhythm: priorities, headcount plan, consultant roster, and follow-up on open decisions. 2/ Across Anthropic Be the energy team's first point of contact for policy, legal, communications, community relations, finance, and other teams, and make sure their questions get a fast, accurate answer from the right person. Serve as an energy subject matter expert for the policy team and work with them on the company's positions on energy issues. Give communications and community relations plain answers on what a site's power supply means for local rates, reliability, and emissions. Keep what we sign and what we say in public consistent with each other and with Anthropic's ratepayer-protection commitment. Prepare energy team leaders and executives for outside meetings, panels, and testimony, and follow through on what comes out of them. 3/ Outside the company Represent the energy team in the industry working groups, trade associations, large-customer coalitions, and research collaborations we belong to: sit in the room, shape the work, and bring back what matters. Working with policy and legal, engage with FERC, state commissions, agencies and legislatures, and RTO and ISO stakeholder processes on the issues that affect our portfolio. Tell the commercial leads what a proposed tariff or rule does to a deal early enough to change the negotiation. Build and keep relationships with utilities, grid operators, regulators' staff, and counterparts at other large-load customers. Manage the outside counsel, consultants, and analysts who support this work: scope, budget, and quality. You may be a good fit if you Have 6+ years in energy policy, energy markets, or energy strategy. Have built coalitions among complex, multi-functional stakeholder groups, inside and outside your own organization. Have run projects to completion, from an unclear question to a finished result, across teams that do not report to you. Can read a tariff, an energy services agreement, or a FERC order yourself and explain what it means commercially for a large customer. Know how state commissions and RTO or ISO stakeholder processes work in practice. Write quickly and plainly, for executives outside energy and for outside audiences. Have good judgment about what to say in public, who should say it, and when to say nothing. Are comfortable with unscoped work and with switching between very different problems in the same week. Strong candidates may also have Experience with data centers or other large loads, on the customer, developer, or utility side. Commercial experience: time spent negotiating utility service agreements, energy services agreements, or PPAs, or advising the people who do. Time in a chief of staff, strategy, or consulting role. Direct experience in a FERC or state commission proceeding, or in an RTO or ISO working group. Familiarity with gas as well as power. 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 — $405,555 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: London, UK 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 Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Senior Data Center Preconstruction & Capacity Delivery Manager at Anthropic, you'll make sure our EMEA deals are ready to execute before we commit to them, and you'll take time out of every program before the lease is signed. Delivery dates and costs on AI infrastructure deals are largely fixed at signature. What is missed before then is hard to recover afterwards, and our leverage over the schedule is at its highest while the deal is still open. About 75% of your time goes to preconstruction and pre-lease management, from first desktop review through Letter of Intent (LOI) to lease execution. You'll test whether each opportunity can be delivered, rigorously accelerate its program, and shape the deal so that what a developer commits to can be held to, verified and delivered. The other 25% goes to delivery. You'll carry that work through mobilization, embed with the partners building leased and partnered capacity, and lead them to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center. Our EMEA pipeline is getting off the ground, so you'll set the standard for how deals become ready for execution here. This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure. Responsibilities - preconstruction and pre-lease management (about 75%): Lead.  This is a role where leadership trumps management and process.  You will be expected to engage developers, contractors, utilities and our transaction teams early enough to shape the outcome of each deal rather than report on it afterwards. Confirm deal readiness and serve as the gatekeeper to validate transaction viability from LOI through lease execution, ensuring all predevelopment, planning, technical and business requirements are met before commitment Give transaction leads an early delivery view from desktop study on capacity, power, permitting, connectivity, schedule and cost, so that the sites moving to LOI are ones that can be delivered Run independent, evidence-based delivery due diligence on each opportunity, tested against source documents rather than relayed claims, covering capacity, power, permitting, connectivity, procurement, schedule, cost, and whether the developer's team, contractors and supply chain can deliver Interrogate every developer schedule from the native file rather than summary dates, testing logic, durations, production rates and critical paths, planning backwards from commissioning, and establishing the unconstrained date before any commercial protection is added Rigorously accelerate programs during the pre-lease phase by making schedule work a priority for the developer while the deal depends on it, pulling forward design, permitting, power, early works and procurement, and sequencing the build around how capacity turns up Assess contractor and supply-chain capacity and long-lead equipment needs for each opportunity, setting a long-lead strategy that secures delivery capacity ahead of need and making the case for early equipment funding where it protects a date Challenge Total Development Cost and delivery schedules against the assumptions behind Yield-on-Cost and IRR, flagging where time-to-power or cost exposure puts the investment case at risk Shape the delivery terms of the LOI, lease and supporting exhibits with transaction and legal teams, including phasing and target dates, landlord scope, diligence cost, ownership and reliance, risk allocation and governance, and check that the developer's contract with its general contractor carries the same milestones and aligns incentives around accelerated delivery Give deal and delivery leadership a clear go/no-go recommendation at each decision point up to signature, with the risks, conditions and mitigations behind it Keep one delivery-readiness record and one risk register across all EMEA opportunities, assigning every risk to an accountable owner, tracking it to resolution, and escalating where cost or schedule is threatened Direct owner's representatives and third-party advisers and assure what they produce, bringing design and engineering, cost, schedule, commercial, contracts and procurement into a single view of risk and readiness Develop and refine the preconstruction playbook, a reference log of unit costs and benchmarks, and the operating model needed to scale the function, using AI tools including Claude for first-pass assessment, document review and benchmarking so your time goes to judgment and negotiation Prepare and present regular executive reporting on readiness and risk for each opportunity and across the portfolio, including time from signature to construction start, risks found before versus after signature, and baseline-to-actual variance, supporting forward capacity planning and strategic decision-making Responsibilities - delivery leadership (about 25%): Document the baseline at signature for design, budget, schedule, long-lead position, open risks and conditions, so delivery starts from an assured position whether you carry the project forward yourself or hand it to a delivery colleague Partner with landlords and developers post-deal to serve as Anthropic's primary point of contact, coordinating across internal stakeholders, tracking construction progress, and facilitating critical information exchange between development partners and Anthropic stakeholders You will be expected to be at one or more project sites in adequate amount to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner. You are expected to be a force multiplier that develops and enhances the skillset that development partners, contractors, and key trades bring to the project(s) you are overseeing.  That means being a subject matter expert in the various cross functional elements of data center delivery and increasing the team's performance with that knowledge and commitment to alignment. Represent Anthropic in key technical and operational decisions required by partners during the development process, ensuring our infrastructure requirements are met while maintaining strong partnerships Drive seamless handoffs to operational state with heavy focus on engagement across networking and deployment teams, enabling rapid workload turn-ups and minimizing time-to-production Identify and mitigate risks throughout the delivery lifecycle, proactively addressing blockers that could impact timeline, cost, or technical requirements, and feed what you learn on site back into diligence and the playbook You may be a good fit if you: Have 8+ years of experience in preconstruction, development, or cost and commercial management on data center or other large mission-critical programs within EMEA, including time leading delivery on site.  You won't have a big direct team to delegate to but will instead be able to treat the entire cross functional organizations around each deal and jobsite as your team. Have a track record of testing developer and contractor claims on cost, schedule, power and permitting against source documents, and of telling a deal team when a date does not hold up. Have taken time out of programs before construction started, and can show how.  You read a native schedule fluently and know which levers in design, permitting, power and procurement move a date. Have shaped delivery terms in development, lease or construction agreements, working with legal teams, and have led tendering and bid analysis.  You understand how cost and schedule flow through to the investment case. Have a strong understanding of the end to end (dirt to delivery) data center development process to include entitlements and permitting, planning and supply chain, execution, commissioning, and handover. You are not an administrator but an active player in the arena comfortable making decisions without the need to consult across multiple external parties. You should understand the nuances of data center design and construction across EMEA markets- who the players are, how power and permitting differ, what contractual norms get in the way of speed of delivery, how teams can be incentivized to build and deliver faster than normal. Have built or scaled a team or function, including directing third-party advisers. In this role you will often be on an island and responsible for your own destiny.  You will have free rein to develop your own approaches with the mission guidance being your only bounds.  No one will be there to empower your efforts, you will create your own influence by building relationships and diving in at all phases to deliver success. You must thrive operating with ambiguity and have a willingness to own outcomes, knowing that the buck stops with you. It's a bonus if you: Understand AI/ML infrastructure requirements, including high-density power and advanced cooling systems Have had preconstruction or leadership positions (Preconstruction Manager, General Superintendent, Project Manager) within a GC, EPC or developer on hyperscale data center projects or in self performance of hyperscale data center development projects. Prioritize extreme ownership and have the ability to create winning cultures across diverse teams and job sites. Are deeply familiar with lease negotiations, construction contracts, or real estate development processes and have strategies to move those arrangements from traditionally transaction and risk managed arrangements to collaborative efforts that align incentives around accelerated delivery of facilities. Have secured long-lead equipment or manufacturing capacity ahead of a signed deal, including through frame agreements or early funding arrangements. Have run quantitative schedule risk analysis, or built parametric cost benchmarks across a portfolio of sites. Speak additional European languages. 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: £1 — £1 GBP 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: London, United Kingdom Workplace: hybrid About Global University Systems (GUS) Global University Systems is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement. Position As the Business Development Executive for Student Recruitment, you will be tasked to represent a university/college brand and promote this university/college in the Student Recruitment market via a number of marketing and business development methods. Your goal is to network with agents and partners to generate interest amongst the student population market, so the student ultimately decides to enrol with the university/college you are representing. You will be tasked to explore emerging and innovative ways of developing new revenue streams as well as maintaining the traditional and proven methods of success. This is a very exciting position if you are looking to join a world-leading business that has a key focus on career growth and being a world leader in the education market. You will have the opportunity to travel, attend, and host industry leading events and be part of a business who has a proven track record of success in student recruitment. Requirements · Must have experience minimum 2 years experience with international student recruitment for Higher Education · Must have an established relevant agency network. · Have a solid understanding of industry trends and inform upon strategic planning and forecasting. · You will have developed and trained potential agents on how to promote the brand you represent. · You will have experience as sourcing agents from fairs, business trips, inquiries, referrals, in general searches in line with business development responsibilities. · You will have experience in generating new revenue from existing streams and accounts as well as identifying new opportunities. · You will have a proven track record of assisting in identifying and supporting developing potential business partners and growing existing client relationships. · You will have experience performing client research including (but not limited to) meeting/engaging with key players in the industry. · Ensuring that all relevant product developments, including changes to admission, compliance, and course requirements or start dates (for example) are communicated externally. · Be experienced in preparing, assisting, and delivering customer/ agent presentations. · Have a general understanding of market trends in education- private and public sectors- and (international) student recruitment for your region. · Strong communication skills in all forms, including written, oral, email, telephone, and presentations is necessary. · Proven success in sales ability and full and demonstrable knowledge of the sales process · Previous experience in international student recruitment · A sound understanding of regional marketing activities across different educational product types bachelor’s degree (UK equivalent) Other Information The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and comply with the Code of Conduct, as well as equality and diversity, health and safety, and safeguarding policies.

Location: London, United Kingdom Workplace: hybrid About Global University Systems (GUS) Global University Systems is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement. Position As the Business Development Executive for Student Recruitment, you will be tasked to represent a university/college brand and promote this university/college in the Student Recruitment market via a number of marketing and business development methods. Your goal is to network with agents and partners to generate interest amongst the student population market, so the student ultimately decides to enrol with the university/college you are representing. You will be tasked to explore emerging and innovative ways of developing new revenue streams as well as maintaining the traditional and proven methods of success. This is a very exciting position if you are looking to join a world-leading business that has a key focus on career growth and being a world leader in the education market. You will have the opportunity to travel, attend, and host industry leading events and be part of a business who has a proven track record of success in student recruitment. Requirements · Must have experience minimum 2 years experience with international student recruitment for Higher Education · Must have an established relevant agency network. · Have a solid understanding of industry trends and inform upon strategic planning and forecasting. · You will have developed and trained potential agents on how to promote the brand you represent. · You will have experience as sourcing agents from fairs, business trips, inquiries, referrals, in general searches in line with business development responsibilities. · You will have experience in generating new revenue from existing streams and accounts as well as identifying new opportunities. · You will have a proven track record of assisting in identifying and supporting developing potential business partners and growing existing client relationships. · You will have experience performing client research including (but not limited to) meeting/engaging with key players in the industry. · Ensuring that all relevant product developments, including changes to admission, compliance, and course requirements or start dates (for example) are communicated externally. · Be experienced in preparing, assisting, and delivering customer/ agent presentations. · Have a general understanding of market trends in education- private and public sectors- and (international) student recruitment for your region. · Strong communication skills in all forms, including written, oral, email, telephone, and presentations is necessary. · Proven success in sales ability and full and demonstrable knowledge of the sales process · Previous experience in international student recruitment · A sound understanding of regional marketing activities across different educational product types bachelor’s degree (UK equivalent) Other Information The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and comply with the Code of Conduct, as well as equality and diversity, health and safety, and safeguarding policies.

Location: Munich, Germany About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Manager, Enterprise Sales, DACH & CEE As a Sales Manager at Anthropic, you'll lead a team of Enterprise Account Executives driving the adoption of safe, frontier AI by securing strategic deals. You'll leverage your leadership and consultative sales expertise in the Industries sector to propel revenue growth while developing a high-performing team of AEs. Working closely with Applied AI Engineering and Product teams, you'll help Industries customers embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with decision-makers and ensure differentiated value across the Industries landscape. The ideal candidate will have a passion for developing people, identifying market opportunities within Industries, and executing strategies to capture them. By leading the deployment of Anthropic's emerging products, you will help customers to obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Build and lead a high-performing team of Enterprise Account Executives focused on Industries, providing coaching, mentorship, and guidance to drive team success Develop and implement sales strategies tailored to Industries procurement cycles and budgeting processes to meet and exceed team revenue quotas Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with specific focus on Industries buying cycles and decision-making processes Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales for all applications Enable your team to have credible technical conversations about AI applications in Industries while maintaining appropriate guardrails Build strong partnerships across the organization to drive strategic initiatives within the Industries sector Identify and execute on new market opportunities and use cases for Anthropic's AI solutions within departments, research centers, and administrative offices Help your team navigate complex stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus Gather and synthesize customer feedback from users to inform product direction and enhance customer experience for Industries Build and continuously refine the Industries sales methodology by incorporating learnings into playbooks and best practices You may be a good fit if you have: 15+ years of enterprise sales experience in Industries technology, preferably driving adoption of SaaS or emerging technologies 5+ years of sales leadership experience, ideally 3+ leading teams within the Enterprise segment focused on Industries in DACH and CEE Ability to source and attract extraordinary talent with great cultural fit and enable them continuously Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations serving Industries Strong technical acumen and ability to understand complex AI solutions and their applications in Industries, with experience enabling teams to have credible technical conversations with their stakeholders Track record of successful partnership with technical teams throughout the customer journey Deep understanding of Industries buying cycles, procurement frameworks, and key pain points Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives Experience managing complex enterprise sales cycles and helping AEs secure strategic deals Strong operational rigor in pipeline management, forecasting, and sales metrics specific to Industries sales cycles Excellent communication skills and ability to build relationships across all levels, from analysts and researchers to senior executives in Industries Passion for AI technology and commitment to its safe and responsible development. 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: €310.000 — €380.000 EUR 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: Anywhere in Belgium HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ THE ROLE ⭐️ Large employers and public organisations don't buy health insurance from a vendor pitch. They buy from a partner they trust: someone they met, heard on stage, or sat next to at the right dinner. Your mission: bring Alan in front of the right decision makers (CEOs, CFOs, CHROs, hospital and public-sector HR leaders) and turn these conversations into qualified pipeline for our Enterprise and Public Sales teams. YOUR KEY MISSIONS 1. Pick our battles. Start from our 2027 Enterprise & Public target accounts. Map where their decision makers spend time (chambers of commerce, employers' organisations, HR communities, federations) and build a prioritised plan for the year: which networks, which events, which rooms. 2. Open the right rooms. Lead our presence in HR think tanks (starting with the Agora des DRH). Secure speaking slots. Design and host intimate dinners and roundtables on topics HR leaders care about: absenteeism, burnout, return to work after a serious illness. 3. Turn presence into pipeline. Work hand in hand with Enterprise and Public AEs: who we need to meet, with which message and which next step. Every lead you generate has a named owner and a clear follow-up. 4. Measure what works. Track every initiative down to qualified leads and pipeline. Show what pays off, and re-allocate your time and budget during the year. You'll work closely with Enterprise and Public Sales, our Brand Manager, Product Marketing and Business Strategy & Operations. ⭐ IS IT YOU WE'RE LOOKING FOR? - 4+ years in B2B field marketing, event or account-based marketing, or community building, ideally with senior HR or C-level audiences. - You know the Belgian business landscape and you're at ease in rooms full of executives. - You design experiences people want to attend, and you never forget why we're in the room. - You think in pipeline, not in attendance: you can show how your past initiatives turned into business. - You're organised, autonomous and comfortable building a new function from scratch. - Native or near-native in Dutch and/or French (both is a strong plus), and fluent in English. Experience in insurance, employee benefits, HR tech or healthcare is a plus. For this opportunity, we are aiming to hire within the C1 -D https://alan.com/en/careers/a/salary-equitylevel range. 🙌 PERKS & BENEFITS - Fair rewards: generous equity packages complement your base salary. - Brussels HQ + flexible office. - Top-of-the-range equipment. - Flexible vacation policy and flexible working hours. - 100% covered health insurance for you and your family. - Learning budget and a dedicated coach from day one. - Extended parental leave. We hire people, not roles. If you're excited about this opportunity but don't check every box, we'd love to hear from you.

Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic Australia, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across Australia and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally within Australia and the APAC region to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns Collaborate across time zones with global teams while serving as the technical expert for the Australia market You may be a good fit if you have: 10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers in Australia or the APAC region, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Ability to work effectively across cultures and time zones as part of a global team 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: Munich, Germany About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Technical Deployment Lead on the Forward Deployed Engineering team, you will lead the delivery of custom agentic AI solutions for enterprise customers. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes Each engagement runs from SOW through production deployment. Forward Deployed Engineers build the technical solution; you drive the delivery plan, product scoping, stakeholder relationships, and the organizational complexity of deploying agents into complex enterprise environments. You need to be credible in architecture conversations with engineering leads and equally comfortable running executive briefings with C-suite sponsors. You won't write production code, but you'll pressure-test technical decisions and make real-time trade-offs on scope and priority when things go sideways on an engagement. This is also a builder's role. We're in the early innings of an emerging motion - the playbooks, the delivery patterns, the repeatable IP that makes the next engagement faster and better don't exist yet. The TDLs who thrive here are the ones who get that codifying what works is as important as the engagement in front of them right now. Responsibilities Own the technical delivery plan for each engagement. Work from the signed SOW to a sequenced roadmap with clear milestones, dependencies, success criteria, and value hypotheses that FDEs execute against. Lead delivery discovery. Map customer workflows and constraints in depth, pressure-test the scoped MVP against what you find, and shape the solution architecture with the FDEs. Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. Own product scoping during delivery. Author requirements, prioritize the engineering backlog, manage scope against success criteria, and hold the bar for what good looks like for the people and enterprises who will use the product. Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders. Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors. Contribute reusable delivery patterns. Capture what works on your engagements and feed field signal to the Programs Leads, Product, and Research. Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics. Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed. Run engagement-level delivery operations: sprint ceremonies, milestone reviews, and engagement reporting that feed the team's post-sales cadence and dashboards. Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (up to 25–50% travel expected). You May Be a Good Fit If You Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role. Operate like the CEO of your engagement. You take initiative without a mandate, make decisions with incomplete information, and lead rather than wait for instructions. Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Have experience in a specialized vertical (life sciences, pharmaceutical, retail, mining, agriculture, etc.). Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs. Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making - ideally across multiple workstreams in regulated industries. Have executive presence - polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments. Thrive in ambiguity and bring structure where none exists. Have a builder's mindset - you're here to create a function, not just join one. 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: Paris, France 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. À propos du poste En tant que responsable du déploiement technique au sein de l'équipe Claude Agentic Solutions, vous aurez pour mission de fournir des solutions d'agents d'IA personnalisées aux entreprises clientes dans des secteurs hautement réglementés. Vous serez responsable d'engagements à forte valeur ajoutée dans le cadre de collaborations directes avec les clients en vue de créer et déployer des agents dans leurs processus métier les plus critiques. Vous ferez partie de l'équipe fondatrice : à ce titre, vous nous aiderez à élaborer des manuels techniques et à définir les processus et les modèles répétables nécessaires pour faire évoluer cette dynamique émergente. Vous assurerez le support de notre mission sur le terrain, assurerez une prestation de classe mondiale et ferez régulièrement part de vos observations à nos équipes en charge des produits et de la recherche. Vous serez responsable des engagements de bout en bout, du cahier des charges au lancement de la production. Vous travaillerez en collaboration avec les ingénieurs déployés sur le terrain qui conçoivent la solution technique, tout en prenant en charge la portée des produits, la gestion des parties prenantes, la mesure de la valeur et la complexité organisationnelle liée au déploiement d'agents IA dans des environnements d'entreprise. Vous devez posséder des compétences techniques suffisantes pour mener des discussions sur l'architecture avec les parties prenantes du secteur de l'ingénierie et suffisamment d'aisance pour présenter des exposés aux dirigeants dans le cadre de leurs missions. Responsabilités Gérer le planning technique de livraison pour chaque engagement. Structurer les cahiers des charges en précisant clairement le champ d'application, les étapes, les dépendances, les critères de réussite et les hypothèses de valeur. Traduire les objectifs commerciaux du client en feuille de route séquencée que les FDE exécutent. Superviser la découverte technique : cartographier les flux de travail clients, identifier les contraintes, définir le périmètre MVP et façonner l'architecture de la solution pour les déploiements d'agents personnalisés. Diriger l'exécution et la livraison des travaux d'ingénierie au quotidien au sein des équipes d'Anthropic et des clients. Assurer l'avancée des projets de manière fluide et séquencée. Effectuer des compromis en temps réel sur la portée et la priorité afin de préserver le chemin critique. Garantir la portée des produits pour les missions sur le terrain : d éfinir le MVP, rédiger la documentation des exigences, prioriser le backlog d’ingénierie et gérer le périmètre par rapport aux critères de succès à mesure que les exigences évoluent. Prenez en charge la relation client tout au long de la livraison. Organiser des briefings exécutifs, gérer les communications avec les parties prenantes concernant les responsables techniques et l'approvisionnement et représenter Anthropic auprès des hauts responsables commerciaux et techniques en termes de crédibilité technique. Maîtriser la mesure de la valeur et du ROI : définir les hypothèses d'impact, établir les bases de référence et les indicateurs clés de performance, effectuer des mesures avant et après le déploiement et communiquer les résultats aux commanditaires exécutifs. Codifier des modèles de solutions réutilisables, des cadres d'évaluation et des manuels techniques. Consigner les bonnes pratiques des différentes interactions et transmettre les signaux du terrain aux équipes Produit et Recherche afin d'améliorer notre plateforme et nos modèles. Naviguer dans la complexité des entreprises et des réglementations : audits de sécurité, approbations juridiques, processus d'approvisionnement, exigences de conformité et dynamique organisationnelle. Gérer la portée et le changement : gérer l'évolutivité des exigences, définir les attentes, négocier les modifications de contrats, identifier les risques en amont et les signaler avec un contexte clair, le cas échéant. Gérer les opérations de livraison : cérémonies de sprint, revue des étapes et rapports d'avancement. Se rendre sur les sites des clients pour nouer des relations, débloquer les livraisons et accélérer l'adoption (objectif de 25 à 50 %). Profil recherché Pus de 5 ans d'expérience en leadership technique auprès des clients. Cela peut concerner la gestion de l'engagement technique, la gestion de programmes techniques ou la gestion de produits techniques, les fondateurs/startups, les profils techniques connexes, les services professionnels, le conseil ou les logiciels d'entreprise. Avoir mis en production des solutions agentiques basées sur l'IA, le ML ou le LLM. Vous comprenez les modèles applicables aux solutions, les approches d'intégration et les réalités du terrain. Vous êtes capable de mener des discussions sur l'architecture avec les parties prenantes de l'ingénierie, d'évaluer les compromis techniques et de tester les décisions techniques sous pression. Vous n'écrirez pas de code de production, mais serez responsable de la direction technique des engagements aux côtés des ingénieurs déployés sur le terrain (FDE). Vous avez une expérience de la réalisation de projets techniques complexes et à fort enjeu pour des entreprises clientes, dont les résultats dépendent d'une coordination étroite et d'une prise de décision rapide, idéalement dans le cadre d'activités multiples au sein de secteurs réglementés. Vous avez une personnalité affirmée : vous êtes à l’aise, crédible et capable de représenter Anthropic auprès des hauts dirigeants dans des environnements à forts enjeux. Vous surmontez les contextes ambigus et apportez une structure là où il n'y en a pas. Vous avez une mentalité de bâtisseur : vous êtes ici pour créer une fonction, pas pour l'occuper. Atouts supplémentaires Expérience dans le domaine des services financiers, des soins de santé, des sciences de la vie ou de l'industrie pharmaceutique. Expérience dans une société d'ingénierie déployée sur le terrain ou dans des sociétés de services professionnels et de conseil. Compréhension exceptionnelle des capacités et des limites des LLM. Expérience avec les industries réglementées et les exigences de conformité. Expérience de la gestion d'équipes de livraison avec des ingénieurs intégrés sur les sites des clients. Familiarité avec les frameworks d'agents IA, les modèles d'utilisation d'outils et les architectures d'orchestration. About the Role As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis. You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors. Responsibilities Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against. Lead technical discovery: map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments. Run day-to-day engineering execution and delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. Own product scoping for field engagements: d efine the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve. Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders. Own value measurement and ROI: define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors. Codify reusable solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models. Navigate enterprise and regulatory complexity: security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics. Manage scope and change: handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed. Run delivery operations: sprint ceremonies, milestone reviews, and progress reporting. Travel to customer sites to build relationships, unblock delivery, and accelerate adoption (25–50% expected). You May Be a Good Fit If You Have 5+ years of customer-facing technical delivery leadership — this could be technical engagement management, technical program management, or technical product management, founders/startups, technical-adjacent backgrounds, professional services, consulting, or enterprise software. Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs. Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making, ideally across multiple workstreams in regulated industries. Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments. Thrive in ambiguity and bring structure where none exists. Have a builder's mindset — you're here to create a function, not join one. Strong Candidates May Also Have Experience in financial services, healthcare/life sciences, or pharmaceutical verticals. Background at a Forward Deployed Engineering company or professional services and consulting firms. Exceptional understanding of LLM capabilities and limitations. Experience with regulated industries and compliance requirements. Experience managing delivery teams with embedded engineers at customer sites. Familiarity with AI agent frameworks, tool use patterns, and orchestration architectures. 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: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Join Anthropic's Customer Success team in a high-visibility & high-impact role driving AI adoption across a small number of strategic accounts in our Enterprise Tech segment. As our dedicated Outcomes AI Manager for Strategic Tech Customers  you’ll be their partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas. You'll work with a book of global technology leaders to actively deploy AI and reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization.  The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. Responsibilities: Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion Own customer operations across the lifecycle of each account, maintaining a structured operational assessment (customer readiness, operational health, strategic alignment, enablement strategy, adoption intelligence) that grounds comprehensive account and success plans and Executive Business Reviews Become an expert in Anthropic's products across API, Claude Code and Cowork, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of each customer, and the patterns you see across your other Tech accounts, to proactively drive consumption planning and the value story behind it, developing credible ROI hypotheses and quantifying outcomes that build the case for continued and expanded investment. Monitor usage patterns and identify optimization opportunities across Claude surface areas (API, Claude Code, Cowork) to drive full value from contracted commitments Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Ruthlessly prioritize across the account's many business units and workstreams, building programmatic, repeatable motions You may be a good fit if you have: 6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or Strategy Consulting Native English and Spanish Experience working with F500 technology companies, SaaS platforms, or digital-first businesses at the exec level—ideally including high-growth and established tech companies. You understand what it means to lead organization-wide change or adoption programs (multiple functions, hundreds of users) for a product that requires C-suite sponsorship Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes — you can run multiple enterprise motions in parallel without letting any account go quiet. Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Passion for AI and interest in responsible development of advanced systems. You have built with Claude Code, automating your own workflows with agents, skills, and tooling. A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality 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: $200,000 — $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience Work on high-performance, large-scale ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes You'll thrive in this role if you Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly take on tasks outside your job description to support the team Enjoy pair programming and collaborative work Are eager to learn more about machine learning research Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term. Sample Projects Optimizing the throughput of novel attention mechanisms Comparing compute efficiency of different Transformer variants Preparing large-scale datasets for efficient model consumption Scaling distributed training jobs to thousands of GPUs Designing fault tolerance strategies for our training infrastructure Creating interactive visualizations of model internals, such as attention patterns 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: $500,000 — $850,000 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: Warsaw, Poland; Madrid, Spain; Lisbon, Portugal; Bucharest, Romania; Yerevan, Armenia; Tbilisi, Georgia CloudLinux is the maker of Imunify360 — a suite of security products protecting millions of websites across the web hosting industry — and of CloudLinux OS , the operating system behind a large share of the world's shared hosting. To learn more about our company and products, visit our websites: cloudlinux.com and imunify360.com . Alongside those established product lines we run a small innovation team whose job is to find and prove the next ones. We are looking for a Product Owner to lead that team: a small, senior, fully remote squad of engineers that takes new product concepts from idea to a working MVP in customers' hands, then hands proven products to a product line and moves on to the next concept. You will be accountable for the pipeline of ideas, the speed and rigour with which they are tested, and the evidence behind every go / no-go recommendation. This is a hands-on lead role, not pure people management: roughly 50% discovery and leadership (customer conversations, scoping, prioritisation, coaching, reporting to the CPO) and 50% building (prototypes, spikes, design and code review, demo stands). You will not be the team's only builder, but you must be able to build a credible prototype yourself and hold a technical opinion about every part of it. You don't need to arrive as an expert in web hosting or security. If you have taken a product from nothing to its first paying customers before — as a founder, an early engineer, or the lead of an incubation team — and you get deep into unfamiliar technical territory fast, we will teach you the market. What the team works on The innovation team sits across CloudLinux and Imunify and owns the product concepts that do not yet have a home in an established product line. Ideas come from customer conversations, industry events, telemetry across more than 80,000 servers and the CPO’s strategy; the team’s job is to turn them into something a customer will pay for within a quarter, using AI coding agents throughout. What you will own Discovery and delivery Run the pipeline of product concepts: capture, size and rank ideas with their assumptions written down, and keep the backlog of bets visible to the CPO and leadership. Take each funded concept to a working MVP on a fixed timebox, typically one quarter, with a named customer or design partner testing it. Define success criteria up front and report against them with real numbers rather than adjectives: usage, conversion, willingness to pay, support load. Make the go / no-go call honestly: hand proven products to a product line with a written runbook and roadmap, and capture what was learned from concepts that did not prove out. Report status and risk to the CPO weekly; every item carries an owner and a due date. Prototyping and technical direction Choose the fastest credible build for each concept — buy, borrow, open source or write — with the trade-offs made explicit. Build prototypes and demo stands yourself where that is the quickest route to evidence; review designs and code on everything the team ships. Keep MVPs production-worthy enough to run on real customer servers: packaging, safe rollout, rollback and observability from the first release. Work with the architecture group and the product teams so a successful MVP can be adopted without a rewrite. People Lead a small distributed team: 1:1s, goal setting, performance reviews, and career development. Hire: define the profile, run technical interviews, onboard, and mentor engineers. Set the working agreements that make fast async work possible — written decisions, public-by-default communication, demos over status meetings. AI-augmented engineering We evaluate engineers partly on how effectively they work with coding agents, and in the innovation team this is the main lever on speed. As the lead you model and coach it: prompt specificity, review quality on agent-generated code, context provision, iteration and error recovery, and end-to-end task completion. Expect to use agents to build prototypes, generate test corpora and draft customer-facing material. First 90 days 30 days: Complete 1:1s with every team member and produce a written read on the team's strengths and gaps; review the concepts in flight and the evidence behind each; spend time with sales, support and at least three hosting customers. 60 days: Own the concept pipeline and the weekly status; publish success criteria for every active concept; ship at least one prototype or demo yourself. 90 days: Present a ranked portfolio of bets for the next two quarters agreed with the CPO, including one go / no-go recommendation backed by customer evidence and a staffing recommendation. Requirements Must-haves: 5+ years as a software engineer, with 2+ years leading a small team (team lead, tech lead with people responsibility, founder or engineering manager) building new products in a product company or startup. A track record of taking at least one product from concept to first paying customers, and of stopping one that did not work. Strong Linux proficiency at a software engineer level; comfortable building and reviewing code in a modern language (Python, Go, TypeScript) and debugging live systems on the box. Practical product discovery skills: customer interviews, assumption mapping, pricing experiments, and reading usage and conversion data yourself rather than via reports. Experience mastering a complex technical domain quickly and making credible architectural decisions in it. Demonstrated people leadership: 1:1s, performance conversations, hiring, and growing engineers. Experience working in an agentic / AI-assisted development workflow. Professional proficiency in English, written and spoken. Availability to work EU hours. Nice-to-haves: Experience in the web hosting ecosystem: cPanel/WHM, Plesk, DirectAdmin, or running infrastructure for a hosting provider. Background in security products — runtime protection, web application firewalls, malware detection, vulnerability management or patching. Experience with freemium or product-led growth models and self-serve billing. Familiarity with the Node.js or Python runtimes and their package ecosystems. Comfortable presenting to customers and at industry events. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Delhi, India; Cairo, Egypt Summary We are looking for an experienced ServiceNow Cloud Migration Engineer to lead and carry out the migration of a ServiceNow platform from on-premise (self-hosted) to the cloud, preferably Google Cloud Platform (GCP). You will assess the current ServiceNow environment, plan the migration, and move the instances, data, customisations and integrations to the cloud securely, with minimal downtime and no data loss. You will work closely with platform owners, infrastructure, security and business teams through to go-live. ⚠️ Must Have: Proven hands-on experience migrating ServiceNow from on-premise (self-hosted) to the cloud . Applications without ServiceNow on-premise to cloud migration experience will not be considered. Responsibilities Assess the current on-premise ServiceNow environment, including instances, versions, customisations, scoped apps, integrations and data volumes. Plan the migration approach, timeline, cutover and rollback plans. Prepare and build the target cloud environment, preferably on GCP, including networking, security, access and connectivity. Migrate ServiceNow instances, configurations, customisations and data to the cloud. Reconfigure and test integrations, MID Servers, IntegrationHub, REST/SOAP and LDAP/SSO connections after migration. Review and fix customisations and scripts so they work in the cloud and on the target version, upgrading where needed. Run full testing (functional, integration, performance and user acceptance testing), using the Automated Test Framework (ATF) where possible. Make sure the migrated platform meets security, compliance and data residency requirements. Keep downtime to a minimum during cutover, then provide hypercare support after go-live. Create clear documentation, runbooks and handover materials for the platform and operations teams. Requirements Must: Hands-on experience migrating ServiceNow from on-premise (self-hosted) to the cloud. Bachelor’s degree in Computer Science, IT or a related field. 6+ years of ServiceNow experience (administration, development or architecture). Strong knowledge of the ServiceNow platform: instance management, upgrades, cloning, update sets, scoped applications, data import/export and the CMDB. Experience with ServiceNow integrations: MID Server, IntegrationHub, REST/SOAP APIs, LDAP/SSO. Strong ServiceNow scripting skills (JavaScript, Business Rules, Script Includes, Client Scripts). Understanding of cloud infrastructure, networking and security. Strong problem-solving, documentation and communication skills. Preferred Experience with Google Cloud Platform (GCP), especially migrating workloads to GCP. Experience with ServiceNow modules beyond the core platform: ITSM (Incident, Problem, Change, Request) HR Service Delivery (HRSD) Legal Service Delivery , including contract management Others such as ITOM, ITAM, CSM, GRC/IRM or SPM ServiceNow certifications: Certified System Administrator (CSA), Certified Application Developer (CAD), Certified Implementation Specialist (CIS-ITSM, CIS-HR, etc.) or Certified Technical Architect (CTA). Google Cloud certifications: Associate Cloud Engineer or Professional Cloud Architect. Experience in the Saudi or GCC market, including local data residency requirements.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render is looking for a Staff Developer Relations Engineer to grow usage and word of mouth for Render among developers building full-stack and AI applications. You'll be Render's technical face on stage, in workshops, at meetups, and in the developer and AI ecosystems where our users build. DX at Render has two halves. DX Engineering builds and maintains Render's tutorials, sample apps, templates, and video library. DevRel takes Render to developers in person and through the communities and partners they trust, then brings what it hears back into the product. You'll set the technical bar and direction for DevRel, and you'll be the person developers and partners go to for a deep, candid answer about running AI workloads on Render. You'll build the demos and workshop material behind your own talks. When something you build deserves a long life, DX Engineering turns it into a maintained example or template. This is a remote role within the US, with the option to work out of our headquarters in San Francisco. Expect regular travel for conferences and events. WHAT YOU'LL DO - Represent Render at conferences, meetups, hackathons, podcasts, and livestreams, with talks and live demos on building and running AI agents and full-stack apps. - Design and run hands-on workshops and hackathons, from the curriculum to the technical setup behind them. - Set DevRel's technical direction: pick the communities, ecosystems, and events worth investing in, and define what good looks like for talks, workshops, and demos. - Be the technical counterpart for ecosystem partners such as AI frameworks, agent tooling, and open source projects: joint workshops, co-hosted events, and the integrations worth building together. - Go deep in technical communities on GitHub, X, Discord, Reddit, and Hacker News. Answer hard questions, debug real deployments, and show up where Render has a credible voice. - Run the developer feedback loop. Turn what you hear in the field into clear, prioritized input for Product and Engineering, and follow it through until it ships. - Help Render's highest-potential developers and startups go further on the platform through technical deep dives and architecture reviews, and turn them into champions who talk about Render in their own communities. - Raise the bar for the DevRel team through talk reviews, demo reviews, and your own work. - Track impact through activation from events and workshops, community engagement, partner-driven adoption, and the product changes you drove. WHAT WE'RE LOOKING FOR - 8+ years in developer relations, solutions engineering, or software engineering, including at least 3 years in a developer-facing role at a developer tools, cloud, or infrastructure company. - A track record on stage: talks at recognized developer conferences, and workshops you designed and ran yourself. - Experience setting direction for a developer relations program: choosing where to invest, measuring what worked, and changing course. - Hands-on fluency with AI agents: tool calling, MCP servers, LLM APIs, and agent frameworks. You can build a working agent app live and explain what it needs to run in production, such as long-running tasks, sandboxed code execution, and retries. The field is young, so we look at what you've done recently. We don't expect years of experience in it. - The engineering depth to be credible with senior engineers. You can deploy a multi-service app, read logs, trace a failed deploy, and find the root cause in front of an audience. - Working knowledge of cloud infrastructure: containers and Docker, networking basics, CI/CD, environment configuration, and infrastructure as code. - You use coding agents like Claude Code, Codex, or Cursor every day and keep up with the agent ecosystem as it changes. - Examples of developer feedback you turned into product changes: what you heard, the case you made, and what shipped. - Excellent spoken and written communication. You can hold a room of engineers and explain a complex system clearly. NICE-TO-HAVES - Existing relationships in AI framework, agent tooling, or open source communities. - An existing developer audience through talks, livestreams, a newsletter, or social. - Experience starting or growing in-person developer meetups. - Experience with durable workflows, background job systems, or sandboxed code execution. - You've used Render before, professionally or on side projects. PROJECTS YOU MIGHT WORK ON - A workshop on deploying production agents with Render Workflows, run at a major AI conference and then at our own meetups. - A hackathon co-hosted with an AI framework partner, including the starter kit and the technical support on the day. - The talk track for an upcoming launch, delivered by you and the rest of DevRel. - A recurring field report for Product on where developers get stuck running agents on Render. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: San Francisco, CA | New York City, NY; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's go-to-market teams are scaling quickly, and the decisions they make, from who to sell to and how to cover them to where to invest next, are only as good as the intelligence and infrastructure underneath them. As a Data Engineer on the GTM Systems data foundations team, you'll help build that layer: the data products that give sellers, operators, and analysts a rich, current, and trusted picture of the market, and the engineering rigor that lets our GTM systems run reliably as the business grows. This is an engineering role that goes beyond pipelines. You'll treat GTM data as a product and a platform: built once, kept current, and available wherever people work. Alongside the build, you'll help shape what the data means: how attributes are defined, which sources are trusted, and how the business puts them to use. The role sits at the intersection of the sales organization, the data organization, and the systems that data flows through. You'll partner closely with Sales Strategy and Operations, Finance, Data Science, and the central data engineering team. Key responsibilities Bring disparate internal and external sources together: orchestrate, model, and normalize first-party product and revenue data alongside third-party data into one usable understanding of the company landscape Build and maintain identity and entity resolution, so every source attaches to one trusted record for each company and the relationships between companies are clear Help build the canonical layer where key attributes are defined once and mean the same thing everywhere, with clear sourcing logic, provenance, and freshness Turn data into intelligence: scores, signals, and AI-generated attributes that help GTM teams prioritize and act, held to the same quality bar as any other source Deliver that intelligence to the surfaces where teams work, including the CRM, and bring production discipline to how data moves through those systems Operate what you build as a living system, with observability, data quality, cost, security, and access controls designed in, so problems surface before the field sees them Partner with the owners of GTM processes such as planning, segmentation, and routing to settle definitions, make clear commitments, and communicate tradeoffs Make the platform easy for other teams to build on, so work is contributed once and not rebuilt in silos Minimum qualifications Experience as a data engineer or analytics engineer building and operating production pipelines and data models Strong SQL and Python, and experience with modern transformation and orchestration tooling on a cloud data warehouse Experience making messy data from many sources usable, including record matching, deduplication, and reconciling conflicting values Familiarity with go-to-market data and the CRM systems it flows through Judgment beyond the pipeline: weighing data sources, shaping definitions with business partners, and making calls on data quality Clear written and verbal communication with technical and non-technical partners Regular hands-on use of AI tools in your engineering work Preferred qualifications 5+ years of experience in data engineering, analytics engineering, or GTM data roles Experience building a shared data product or platform that several teams depend on and contribute to Experience with company data such as firmographics, corporate hierarchies, or master data management Experience using LLMs inside data pipelines and evaluating their output Hands-on Salesforce experience, including working at large data volumes Experience supporting GTM planning processes such as territory design, segmentation, or scoring The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $345,000 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: Seattle; New York City; San Francisco Workplace: Hybrid ABOUT MOTHERDUCK Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans. WHAT YOU WILL DO We’re looking for a Product Marketer who lives at the intersection of words, product, and customers. You’ll take what our engineers build and turn it into stories that make developers and data teams lean in. You’ll own positioning and messaging, write the pages people actually read, and make sure our sales team walks into every conversation ready. This role can be based in our Seattle, San Francisco or New York City office. Key responsibilities - Write. A lot. Website copy, landing pages, launch posts, product one-pagers, emails. You care about every word and you know when to cut. - Help shape how we tell our story. Work alongside product, sales, and leadership on who we’re for, why we’re different, and how to say it in a way a data engineer won’t roll their eyes at... then keep it fresh as the product and market evolve. - Build the web and the artifacts. Ship landing pages, comparison pages, demos and interactive assets... ideally hands-on with AI tools rather than waiting in a queue for design and eng. - Arm the sales team. Create battlecards, pitch decks, objection handling, and competitive takes that AEs and Customer Engineers actually use in deals. Sit in on calls and bring what you hear back into the messaging. - Run launches. Plan and ship product launches end to end with product, engineering, DevRel and growth. - Stay close to customers and the market. Talk to users, track competitors (Snowflake, Databricks, BigQuery and friends), and turn what you learn into sharper stories. - Work AI-first. Use Claude and other tools to research, draft, prototype and ship. Help set the bar for how marketing at MotherDuck uses AI. WHAT YOU BRING - 3 to 10 years in product marketing, ideally at a B2B software or developer-focused company - Excellent writing. Clear, punchy, and specific... you can make a technical idea land in one sentence - A real knack for positioning: you've taken a product to market and can show the before and after - Experience building web pages and landing pages, and comfort shipping them yourself with modern tools - A track record of sales enablement that sales teams actually used - Genuine curiosity about technical products. You don't need to write SQL for a living, but you want to understand how the thing works - AI fluency. You already use AI daily to do better work, and you're excited to push that further - A bias for action. You'd rather ship a good version this week than a perfect one next quarter   WHAT PEOPLE SHOULD BE SAYING IF YOU’RE DOING DUCKING AWESOME - “I sent the new landing page to a prospect and they replied ‘this is exactly our problem.’ Didn’t have to explain a thing.” - “Honestly, I understand our own feature better after reading the launch post.” - “The battlecard came up in the call and I had the answer before they finished the question.” - “They showed me a workflow they built with AI last week and now half of marketing uses it.” WHAT WE PROVIDE - Feather-ruffling compensation – competitive salary and stock options so you have a stake in our flock’s success. - Top-notch healthcare coverage – 100% paid medical, dental, and vision for employees, plus 80% coverage for dependents (because we care about your whole nest). - Flexible PTO – take the time you need to recharge, explore, or just have a lazy day by the pond. - 401k plan – because even ducks need to plan for the future. - Flexible work environment - spend most of the week in the office collaborating with the flock, and work from wherever you're most productive the rest of the time. Specifics are role dependent and as agreed upon with your manager   WHY MOTHERDUCK We're a ~110-person, Series B team building on one of the fastest-growing open source projects in data. We're small enough that your work shows up on the website next week, and growing fast enough that there's always something new to figure out. How we work comes down to four values: - Thoughtfulness. We care about the people we work with and the craft behind what we ship. - Flexibility. Plans change. We adapt without drama. - Unorthodoxy. We question the default way of doing things, including in marketing. - Agency. We own outcomes and don't wait for permission. PLEASE APPLY Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified?  Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications. MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Location: Berlin Workplace: Hybrid ABOUT MOTHERDUCK Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans. WHAT YOU WILL DO The Database team is the bridge between DuckDB and the cloud. We own the core server and client extension logic that lets DuckDB run seamlessly, whether it's local or in the cloud, and we work in C++ right alongside the DuckDB codebase itself. Our mission is to push the boundaries of embedded database performance, distributed execution, and user experience, all while staying closely connected to DuckDB Labs (the team behind DuckDB) to align on APIs and shape what's next. Day to day, we drive major projects in dual execution, resource assignment, and system reliability, while also handling incoming issues and lending our DuckDB expertise to other teams. We collaborate closely across MotherDuck and with the wider DuckDB community, making sure people get the best of both local and cloud worlds. It's a small, high-agency team with big ambitions... the kind of place where engineers own impactful projects, share what they learn, and help shape how modern analytics gets built. This role is ideally based in Amsterdam or Berlin, but we are also open to great candidates remotely in Europe. Key Responsibilities: - Own major projects in our dual execution stack, so DuckDB can process queries seamlessly whether they're running locally or in the cloud. - Help build a cloud platform that dynamically assigns resources, so DuckDB stays efficient whether someone's running a tiny workload or pushing our biggest, highest-memory instances. - Lead cross-functional work with our frontend, platform, and infrastructure teams to keep the user experience coherent end to end. - Push the state of the art in embedded database performance, distributed execution, and DuckDB internals. - Deepen your DuckDB expertise and share it with the rest of the company through mentorship and documentation. - Work directly with our support team to debug issues, learn from real usage patterns, and prioritize the improvements that matter most. - Improve systems holistically... spotting architectural challenges early and clearing bottlenecks before they become problems. - Mentor teammates and help raise the bar for engineering practices across the team. - Work closely with DuckDB Labs (which grew out of the Database Architectures group at CWI, where vectorized execution and DuckDB were born) to help align on APIs and shape where DuckDB goes next. WHAT YOU BRING - You've built and shipped complex backend systems, and you know what great looks like. - You're fluent in a backend language like C++, Rust, Java, or similar systems languages, and you're comfortable working close to the metal. (C++ and Rust are the biggest plus here, and we love a great Java engineer too.) - A good foundation in query engines, execution plans, indexing, and performance optimization techniques. - Hands-on experience with DuckDB is a huge plus, no matter what level you're coming in at. - You've worked with cloud infrastructure, networking, and building low-latency distributed systems. - You can scope and lead projects that span multiple collaborators and cross-functional dependencies. - You take pride in clear thinking, careful design, and thoughtful tradeoffs. - You're comfortable mentoring peers and helping build a collaborative, high-agency environment. - You enjoy engaging with the wider community, whether that's open-source conversations or working directly with DuckDB Labs. WHAT WE PROVIDE - The opportunity to participate and contribute to DuckDB, one of most popular modern open source analytical databases. - Competitive salary and stock options so you have a stake in our flock’s success. - Flexible time off – take the time you need to recharge, explore, or just have a lazy day by the pond. - A good pension plan - Legendary company events – we bring the whole flock together once a year for unforgettable team gatherings a year to keep our bonds strong. - Hybrid work environment – Spend three days a week in the office collaborating with the flock, and work from wherever you’re most productive the rest of the time—whether that’s your home office, a coffee shop, or a peaceful lakeside retreat. We have to warn you though, most of us like the office so much we come anyway. It’s on the river Ij, with a great lunch every day. PLEASE APPLY Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified?  Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications. MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Location: New York City Workplace: Hybrid ABOUT MOTHERDUCK Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans. WHAT YOU WILL DO The Database team is the bridge between DuckDB and the cloud. We own the core server and client extension logic that lets DuckDB run seamlessly, whether it's local or in the cloud, and we work in C++ right alongside the DuckDB codebase itself. Our mission is to push the boundaries of embedded database performance, distributed execution, and user experience, all while staying closely connected to DuckDB Labs (the team behind DuckDB) to align on APIs and shape what's next. Day to day, we drive major projects in dual execution, resource assignment, and system reliability, while also handling incoming issues and lending our DuckDB expertise to other teams. We collaborate closely across MotherDuck and with the wider DuckDB community, making sure people get the best of both local and cloud worlds. It's a small, high-agency team with big ambitions... the kind of place where engineers own impactful projects, share what they learn, and help shape how modern analytics gets built. This role is ideally based in New York City but also open to great candidates remotely on the East Coast. Key Responsibilities: - Own major projects in our dual execution stack, so DuckDB can process queries seamlessly whether they're running locally or in the cloud. - Help build a cloud platform that dynamically assigns resources, so DuckDB stays efficient whether someone's running a tiny workload or pushing our biggest, highest-memory instances. - Lead cross-functional work with our frontend, platform, and infrastructure teams to keep the user experience coherent end to end. - Push the state of the art in embedded database performance, distributed execution, and DuckDB internals. - Deepen your DuckDB expertise and share it with the rest of the company through mentorship and documentation. - Work directly with our support team to debug issues, learn from real usage patterns, and prioritize the improvements that matter most. - Improve systems holistically... spotting architectural challenges early and clearing bottlenecks before they become problems. - Mentor teammates and help raise the bar for engineering practices across the team. - Work closely with DuckDB Labs (which grew out of the Database Architectures group at CWI, where vectorized execution and DuckDB were born) to help align on APIs and shape where DuckDB goes next. WHAT YOU BRING - You've built and shipped complex backend systems, and you know what great looks like. - You're fluent in a backend language like C++, Rust, Java, or similar systems languages, and you're comfortable working close to the metal. (C++ and Rust are the biggest plus here, and we love a great Java engineer too.) - A good foundation in query engines, execution plans, indexing, and performance optimization techniques. - Hands-on experience with DuckDB is a huge plus, no matter what level you're coming in at. - You've worked with cloud infrastructure, networking, and building low-latency distributed systems. - You can scope and lead projects that span multiple collaborators and cross-functional dependencies. - You take pride in clear thinking, careful design, and thoughtful tradeoffs. - You're comfortable mentoring peers and helping build a collaborative, high-agency environment. - You enjoy engaging with the wider community, whether that's open-source conversations or working directly with DuckDB Labs. WHAT WE PROVIDE - The opportunity to participate and contribute to DuckDB, one of most popular modern open source analytical databases. - Feather-ruffling compensation – competitive salary and stock options so you have a stake in our flock’s success. - Top-notch healthcare coverage – 100% paid medical, dental, and vision for employees, plus 80% coverage for dependents (because we care about your whole nest). - Flexible PTO – take the time you need to recharge, explore, or just have a lazy day by the pond. - 401k plan – because even ducks need to plan for the future. - Legendary company events – we bring the flock together twice a year for unforgettable team gatherings a year to keep our bonds strong. - Flexible work environment - spend most of the week in the office collaborating with the flock, and work from wherever you're most productive the rest of the time. Specifics are role dependent and as agreed upon with your manager PLEASE APPLY Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified?  Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications. MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.