Qureos Mentor

Anthropic

Anthropic is an AI safety and research company dedicated to developing reliable, interpretable, and steerable AI systems. Their flagship product, Claude, serves as an AI assistant capable of handling tasks at any scale. The company engages in research across various domains, including natural language processing, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.

<div><div><h2 class="jobSectionHeader"><b>About Anthropic</b></h2>
<p>
Anthropic&rsquo;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.</p></div><div><h2 class="jobSectionHeader"><b>
About the role</b></h2>
<p>
The Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse &mdash; keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team, you will build the systems that make risk decisions in real time, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, in-app purchases, and promotions. The ideal candidate can see things from attackers' perspectives, anticipate their responses to countermeasures, and never loses sight of the fact that a false positive here is a paying customer.</p>
<p>
Payments fraud is more externally coupled than most trust and safety work &mdash; you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities:</b></h2>
<ul><li>Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints</li>
<li>Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting</li>
<li>Engineer fraud signals at scale &mdash; device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage &mdash; and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases</li>
<li>Own a portfolio of metrics &mdash; loss rate, dispute rate, authorization approval impact, and false-positive rate &mdash; rather than optimizing any single number</li>
<li>Lead investigations into emerging fraud patterns, building multi-layered defenses designed for attacker adaptation rather than point-in-time rules</li>
<li>Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners</li>
</ul><h2 class="jobSectionHeader"><b>Minimum Qualifications:</b></h2>
<ul><li>Proficiency in Python, SQL, and data analysis tools</li>
<li>Experience building or operating fraud, risk, or abuse detection systems in production</li>
<li>Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders</li>
</ul><h2 class="jobSectionHeader"><b>Preferred Qualifications:</b></h2>
<ul><li>8+ years of industry software engineering experience, with a focus on payments fraud or risk</li>
<li>Fluency with payments rails: card networks, payment service providers (e.g., Stripe, Adyen), in-app purchase platforms (Apple, Google), refund flows, and the chargeback and dispute lifecycle</li>
<li>Direct experience combating fraud typologies such as card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud</li>
<li>Understanding of fraud loss accounting &mdash; fraud loss vs. dispute fees vs. card network monitoring programs (e.g., VDMP, i VFMP, Mastercard ECP) &mdash; and why chargeback rate thresholds carry existential stakes</li>
<li>Experience building hybrid rules-and-ML risk systems: real-time scoring at authorization plus post-authorization review workflows</li>
<li>Experience at a marketplace or subscription business, or on a processor-side or issuer-side risk team</li>
</ul></div><div><div><div><div><p>
The annual compensation range for this role is listed below.</p>
<p>
For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div></div><p>
Annual Salary:</p><p>
$320,000 - $485,000 USD</p></div></div><div><h2 class="jobSectionHeader"><b>
Logistics</b></h2>
<p><b>
Minimum education: </b>Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience</p>
<p><b>
Required field of study: </b>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><b>
Minimum years of experience: </b>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><b>
Location-based hybrid policy:</b> 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.</p>
<p><b>
Visa sponsorship:</b> 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.</p>
<p><b>
We encourage you to apply even if you do not believe you meet every single qualification.</b> 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.<br>
<br>
<b>Your safety matters to us.</b> 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&mdash;visit anthropic.com/careers directly for confirmed position openings.</p>
<h2 class="jobSectionHeader"><b>
How we're different</b></h2>
<p>
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 &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; 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.</p>
<p>
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 &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2 class="jobSectionHeader"><b>
Come work with us!</b></h2>
<p>
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. <b>Guidance on Candidates' AI Usage:</b> Learn about our policy for using AI in our application process.</p></div></div>

Staff+ Software Engineer, Financial Fraud

<div><div><h2 class="jobSectionHeader"><b>About Anthropic</b></h2>
<p>
Anthropic&rsquo;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.</p></div><div><h2 class="jobSectionHeader"><b>
About the role</b></h2>
<p>
As a Senior Media Manager at Anthropic, you will lead all paid media for our enterprise business and have key contributions for our broader brand media initiatives. You'll own how Anthropic and Claude reach the people who decide how organizations adopt AI, working within the Brand &amp; Integrated Marketing team to turn commercial objectives into paid media plans that reach executives and consumers at the moments that matter.</p>
<p>
In this role, you'll own the enterprise paid media strategy end to end, including channel mix, budget allocation, campaign architecture, and measurement, across paid social, programmatic, video, broadcast, audio, out-of-home, and trade and industry media. You'll develop a point of view on where our investment belongs and make the case for it with evidence in smart, strategic ways that can be applied to our entire media mix. You'll partner closely with Product Marketing, Growth, Sales, and Marketing Data Science, and you'll manage the agency, vendor, and platform relationships that bring the work to life, bringing both strategic judgment and hands-on rigor to the execution.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities</b></h2>
<ul><li>Own Anthropic's paid media strategy for the enterprise business, from channel mix and budget allocation through campaign execution and measurement</li>
<li>Lead paid media planning and buying across the full channel set (paid social, programmatic, video, broadcast, audio, out-of-home, print, and trade and industry media) reaching the executives and functional leaders who shape how their organizations adopt AI</li>
<li>Partner with brand marketing stakeholders to ensure media learnings drive better decisions across every initiative</li>
<li>Serve as the media point of contact for the enterprise business, partnering with Product Marketing, Growth, and Sales to translate commercial objectives into media strategy</li>
<li>Allocate and optimize the enterprise media budget across channels based on performance data, market dynamics, and strategic priorities</li>
<li>Develop an independent point of view on channel mix and audience strategy, and advocate for it with evidence rather than deferring to agency recommendations</li>
<li>Build a durable understanding of how business decision-makers consume media, and use it to challenge assumptions carried over from consumer planning</li>
<li>Manage agency, vendor, and platform partner relationships day to day, holding partners accountable for strategic alignment and execution quality</li>
<li>Work with Marketing Data Science to build the measurement frameworks that show whether our paid media worked: brand lift, reach and frequency modeling, attribution, and pipeline impact</li>
<li>Present media strategy, performance insights, and recommendations to marketing leadership and cross-functional stakeholders</li>
<li>Track the media landscape, emerging platforms, and competitive activity across the AI industry to identify opportunities before they are obvious</li>
<li>Build and refine planning, execution, and reporting processes that scale as the organization grows</li>
</ul><h2 class="jobSectionHeader"><b>You may be a good fit if you</b></h2>
<ul><li>Extensive experience in paid media planning and strategy, including owning channel mix, budget allocation, and audience strategy for campaigns at meaningful scale on both B2B and B2C brands</li>
<li>Have planned and bought across both upper-funnel and lower-funnel paid channels, and understand how each behaves differently</li>
<li>Bring an independent point of view on where media investment belongs, and can defend it with evidence</li>
<li>Are highly analytical and comfortable using data to inform strategy, optimize campaigns, and demonstrate return on investment</li>
<li>Have managed media budgets and made real trade-offs between competing priorities</li>
<li>Are skilled at briefing agencies well and holding partners accountable for both strategy and execution</li>
<li>Can translate business objectives into actionable media plans, and communicate strategy clearly to technical and non-technical audiences</li>
<li>Work effectively in fast-moving, ambiguous environments and can balance longer-term planning with rapid iteration</li>
<li>Enjoy collaborating across marketing, product, and communications teams</li>
<li>Are excited about Anthropic's mission to develop AI that is safe and beneficial</li>
</ul><h2 class="jobSectionHeader"><b>Strong candidates may also have</b></h2>
<ul><li>Experience planning paid media against business decision-makers in enterprise software, B2B technology, or professional services</li>
<li>Familiarity with the media environments where business audiences actually spend time, including business news, trade and industry media, professional networks, and business podcasts</li>
<li>Background spanning both brand and performance marketing, with an understanding of how media strategy shifts across the funnel</li>
<li>Familiarity with marketing mix modeling, brand lift studies, multi-touch attribution, and other advanced measurement approaches</li>
<li>Experience connecting paid media performance to downstream pipeline and revenue outcomes</li>
<li>Experience with international media planning and navigating diverse market dynamics</li>
<li>Experience building media capabilities and processes at a high-growth company</li>
<li>Understanding of the AI industry landscape, including key audiences, competitive dynamics, and emerging use cases</li>
</ul></div><div><div><div><div><p>
The annual compensation range for this role is listed below.</p>
<p>
For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div></div><p>
Annual Salary:</p><p>
$255,000 - $320,000 USD</p></div></div><div><h2 class="jobSectionHeader"><b>
Logistics</b></h2>
<p><b>
Minimum education: </b>Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience</p>
<p><b>
Required field of study: </b>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><b>
Minimum years of experience: </b>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><b>
Location-based hybrid policy:</b> 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.</p>
<p><b>
Visa sponsorship:</b> 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.</p>
<p><b>
We encourage you to apply even if you do not believe you meet every single qualification.</b> 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.<br>
<br>
<b>Your safety matters to us.</b> 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&mdash;visit anthropic.com/careers directly for confirmed position openings.</p>
<h2 class="jobSectionHeader"><b>
How we're different</b></h2>
<p>
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 &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; 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.</p>
<p>
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 &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2 class="jobSectionHeader"><b>
Come work with us!</b></h2>
<p>
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. <b>Guidance on Candidates' AI Usage:</b> Learn about our policy for using AI in our application process.</p></div></div>

Senior Media Manager

<div><div><h2 class="jobSectionHeader"><b>About Anthropic</b></h2>
<p>
Anthropic&rsquo;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.</p></div><div><h2 class="jobSectionHeader"><b>
About the role</b></h2>
<p>
As an Enforcement Analyst, you will be responsible for reviewing content and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your initial focus will center on reviewing flagged activity related to cyberattacks, malware development, and offensive exploitation; however, this position may later expand to include broader areas of enforcement.</p>
<p>
Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.</p>
<p>
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.</p>
<h2 class="jobSectionHeader"><b>
Key responsibilities</b></h2>
<ul><li>Review flagged content and accounts to make accurate, well-documented enforcement decisions in line with our usage policies</li>
<li>Detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations</li>
<li>Triage and escalate novel, ambiguous, or high-severity cases to appropriate stakeholders</li>
<li>Provide detailed feedback to the Safeguards policy design team on policy gaps surfaced through real enforcement scenarios</li>
<li>Partner with Engineering and Data Science teams by surfacing detection model errors and quality signals from review to improve precision and recall</li>
<li>Maintain high accuracy and consistency standards across review queues</li>
<li>Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions</li>
</ul><h2 class="jobSectionHeader"><b>Minimum Qualifications</b></h2>
<ul><li>Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research</li>
<li>Experience performing content review, abuse investigations, or policy enforcement at volume</li>
<li>Proficiency in SQL and/or Python for data analysis and threat detection</li>
<li>Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams</li>
<li>Experience working with generative AI products, including writing effective prompts for content review and enforcement</li>
</ul><h2 class="jobSectionHeader"><b>Preferred qualifications</b></h2>
<ul><li>Experience in trust &amp; safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company</li>
<li>Experience with large language models and an understanding of how AI technology could be misused for cyber operations</li>
<li>Experience operating within abuse monitoring programs or enforcement review systems</li>
<li>Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space</li>
<li>Experience working with government agencies, regulated environments, or information sharing communities</li>
</ul></div><div><div><div><div><p>
The annual compensation range for this role is listed below.</p>
<p>
For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div></div><p>
Annual Salary:</p><p>
$285,000 - $330,000 USD</p></div></div><div><h2 class="jobSectionHeader"><b>
Logistics</b></h2>
<p><b>
Minimum education: </b>Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience</p>
<p><b>
Required field of study: </b>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><b>
Minimum years of experience: </b>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><b>
Location-based hybrid policy:</b> 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.</p>
<p><b>
Visa sponsorship:</b> 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.</p>
<p><b>
We encourage you to apply even if you do not believe you meet every single qualification.</b> 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.<br>
<br>
<b>Your safety matters to us.</b> 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&mdash;visit anthropic.com/careers directly for confirmed position openings.</p>
<h2 class="jobSectionHeader"><b>
How we're different</b></h2>
<p>
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 &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; 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.</p>
<p>
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 &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2 class="jobSectionHeader"><b>
Come work with us!</b></h2>
<p>
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. <b>Guidance on Candidates' AI Usage:</b> Learn about our policy for using AI in our application process.</p></div></div>

Safeguards Enforcement Analyst, Cyber Harm

<div><div><h2 class="jobSectionHeader"><b>About Anthropic</b></h2>
<p>
Anthropic&rsquo;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.</p></div><div><h2 class="jobSectionHeader"><b>
About the role</b></h2>
<p>
As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the DACH market.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities</b></h2>
<ul>
<li><p>Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close</p>
</li>
<li><p>Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns</p>
</li>
<li><p>Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications</p>
</li>
<li><p>Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices</p>
</li>
<li><p>Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the DACH enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers</p>
</li>
<li><p>Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency</p>
</li>
</ul><h2 class="jobSectionHeader"><b>You may be a good fit if you have</b></h2>
<ul>
<li><p><b>Native German speaker</b> with excellent written and verbal communication skills in German and English</p>
</li>
<li><p>8+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies</p>
</li>
</ul><ul><li><p>Specialised sales industries experience: Telco, Manufacturing, Retail, Energy and Utilities</p>
</li>
</ul><ul><li><p>A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases</p>
</li>
<li><p>Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments</p>
</li>
<li><p>Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies</p>
</li>
<li><p>Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process</p>
</li>
<li><p>Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives</p>
</li>
<li><p>Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the DACH market</p>
</li>
<li><p>A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities</p>
</li>
<li><p>A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use</p>
</li>
</ul><h2 class="jobSectionHeader"><b>What We Offer</b></h2>
<ul>
<li><p>Competitive base salary and commission structure</p>
</li>
<li><p>Equity participation in Anthropic's growth</p>
</li>
<li><p>Comprehensive benefits package</p>
</li>
<li><p>Opportunity to shape the AI industry in DACH and EMEA</p>
</li>
<li><p>Professional development and career growth opportunities</p>
</li>
</ul><p><b>Location:</b> Munich, Germany</p></div><p></p><div><h2 class="jobSectionHeader"><b><br>
Logistics</b></h2>
<p><b>
Minimum education: </b>Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience</p>
<p><b>
Required field of study: </b>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><b>
Minimum years of experience: </b>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><b>
Location-based hybrid policy:</b> 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.</p>
<p><b>
Visa sponsorship:</b> 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.</p>
<p><b>
We encourage you to apply even if you do not believe you meet every single qualification.</b> 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.<br>
<br>
<b>Your safety matters to us.</b> 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&mdash;visit anthropic.com/careers directly for confirmed position openings.</p>
<h2 class="jobSectionHeader"><b>
How we're different</b></h2>
<p>
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 &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; 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.</p>
<p>
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 &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2 class="jobSectionHeader"><b>
Come work with us!</b></h2>
<p>
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. <b>Guidance on Candidates' AI Usage:</b> Learn about our policy for using AI in our application process.</p></div></div>

Enterprise Account Executive, Industries Generalist

<div><div><h2 class="jobSectionHeader"><b>About Anthropic</b></h2>
<p>
Anthropic&rsquo;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.</p></div><div><h2 class="jobSectionHeader"><b>
About the Role</b></h2>
<p>
We&rsquo;re looking for a creative, high-agency content producer to help us tell internal stories about the people and work at Anthropic. In this role, you&rsquo;ll work closely with the Internal Editorial Lead to discover and share stories about the progress, moments, and people that define our culture through videos, audio, physical artifacts &mdash; whatever format makes the most sense for the material.</p>
<p>
We&rsquo;re looking for someone who is <i>extremely</i> creative: the work is wildly interesting, and the way we share it should be equally compelling. This person should be ambitious in their pursuit of thinking outside the box, willing to take risks, and not be precious about the final product being a little rough around the edges. (Turnaround times will be quick!)</p>
<h2 class="jobSectionHeader"><b>
What You'll Do</b></h2>
<ul><li>Work with the Internal Editorial Lead to identify the stories</li>
<li>Tell those stories in unexpected ways (e.g. through videos, in-office pop-up exhibits, podcast series)</li>
<li>Own the end-to-end content production process in-house</li>
</ul><h2 class="jobSectionHeader"><b>What We're Looking For</b></h2>
<ul><li>A knack for finding and building narratives</li>
<li>Experience producing content in different mediums (e.g. video, audio, physical artifacts)</li>
<li>Experience in high-trust, time-sensitive environments</li>
<li>Ability to move extremely quickly and fluidly</li>
<li>Based in San Francisco</li>
</ul></div><div><div><div><div><p>
The annual compensation range for this role is listed below.</p>
<p>
For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div></div><p>
Annual Salary:</p><p>
$295,000 - $345,000 USD</p></div></div><div><h2 class="jobSectionHeader"><b>
Logistics</b></h2>
<p><b>
Minimum education: </b>Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience</p>
<p><b>
Required field of study: </b>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><b>
Minimum years of experience: </b>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><b>
Location-based hybrid policy:</b> 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.</p>
<p><b>
Visa sponsorship:</b> 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.</p>
<p><b>
We encourage you to apply even if you do not believe you meet every single qualification.</b> 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.<br>
<br>
<b>Your safety matters to us.</b> 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&mdash;visit anthropic.com/careers directly for confirmed position openings.</p>
<h2 class="jobSectionHeader"><b>
How we're different</b></h2>
<p>
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 &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; 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.</p>
<p>
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 &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2 class="jobSectionHeader"><b>
Come work with us!</b></h2>
<p>
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. <b>Guidance on Candidates' AI Usage:</b> Learn about our policy for using AI in our application process.</p></div></div>

Internal Content Producer

<div><div><h2 class="jobSectionHeader"><b>About Anthropic</b></h2>
<p>
Anthropic&rsquo;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.</p></div><div><h2 class="jobSectionHeader"><b>
About the role</b></h2>
<p>
As a Salesforce Developer at Anthropic, you will design, build, and maintain the Salesforce platform that powers our Partnerships business: deal registration, partner attribution, co-sell, and cloud marketplace operations. You'll work both autonomously and collaboratively across Revenue Operations, Partnerships, and Finance to translate partner-channel requirements into scalable Apex, Flow, and integration solutions. We are an AI-first systems team, and you'll be expected to use Claude and our in-house AI development tooling as a core part of how you write, review, and ship code, always against our house standards for flexibility, maintainability, and scale.</p>
<h2 class="jobSectionHeader"><b>
Key responsibilities</b></h2>
<ul>
<li><p>Design and build Partnerships infrastructure in Salesforce, including deal registration workflows, channel-conflict detection, partner attribution, and partner account hierarchy</p>
</li>
<li><p>Develop and maintain Apex (triggers, services, selectors, batch/queueable), Lightning Web Components, and Flow automation following our house Apex standards and trigger framework</p>
</li>
<li><p>Build and own integrations between Salesforce and partner-ecosystem systems such as cloud marketplaces (AWS, GCP, Azure), PRM tools, and middleware</p>
</li>
<li><p>Configure partner-facing portals with appropriate sharing, visibility, and license-model design</p>
</li>
<li><p>Use Claude and our internal AI development tooling as a first-class part of your build and code-review workflow</p>
</li>
<li><p>Partner with Revenue Operations analysts to ensure data-model decisions support downstream partner performance reporting</p>
</li>
<li><p>Partner with DevOps on release management for your work: sandbox strategy, source control, peer review, and deployment via SFDX/metadata tooling</p>
</li>
<li><p>Ensure appropriate controls, test coverage, and documentation are in place for an effective control environment</p>
</li>
<li><p>Operate with ambiguity in a rapidly changing business, resolve problems independently, and propose solutions that scale</p>
</li>
</ul><h2 class="jobSectionHeader"><b>Minimum qualifications</b></h2>
<ul>
<li><p>Hands-on Salesforce development experience (Apex, SOQL, LWC, Flow) in a production org</p>
</li>
<li><p>Experience building or maintaining partner/channel functionality in Salesforce: deal registration, partner portals, attribution models, or co-sell opportunity management</p>
</li>
<li><p>Experience integrating Salesforce with external platforms via REST/Bulk APIs, middleware (Workato, Mulesoft, or similar), or direct callouts</p>
</li>
<li><p>Fluency with SFDX, source-controlled metadata, and a sandbox-to-prod release process with peer review</p>
</li>
<li><p>Active use of AI-assisted development tools (Claude, Copilot, Cursor, or similar) as part of how you write and review code, and the ability to speak to how you steer and verify their output</p>
</li>
<li><p>Basic SQL skills and comfort working alongside a data warehouse</p>
</li>
<li><p>Effective communication with sales, partnerships, finance, and engineering stakeholders</p>
</li>
</ul><h2 class="jobSectionHeader"><b>Preferred qualifications</b></h2>
<ul>
<li><p>5+ years of hands-on Salesforce development experience</p>
</li>
<li><p>Salesforce Platform Developer I and II certifications</p>
</li>
<li><p>Advanced Administrator or Application/System Architect certification</p>
</li>
<li><p>Deep understanding of Salesforce platform constraints: governor limits, bulkification, sharing and visibility, recursion control</p>
</li>
<li><p>Cloud-marketplace integration experience (AWS, GCP, Azure)</p>
</li>
<li><p>Familiarity with partner-specific integration platforms such as Workspan</p>
</li>
<li><p>Proven experience scaling Salesforce in a high-growth GTM environment</p>
</li>
</ul></div><div><div><div><div><p>The annual compensation range for this role is listed below.</p>
<p>
For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div></div><p>
Annual Salary:</p><p>
$220,000 - $270,000 USD</p></div></div><div><h2 class="jobSectionHeader"><b>
Logistics</b></h2>
<p><b>
Minimum education: </b>Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience</p>
<p><b>
Required field of study: </b>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><b>
Minimum years of experience: </b>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><b>
Location-based hybrid policy:</b> 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.</p>
<p><b>
Visa sponsorship:</b> 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.</p>
<p><b>
We encourage you to apply even if you do not believe you meet every single qualification.</b> 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.<br>
<br>
<b>Your safety matters to us.</b> 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&mdash;visit anthropic.com/careers directly for confirmed position openings.</p>
<h2 class="jobSectionHeader"><b>
How we're different</b></h2>
<p>
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 &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; 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.</p>
<p>
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 &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2 class="jobSectionHeader"><b>
Come work with us!</b></h2>
<p>
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. <b>Guidance on Candidates' AI Usage:</b> Learn about our policy for using AI in our application process.</p></div></div>

Salesforce Developer, Partnerships

<div><div><h2 class="jobSectionHeader"><b>About Anthropic</b></h2>
<p>
Anthropic&rsquo;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.</p></div><div><h3 class="jobSectionHeader"><b>
About the role</b></h3>
<p>
We're hiring an Engineering Manager to lead the team that builds and runs anthropic.com and claude.com, brand web surfaces where most of the world meets Claude and Anthropic for the first time. They carry our research, product launches, policy work, and brand, and they ship at the pace of a fast-moving company.</p>
<p>
You'll manage a small, senior team of web engineers, owning the full stack behind our marketing web: CMS architecture, the publishing pipeline, the design system in code, and the campaign and launch experiences tied to model and product releases. This role sits inside Brand Creative and partners closely with design, editorial, marketing, and product growth engineering. We want a player-coach: comfortable setting technical direction without an existing playbook, staying close to the code and the launches, and building the tooling that lets designers and editors publish without an engineer in the loop.</p>
<h3 class="jobSectionHeader"><b>
Responsibilities</b></h3>
<ul><li>Manage and grow the team: coach, hire, and set the bar for craft and reliability</li>
<li>Own the technical roadmap for anthropic.com and claude.com: CMS architecture, publishing workflow, performance, SEO health, localization, the production design system, deploy pipeline, on-call, and incident response</li>
<li>Run launch engineering for model, product, and campaign moments, shipping high-quality pages on tight, shifting timelines without heroics</li>
<li>Build the brand tooling layer: internal tools, integrations, and Claude-in-the-loop workflows that let designers, writers, and marketers publish safely without engineering as a bottleneck</li>
<li>Partner with design and editorial on creative technology, data visualizations, interactive explainers, campaign experiences, that need real engineering, not a template</li>
<li>Align web engineering work with Marketing, Product, Comms, and core Engineering, and say no to what doesn't move brand and business goals</li>
</ul><h3 class="jobSectionHeader"><b>You may be a good fit if you have</b></h3>
<ul><li>10+ years in software engineering, 5+ managing engineers, with that time spent as an engineering manager inside a marketing, brand, or design engineering organization specifically, not just a product engineering one</li>
<li>Owned a high-traffic marketing or brand web surface end to end: CMS, frontend, infrastructure, and the publishing workflow around it</li>
<li>Strong frontend depth yourself, TypeScript, React, modern CSS, a modern headless CMS, and a real preference for staying close to the code</li>
<li>Built tooling that made non-engineers faster and safer, with a concrete story of what changed</li>
<li>Shipped under real launch pressure with cross-functional partners, without dropping the quality bar</li>
<li>Comfortable operating at the seam between Design, Marketing, and Engineering</li>
<li>Deep interest in AI and excitement about putting Claude into the build and publish loop itself, not just on the page</li>
</ul><h3 class="jobSectionHeader"><b>Strong candidates may also have</b></h3>
<ul><li>Held a Head of Web Engineering or equivalent platform lead title at a product company</li>
<li>Built localization and multi region web infrastructure</li>
<li>Come from a company where brand and product web sat close together: design tools, productivity, or developer tools</li>
<li>Led design systems or component library work that shipped to production</li>
</ul></div><div><div><div><div><p>
The annual compensation range for this role is listed below.</p>
<p>
For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div></div><p>
Annual Salary:</p><p>
$460,000 - $460,000 USD</p></div></div><div><h2 class="jobSectionHeader"><b>
Logistics</b></h2>
<p><b>
Minimum education: </b>Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience</p>
<p><b>
Required field of study: </b>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><b>
Minimum years of experience: </b>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><b>
Location-based hybrid policy:</b> 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.</p>
<p><b>
Visa sponsorship:</b> 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.</p>
<p><b>
We encourage you to apply even if you do not believe you meet every single qualification.</b> 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.<br>
<br>
<b>Your safety matters to us.</b> 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&mdash;visit anthropic.com/careers directly for confirmed position openings.</p>
<h2 class="jobSectionHeader"><b>
How we're different</b></h2>
<p>
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 &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; 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.</p>
<p>
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 &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2 class="jobSectionHeader"><b>
Come work with us!</b></h2>
<p>
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. <b>Guidance on Candidates' AI Usage:</b> Learn about our policy for using AI in our application process.</p></div></div>

Manager, Web Engineering

Join Anthropic and explore 21   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.