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Location: New York City, NY; Remote-Friendly (Travel-Required) | San Francisco, CA | Washington, DC; San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic sits at the frontier of AI development, which makes us one of the most interesting targets in the world for nation-state and advanced criminal actors. The Threat Intelligence function within our Detection & Response team exists to make sure we see them coming. As a Threat Intelligence Engineer, you'll be a hands-on practitioner responsible for producing the actionable intelligence that drives our detections, hunts, and defensive priorities. You'll track the adversaries most likely to target a frontier AI lab, build the tooling and pipelines that turn raw indicators into operational defenses, and work shoulder-to-shoulder with detection engineers and incident responders to make sure intelligence actually changes outcomes. This is a builder's role on a small, high-leverage team — you'll have broad latitude to shape how threat intelligence is collected, analyzed, and operationalized at Anthropic. Responsibilities: Research, track, and report on threat actors and campaigns targeting AI labs, cloud infrastructure, and the broader technology sector — producing timely, actionable intelligence for Security Engineering stakeholders Build and maintain tooling and automated pipelines to collect, enrich, correlate, and operationalize indicators of compromise into our detection and alerting stack Develop and execute intelligence-driven threat hunts across endpoint, cloud, identity, and SaaS telemetry, and turn findings into durable detections Perform technical analysis of malware, phishing infrastructure, and attacker tooling to extract indicators, TTPs, and attribution signals Partner with Detection Engineering and Incident Response to translate intelligence into detection rules, hunting hypotheses, and incident context in near-real-time Curate and triage inbound intelligence from commercial feeds, open source, government, and trusted peer relationships — prioritizing what matters for Anthropic's threat model Contribute to threat models and risk assessments that inform security architecture and defensive investment across the enterprise Build and maintain external intelligence-sharing relationships with peer companies, ISACs, and government partners You may be a good fit if you: Have 5+ years of hands-on experience in cyber threat intelligence, threat hunting, or intrusion analysis at an organization facing sophisticated adversaries Have deep, demonstrable knowledge of specific nation-state or advanced criminal threat actors — their tooling, infrastructure patterns, tradecraft, and targeting Are a strong engineer: you write production-quality Python (or similar), have built automation and data pipelines, and don't need to hand requirements to someone else to get tooling built Are comfortable performing malware analysis, infrastructure analysis (passive DNS, certificate pivoting, netflow), and log analysis to develop and validate your own findings Have experience authoring detection logic (YARA, Sigma, Snort/Suricata, or SIEM-native queries) and understand what makes a detection durable vs. brittle Can write clearly and concisely — your intelligence products are read and acted on, not filed away Have an existing network in the threat intelligence community and a track record of productive bidirectional sharing Strong candidates may have: Experience defending cloud-native and research-heavy environments (AWS/GCP, Kubernetes, ML infrastructure, developer tooling and supply chain) Prior work operating in a threat intelligence role tracking sophisticated or state-sponsored adversaries, where your analysis directly informed detection, threat hunting, and incident response Experience applying LLMs or other AI tooling to accelerate intelligence collection, enrichment, and analysis Public research, conference talks, or open-source tooling contributions in the CTI space Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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. About the role As a Federal Civilian Account Executive - Commerce & Interior at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies such as the Department of Commerce (DOC) and Department of the Interior (DOI). You'll leverage your deep understanding of federal civilian operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance. Responsibilities: Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment Navigate the unique requirements of federal civilian procurement, including FAR compliance, security standards, and agency-specific regulations Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation Develop and execute strategic account plans that align with agency missions and modernization initiatives Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements Create and maintain sales playbooks specific to federal civilian use cases and procurement processes Take a leadership role in growing our federal civilian presence while maintaining hands-on engagement with key accounts Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements You may be a good fit if you have: 8+ years of enterprise sales experience in the federal civilian space preferably with DOC & DOI, alongside a proven track record of driving adoption of emerging technologies A deep understanding of federal civilian agency missions, challenges, and technology needs Demonstrated the ability to balance strategic leadership with hands-on sales execution Experience navigating complex federal procurement processes and compliance requirements A strong track record of exceeding revenue targets in the federal civilian space Extensive experience with federal civilian contracting vehicles and procurement mechanisms Excellent relationship-building skills across all levels, from technical teams to senior agency leadership A proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators Strategic thinking combined with attention to detail in execution A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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. About the role As a Federal Civilian Account Executive - Transport & Land at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies such as the Department of Transport (DOT), USDA, HUD and GSA. You'll leverage your deep understanding of federal civilian operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance. Responsibilities: Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment Navigate the unique requirements of federal civilian procurement, including FAR compliance, security standards, and agency-specific regulations Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation Develop and execute strategic account plans that align with agency missions and modernization initiatives Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements Create and maintain sales playbooks specific to federal civilian use cases and procurement processes Take a leadership role in growing our federal civilian presence while maintaining hands-on engagement with key accounts Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements You may be a good fit if you have: 8+ years of enterprise sales experience in the federal civilian space preferably with DOT, USDA, HUD and GSA, alongside a proven track record of driving adoption of emerging technologies A deep understanding of federal civilian agency missions, challenges, and technology needs Demonstrated the ability to balance strategic leadership with hands-on sales execution Experience navigating complex federal procurement processes and compliance requirements A strong track record of exceeding revenue targets in the federal civilian space Extensive experience with federal civilian contracting vehicles and procurement mechanisms Excellent relationship-building skills across all levels, from technical teams to senior agency leadership A proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators Strategic thinking combined with attention to detail in execution A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Global Remote Workplace: remote Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us.   We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies. We’re looking for exceptional Technical Product Leads to help shape what we build and why. This is a highly technical, user-focused product role for people who want to work closely with both customers and builders to influence product direction. The scope will evolve with the product and team. What you'll do Talk directly to customers to understand how they use the product and where it falls short Build a deep understanding of user workflows, especially in data-heavy environments Identify and clearly define the most important problems to solve Turn those insights into clear proposals for product direction Move across engineering teams, focusing on where context is most useful Work closely with engineers and design to shape solutions and tradeoffs Bring clarity to ambiguous problems so teams can move quickly and make good decisions How this role fits Product is led directly by our CEO. You’ll work closely with him, along with engineering and design leadership, to shape direction and priorities. Technical Product Leads contribute to roadmap discussions and help guide what gets built through strong problem definition and customer insight. Engineering Managers plan and execute the work. What we’re looking for Strong technical foundation (e.g., engineering or similarly technical experience) Hands-on experience working with data tools (e.g., querying, modeling, or building with data) Ability to understand user needs and translate them into clear problem definitions Strong product judgment - what’s worth solving, what isn’t, and why Comfortable working closely with engineers on feasibility and tradeoffs Able to operate with high judgment in ambiguous environments Clear thinker and communicator, especially when simplifying complex ideas You should be able to quickly build context, form strong opinions, and contribute at a high level. Additional strengths Experience working on data-heavy or technical products Experience building or leading complex projects or initiatives Track record of taking ownership and operating with autonomy Compensation The US base salary range for this role is $102K–$200K annually, plus equity and benefits. Compensation is determined by role, level, location, and individual qualifications, including skills, experience, and scope of responsibility. Pay may vary by geographic location and other job-related factors. Benefits We offer meaningful equity and a comprehensive US benefits package, including fully employer-covered medical, dental, and vision insurance (with 75% coverage for dependents), a 401(k) with employer match available to enroll after the first 30 days, flexible and unlimited paid time off including sick time, and an asynchronous, remote-first environment. We're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.   For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.   E-Verify Participation Notice (English/Spanish) Right to Work Notice (English/Spanish)

Location: 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. About the role As a Federal Civilian Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies. You'll leverage your deep understanding of federal civilian operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance. Responsibilities: Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment Navigate the unique requirements of federal civilian procurement, including FAR compliance, security standards, and agency-specific regulations Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation Develop and execute strategic account plans that align with agency missions and modernization initiatives Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements Create and maintain sales playbooks specific to federal civilian use cases and procurement processes Take a leadership role in growing our federal civilian presence while maintaining hands-on engagement with key accounts Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements You may be a good fit if you have: 8+ years of enterprise sales experience in the federal civilian space, with a proven track record of driving adoption of emerging technologies A deep understanding of federal civilian agency missions, challenges, and technology needs Demonstrated the ability to balance strategic leadership with hands-on sales execution Experience navigating complex federal procurement processes and compliance requirements A strong track record of exceeding revenue targets in the federal civilian space Extensive experience with federal civilian contracting vehicles and procurement mechanisms Excellent relationship-building skills across all levels, from technical teams to senior agency leadership A proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators Strategic thinking combined with attention to detail in execution A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Jakarta Workplace: remote Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation.  The company employs 5,000 specialists.    We develop local teams because we understand local experts best comprehend market specifics. The company has sales representatives worldwide, including Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa and other regions.   The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems. The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe.   Ajax Systems production includes four factories, two of which are located in Ukraine, one in Turkey and one in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements.   The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax's unwavering mission.   Ajax Systems is a Ukrainian success story, a place of incredible strength and energy. Responsibilities Develop and execute regional marketing strategies to drive B2B sales growth and strengthen partnerships within the assigned region. Plan, manage, and execute targeted marketing campaigns aligned with the Regional Business Plan and overall company strategy, focusing on expanding and accelerating sales opportunities. Lead all B2B marketing initiatives in close collaboration with the Business Development Team — including promotions, trade shows, seminars, webinars, certification programs, case studies, presentations, trade marketing, professional media publications, and partner motivation programs. Exercise strategic decision-making on regional marketing activities to support sales objectives and ensure alignment with business goals. Monitor, analyze, and report on marketing campaign performance and financial outcomes, recommending improvements to enhance efficiency and ROI. Develop, localize, and maintain marketing materials and tools, while contributing to the creation of partner development resources by representing regional market needs and specificities. Oversee the implementation of marketing policies within the distribution network, ensuring all partners receive and effectively utilize marketing assets and materials provided by Ajax HQ. Act as a regional ambassador, sharing local market insights and partner feedback with the global marketing team to influence strategic direction. Conduct in-depth analysis of partner performance and market dynamics to identify growth opportunities and strategies for increasing Ajax’s market share. Collaborate closely with partner marketing, product, and sales teams to strengthen Ajax’s brand presence and drive sustainable sales growth. Coordinate effectively across internal and external stakeholders, ensuring consistent communication and seamless execution of all marketing initiatives. Requirements: 5+ years of experience in B2B marketing, ideally in a fast-paced or growth-oriented environment Fluent English (both written and spoken) Background in the security industry is a strong advantage Proven track record in planning and executing successful product, service, or market launches, with strong cross-functional collaboration and leadership skills Deep understanding of multichannel marketing strategies and the full marketing mix Demonstrated success in delivering commercially impactful marketing projects Proactive, open-minded, and results-driven professional with an ambitious yet easy-going approach Willingness to travel across ASEAN countries We offer: Opportunity to be part of a fast-paced and dynamic environment that encourages creativity, critical thinking, and the exploration of new ideas. Opportunity to take on new challenges, advance your career, and make a meaningful impact. Opportunity to work in one of the most recognized and innovative security manufacturers.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers 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 technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. As a Commercial Solutions Architect, you'll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude's reach across the broader Commercial book of business. 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 customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success Support customers building with the Claude API, Claude Code, and Claude for Enterprise Ship working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend Build reusable blueprints, demos, and enablement assets that scale across customers 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 to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience A builder identity. You've shipped real software, you have technical taste, and you care about the craft of what you build A systems mindset. When you see a problem, your instinct is to ask "how do I make this reusable." You'd rather build one thing that serves ten customers than ten things that serve one each Strong coding ability. You ship prototypes regularly and can work in a real codebase, not just notebooks. Comfort with Python expected Strong ability to build trust with technical stakeholders and adjust your communication for varied audiences 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 Familiarity with common LLM frameworks and tools, or a background in machine learning or data science Comfort operating in early-stage, ambiguous environments where the playbook doesn't exist yet, and a track record of building structure as you go Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed 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 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: $240,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, United States ClinChoice a global CRO is recruiting for a Business Development Director to join our internal commercial team in the U.S. As a Business Development Director, you will focus on driving full clinical operations service growth by securing new clients and expanding services in existing clients to drive revenue growth. You will be responsible for the full sales lifecycle – from prospecting, developing relationship, to closing all deals including complex, high value deals. Previous experience working with a global Contract Research Organization and selling full clinical operations services is required. Experience with developing clients with outsourcing exposure to China is a plus. This is a full-time, permanent opportunity based in the US. Candidates based on the West Coast are preferred, though applicants from other locations may also be considered based on their CRO experience. Main Job Tasks and Responsibilities Sales strategy and execution : Identify, assess, and develop new global full clinical service strategic plans. Implement realistic and actionable plans to achieve or exceed annual revenue goals that align with the company’s growth objective. Prospecting: Actively identify and secure new business opportunities and/or grow/expand services with existing clients. Relationship Management: Build and maintain positive relationships and provide regular face time with key decision makers within prospect and client organizations, including their Clinical Operations function, Outsourcing function, Procurement function, and C-Suite executives. Market Intelligence: Represent Company at key conferences, trade shows, and networking events to learn and monitor industry trends and competitor activities. CRM Management: Maintain all pipeline data promptly from prospecting to closing contracts in company CRM database. Education, Experience and Skills 10+ years of sales or business development experience, with at least 6 years in global full service CROs. Established a network of decision-makers in the life-sciences industry. Experience selling to, presenting to, and building relationships with senior management and C-level stakeholders. Strong negotiation skills with a proven track record of closing complex, multi-million-dollar business deals Persuasive and compelling presentation and communication skills, both written and verbal Ability to understand internal business need, interpret business challenges and present quick and responsive high-level solutions. Deadline-driven with a proven ability to manage multiple engagements at varying points in the sales cycle. Bachelor’s degree in Life Science, Biotechnology, or Business Administration; MBA is a plus. About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have 30 years of proven high-quality delivery and results across all our services with over 3,000 professionals in more than 20 countries across US, EU, APAC and ANZ. We are on a mission to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Join our passionate team and make a meaningful impact on global healthcare! Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. Continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. Keywords: Director of Business Development, business development, marketing, contracting, travel, clinical trials, CRO, Clinical Research Organization, clinical development, CRO management, relationship management, clinical research sales, account management, CRO full-service sales, Bid Defense, contract negotiations, business to business sales #LI-VH1 #LI-Remote #LI-Director #LI-FULLTIME

Location: Espoo Workplace: Hybrid Role highlights: - Engineering Lead - Orbit Determination - Location: Espoo - Department: Spacecraft Analysis, Orbit and Attitude Control / Engineering - Reports to: Engineering Manager, AOCS - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As an Engineering Lead - Orbit Determination, you’ll lead a small (4-10 people) multidisciplinary team responsible for delivering accurate and reliable orbit determination capabilities that underpin ICEYE’s satellite operations. Your work ensures timely and precise satellite position data, enabling mission-critical systems such as image acquisition, planning, ground station communications, and on-orbit collision avoidance. Who We Are ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. Your day-to-day responsibilities - Lead and develop a multidisciplinary team delivering orbit determination software and services - Own delivery, prioritization, and roadmap alignment in collaboration with product and domain stakeholders - Drive continuous improvement of orbit determination capabilities including accuracy, latency, and scalability - Support team growth through mentoring, hiring, and effective workload distribution aligned with individual strengths What we’re looking for Must haves: - Proven experience leading multidisciplinary teams delivering complex software systems - Strong understanding of modern software engineering practices including deployment, observability, and release processes - Experience with cloud and on-prem environments using technologies such as Docker and Kubernetes - Ability to communicate effectively across deep technical domains and scalable software systems - Interest in understanding high-level fundamentals of orbital dynamics to understand constraints they impose on the software system Nice to haves: - Experience working on systems with strong theoretical components such as flight dynamics, state estimation, or data science - Understanding of orbital dynamics - Track record of hiring and developing engineers across different career stages Application Process - Talent Attraction Screening (remote) - Hiring Manager Interview (remote) - Take-home technical task and panel interview (remote) - System thinking workshop (on-site) - Behavioural interview to assess cultural fit (on-site) Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. • Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. • See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. • Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. • Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. • Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at http://iceye.comiceye.com http://iceye.com.

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: We're hiring several Product Operations Managers to embed within our core product teams. Each will contribute to a key component of our stack. Whether you are ensuring models work within each of our harnesses, prioritizing a great experience across cloud offerings, or building the application layer that keeps users on the frontier, the Product Operations team is an integral part of delivering great products to the world. Product Operations is the connective tissue between Research, Product, and the market. We shorten the distance between what our models can do and what people get to use. Each of us sits inside one product team as an extension of its leadership, and together we run one shared operating system for how Anthropic ships and learns. On a given day you might get a launch through its final review, run an early access window, or triaging customer feedback. The rest of the week you build the systems so the team ships and learns faster next time. Our team is small and gets unusual leverage from Claude enabling us to fill gaps across the company and deliver outsized value. Responsibilities: 1. Ship with confidence Own launch readiness for your team. Keep our launch calendar the source of truth for what is shipping and when. Get every major launch through go/no-go: pre-read written, Security, Safeguards, Legal, and Commercial sign-offs recorded, and any accepted risk written down on purpose. Run early access and beta programs that return signal Product and Research can act on. Define the question before the window opens, give testers the scaffolding to answer it, and close each one with a retro on whether the feedback landed. Program manage new model launches on your surface: readiness goals set in advance, testing and eval coverage tracked, issues triaged, prompting changes landed, retro run. You won't write the evals. You run the program around them. 2. Close the loop with users Turn a lot of noise into two clear signals: what users are asking for, ranked by impact and mapped to the roadmap, and which customers or cohorts are blocked, on what, and why it matters. Plug your team into Anthropic's shared feedback systems rather than building a private one, and improve the shared systems where they fall short. Make sure the field, Support, and Research hear back about what happened with what they sent. 3. Run the team's operating system Set the team's pace: planning, business and execution reviews, goal tracking, offsites. Own how your team works with Legal, Safeguards, Security, GTM, and other product teams so partnering with your team is predictable. Push reporting overhead toward zero. Reviews and digests should be generated from data that already exists. Fill the gaps. Every embedded seat carries one or two projects unique to its team, for example managing Monthly Business Reviews and helping track progress between cycles. 4. Build with Claude Build the tools you need yourself: Claude-powered triage, dashboards that read and write to our systems of record, skills and agents that take the chasing out of the job. Contribute what you build back to the ProdOps team as reusable patterns (launch checklists, EAP setup, lookbacks, deprecations) so nobody starts from scratch. You may be a good fit if you have: Have owned an operational program end to end (launches, early access, feedback, or planning) that a product team relied on to make decisions. You designed it and ran it, not just executed someone else's plan. Have built a process from zero to one and then simplified it as it scaled. You treat process as a product: it has users, metrics, and a happy path people want to follow. Have worked embedded with product leadership and can move a team without formal authority. Build with AI yourself. You have shipped Claude or other LLM-powered workflows, written the prompts, iterated on the outputs, and can describe model behavior with specifics. Have direct experience managing evals, refining system prompts, and adapting harnesses to new models. Have direct experience working with Cloud providers in partnership or GTM capacity Have commitment to safe deployment of AI. Bonus if experience with AI Safety and Safeguards. Bonus: Program managed model launches or model quality at an application-layer AI product. Run early access, beta, or design partner programs. Product management, technical program management, chief of staff, or strategy and operations experience at a startup or fast-growing product company. 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: $260,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA 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 business metrics change quickly. New models, products and pricing land every few weeks, and each one moves the numbers in ways leadership needs to understand and act on quickly. The Finance Analytics & Business Intelligence team is hiring a senior individual contributor to own how finance leadership reviews key business metrics. You'll run the weekly company metrics update and forum, explain what is driving revenue and usage across products, customers and models, and turn open-ended business questions into clear, data-driven answers. You'll also build what makes those answers repeatable and scalable: governed metric definitions, executive dashboards, and Claude-powered workflows for recurring analysis. The work is technical, fast-moving and highly visible, and it spans Finance, Product, Go-to-Market, Data Science and Data Engineering. In this role, you will: Own the weekly company metrics update and forum: shape the story the numbers tell, evolve the structure and content as fast as the business changes Define the metrics that matter: help establish the headline KPIs leadership uses to track the business, and the driver views beneath them. Surface macro trends: explain what is driving growth across products, customers, and channels, and flag leading indicators early Lead deep dives on executive questions: take a broad question from leadership, put a measurement approach around it, and work with partner teams to deliver a clear, defensible answer Track performance against plan: explain where actuals differ from forecast and why it matters Partner across teams: work with finance leadership, product and GTM finance and strategy, data science, and data engineering to agree on how we measure the business, so everyone uses the same numbers. Raise the bar: land narratives in executive forums and up-level the team’s finance analytics practice by example You might be a good fit if you: Have run an executive metrics forum: you've owned a recurring business review for senior leadership, including its structure, content and discussion. Land narratives with executives: your analyses have changed business decisions, and you can simplify for senior leaders without losing rigor Put shape around ambiguity: you’ve personally defined the measurement approach for questions nobody knew how to answer, without waiting for a fully specified ask Stay hands-on at senior scope: you still write the SQL and Python yourself, and you’d rather ship a defensible v1 with honest error bars than wait for perfect data Are inherently curious: you go one level deeper than asked and are energized by how fast models, products, and the market are moving Thrive amid shifting priorities: you juggle multiple fast-moving work streams and stay effective when the plan changes weekly Work fluently with modern tooling: you’re strong at data visualization, use Claude and AI tools as force multipliers in analysis and BI, and can self-serve your own workflows across SQL, Python, dbt, and a cloud warehouse Strong candidates may also have: Significant experience in finance analytics, business analytics or data science, including direct partnership with senior leadership Revenue or growth analytics experience at a usage-based business (cloud, API or marketplace) Ownership of a company or executive business review Experience designing evals or benchmarks for AI models or products Fluency in the LLM model and product landscape Experience with a semantic or metrics layer Dimensional modeling and warehouse design experience (grain, SCDs, point-in-time correctness) Cloud platform experience (AWS, GCP) with orchestration, CI/CD for data, and testing/observability 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. 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: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Scaled Enterprise team is a high-velocity sales motion built to bring frontier AI to a broad set of enterprise accounts. We're focused on reaching new customers efficiently, turning first conversations into real, expanding partnerships, and building the playbook for how Anthropic shows up at scale. As a Scaled Enterprise Account Executive, you'll own a book of enterprise accounts and the full revenue outcome for each. You'll generate your own pipeline, run a high-velocity sales cycle from first conversation through close, and develop a clear point of view on where Claude creates value in each account. You'll work closely with Product, Applied AI, and GTM to learn what's working at scale and feed it back into the playbook we're building from the ground up. This is a role for someone who thrives in hypergrowth, gets energy from breaking into new enterprise accounts, and wants to help build the scaled motion at Anthropic — not inherit one. Responsibilities Own all revenue outcomes for a book of enterprise accounts, driving new logo acquisition and early expansion across multiple use cases Generate the majority of your own pipeline through outbound, creative prospecting, and proactive multithreading into enterprise accounts that have not yet engaged with Anthropic Run a high-velocity sales cycle from first meeting through close, qualifying quickly, advancing rigorously, and knowing when to walk Develop a clear point of view on where Claude creates value in each account and bring that POV to technical and business stakeholders alike Build relationships with directors, VPs, and executive sponsors within your enterprise accounts, earning the right to expand by delivering early wins Negotiate and close commercial agreements involving technical evaluations, security review, and enterprise procurement Partner with Product, Applied AI, and Engineering to surface what's working, what's not, and what enterprise buyers need next Contribute to the playbook, proof points, and motion that this team is building from the ground up You may be a good fit if you have 3-5+ years selling into enterprise accounts as a full-cycle individual contributor carrying a bag, with a track record of consistently exceeding quota Experience selling at a hypergrowth company, where the playbook was still being written and you helped write it A hunter mindset and demonstrated success generating your own enterprise pipeline and breaking into new enterprise accounts Experience running enterprise sales cycles involving technical evaluations, security review, and procurement Comfort engaging both technical and business buyers at the director and VP level within enterprise organizations Background selling platform, API, cloud infrastructure, developer tools, or AI/ML into enterprise Strong commercial instincts and the ability to qualify quickly and advance rigorously Genuine interest in AI and strong alignment with Anthropic's mission of developing AI systems that are safe and beneficial What will make you stand out Experience at a hypergrowth enterprise infrastructure or developer tools company in its scaling years Track record as one of the early AEs on a new team, segment, or product where you helped build the motion rather than inherit it Background in developer tools, API, or AI/ML sales into technical buyers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Barcelona, Spain Workplace: remote About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5. About the role 🤓 We have an exciting opening for a Senior Software Engineer who is able to see the big picture and balance the search for software quality with a pragmatic approach to help us scale the company. If you're a proactive, creative, and hands-on person who wants to help improve SeQura's product, having ownership and exposure to work hand in hand with seasoned professionals in a collaborative environment, this is the perfect place for you. We have different projects to carry out our amazing product’s development, you’ll have the possibility to join us to help us grow by contributing to technical and architectural decisions and even creating new teams. How we build at seQura 🤖 AI-assisted development is how our engineers work every day. We use AI agents to think through problems, write, review and iterate on code, and we're looking for engineers who already work this way, or are actively making the shift. What matters to us isn't whether you know the syntax and idioms of your preferred programming language or tech stack by heart. It's whether you understand the problem you're solving, can explain the business logic behind it, and own every line you ship, no matter who (or what) wrote it first. AI helps you move faster, challenge assumptions, explore different approaches and improve your solutions. But knowing which questions to ask, making sound technical and product decisions, and taking responsibility for the outcome is always up to you. Our technical interviews reflect this approach: you'll use your own AI tools, and we'll ask you to walk us through your solution, both the business reasoning and the code. If you're only interested in technical challenges without engaging in the product decisions behind them, or you'd rather not work with AI, this probably isn't the right role for you. What challenges you'll be solving 🚀 Be passionate about solving meaningful product problems and delivering simple, clean, and maintainable solutions, leveraging AI to improve both your thinking and your code. Be proactive, accountable, analytical, and pragmatic. Contribute with close attention to detail/product ownership. Work as a strong team player and communicator. Arrive with motivation to learn and grow. Be passionate about driving change and efficiency with partners from different disciplines. What we offer 😎 We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge. In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need. 23 vacation days + 2 days of free disposal per year. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts with Sanitas and DKV. Flexible working hours. A personal budget for professional development. Office workshops and meet-ups to encourage community participation and career growth. Hybrid or remote work (up to 2 hours difference from GMT+2). Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you. What you’ll need 🤝 7+ years of experience working as a Software Engineer. Experience in the full-stack development, deployment, and maintenance of web-based technology applications with Ruby on Rails or the ability and interest in working with it (JavaScript, Elixir, Kotlin, Java, and Python experience is also very valued). Solid knowledge of OOP, clean coding, TDD, and agile. English proficiency. Which are the next steps? 🙌 Interview with People Team Technical take-home assessment (async) Live Peer review of the assessment Meet the team We kindly ask that you submit your CV in English, as it is the official language of our community. We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all. Do you want to be part of the change? Join us!👇

Location: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s GSI team partners with the world’s largest Global System Integrators and strategy consultancies to deploy frontier AI into the core of how they deliver client work and run their own businesses. These are complex, partner-led organizations where the first engagement is rarely the full opportunity, and where lasting partnerships are built across practice areas and at the executive level. As an Strategic Account Executive on the GSI team, you’ll own a named book of accounts and the full revenue outcome for each. You’ll develop a point of view on where Claude creates the most value across a firm’s practice areas, advisory services, delivery teams, and internal operations, build relationships with the partners and executives who sponsor transformation at that scale, and expand the partnership well beyond the original buyer. These firms are both customer and future channel — your sell-to motion sets up the sell-with later. You’ll work closely with Product, Applied AI, GTM, and Partnerships leadership to shape how Anthropic shows up across the GSI landscape, while advancing our mission of developing AI that is safe, beneficial, and deployed responsibly. This is a role for someone who has owned large, complex partner-led accounts end to end and is comfortable operating independently at the executive level. Responsibilities Own all revenue outcomes for a named book of GSI accounts, driving both new logo acquisition and multi-practice expansion through complex, multi-quarter sales cycles involving partner-led approval, global procurement, and custom commercial terms Develop a clear thesis for each priority firm — where Claude creates value across knowledge management, advisory workflows, deliverable generation, and client engagements — and execute a sequenced engagement plan across practices, regions, and stakeholders Build and independently advance executive relationships with Managing Partners, Practice Leads, MDs, CIOs, CTOs, and Heads of AI/Digital, anchoring every conversation to their strategic priorities: utilization, leverage, realization, and billable productivity Proactively create demand in unengaged practice areas and regions, using early wins as proof points to open new doors across decentralized, partner-led organizations Build quantified, firm-specific business cases mapped to the GSI operating model — using their own language and metrics — that shape deals rather than justify them after the fact Identify and close lighthouse partnerships that become references across the GSI landscape and set up the future sell-with motion Partner cross-functionally with Product, Applied AI, Engineering, and Partnerships to inform the roadmap based on GSI buyer needs, and contribute to the playbook, proof points, and commercial structures that become the repeatable GSI motion You may be a good fit if you have 8+ years of enterprise software sales experience with a track record of owning named accounts at large, complex, partner-led organizations (global SIs, strategy consultancies), managing multi-quarter sales cycles through technical evaluations, partner-led approval, and global procurement Demonstrated ability to independently build and advance relationships at the Partner, MD, and C-suite level — including practice leadership and innovation/digital executives — and hold credible conversations across both technical and business audience Experience building firm-specific business cases grounded in the firm's own operating metrics (utilization, leverage, realization, margin) and defending commercial terms through complex negotiations Background selling platform, API, cloud infrastructure, or emerging technology into enterprises evaluating a new category Genuine interest in AI and strong alignment with Anthropic's mission of responsible AI development A history of growing accounts meaningfully beyond the original engagement by proactively creating demand across new practice areas, regions, and use cases What will make you stand out Direct experience selling into Global SI’s or strategy consultancies, and fluency in how partner-led firms operate and measure success Experience as an early AE in a vertical or segment, where you helped build the sales motion rather than inherit it Background selling developer platforms, cloud infrastructure, or AI/ML tooling into traditional partner-led services firms 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: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role As a Staff SDET, you’ll lead from the front– owning shared automation infrastructure, influencing release quality strategy, and driving initiatives that span teams and systems. This role sits at the intersection of hands-on engineering, architectural leadership, and org-wide quality influence. You will architect and scale automation utilities/libraries, design and build internal tools that improve developer productivity and test efficiency, and establish testing strategies that ensure high-confidence releases across business-critical systems. You will work cross-functionally across teams and domains to influence quality culture, mentor engineers, and drive initiatives that shape how Fivetran builds and ships software. In addition, this role emphasizes leveraging AI driven solutions to accelerate testing, enhance developer productivity, and improve operational insights, making Fivetran’s quality practices smarter, faster, and more scalable. This role requires deep technical expertise, architectural foresight, and the ability to scale impact beyond code through systems thinking, tool building, and strategic alignment. Technologies You’ll Use Languages & Frameworks: Java (17+), JUnit, REST Assured, Shell scripting; Python (optional) Infrastructure & Tooling: Docker, Kubernetes, Terraform, Bazel, Buildkite Cloud & Platform: AWS, GCP, Azure Observability & Monitoring: Grafana, Prometheus, Datadog CI/CD & Automation: Jenkins, CircleCI, GitHub Actions Data & Testing:ELT pipelines, test automation utilities, whitebox testing strategies Databases: SQL and NoSQL databases (e.g., Postgres, MongoDB) What You’ll Do Lead the architecture of internal tools, libraries, and utilities for test automation and benchmarking, enabling scalable quality solutions across teams and domains. Define and evolve quality strategies covering testability, release readiness, performance, and reliability. Drive cross-org quality initiatives to improve execution speed, observability, and feedback loops. Identify systemic risks in business-critical systems and implement robust validation strategies. Mentor engineers, influence design for testability, and champion best practices across the org. Collaborate with engineering and product leaders to align testing priorities with platform and business objectives. Skills We’re Looking For 8+ years of experience in the software industry with a focus on building test automation frameworks, tools, and infrastructure at scale. Experience defining and driving code quality for tests (review processes, efficiency, maintainability). Writes critical or common code shared across multiple teams. Identifies and designs fixes for critical issues concerning core parts of the product. Contributes to and enforces department-wide coding standards. Identifies major improvements in product to improve quality and resilience. Identifies and fixes performance, scalability, and reliability gaps in tests and test frameworks. Defines testing efficiency and reporting strategies. Defines guidelines for product releases, including quality gates and readiness criteria. Expert in design principles and applying them to test architecture. Strong knowledge of OOP (preferably Java) Hands-on experience with cloud platforms (AWS, GCP, Azure). Experience with CI/CD systems (Buildkite, Jenkins, GitHub Actions, CircleCI), modern build tools (Bazel, Maven, Gradle), and observability platforms (New Relic, Datadog, Prometheus, Grafana). Strong background in infrastructure and container orchestration (Docker, Kubernetes, Temporal). Strong understanding of data engineering concepts, and large-scale distributed systems. Demonstrated ability to drive initiatives across multiple teams and influence business-critical systems. Strong written and verbal communication skills to support complex technical discussions. Knowledge of ELT pipelines, including testing data integrity, schema evolution, and pipeline reliability. Demonstrated ability to incorporate AI techniques to improve test efficiency, defect detection, and productivity. Experience evaluating and adopting emerging quality engineering practices (e.g., shift-left testing, chaos engineering, autonomous testing). #LI-HYBRID #LI-PE1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

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 Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Developer Experience: You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent. Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way. Vertical AI Products: Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come: Life Sciences — an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast. Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are: Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams. Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker. Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need". Public Sector: Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them. Enterprise Foundations: You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork. Growth: Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact. You might be a good fit if you: Have a minimum of 6 years of practical full-stack engineering experience Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack Are technically proficient in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript) Take a product-focused approach to building solutions that are robust, scalable, and easy to use Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1 Have successfully driven cross-team alignment to get impactful work shipped, and work with influence over authority Have experience establishing engineering standards, component architectures, and development best practices Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of teams. 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 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | 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 Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Platform Ecosystem: The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line. Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way. Vertical AI Products: Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come: Life Sciences — an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast. Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are: Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams. Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker. Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need". Public Sector: Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them Enterprise Foundations: You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork. Growth: Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact. You might be a good fit if you: Have a minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack Are a technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript) Take a product-focused approach to building solutions that are robust, scalable, and easy to use Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1 Care deeply in investing in the mentorship and growth of your peers Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority Have experience establishing engineering standards, component architectures, and development best practices Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, NJ, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, Vilnius 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We’re looking for a Senior Technical Product Manager to join our Health Records & Virtual Clinics team. This team is building the foundational infrastructure that powers Flo’s next generation of personalised healthcare experiences. Our mission is to integrate diverse health data sources, from clinical systems and external vendors to user-reported data, including data from wearables directly or via Health Connect/HealthKit into a unified, reliable, and actionable health record. This foundation will enable a new Virtual Clinics direction, delivering personalised, data-driven care journeys at scale. While this is a deeply technical and data-heavy area, we believe that the true value of health data is unlocked through intuitive, trustworthy, and beautifully designed user experiences. You will partner closely with product design to ensure complex, fragmented health data is translated into clear, intuitive, and user-friendly experiences. Your Experience Must have: 7+ years of experience in product management, including experience in platform, data, or infrastructure products Strong technical background, with experience working on APIs, data pipelines, or distributed systems Experience integrating third-party vendors, APIs, or complex ecosystems (healthcare experience is a strong plus) Solid understanding of data modeling, data quality challenges, and trade-offs in building scalable data platforms Proven passion for building high-quality user experiences, with a track record of partnering closely with design to ship intuitive and elegant products Ability to translate complex technical systems and data into simple, user-friendly interfaces and flows Experience working in regulated environments and collaborating with clinical, legal, privacy, and security stakeholders Proven ability to define and deliver products in ambiguous, fast-moving environments Strong analytical mindset, with experience defining and tracking metrics for platform/data products Track record of iterative delivery and experimentation, even within complex technical domains Excellent stakeholder management and communication skills, with the ability to align cross-functional teams around complex initiatives Passion for building impactful healthcare products and improving user outcomes through data What you'll be doing You'll be responsible for: Define and execute the product strategy and roadmap for Health Records and data integrations, enabling scalable and secure ingestion of data from multiple vendors and systems Own the end-to-end lifecycle of health data: from ingestion and normalization to enrichment and activation in downstream experiences Lead the development of a unified health data model that supports personalised user experiences, clinical use cases, and Virtual Clinics services Partner with design team to creation of best-in-class UI/UX patterns for surfacing health insights, longitudinal records, and care journeys Ensure that health data is presented in a way that is actionable, empathetic, and clinically responsible, balancing simplicity with accuracy Partner closely with Engineering, Data, Clinical, and Legal teams to ensure data accuracy, regulatory compliance, and user privacy. Own the creation of well-scoped product and technical specifications, and actively participate in technical trade-off discussions. Given the tech- and infrastructure-heavy nature of the team, operate as a deeply embedded partner within the squad, not just a stakeholder, contributing to architecture-level decisions and day-to-day execution Drive vendor integration strategy, including prioritisation, evaluation, and long-term partnership management Collaborate with AI Platform team to ensure high-quality structured data is available for models and personalised insights Balance speed and scalability, making high-judgment trade-offs across infrastructure, data quality, and user-facing impact Establish metrics to evaluate data quality, coverage, and downstream impact on user outcomes and business goals Stay on top of industry trends in digital health, interoperability, and virtual care, as well as evolving UX patterns in consumer health products #LI-Hybrid #LI-AJ1 Salary Range - London - gross per year (ranges may vary based on skills and experience) £91,000 — £117,000 GBP Salary Range - Vilnius - gross per month (ranges may vary based on skills and experience) €7.000 — €8.500 EUR How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .