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Location: multiple locations Role Overview: At Cargoo, we are building supply chain products around complex, real-world logistics operations. It is understanding the actual problem, turning complexity into clear product decisions, and helping a development team deliver the right solution. We are looking for a Product Owner / Senior Business Analyst who can connect business needs, customer problems, and technology - and take ownership of turning them into working products. Problem space: Logistics product development means dealing with: • complex and evolving business rules • multiple stakeholders with different priorities • fragmented operational processes • incomplete requirements and changing assumptions • legacy + new system coexistence • customer needs vs. platform strategy • technical constraints • constant pressure to deliver value You will work in the middle of this complexity. Your job is to bring clarity, make decisions, and keep the team focused on what matters most. What you’ll own: • product vision and direction together with key stakeholders • translating real customer and business problems into product solutions • product scope, priorities, and delivery decisions • the Product Backlog and its continuous refinement • Use Cases, Requirements, and Business Rules • User Stories and Acceptance Criteria • balancing customer value, technical feasibility, business priorities, and timelines • keeping the development team aligned throughout the product lifecycle • ensuring delivered solutions support the wider Cargoo platform and business architecture How you’ll work: You will work closely with stakeholders, customers, subject matter experts, and the development team. You will: • ask questions until the actual problem is understood • challenge assumptions and unclear requirements • turn complex business processes into clear product logic • make decisions when priorities or requirements conflict • ensure the team always works on the highest-value opportunities • manage the balance between new functionality, maintenance, and product lifecycle needs • continuously improve how the team discovers, defines, and delivers products This is not a role where requirements are simply handed over to development. We expect you to understand the problem, own the decisions, and stay involved until value is delivered. What we expect from you: • 5+ years of experience in software or web product development, preferably in a Product Owner role • strong analytical and problem-solving skills • ability to navigate ambiguity and create structure from complexity • confidence making decisions and taking ownership of product outcomes • experience leading and working closely with software development teams • strong understanding of Agile values and principles, including Scrum, Kanban, and Lean • ability to communicate clearly with technical and non-technical audiences - from developers and subject matter experts to customers and executives • ability to manage competing priorities and delivery pressure • fluent English, both written and spoken • Degree or Diploma in Information Technology, Informatics, or a related field Experience with logistics or supply chain solutions is a strong plus. What you won’t find here: • requirements written only for the sake of documentation • backlog management without product ownership • decisions endlessly escalated instead of made • process for the sake of process • a perfectly defined problem waiting for you What matters to us: • clarity over complexity • outcomes over output • ownership over handovers • customer problems over feature requests • decisions over endless alignment • continuous improvement over perfect processes If this sounds like the kind of product environment where you do your best work - let’s talk.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr Director, Integrated Analytics Partner ( Platform & Product Analytics ) San Mateo , CA Remote also considered. Who We Are At Sony Interactive Entertainment (SIE) PlayStation, we create unforgettable gaming experiences—and we're just as committed to building a world-class team. As a leader in interactive entertainment, PlayStation operates at a massive scale, supporting millions of players worldwide and processing billions of transactions annually across our digital ecosystem. About the Role We are seeking a Senior Director, Integrated Analytics Partner – Platform & Product Analytics to serve as the strategic analytics leader embedded within both our Platform Strategy & Product Management organizations. This role is responsible for defining and executing the analytics strategy that helps inform our long-term platform strategy, provides Product Management analytics in support of the ongoing evolution of our player experience, as well as competitive intelligence across the enterprise. As the primary analytics partner to Platform Strategy & Product Management leadership, this role will translate business priorities into a coordinated analytics portfolio across Reporting, Applied Analytics, and Data Science. The Senior Director will directly lead the Applied Analytics team while providing strategic direction to the Data Science and Reporting squads aligned to Platform & Product initiatives. The ideal candidate for this role combines a demonstrated ability to drive change at scale through the application of analytics, an exceptionally strong strategic orientation, and depth of understanding of the Product Management function and how the application of analytics, including rigorous testing, can improve the consumer experience. Boundless curiosity, creativity and enthusiasm for envisioning and then shaping the future, in a complex category that is ever evolving, is a welcome trait. PlayStation may be a market leader, but the analytics team is filled with people who are obsessed with improving in every area we can, care deeply about their role in catalyzing the success of our stakeholders , our partners & creators, and, most importantly, improving the experiences of our players , cultivating the joy of gaming. This role will provide a unique perspective on the future of gaming—and, for the right person, the ability to help shape it. Key Responsibilities Strategic Analytics Leadership Define and drive the Platform & Product Analytics strategy , ensuring alignment with company objectives and long-term platform growth . Maintain a holistic portfolio view across R eporting, A pplied A nalytics, and D ata S cience initiatives supporting Platform & Product . Identify opportunities to leverage analytics to improve product strategy, roadmap decisions, and investment priorities . Executive Partnership and Communication Serve as the primary analytics partner to Platform & Product leadership , acting as the central point of contact for analytics strategy and insights. Deliver executive-level analytics updates and strategic insights to senior stakeholders on a regular cadence . Translate complex analytical insights into clear, actionable narratives that influence Platform & Product strategy and investment decisions. Cross-Functional Collaboration Enthusiasm for building relationships and deep partnerships, including a instinct for seeking opportunities to “win together,” is absolutely critical for this role Partner with the Data Science and Reporting Leads to provide prioritization guidance on their roadmaps . Identify cross-functional opportunities to accelerate impact and eliminate redundant analytics work across teams. Ensure business context and strategic priorities are clearly communicated to squads. Leadership and Team Development Lead and develop the Applied Analytics team , building strong analytical capabilities and career growth for team members. Provide dotted-line leadership to Data Science and Reporting squads supporting Platform & Product , ensuring alignment with Platform & Product priorities. Foster a culture of experimentation, analytical rigor, and measurable impact across the analytics organization. Resource and Portfolio Management Advocate for analytics investments, including headcount, tooling, and platform capabilities. Provide recommendations on how best to a llocate analytics resources across initiatives based on strategic importance and business impact. Make and communicate prioritization decisions across analytics teams supporting Platform & Product initiatives. Qualifications and Education Requirements Bachelor’s degree in Business , Computer Science , Economics, Statistics, Data Science, or a related quantitative field (Master’s or MBA preferred). 1 8 + years of experience in a blend of analytics disciplines, including product management analytics, testing, data science, analytics leadership, and business intelligence , including leadership roles. Proven experience leading analytics teams and delivering data-driven insights that influence product strategy and platform development . Management consulting experience as part of an analytics practice is a significant plus when combined with subsequent client-side experience Experience defining and tracking product performance metrics and analytics frameworks that guide product decision making. Demonstrated ability to influence senior leadership and communicate complex analytical concepts to non-technical stakeholders. Preferred Skills Deep experience with product analytics frameworks, including user behavior analysis, product adoption metrics, and feature performance measurement . Experience with experimentation frameworks such as A/B testing and product experimentation . Strong proficiency with analytics and data tools such as SQL, Python, R, or similar statistical environments . Familiarity with competitive intelligence analysis, benchmarking frameworks, and market performance metrics. Ability to lead complex cross-functional initiatives involving product, data science, and engineering teams. Exceptional communication and storytelling skills to convey insights and influence strategic decisions is critical . #LI-KS1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $292,300 — $438,500 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP is seeking a Governance, Risk, and Compliance Analyst II, to lead the day-to-day operation and support the ongoing risk management program at GRC in a fast-paced, high-growth environment. This role is responsible for operations of GRC initiatives - including but not limited to structured cybersecurity and AI risk assessments, exceptions management, SDLC reviews and security compliance process ownership. The role will partner closely with Legal, Security, Product, and other teams to advance compliance objectives, reduce enterprise risk, and strengthen operational resilience. The ideal candidate combines strong analytical thinking, critical risk mind-set, familiarity with AI governance and has the ability to communicate complex risk scenarios clearly to both technical and non-technical stakeholders. RESPONSIBILITIES: - Lead governance, risk assessment, and compliance activities specific to AI/ML systems, LLM integrations, AI agents, and retrieval-augmented workflows - Partner with the Senior Security Engineer, AI/ML to integrate risk assessment findings into GRC frameworks and translate technical risk into governance requirements - Develop, maintain, and refine AI risk and compliance controls aligned with relevant frameworks, including ISO/IEC 42001, NIST Cybersecurity Framework, NIST AI Risk Management Framework, EU AI Act, GDPR, and other applicable standard - Execute risk assessments for new AI vendors, LLM platforms, AI APIs, and enterprise AI tools, including third-party risk scoring, control mapping, and remediation tracking - Manage the vendor risk assessment lifecycle for AI/ML related suppliers, ensuring documented controls, evidence collection, and follow-up on remediation items - Support audit activities, capturing evidence and coordinating cross-functional stakeholders for internal and external compliance reviews involving AI systems - Develop and maintain AI-specific GRC policies, standards, and procedures that map to AI risk domains, explainability requirements, and compliance obligations - Facilitate AI risk and compliance reporting to leadership, including risk dashboards, trend analysis, control effectiveness measurements, and key metrics - Monitor emerging AI governance requirements, guidance, and best practices, translating them into GRC program updates and compliance recommendations - Support security incident documentation and post-incident analysis for AI system events, coordinating with Legal and Security teams to ensure appropriate governance response QUALIFICATIONS: - 6+ years of experience in Governance, Risk & Compliance, including risk assessment, policy development, audit coordination, and third-party risk management - Demonstrated experience performing governance or risk assessments for AI/ML systems, including LLM integrations, model pipelines, AI agents, or data-driven algorithmic systems - Experience translating AI-specific risks (i.e., data poisoning, prompt injection, model misuse, data leakage, explainability gaps) into documented control requirements and governance standards - Hands-on experience conducting third-party risk assessments for AI vendors, LLM platforms, AI APIs, or machine learning service providers - Experience mapping AI-related risks and controls to frameworks such as ISO/IEC 42001, NIST CSF, NIST AI RMF, ISO/IEC 42001, GDPR, PCI DSS, or similar standards - Strong understanding of data governance concepts relevant to AI systems, including training data lineage, data retention, model output handling, and human oversight requirements - Experience supporting regulatory readiness or compliance efforts related to AI systems - Proven ability to collaborate with engineering and security teams to validate control implementation and remediation - Bachelor’s degree in Information Security, Computer Science, Business Risk, Compliance, or a related field This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $100,000 - $140,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.  In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP is seeking an execution-oriented Senior Governance, Risk, and Compliance Analyst to lead the day-to-day execution and support the ongoing operation of the GRC program in a fast-paced, high-growth environment. This role is responsible for operations of GRC initiatives - including but not limited to structured cybersecurity and AI risk assessments, exceptions management, SDLC reviews and security compliance process ownership. The role will partner closely with Legal, Security, Product, and other teams to advance compliance objectives, reduce enterprise risk, and strengthen operational resilience. The ideal candidate combines strong analytical thinking, critical risk mind-set with the ability to communicate complex risk scenarios clearly to both technical and non-technical stakeholders. RESPONSIBILITIES: - Lead cyber, AI, and technology risk assessments across systems, cloud environments, business processes, and major initiatives, evaluating threats, vulnerabilities, control effectiveness, and residual risk - Maintain and operate the enterprise cyber risk register, including drafting risk statements, tracking mitigation plans, and supporting governance and reporting processes - Translate technical findings, architectural concerns, and control gaps into clear business risk scenarios that support prioritization and decision-making - Support and help mature quantitative cyber risk analysis approaches such as FAIR to improve how risk is measured and communicated - Prepare materials and analysis to support the Cyber Risk Committee and executive risk reporting - Partner with Security Architecture to assess risk in system designs, cloud architecture, identity models, data flows, and platform changes - Collaborate with Security Engineering, Product Security, Legal, IT, and business teams to evaluate new initiatives, technology changes, artificial intelligence use cases, and third-party integrations through a risk lens - Conduct risk assessments for emerging technologies including artificial intelligence and machine learning systems, evaluating data usage, model behavior, external dependencies, and security implications - Develop dashboards and reporting that provide leadership with visibility into key cybersecurity risks and trends. - Contribute to the continued development of cyber risk management processes QUALIFICATIONS: - 6+ years of experience in cybersecurity or enterprise risk management, information security, or a related field - Demonstrated experience conducting structured cybersecurity or IT risk assessment - Experience maintaining risk registers and tracking risk mitigation or treatment activities - Deep understanding of security frameworks such as NIST CSF, ISO 27001, or PCI DSS, and familiarity with regulatory environments such as GDPR, HIPAA or other privacy and data protection requirements - Ability to translate technical findings into clear business risk for non-technical stakeholders - Strong written and verbal communication skills with experience presenting findings to cross-functional teams - Experience assessing risks related to artificial intelligence, machine learning systems, or emerging technologies, including familiarity with emerging AI governance frameworks such as NIST AI RMF, ISO/IEC 42001, or similar standards - Professional certifications such as CRISC, CISSP, CISA, or CGRC are a plus This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $130,000 - $170,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.  In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: USA - Austin (dbt) 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. Customer Solutions Architect About the role The Customer Solutions Architect (CSA) is the primary post-sales technical owner for our existing customers, helping them get the most value from the combined Fivetran and dbt platform. Working alongside Account Executives (AEs) and Solutions Engineers (SEs), the CSA makes sure customers not only deploy successfully, but keep scaling and expanding their usage over time. This role operates as a technical account manager and strategic advisor, bridging the gap between onboarding success and long-term growth. The CSA owns the technical narrative after go-live: monitoring an existing book of business, leading technical discussions, uncovering new data challenges, and guiding customers through architecture evolution, adoption, and expansion through live demos and technical workshops. Unlike implementation-focused roles, the CSA is accountable for both retention and growth, and is measured on incremental ARR, Net Revenue Retention (NRR), and Gross Revenue Retention (GRR). You will act as a trusted advisor, advocate, and accelerator, ensuring customers derive maximum value from their data investments while aligning their technical roadmap with the platform's capabilities. Location: Austin, TX (hybrid). This is a full-time position, and candidates must be located in Austin and able to work in the office two days a week (Tuesday and Thursday). What you'll do Customer Adoption and Value Realization Own post-sales technical engagement across a portfolio of assigned Commercial and Enterprise accounts Drive adoption, optimization, and ongoing usage of the platform, moving customers from initial deployment to sustained, scalable success Educate customers on new products and features as they launch, and on existing capabilities they may not be using Deliver enablement sessions, workshops, and best-practice guidance Monitor account health signals (usage, performance, support trends) and proactively intervene to address churn or contraction risks, including running implementation reviews and healthcheck sessions Expansion and Growth Identify, validate, and execute expansion opportunities across business units, regions, and use cases, including opportunities to bring both Fivetran and dbt into an account Translate customer initiatives into scalable data workloads and technical solutions Partner with AEs to drive incremental ARR through structured expansion plays and a managed expansion pipeline Lead technical validation of new workloads, including workshops and, where necessary, proofs of concept (POCs) Replicate successful use cases across the organization to accelerate growth Provide strategic input on the customer lifecycle and renewals process Technical Strategy and Architecture Define and maintain Enterprise Reference Architectures aligned to customer environments, ensuring architectural consistency and scalability across implementations Guide customers on best practices for data pipelines, transformation, automation, and platform adoption Maintain technical artifacts such as architecture documentation, design patterns, and knowledge bases Stakeholder Engagement and Account Planning Build and maintain strong relationships with technical, operational, and executive stakeholders, using stakeholder maps and multi-threaded engagement strategies Run regular technical cadence calls, business reviews, and roadmap sessions Contribute to Mutual Account Plans and own Mutual Success Plans, mapping whitespace opportunities across business units, subsidiaries, and use cases Align customer technical strategy with business objectives and commercial plans Internal and Partner Collaboration Act as the technical orchestrator across Sales, Professional Services, Product, and Engineering, keeping delivery teams aligned with long-term expansion strategy Advocate for customer needs internally, influencing the product roadmap and priorities Collaborate with technology partners (e.g., Snowflake, Databricks, AWS, GCP) to drive joint value Help improve team processes, refine assets, and enable teammates through our knowledge-sharing loop Thought Leadership Contribute to and deliver external-facing content through live events, speaking engagements, blog posts, recorded tutorials, or other educational resources Work closely with Regional and Product Marketing teams to support field and industry events Support senior leadership in aligning field and industry requirements with the product roadmap, collaborating with Product and Product Marketing under their guidance. What you bring 2+ years of experience in a post-sales, customer-facing technical role, such as Solution Architect, Technical Account Manager, or Customer Success Engineer Strong ability to own and drive customer outcomes after the sale, including adoption, renewal, and expansion Solid technical background, with experience designing scalable data architectures, a firm understanding of modern data warehousing and the analytics stack, and SQL proficiency Ability to translate business objectives into technical solutions and measurable outcomes Strong stakeholder management skills across technical and non-technical audiences, and a high degree of comfort presenting to diverse audiences A proactive, self-sufficient, and highly organized approach to managing multiple accounts Comfort operating strategically while also engaging in deep technical discussions Ability to operate in an ambiguous, fast-paced environment and think on your feet in customer conversations A team-player mindset, both within the CSA team as we evolve our ways of working and in daily collaboration with AEs and SEs Openness to travel: we value in-person relationship building, both internally and externally, and expect willingness to travel to events as needed What Will Make You Stand Out Hands-on experience with dbt; dbt certification is a bonus SQL knowledge, with a working understanding of AI architecture, including LLMs, Knowledge Graphs, and RAG Experience with cloud data platforms (Snowflake, Databricks, AWS, Azure, GCP) Background in data integration, ETL/ELT, or replication technologies, plus experience with ancillary tools, APIs, and managing data infrastructure Experience with workload-based or consumption-based sales models Familiarity with enterprise architecture frameworks and design patterns Experience working with system integrators or technology partners Technologies You’ll Use Databases: SAP HANA, Oracle, SQL Server, Postgres Data platforms: Snowflake, Databricks, BigQuery, Redshift Products: Fivetran, dbt platform Languages: SQL, Python, bash or PowerShell Networking: SSH tunneling, VPNs, PrivateLink Modern data stack tools and ecosystem technologies Hiring Process Interview with Talent Acquisition Partner Interview with Hiring Manager Technical Interview Team Interview Final Interview: Mock Demo Compensation & Benefits The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 80% base salary and 20% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. #LI-LC1 #LI-HYBRID #LI-MP1 OTE (On Target Earning) $155,000 — $175,000 USD 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: Limassol; Nicosia; Athens Workplace: hybrid The Role:  Are you passionate about transforming complex data into intelligent, business-driven solutions? Do you enjoy solving challenging problems, developing cutting-edge machine learning models, and collaborating with highly skilled professionals? We are looking for a Senior Data Scientist to join our growing Data Science team. In this role, you will play a key part in designing and delivering innovative data products that create measurable business impact. You'll work with large-scale datasets, advanced machine learning techniques, and modern technologies while collaborating with multiple teams, and business stakeholders to bring data-driven solutions into production. The main responsibilities of the position include: Lead the design, development, and delivery of high-impact data science and machine learning solutions. Translate complex business challenges into structured analytical approaches and scalable data products. Build, evaluate, and optimize advanced machine learning models, ensuring high standards of quality, performance, and reliability. Contribute to technical decisions and best practices across the data science lifecycle. Review and validate data preparation, feature engineering, model selection, experimentation, and documentation. Support the deployment and operationalization of machine learning models in batch and real-time environments. Present analytical insights and recommendations to technical and non-technical stakeholders. Ensure compliance with data quality, model governance, security, privacy, and responsible AI standards. Identify opportunities to leverage data science for automation, forecasting, personalization, optimization, and risk management. Collaborate closely with Data Engineers, Machine Learning Engineers, Software Engineers, Product Owners, and business stakeholders to develop production-ready solutions. Contribute to improving team processes, technical standards, and project delivery methodologies. Support the Lead Data Scientist in defining priorities, roadmaps, and strategic initiatives. Main requirements: University degree in Mathematics, Physics, Engineering, Computer Science, Data Science, or a related field. At least 5 years of experience in a similar role. Hands-on experience with Python libraries such as Pandas, NumPy, and Polars for data processing and analysis. Strong Python programming skills with the ability to write clean, maintainable, and production-ready code. Strong knowledge of modern machine learning techniques and advanced architectures, including Transformers and Graph Neural Networks (GNNs) . Experience with data visualization libraries such as Matplotlib, Seaborn, and Plotly . Good knowledge of SQL and statistical analysis. Excellent analytical thinking and problem-solving skills. High attention to detail and commitment to delivering high-quality solutions. Strong communication skills with the ability to explain technical concepts to non-technical audiences. Excellent verbal and written communication skills in English. A collaborative mindset, curiosity, and a passion for continuous learning. What would be considered as an advantage: Exposure to Natural Language Processing (NLP). Experience working with NoSQL databases. Knowledge of software engineering best practices. Experience working in Unix/Linux environments. Basic understanding of AWS services and cloud-based machine learning environments. Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: India; Cairo, Egypt; Lebanon; Istanbul, Turkey Muller's Solutions is looking for a motivated Presales Consultant to support our sales team by engaging with clients, understanding business requirements, and positioning the right technology solutions. Job Summary The Presales Consultant will work closely with the sales and delivery teams to understand customer needs, prepare technical and commercial proposals, conduct solution demonstrations, and support the sales cycle from qualification through proposal submission. Key Responsibilities Engage with customers to understand business and technical requirements. Conduct discovery sessions and gather customer needs. Design and present solution proposals aligned with customer requirements. Prepare presentations, RFP/RFI/RFQ responses, and technical documentation. Deliver product demonstrations and solution walkthroughs. Collaborate with delivery and technical teams to develop solution architectures. Support the sales team throughout the sales cycle. Stay updated on market trends and enterprise technology solutions. Build strong relationships with customers and technology partners. Requirements 3+ years of experience in a Presales, Solution Consulting, or Solution Architect role. Experience with at least one enterprise platform such as: SAP ServiceNow OpenText Boomi Microsoft Dynamics 365 Oracle ERP Salesforce Previous experience working with ERP or Enterprise Software solutions is highly preferred. Strong understanding of business processes and digital transformation. Experience preparing technical proposals and responding to RFPs. Excellent presentation and communication skills. Ability to explain technical concepts to both technical and non-technical stakeholders. Strong English communication skills. Preferred Qualifications Experience in enterprise integrations, cloud solutions, or workflow automation. Experience working with enterprise customers in the Middle East is a plus. Relevant vendor certifications (SAP, ServiceNow, Boomi, OpenText, etc.) are advantageous.

Location: South Africa; Colombia; Philippines; Mexico; Argentina; Venezuela, Bolivarian Republic of About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients range from high-growth startups to established tech platforms across SaaS, MarTech, FinTech, and EdTech. Unlike traditional agencies, we place you directly into high-impact roles where your work drives real outcomes. Contract type: Freelance Job Summary We are looking for a high-energy Sourcing Specialist. This isn't just a volume game; it’s about strategic hunting. You will be responsible for identifying, engaging, and qualifying elite talent for a variety of critical roles. If you are a sourcing expert who knows how to navigate deep search layers and convert passive prospects into active candidates, you will thrive in this fast-paced environment. Key Responsibilities Execute sophisticated sourcing strategies to build robust talent pipelines for technical and non-technical roles. Deep-dive into various sourcing channels, including LinkedIn Recruiter, specialised job boards, and alternative databases. Craft highly personalised outreach messages that achieve high response rates from top-tier passive candidates. Screen and qualify candidates to ensure cultural and technical alignment before presenting them to the hiring team. Stay ahead of industry trends and tools to continuously optimise the sourcing workflow. Maintain organised candidate data within the ATS to ensure a seamless handoff to hiring managers. Requirements Proven experience as a Recruiter or Talent Sourcer with a strong focus on proactive talent identification and outbound sourcing. Demonstrated success hiring remotely across multiple international markets, including South Africa, LATAM, the UK, Europe, and the US . Extensive experience sourcing Sales Development Representatives (SDRs), Business Development Representatives (BDRs), Customer Success Managers (CSMs), Account Managers (AMs), Account Executives (AEs), and broader GTM (Go-to-Market) roles . Advanced sourcing expertise using LinkedIn Recruiter, Google X-Ray search, Boolean search techniques, Pnet, and other job boards and sourcing platforms . Strong mastery of advanced Boolean search strings, X-Ray searches, and alternative sourcing methods beyond traditional keyword matching. Proven ability to identify, engage, and convert passive candidates in competitive talent markets. Excellent written and verbal communication skills with a confident, professional phone presence. Highly organised with strong attention to detail and experience maintaining accurate ATS and CRM records. Benefits 🌍 Fully remote role with flexible working environment 🚀 Work with high-growth international companies across tech sectors 📈 Clear progression path within a performance-driven team 🎯 High ownership and autonomy in your day-to-day work

Location: London, United Kingdom Workplace: hybrid EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. We are looking for a dedicated Data Analyst to join our team in London! About the job: This is a rare opportunity to shape how data-driven decision-making works at scale across an iGaming CRM platform — both from the inside and for the operators who rely on it. As Data Analyst, you will sit at the intersection of product and commercial impact. You will define what “good” looks like for player engagement, build the analytical foundations that power our CRM platform’s insight layer, and work directly with operators to translate raw data into strategies that grow retention, lifetime value, and campaign performance. You will not just report on what happened - you will define what should be measured, why it matters, and how to act on it. This role is as much about influence and expertise as it is about analysis. What You'll get to do: Define the KPIs, metrics, and analytical frameworks that underpin our CRM platform’s reporting and intelligence capabilities. Work closely with Product and Engineering to shape what data gets captured, how it is structured, and how it surfaces to end users. Build and maintain dashboards, reports, and self-serve analytical tools that operators can act on directly. Identify gaps in current data coverage and lead initiatives to close them. Partner with operators to understand their retention and engagement challenges, and translate those into data-driven recommendations. Develop scalable insight frameworks - benchmarks, cohort analyses, segment performance models - that can be applied across multiple operators simultaneously. Produce regular insight packages that help operators understand player behaviour, campaign effectiveness, and growth opportunities. Identify cross-operator patterns and trends that can inform product development and best practice guides. Analyse campaign performance across the full lifecycle: targeting, delivery, engagement, conversion, and retention impact. Define and evolve segmentation logic, player scoring models, and lifecycle stage definitions. Establish A/B testing standards and support teams in designing, running, and interpreting experiments. Build predictive indicators for churn, reactivation potential, and player value to support proactive campaign strategies. Act as the analytical authority in cross-functional discussions with Product, Commercial, and Customer Success teams. Present findings and recommendations clearly to both technical and non-technical audiences, including operator-side stakeholders. Contribute to roadmap planning by surfacing data-backed opportunities and gaps. What we’re looking for: 5+ years of experience in a Data Analyst or similar role. Hands-on iGaming CRM experience is essential - you must have worked within an iGaming operator or platform environment, with a strong understanding of player behaviour, bonus mechanics, and retention marketing. Deep understanding of CRM operations: campaign logic, segmentation, lifecycle marketing, and retention mechanics. Strong SQL proficiency - you are comfortable building complex queries, data models, and analytical datasets from scratch. Experience working with large-scale behavioural or transactional datasets. Proven ability to define metrics and measurement frameworks, not just report against existing ones. Experience building dashboards and self-serve reporting tools (e.g. Looker, Tableau, Metabase, or similar). Comfortable working directly with external clients or operators, translating their business questions into analytical answers. Strong written and verbal communication skills - you can tell a clear story with data. Desirable: Familiarity with A/B testing methodologies and experiment design. Exposure to predictive modelling or working alongside data scientists on applied ML use cases (churn, LTV, propensity). Experience with event-driven or streaming data environments. Python or R for analytical scripting and automation. Here's what we offer: Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with us. Hybrid work schedule is available after the first three months of employment, with up to 50 days of work from home per year. Private medical insurance with the option to add dependants. Monthly meal allowance. Gym allowance. Access to online learning platforms like Udemy for Business and a budget for external training. Benefit from two Free Fridays each year, limited to one per quarter. 3 sick leave days per year, no doctor's note required. Support for New Parents: - 52 weeks of paid maternity leave, with 21 weeks being fully paid -  4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old. At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference! EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Location: Dublin, Dublin, Ireland, EMEA 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 Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a talented Senior Sales Engineer to join our Commercial sales team. As a Commercial Sales Engineer, you will work closely with our sales team to understand our Commercial customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle. This is a full-time position based out of our Dublin office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks,  Kubernetes, Docker, Podman, Grafana, Linux, Windows, Python, Java What You’ll Do Work with Commercial customers to understand their business, their use cases, and their data replication requirements Develop and deliver technical presentations to Commercial audiences Ensure the technical win by running an organised proof-of-value process Work closely with multiple cross-functional organisations, driving change and improvements to Fivetran as a whole. Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence Stay up-to-date on the latest technologies and trends in our industry Assist team members in advanced technical or business roadblocks Skills We’re Looking For 4+ years in data replication, sales engineering, or related technical field Strong technical background covering database replication, cloud infrastructure, and data replication technologies with some form of hands on experience Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise Bonus Skills​ Experience developing partner relationships Specialized expertise in security posture Experience with self-hosted and SaaS software applications Hands on experience with DBT #LI-DC1 #LI-HYBRID 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: APAC About the company Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We were the first company to tokenize exposure to US Treasuries, and have since expanded into several other assets. We are also focused on incubating protocols that can support both tokenized real-world assets and traditional crypto. Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S. About the role We are looking for an experienced Solutions Engineer to join our growing team and help power Ondo's expansion across the APAC region. This is a highly technical, partner-facing role responsible for helping exchanges, custodians, wallets, and other strategic partners successfully integrate with Ondo's products and infrastructure. As one of the primary technical points of contact for partners, you'll work closely with Business Development, Product, and Engineering teams throughout the entire partner lifecycle—from technical discovery and solution design through implementation, launch, and ongoing optimization. You'll troubleshoot complex integration challenges, provide technical guidance, and ensure partners are successful long after launch. This role is ideal for someone who enjoys solving difficult technical problems while building strong external relationships. You'll act as the bridge between our partners and internal engineering teams, helping accelerate integrations while identifying opportunities to improve our products and developer experience. The ideal candidate combines strong software engineering fundamentals with excellent communication skills and a deep understanding of blockchain infrastructure. Experience working with exchanges, crypto infrastructure providers, or institutional blockchain products is highly valued. This role is focused on supporting partners across the APAC region. Fluency in English and Mandarin Chinese is required , and candidates should be comfortable maintaining approximately 8–10 hours of overlap with U.S. working hours each week to collaborate effectively with our globally distributed team. Responsibilities Lead technical integrations with strategic partners across the APAC region, including exchanges, custodians, wallets, and other ecosystem participants Serve as the primary technical point of contact throughout partner onboarding, implementation, launch, and post-launch support Work closely with Business Development during technical evaluations, architecture discussions, and partner diligence Troubleshoot complex technical issues and drive rapid resolution by coordinating with Engineering and Product teams Build trusted relationships with partner engineering teams and provide technical guidance throughout the integration lifecycle Coordinate successful partner launches and drive post-launch adoption and ongoing technical success Translate partner feedback into actionable product improvements and advocate for enhancements to Ondo's platform Improve developer experience by identifying friction points and helping evolve documentation, tooling, and integration processes Collaborate cross-functionally with Engineering, Product, Business Development, and Operations to ensure successful partner outcomes Stay current on blockchain infrastructure, tokenization, APIs, and digital asset ecosystem developments Requirements 5+ years of experience in Solutions Engineering, Technical Account Management, Forward Deployed Engineering, Developer Relations, or a similar technical customer-facing role Strong software engineering or systems engineering foundation with the ability to understand APIs, distributed systems, and blockchain infrastructure Professional experience within crypto, digital assets, blockchain infrastructure, or Web3 Experience supporting technical integrations with external partners or enterprise customers Excellent communication skills and the ability to explain complex technical concepts to both technical and non-technical stakeholders Demonstrated ability to independently own partner relationships and drive projects from discovery through production launch Strong troubleshooting and problem-solving skills with a bias toward execution Experience collaborating closely with product and engineering teams to resolve technical issues and improve products Fluency in both Mandarin Chinese and English is required Willingness to maintain regular overlap with U.S.-based teams (approximately 8–10 hours per week) Preferred Qualifications Experience supporting exchange integrations, institutional trading infrastructure, or digital asset custody platforms Experience with DeFi protocols, tokenization platforms, or real-world asset infrastructure Previous experience at organizations such as Binance, Coinbase, Kraken, OKX, Anchorage, Paxos, Chainlink, Consensys, or similar blockchain companies Experience working with REST APIs, SDKs, blockchain nodes, smart contracts, or developer tooling Background in Developer Relations, Technical Account Management, or customer implementation roles Familiarity with institutional financial markets, trading infrastructure, or capital markets What we offer Competitive compensation including but not limited to salary, future token rights, and/or equity (according to your preferences) — We are well-funded and believe that great talent deserves great compensation. Full benefits (medical, vision, and dental) and flexible vacation policy (PTO). Remote-first team across many countries — You will be an early team member helping shape our vision, culture, and design practices. A+ colleagues — Our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Coinbase, Circle, Uniswap. Best-in-class investors — We are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic's mission is the responsible development and maintenance of advanced AI for the long-term benefit of humanity. We are a safety-focused AI company working to build reliable, interpretable, and steerable AI systems. As our compute infrastructure scales to support frontier model training and deployment, we are building a world-class team to design, deliver, and operate the physical facilities that make that possible. About the Role We are looking for a Principal Data Center Architect with deep expertise in Civil, Structural, and Architectural (CSA) design to join our growing infrastructure team. This role is the technical owner for the physical building fabric of Anthropic's AI compute facilities — from the earliest site feasibility studies and test fits through reference design development, design partner oversight, and construction delivery. As Anthropic scales its data center program across multiple sites in the United States and internationally, you will set the civil, structural, and architectural standards that govern how our facilities are designed and built. You will work directly with design-build partners, AE firms, and internal mechanical, electrical, and IT infrastructure teams to ensure our facilities are optimized for high-density AI workloads, constructable on aggressive timelines, and replicable across a growing portfolio. This is an owner's engineer role — you are the technical authority, not a consultant. You will be expected to make binding design decisions, identify problems before they reach the field, and drive standardization across a pipeline of concurrent projects globally. What You'll Do Own the civil, structural, and architectural reference design standards for Anthropic's data center portfolio, establishing repeatable design elements deployable across multiple sites and jurisdictions Lead front-end test fits and site feasibility studies, evaluating structural approaches, site constraints, utility interfaces, and code compliance to inform site selection and design direction Review and approve CSA deliverables from design-build partners and AE firms at each design stage (SD, DD, CD, IFC), including drawings, structural calculations, specifications, and geotechnical reports Integrate CSA design with mechanical, electrical, plumbing, fire protection, and IT infrastructure teams to produce coordinated designs that support high-density AI compute and direct liquid-cooling systems Drive site and campus planning to maximize compute density, optimize construction phasing, and align physical layout with IT and operational requirements Partner with the construction and delivery team to provide technical oversight during construction, resolve field issues, and support commissioning activities Evaluate and develop relationships with design partners, structural engineering subconsultants, and prefabrication / modular vendors; define qualification and performance standards Establish and maintain facility support area standards — logistics staging, loading, maintenance access, and operational support spaces — scaled for hyperscale deployments Identify modular and prefabricated construction opportunities that reduce schedule, cost, and design risk across the project pipeline Manage review cycles and coordinate across internal and external stakeholders to resolve design conflicts and keep projects moving on aggressive timelines Travel to project sites globally for design reviews, construction audits, and commissioning milestones (up to 40%) What We're Looking For Required 10+ years delivering mission-critical facility infrastructure, with at least 6 years directly in hyperscale or large-scale data center CSA design Deep technical expertise across civil site development, structural design, and architectural programming for industrial or mission-critical facilities Demonstrated experience as an owner's engineer or lead technical authority — setting standards, approving deliverables, and managing external design teams Proficiency with applicable building codes and standards including IBC, IFC, ASCE 7, ACI 318, AISC, FM Global, and local jurisdictional requirements across multiple geographies Experience with high-density compute environments, including structural and architectural accommodation of direct liquid-cooling systems, overhead busway, and dense rack deployments Track record of driving design standardization and developing repeatable reference designs across a multi-site portfolio Ability to evaluate and red-line structural calculations, civil site plans, and architectural construction documents for accuracy, completeness, and constructability Experience coordinating across MEP disciplines and IT infrastructure teams in a fast-paced, multi-project environment Clear and direct communication with both technical and non-technical audiences; ability to make and defend design decisions with incomplete information Preferred Licensed Professional Engineer (PE) in civil or structural engineering, or licensed architect (AIA / RA) Experience with prefabricated and modular construction strategies for data center applications Familiarity with geotechnical risk assessment and foundation design for large industrial facilities LEED accreditation, Uptime Institute AOS/M&O certification, or equivalent mission-critical credentials International project delivery experience (Europe, Asia-Pacific, or other regions) Experience reviewing design packages in Autodesk Construction Cloud, Revit, or Navisworks The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Technical Recruiter at Anthropic, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems. Key Responsibilities Develop and execute strategic recruiting plans to identify and source highly qualified candidates Partner with technical and non-technical hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications Implement recruiting processes and programs such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams Enhance Anthropic’s employer brand to showcase our mission, culture, and values to candidates Provide an exceptional candidate experience throughout the recruiting process Minimum qualifications Deep full lifecycle recruiting experience, with substantial time supporting technical engineering organizations Proficiency with an applicant tracking system like Greenhouse and other modern sourcing tools Experience partnering directly with hiring managers on intake, bar calibration, and interview loop design Sound independent judgment on candidate quality, and the ability to independently partner with multiple hiring managers are complex searches Genuine interest in Anthropic's mission and in the role a strong security function plays in achieving it Preferred qualifications Experience recruiting at a high-growth technology, AI, or machine learning company Working knowledge of the security credential landscape and clear judgment about where those credentials carry signal and where they do not Experience hiring for engineering, incident response, threat intelligence, insider risk, or physical security Experience improving recruiting processes, market maps, or interview architecture where they were thin or absent Comfort using LLMs to accelerate sourcing, research, and market mapping 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 — $295,000 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, Washington, United States, AMER 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 Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking to hire a Senior Solutions Architect, Enterprise to join our Field Engineering team. As a Solutions Architect, you will be a trusted technical advisor to some of our largest and most strategic customers, helping them evaluate, adopt, and expand their use of dbt. You’ll partner closely with Sales to understand customers’ technical and business priorities, design solutions using the dbt platform, and demonstrate measurable value throughout the evaluation process. You’ll work across the customer lifecycle—from technical discovery and evaluation through adoption and expansion—while partnering with Product, Engineering, and our technology partners to bring customer needs back into the business. This is a full-time position based in the Pacific Northwest. Technologies You’ll Use SQL, dbt, cloud data warehouses and lakehouses including Snowflake, Databricks, and BigQuery, AWS, Azure, and GCP, modern data integration and orchestration technologies, and AI-assisted productivity tools. What You’ll Do Lead technical discovery with enterprise customers, connecting technical requirements to business outcomes and measurable success criteria Design enterprise-grade data transformation and analytics architectures using dbt Partner with Sales to communicate the technical and business value of the dbt platform Lead customer evaluations and technical validation, including trials and proof-of-value engagements when appropriate Build trusted relationships with technical practitioners, data leaders, and executive stakeholders Guide customers through technical architecture, security, governance, and deployment considerations Partner across the customer lifecycle to support successful adoption and identify opportunities for expansion Bring customer and field insights to Product and Engineering to help influence product strategy and roadmap Build strong relationships with technology and consulting partners, including Snowflake, Databricks, AWS, and other members of the modern data ecosystem Contribute technical expertise, reusable best practices, and thought leadership to the broader Field Engineering organization and dbt community Skills We’re Looking For 4+ years of experience in sales engineering, solutions architecture, consulting, or a similar customer-facing technical role within data, analytics, or BI Strong technical foundation in SQL, data transformation, ETL/ELT, and data modeling Strong understanding of modern cloud data warehouse, lake house, and analytics architectures Ability to uncover and translate technical and business requirements into concrete solutions and measurable outcomes Excellent written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences Ability to establish credibility and build trusted relationships with stakeholders ranging from data practitioners to senior executives Ability to operate effectively in a fast-paced, evolving environment while collaborating across Sales, Product, Engineering, and Customer teams Bonus Skills​ Experience with dbt or analytics engineering Experience with Snowflake, Databricks, BigQuery, or other modern cloud data platforms Experience with data modeling methodologies such as dimensional modeling, Kimball, Data Vault, or 3NF Experience with enterprise data integration or ETL platforms such as Informatica, Boomi, or Talend Experience supporting complex enterprise technical evaluations, migrations, or transformation initiatives Compensation & Benefits The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 70% base salary and 30% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. OTE (On Target Earning) $197,512.50 — $274,329.23 USD 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: Salt Lake City, Utah, United States About the Role iCapital is seeking a detail-oriented and technically capable Analyst or Associate to join Strategic Transformation team. This individual will own root-cause investigations of production data issues, contribute to ETL pipeline development, and act as the primary liaison between Fund Finance operations and engineering. This role will help define requirements, drive data quality initiatives, and build the tooling and dashboards that give stakeholders real-time visibility into exceptions and resolution status. The Strategic Transformation Data team is an embedded data function within Fund Finance at iCapital. This team partners directly with Fund Operations, Technology, and Product teams to resolve data quality issues, build ETL pipelines, and deliver automation tooling that enables the business to scale. The team sits at the intersection of data engineering, business analysis, and operational transformation. Responsibilities Perform root-cause analysis of production data issues using SQL, working cross-functionally with engineering and operations teams to drive resolution. Support and contribute to ETL pipeline development, collaborating closely with Product managers and engineers throughout the development lifecycle. Serve as the primary liaison between fund administrators, business groups, and technology teams to manage and resolve data exceptions and discrepancies. Develop exception management tooling to strengthen data quality controls and produce metrics and dashboards that help stakeholders prioritize issue resolution. Define clear business and technical requirement documents for engineering teams addressing new features or existing issues. Build an in-depth understanding of end-to-end organizational data flows and their downstream impact on Fund Finance business processes. Write test cases and perform UAT to ensure issues are identified and addressed before production deployment. Identify and contribute to automation initiatives that reduce manual intervention in recurring data workflows, including reconciliation, ingestion monitoring, and exception handling. Formalize operational knowledge into structured documentation, enabling the team to scale independently of individual expertise. Own the end-to-end delivery of data initiatives supporting Fund Finance, Transactional Operations, and Investor Relations workflows, partnering with Product Managers and internal stakeholders to define scope, gather business requirements, translate needs into technical solutions, and drive implementation for both existing workflows and new product features Serve as a subject matter expert on data workflows and platform functionality, independently advising internal teams on data dependencies, product functionality, and operational impacts Qualifications 2+ years of experience in a business analyst, data support, or application support role within financial services Bachelor’s degree or higher in computer science, business analytics, business administration, finance, or a related field Proficiency in SQL for data analysis, investigation, and root-cause diagnostics Strong relationship management skills with the ability to build partnerships and work effectively across internal teams, fund administrators, vendors, and other external stakeholders Proven ability to balance multiple projects, priorities, and stakeholder conversations across different teams and business functions Proven ability to perform structured root-cause analysis and coordinate with engineers through investigation and resolution Strong analytical and problem-solving skills, with the ability to translate complex data issues into clear business language Excellent communication and stakeholder management skills and comfortable working across technical and non-technical audiences Experience with private equity, hedge fund, or alternative investment operations and data Familiar with ETL pipeline concepts, data ingestion patterns, or workflow automation Experience writing Jira tickets or structured requirement documents for engineering teams Exposure to AI-assisted tooling or automation frameworks and Python are a plus Benefits The base salary range for this role is $70,000 to $85,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. ABOUT THE ROLE Checkout.com http://Checkout.com is looking for a Data Scientist to join our ambitious team, focused on discovering, designing, and experimenting with new estimators, models and features to boost payment performance across our portfolio of merchants. You will work closely with Data Scientists, Product and Engineering to enhance our core offering, protect customer lifetime value through network intelligence, and ensure safe model launches through robust observability. KEY RESPONSIBILITIES - Contribute to the research and development of new ML models and estimators to boost core Acceptance Rate performance. - Design and implement experiments to produce actionable insights, focusing on managing time-based data leakage and ensuring robust model evaluation. - Collaborate with other Data Scientists and engineers to productionise ML features, models and evolve our evaluation and monitoring frameworks. - Write high-quality, interpretable Python code for feature engineering and model training, contributing directly to our core products. - Communicate hypotheses, evaluation results, and monitoring dashboards clearly to both technical and non-technical audiences. ABOUT YOU - 3+ years of experience developing machine learning models to solve business problems. - Strong understanding of supervised ML algorithms, tuning, and performance evaluation. - Experience with a range of feature engineering techniques (e.g. target encoding). - Solid grasp of frequentist and Bayesian statistics for parameter estimation and experimentation. - Experience in writing clean, production-grade Python code for both model training and inference. - Excited to leverage LLMs for coding support and process optimisation to maximise personal and team productivity. NICE TO HAVE - Experience with advanced data transformation techniques (e.g., lambda functions). - Familiarity with, or hands-on experience in, recommender systems, contextual bandits, or network intelligence applications. - Experience in fintech, payments, or building cross-disciplinary relationships for advice and guidance. - Familiarity with the unix shell, Databricks, Docker, and common cloud platforms (GCP/AWS). Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be account compromise: Anthropic's enforcement systems have to distinguish customers whose accounts have been compromised from actors abusing the platform — and today those two populations can look identical in the data. Stolen credentials and leaked keys are a growing abuse vector, and the collateral damage from enforcement against them lands on legitimate users. You'll own this problem end to end: detection, revocation, user notification, remediation, and the criteria for restoring access — turning what is today ad hoc incident response into a scalable, repeatable program. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities Investigate credential-compromise incidents across first-party and third-party platforms, tracing actor behavior across accounts and surfaces Design and operate remediation workflows for compromised accounts: revocation, customer notification, and standards for restoring access Partner with Engineering and Data Science teams to improve how we separate compromised-customer traffic from willful abuse Enforce usage policies with a focus on detecting and mitigating potentially harmful use of AI systems Work with threat intelligence on emerging credential-abuse patterns and the actors behind them Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows Write the policy framework for compromise scenarios, including cases where Anthropic can't independently verify a customer's security posture Act as the enforcement SME when account compromise intersects with active abuse investigations Minimum qualifications Experience in trust and safety, fraud investigation, security operations, or a related field Subject matter expertise in one or more of: account takeover, credential abuse, session security, or incident response Experience designing or operating enforcement, remediation, or customer-recovery flows — not just detection Comfort using data (SQL or similar tools) to trace actor behavior across accounts and to measure what's working A thoughtful perspective on the tension between protecting the platform and restoring access for legitimate compromised customers Strong written communication skills, with experience producing clear briefs about messy incidents for technical and non-technical stakeholders Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams Preferred qualifications Familiarity with credential-theft ecosystems or threat intelligence tooling Experience working with fraud/risk vendors (e.g., device or network intelligence platforms) Experience with API platform abuse specifically, not just consumer-account ATO A deep interest in AI safety and responsible technology development Experience writing effective prompts for generative AI systems in a content review or enforcement context 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: $245,000 — $285,000 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 | 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 Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your focus will be driving a number of enforcement areas including access controls and identity verification. You'll own the policy layer of these systems: what we ask users for, when, on what grounds, and what passes. The work sits at the intersection of policy, operations, and regulatory exposure. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities Set collection policy for identity signals: what we request, in which enforcement states, and what evidence reinstates access Improve verification program health — accuracy, appeal coverage, and consistency of outcomes Own access policy for hard cases, including geographic restrictions and reseller arrangements Run the operational queue for access-control cases alongside contractor support, authoring playbooks and QA'ing scaled review output Work with Legal, Public Policy, and Privacy stakeholders to keep our approach proportionate, privacy-preserving, and responsive to an evolving regulatory landscape Coordinate enforcement consistency with third-party platform partners Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows Stand up graduated enforcement in practice — verification requests, conditional reinstatement, and appeal pathways that satisfy regulatory requirements for automated decisions Minimum qualifications Experience in trust & safety, integrity, or risk policy work Hands-on operational experience — you've owned or quality-checked live enforcement queues, not only authored policy Subject matter expertise in one or more of: KYC, identity verification, age or identity assurance, or verification program operations Experience navigating evolving regulatory landscapes (including frameworks like the DSA and GDPR) as design constraints rather than blockers Experience driving cross-functional initiatives with Product, Engineering, Legal, and Policy partners — especially where safety, privacy, and usability tradeoffs need to be navigated together Comfort using data (SQL or similar tools) to measure what's working and inform decisions Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders Excellent judgment and the ability to make consistent, defensible calls on ambiguous cases Preferred qualifications Experience with graduated/tiered enforcement systems rather than binary ban models Experience with geographic access restrictions, sanctions screening, or reseller/channel policy Experience building or scaling a contractor review bench A deep interest in AI safety and responsible technology development Experience writing effective prompts for generative AI systems in a content review or enforcement context 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: $285,000 — $330,000 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.