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Location: Afton, Texas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: You are a hands-on technical professional who enjoys working directly with enterprise infrastructure and helping colleagues solve IT problems within Galaxy's Data Center team. At Galaxy’s Tier 4 AI data center in Afton, Texas, you will work closely with Site Reliability Engineering and Network Engineering to deploy and maintain high-density GPU compute and high-performance networking infrastructure. You are comfortable troubleshooting servers, physical connectivity, Windows and macOS endpoints, and day-to-day employee technology issues. You follow documented procedures, communicate clearly, and are eager to grow your networking, systems administration, and infrastructure engineering skills. What You'll Do: Site Reliability Engineer (SRE) works to execute infrastructure deployments, maintain server and network hardware, troubleshoot physical connectivity, and support data center reliability. It also serves as an on-site IT support resource for Windows and macOS devices, endpoint management, account administration, and general technical troubleshooting . Key Responsibilities: Network Cabling & Connectivity Install, label, route, and maintain copper and fiber optic cabling. Troubleshoot physical connectivity involving cables, transceivers, patch panels, and switch ports. Perform basic copper and fiber connectivity testing using appropriate tools. Assist Network Engineering with physical-layer troubleshooting, equipment installation, and connectivity changes. Document cabling issues, port assignments, equipment connections, and rack elevations. Escalate complex network issues with clear troubleshooting findings. Onsite IT & End-User Support Provide Tier 1 and basic Tier 2 support for hardware, software, operating systems, account access, and connectivity. Provision, configure, deploy, troubleshoot, and maintain Windows and macOS laptops, desktops, and endpoint devices. Assist with device enrollment, configuration, application deployment, and compliance through MDM platforms such as Microsoft Intune. Support user accounts, password resets, access troubleshooting, and basic group management in Active Directory and Microsoft Entra ID. Troubleshoot Microsoft 365 applications, including Outlook and Teams. Support onboarding and offboarding, including device preparation, access, and equipment recovery. Install and troubleshoot printers, peripherals, conference room equipment, and on-site technology. Maintain device assignments, asset inventory, and endpoint lifecycle records. Track, document, and resolve IT support requests through the ticketing system. Infrastructure Reliability & Operational Support Respond to infrastructure alerts, hardware failures, and onsite incidents under SRE and Network Engineering direction. Perform routine equipment inspections and basic infrastructure health checks. Assist incident investigations by gathering information and performing on-site diagnostics. Follow change management, maintenance windows, and documented SOPs/MOPs. Document completed work, troubleshooting, and infrastructure changes. Collaborate with engineering teams and vendors to resolve technical issues. Participate in scheduled maintenance, including occasional after-hours work. What We’re Looking For: 1–3 years of experience in data center infrastructure, IT support, desktop support, or a related technical role. Hands-on experience installing, cabling, maintaining, or troubleshooting physical servers, switches, or enterprise IT equipment. Familiarity with racks, structured cabling, fiber optics, and basic data center hardware maintenance. Experience supporting and troubleshooting Windows and macOS. Familiarity with endpoint management or MDM solutions, preferably Microsoft Intune. Basic experience with Active Directory and/or Entra ID user account and access management. Understanding of IP addressing, Ethernet, DNS, DHCP, and basic connectivity troubleshooting. Experience troubleshooting end-user hardware, software, and peripherals. Familiarity with IT ticketing, technical documentation, and inventory management. Ability to follow technical instructions and engineering direction accurately. Strong communication, organization, collaboration, and problem-solving skills. Bonus Points: Experience in enterprise and/ or colocation data centers. Familiarity with enterprise server platforms. Exposure to networking equipment. Experience with fiber optics, transceivers, and/ or high-speed links. Experience with Intune enrollment, configuration profiles, compliance policies, and/ or application deployment. Experience with Microsoft 365 administration and/ or endpoint security tools. Basic familiarity with Hypervisor virtualization, VM management, and self hosted enterprise storage. Exposure to cable certification, fiber testing, and/ or network diagnostic tools. Familiarity with infrastructure monitoring, asset management, and/ or documentation platforms. Basic PowerShell, Bash, or Python scripting experience. Experience with employee onboarding, device lifecycle, and/ or IT asset tracking. Familiarity with IT change management and incident response. OSHA 10-Hour or OSHA 30-Hour Outreach Training completion (construction or general industry); current training card preferred. What We Offer: Competitive base salary and discretionary bonus Paid Time Off Company-paid health and protective benefits for employees, partners, and other dependents Company Paid Holidays (14) 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Headspace Opportunities to learn about the Crypto industry Free daily snacks and daily meals Smart, entrepreneurial, and fun colleagues Employee Resource Groups Benefits may vary depending on location. Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: India Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. The Role: This is an exciting opportunity to join and help grow Galaxy’s data engineering team in Mumbai at the start of building a next-gen, real-time, cloud-native analytics platform which is powered by kdb+ technology and AI-driven analytics. You will be working in a collaborative startup-like environment with data assets that span digital and traditional finance products, services and markets. Responsibilities: Ensure stability and quality of real-time ingestion processes Build and support kdb Insights (or KDB-X) modules, packages and pipelines processing billions of real-time messages daily Develop performant queries and functions to support business activities across various trading desks Build SRE tools focusing on proactive detection of performance bottlenecks across the platform’s core q, Python and Java processes running 24x7 in AWS Required Qualifications: 5+ years of core kdb+/q development Practical experience in developing, deploying and supporting large-scale kdb+ platforms, preferably in AWS Hands-on experience with kdb Insights, including advanced usage of microservices and development of packages, pipelines and UDAs (user-defined analytics) Hands-on experience with Kubernetes services in AWS Development experience using Python data processing libraries and PyKX Preferred Qualifications: Exposure to building Datadog dashboards with kdb metrics Experience with integrating kdb+ with enterprise lakehouses, specifically Databricks Experience using AI coding agents in development, testing, release and SRE lifecycles Experience in working with crypto products, markets and data What We Offer : Competitive base salary and discretionary bonus Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching and counseling sessions Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: India Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: You're a hands-on engineer with several years of experience building and operating production data platforms. You're fluent in Python or Java and comfortable across the modern data stack — AWS, Kubernetes, Terraform, Kafka, and Databricks/Spark. You care about reliability and developer experience, write clean and well-tested code, and like enabling other teams to move fast on infrastructure you own. You're curious about crypto and energized by working at the intersection of finance and emerging technology. What You’ll Do: Build and maintain the tooling and infrastructure that lets data champions ship pipelines autonomously Own monitoring, alerting, and dataops practices that keep the platform reliable as it scales Operate Kafka as the message broker powering cross-team event-driven architecture Deploy, own and maintain infrastructure components (services, OSS helm charts) with Terraform and Kubernetes Run high-throughput, low-latency processing on Databricks/Spark and cloud-native services on AWS Support dbt for transformations and Airflow (or similar) for orchestration across the platform Partner with product, analytics, and infrastructure teams on design and delivery of platform improvements Troubleshoo t production issues and drive the fixes Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes. Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work. What We’re Looking For: Bachelor’s or Master’s degree in Computer Science , Engineering, or related field 5+ years building data or platform engineering systems in production Strong coding skills in Python or Java Experience operating production data platforms on AWS and supporting downstream teams who build on them Hands-on with Kubernetes and Terraform Experience running Kafka (or a similar broker) in event-driven systems Working knowledge of Databricks/Spark, dbt, and Airflow Solid grasp of data modeling, data quality, and relational and non-relational databases (e.g., Postgres, SQL Server) Comfortable with CI/CD, testing frameworks, and observability tooling Bonus Points: Experience with d ashboarding technologies Experience with streaming engine ( flink , kdb ) Full lifecycle development of a commercial system, including: requirements definition, agile planning, releasing, and production support Experience in Crypto What We Offer : Competitive base salary and discretionary bonus Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching and counseling sessions Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Chicago, Illinois; NYC, Remote; San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What’s the opportunity? As a Principal Customer Success Manager, you’ll partner with some of our largest and most complex enterprise customers to help them transform customer service with AI. You’ll work with executive sponsors, Support leaders, and cross-functional teams to connect Fin’s capabilities to business priorities and guide customers from strategy and implementation through adoption, measurable value, and renewal. You’ll own the success strategy for a portfolio of strategic enterprise customers, navigating complex organizations, multiple stakeholder groups, and evolving business needs. This is an opportunity to advise senior leaders, influence how global businesses deploy AI, and help shape the playbooks and best practices for our growing Customer Success team. Responsibilities Own the health, success strategy, and retention of a portfolio of strategic enterprise customers, partnering closely with Account Management on renewal plans. Build relationships across executive sponsors, operational leaders, technical teams, and frontline users. Develop multi-threaded stakeholder maps and ensure alignment across decision-makers and teams. Lead executive conversations, strategic planning, QBRs/EBRs, and success-plan reviews that connect Fin’s roadmap and performance to customers’ business priorities. Drive measurable value realization by tying Fin’s outcomes to customer goals such as cost savings, team capacity, customer experience, and service quality. Make progress and ROI clear to executive sponsors. Develop and prioritize customer-specific AI and automation roadmaps, aligning business objectives, operational readiness, technical dependencies, and measurable milestones. Guide complex enterprise implementations and adoption programs, including requirements gathering, process mapping, and documentation of workflows across teams, systems, or regions. Partner with Solutions Engineering, Product, Support, and other internal teams to translate customer requirements into effective Fin solution designs. Advise on configuration, knowledge strategy, integrations, and prompt design. Monitor leading indicators such as Fin resolution rate, involvement, CSAT, adoption breadth, and stakeholder engagement. Identify risks early and lead mitigation plans that protect customer outcomes and renewals. Analyze usage and performance data to identify optimization opportunities, close resolution gaps, and uncover expansion use cases. Maintain deep knowledge of Fin’s evolving capabilities and the AI-agent market, using that expertise to advise customers and position solutions against alternatives. Represent the Voice of the Customer internally, translating enterprise customer needs into actionable product feedback and influencing our solutions strategy. Mentor other CSMs and contribute to the playbooks, operating practices, and standards of a growing enterprise Customer Success team. What skills do I need? 8+ years of customer-facing experience in enterprise Customer Success, strategic account management, management consulting, strategy, or a related advisory role. Demonstrated experience working with large enterprise clients, including complex organizations, senior stakeholders, and multi-team or cross-functional programs. A track record of building executive relationships and influencing decisions across a range of customer stakeholders, from C-suite leaders to operational and technical teams. Demonstrated success driving adoption, retention, process improvement, and measurable business outcomes for enterprise customers. Experience with business process mapping, requirements analysis, solution design, or complex technology implementations. Strong commercial judgment and the ability to connect product performance and customer outcomes to ROI, renewal strategy, and expansion opportunities. Strong technical acumen and a genuine interest in AI, automation, and agent-building. Coding experience is not required. Ability to simplify complex problems and communicate clearly with both executive and technical audiences. Excellent prioritization and program-management skills, with the ability to manage competing priorities across a strategic customer portfolio. Self-motivated, adaptable, and curious, with the judgment and ownership to operate effectively in a fast-changing environment. A collaborative team player who can influence across functions, advocate for customers, and help elevate the work of the broader team. The OTE range for candidates within the New York or San Francisco Bay Area is $222,300- $247,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). The OTE range for candidates within the Greater Chicago Area is $200,070 - $222,300. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: USA - New York (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: New York City, NY (hybrid). This is a full-time position, and candidates must be located in the greater NYC area and able to work in the office two days a week (Tuesday and Thursday). What you'll do Product Adoption and Customer 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 after 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 account teams to drive incremental ARR through expansion plays. 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 and/or Fivetran; 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) $165,000 — $190,000 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: New Jersey; New York; Connecticut Workplace: remote About the role: At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. Requirements: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What We Offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $200k–$250k + bonuses; OTE up to $300k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. No Visa sponsorship We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion.

Location: New York City DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Our Global Trade Support team provides mission critical support for many of our proprietary and third-party trading systems as well as our proprietary middle and back-office systems.  They support a wide variety of trading teams globally who are participating in markets such as equities, fixed income and cryptoassets.  They perform technical support and engineering functions that include application support in testing and production environments, software deployment and configuration, and system monitoring. What you’ll do in this role: Work as part of a team to establish best-in-class production support, efficient software deployment, configuration processes, and proactive monitoring, with a goal of anticipating and avoiding issues before they occur, minimizing downtime and quick recovery from any incidents. Ensure maximum trading system availability to avoid missing any key trading opportunities Provide support for various trading groups’ production systems across a variety of asset classes and geographic locations deployed across a multi-platform production environment (primarily Linux with a little Windows) Develop proprietary process automation and monitoring tools and leverage third-party technologies as appropriate Troubleshoot trading system production incidents resulting from internal (proprietary software / systems) or external factors (markets, data feeds, telecommunication lines) Automate software configuration and rollout procedures to reduce manual configuration errors and strive for flawless change management Support core market connectivity and correspond with exchanges regarding trade order activity, connectivity, and other related technical support issues Collaborate with traders, DBAs, development, back office, QA, infrastructure, technical support, business development and various management teams around the globe. Help end users and developers understand core trading and back-office systems to ensure efficient and correct use of available tools. Build documentation for common procedures, troubleshooting scenarios and system architecture. Coordinate efforts with other global support teams to ensure continuity and consistency of support in a 24x7 environment What’s needed in this role: Superior troubleshooting skills and the ability to navigate issues efficiently that do not have a pre-defined runbook process Prior experience supporting high performance applications, process monitoring, and troubleshooting Prior experience supporting equities/equity options trading Prior experience working with FIX protocol and alternative exchange protocols Script development experience a plus SQL experience including queries/updates/table creation/basic database maintenance Linux & Windows platform support experience in a large-scale production environment Experience supporting electronic trading systems; prior experience at proprietary trading firm preferred Demonstrated knowledge of network communications, including use of multicast networking Must have some flexibility in work schedule to help ensure team coverage; rotating on-call coverage required B.S. in Computer Science or equivalent degree Self-motivation and intellectual curiosity;  desire to continually grow and always seek improvements in production support function High level of ownership and accountability, reliability, and strong follow through Ability to handle pressure and time constraints with composure; ability to multitask and context switch efficiently Strong organizational skills, including ability to effectively plan and prioritize Must have strong communication skills and demonstrate the ability to have clear and concise conversations, both written and verbal, with a variety of personalities Must be able to quickly apply prior context to troubleshooting and communication efforts The annual base salary range for this position is $175,000 to $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: United States Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE The Public Sector Partnerships Manager will identify and build relationships with government institutions across the US, bridging the gap between government and our GTM team to drive adoption of ElevenLabs’ products and to help grow government into a strong, durable revenue stream for the company. The role also involves building strategic partnerships with policymakers, industry associations, and coalitions, as well as monitoring regulatory developments and supporting policy campaigns and impact initiatives. IN THIS ROLE, YOU WILL: Drive government adoption and revenue (primary) - Identify government partnership opportunities across the United States — from healthcare and education to transport, federal agencies, and other public sector entities — and bridge the gap between government institutions and the GTM team to drive adoption and deployment of ElevenLabs’ products. - Build and maintain a wide network of relationships across US government institutions — spanning federal departments, agencies, and state governments — not limited to regulatory or policy counterparts. - Promote government adoption of ElevenLabs products and services in partnership with the GTM team. Build strategic partnerships (secondary) - Build and maintain strong relationships with policymakers, regulators, industry associations, and civil society groups. - Represent ElevenLabs at conferences and industry events, advancing the company’s public policy goals. Monitor and advise on policy (tertiary) - Lead ElevenLabs engagement with government bodies and officials across the United States, with a focus on AI governance, safety, copyright, privacy, transparency, data protection, competition, and/or digital rights. - Monitor, analyze, and advise on emerging regulations impacting the company. - Support the development of internal policies by our Legal, Safety, Security, and other teams. - Provide strategic counsel to company leadership on regional policy trends and their business implications. - Define and implement policy campaigns and impact initiatives that advance company objectives. WHO YOU ARE: - You’re genuinely interested in the future of AI and emerging technologies, bringing curiosity and enthusiasm to your role. - You stay up-to-date on AI regulation and industry trends, and are eager to apply this expertise to cutting-edge products. - You thrive in a fast-paced, dynamic startup environment, working cross-functionally with teams across the organization to support and scale a growing business. - You’re comfortable working independently and handling ambiguity, excelling in situations where you must make informed decisions quickly. - You bring a proactive, solution-oriented approach to each project, focused on moving the business forward. WHAT YOU BRING: Primary requirements - 15+ years’ experience in public and private sector (in-house, firm) roles, with a track record of building relationships with government that led to commercial or technology-adoption outcomes — not solely policy or regulatory roles. - A wide, current network of contacts across US government institutions — spanning federal departments, agencies, and state governments, including in healthcare, education, and transport. - Experience identifying and opening doors for technology partnerships with government institutions is strongly preferred. - Contacts or experience across other Five Eyes markets is a plus. Also required - Strong knowledge of the US AI policy landscape, including general AI governance, safety, copyright, privacy, transparency, data protection, competition, and digital rights. - Demonstrated success in designing, advocating for, and influencing policy outcomes, as well as coalition building. - Public policy experience across the United States. - Exceptional written and verbal communication skills, including when briefing government officials and other policymakers. - Fluency in English. LOCATION This role is remote, so it can be executed from anywhere in United States. However, we prefer candidates based in Washington DC, New York or California. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Brussels; London; London OR Brussels Workplace: OnSite DeFi Quant Research Intern - Digital Assets Market Making Since 2017, Keyrock has been a change-maker in digital assets. We're a global, remote-first team of 200+ people across 40+ nationalities, with hubs in Brussels, London, Paris and New York.   We provide liquidity across 80+ centralized and decentralized exchanges - a position cemented by our Series C, led by SC Ventures. Today we run a full spectrum of capital markets businesses across centralized and on-chain venues: market making, high-frequency trading, options, OTC, DeFi trading desks, advisory, and asset management.   We're building toward the agentic investment banking capabilities for the era of digital finance. A proprietary agentic layer runs the mechanics of the market, so our people can focus on the work code cannot do: the deal, the relationship, and the judgement. We're not just envisioning the future of finance - we're building it. ABOUT THE INTERNSHIP PROGRAM Our internship programme gives early-career talent the opportunity to build practical skills, contribute to meaningful projects and learn alongside experienced colleagues in digital finance. Typically lasting six months and based in our Brussels office (London possible), each internship includes hands-on experience, clear learning goals and dedicated guidance and regular feedback. We look for curiosity, relevant foundational skills, deep, active interest and passion for digital assets and the potential to grow exponentially with us - you don’t need to arrive with all the answers. Where performance, business needs and available opportunities align, an internship may lead to a permanent role, though this is not guaranteed. We are looking for 3-4 high-caliber Quantitative Analyst Interns to sit within our Strategic Market Making (CeFi and DeFi), Credit and Corporate Development desks/teams (see other openings on our career page for details). Application deadline: 30 November 2026 Start date: 1 March 2027 Selection process: - Interview with Talent Acquisition representative - Interview with Hiring Manager - Recruitment Challenge The role About Strategic Market Making Desk Our Strategic Proprietary Market Making team researches and deploys systematic trading strategies across digital asset markets. Within the DeFi track, we focus on how blockchain mechanics, protocol design and on-chain market structure shape liquidity, execution and risk. As a DeFi Quant Research Intern, you will work alongside quantitative researchers, traders and engineers to study on-chain markets and support the development of data-driven trading strategies. You will analyse blockchain and market data, test hypotheses through backtesting and simulation, build research tooling, and investigate how real-world execution—including gas, transaction ordering, liquidity fragmentation and MEV—affects strategy performance.   This is a technical and applied internship. We are looking for someone who combines strong quantitative reasoning and coding skills with genuine hands-on DeFi experience. You should be curious about how protocols work beneath the interface and able to connect blockchain mechanics to market behaviour and trading outcomes. Key Responsibilities - DeFi Quant Research Intern - Research on-chain market structure by analysing liquidity, price formation, participant behaviour and execution across decentralized markets. - Study how protocol mechanics, transaction ordering, gas, slippage, latency and MEV affect execution quality and strategy performance. - Formulate trading hypotheses and evaluate them using blockchain data, market data, backtests and simulations. - Build reusable Python tools and data pipelines for research, monitoring and performance analysis. - Analyse relationships between centralized and decentralized markets and identify their implications for pricing, hedging and risk. - Support live strategies through monitoring, post-trade analysis and investigation of unexpected performance. - Present findings clearly, including assumptions, limitations, risks and recommended next steps. WHO YOU ARE/KEY REQUIREMENTS - DEFI QUANT RESEARCH INTERN - Quantitative and coding foundations: You are pursuing or recently completed a degree in mathematics, computer science, engineering, physics, quantitative finance or a related field. You are proficient in Python for data analysis and comfortable with SQL, Git and command-line workflows. - Practical blockchain understanding: You understand transactions, state changes, gas, blocks, consensus and finality at a working level, and can reason about how smart-contract interactions execute on-chain. - DeFi market knowledge: You understand AMMs, concentrated liquidity, swaps, liquidity provision, oracles and liquidations, and how decentralized execution differs from a centralized order book. - MEV awareness: You understand how transaction ordering and block construction can create arbitrage, liquidation, backrunning and sandwiching opportunities or risks, and how these dynamics affect execution. - Hands-on curiosity: You have used DeFi beyond coursework or social media. Ideally, you have built or analysed something yourself—such as an on-chain dataset, trading or monitoring script, AMM simulation, protocol integration or research project. - Trading judgement: You naturally question whether an apparent edge survives fees, gas, latency, slippage, adverse selection and changing market conditions. - Ownership and communication: You can structure an ambiguous problem, test assumptions and communicate findings and limitations clearly in English.   NICE TO HAVE - Experience querying blockchain data through RPCs, indexers, subgraphs or analytics platforms. - Ability to read Solidity, contract interfaces and event logs. - Exposure to Rust or another systems programming language. - Familiarity with non-EVM ecosystems or Layer 2 execution models. - A technical project demonstrating sustained interest in DeFi or on-chain markets. Our offer - A 6 month paid internship at world-renowned digital assets company with accommodation provided for entirety or part of it - The opportunity to learn about digital assets and blockchain from a 30,000 ft view of the entire ecosystem - Working from one of Brussels newest, nicest and most advanced office spaces - A global, collaborative and tech-driven environment. - Autonomy & Impact - our flat structure means you can contribute your ideas from day one and help shape the foundation that will power Keyrock’s future business. - Culture of Excellence - we value nimbleness, drive for success, owner mentality and collaboration. - Opportunity to leave your mark and start your career in one of the most reputable companies in the digital assets world - We are envisioning for the internship to be based pre-dominantly in Brussels. It is possible for a selected candidate to be based in London, UK, provided at least 1-2 months onboarding period would be spent in Brussels together with the rest of the interns cohort.   Our recruitment philosophy We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock. https://keyrock.com/careers/

Location: Brussels; London; London OR Brussels Workplace: OnSite Quantitative Analyst Intern - Digital Assets Market Making (HFT) - Brussels Since 2017, Keyrock has been a change-maker in digital assets. We're a global, remote-first team of 200+ people across 40+ nationalities, with hubs in Brussels, London and Paris and New York.   We provide liquidity across 80+ centralized and decentralized exchanges - a position cemented by our Series C, led by SC Ventures. Today we run a full spectrum of capital markets businesses across centralized and on-chain venues: market making, high-frequency trading, options, OTC, DeFi trading desks, advisory, and asset management.   We're building toward the agentic investment banking capabilities for the era of digital finance. A proprietary agentic layer runs the mechanics of the market, so our people can focus on the work code cannot do: the deal, the relationship, and the judgement. We're not just envisioning the future of finance - we're building it. ABOUT THE INTERNSHIP PROGRAM Our internship programme gives early-career talent the opportunity to build practical skills, contribute to meaningful projects and learn alongside experienced colleagues in digital finance. Typically lasting six months and based in our Brussels office (London possible), each internship includes hands-on experience, clear learning goals and dedicated guidance and regular feedback. We look for curiosity, relevant foundational skills, deep, active interest and passion for digital assets and the potential to grow exponentially with us - you don’t need to arrive with all the answers. Where performance, business needs and available opportunities align, an internship may lead to a permanent role, though this is not guaranteed. We are looking for 3-4 high-caliber Quantitative Analyst Interns to sit within our Strategic Market Making (CeFi and DeFi), Credit and Corporate Development desks/teams (see other openings on our career page for details). Application deadline: 30 November 2026 Start date: 1 March 2027 Selection process: - Interview with Talent Acquisition representative - Interview with Hiring Manager - Recruitment Challenge     The role About Strategic Market Making Desk Our Strategic Proprietary Market Making team researches and deploys systematic trading strategies across centralized digital asset venues. We study how order-book dynamics, fragmented liquidity, exchange design and participant behaviour shape pricing, execution and risk. As a Quantitative Analyst Intern within the HFT track, you will work alongside quantitative researchers, traders and engineers to analyse market and trading data, test hypotheses through backtesting and simulation, and build tools that improve strategy performance and risk visibility. You will investigate how fair value, liquidity, latency, queue position, fees and adverse selection affect real-world execution across venues.   This is a technical and applied internship. We are looking for someone who combines strong quantitative reasoning and coding skills with a detailed understanding of electronic markets. You should be curious about how exchanges work beneath the interface and able to connect market microstructure to trading outcomes. Key Responsibilities - Quantitative Analyst (HFT) - Analyse multi-venue top-of-book and depth data, trades, orders, fills and cancels to study liquidity, price discovery and execution quality. - Build and validate latency-aware, event-driven backtests with explicit assumptions around maker/taker execution, queue position, fill probability, fees and cancellations. - Measure spread capture, forward markouts, fees and adverse selection, and investigate how execution quality changes across venues, instruments and market regimes. - Build reusable Python tools and data pipelines using modern columnar analysis and SQL for strategy research, performance attribution and monitoring. - Study cross-venue price discovery, lead–lag relationships, fair-value construction and spot–perpetual basis while accounting for data staleness, instrument design and settlement-currency differences. - Support live strategies through PnL, inventory and exposure analysis, post-trade review and investigation of unexpected performance. - Evaluate liquidity-program economics by balancing execution quality, market share, fees and incentives, and work with traders and engineers to translate research into robust production improvements. - Present findings clearly, including assumptions, limitations, risks and recommended next steps. WHO YOU ARE/KEY REQUIREMENTS - QUANTITATIVE ANALYST (HFT) - Quantitative and coding foundations: You are pursuing or recently completed a degree in mathematics, computer science, engineering, physics, quantitative finance or a related field. You are proficient in Python for data analysis, ideally including Polars or similar columnar tools, and comfortable with SQL, Git and command-line workflows. Experience with ClickHouse or another analytical database is valuable. - Electronic market structure: You understand limit order books, order types, maker/taker mechanics, matching and priority rules, spreads, market depth and how trades move prices. - Execution awareness: You can reason about the order lifecycle from signal to acknowledgement and fill, including exchange APIs, latency, queue position, partial fills, cancellations, fees, slippage and adverse selection. - Digital asset markets: You understand key differences between spot and perpetual futures, including basis, funding, leverage, liquidation risk, settlement currencies and residual exposure. - Quantitative reasoning: You are comfortable with probability, statistics, time-series analysis and evaluating noisy results without overstating significance. - Hands-on curiosity: Ideally, you have built or analysed something yourself—such as an order-book study, trading bot, exchange connector, backtest, execution simulator or market-data pipeline. - Trading judgement: You naturally question whether an apparent edge survives latency, fees, market impact, changing liquidity and real execution constraints. - Ownership and communication: You can structure an ambiguous problem, test assumptions and communicate findings and limitations clearly in English.   Nice to Have - Experience working with exchange WebSocket/REST APIs and asynchronous market-data pipelines - Exposure to Rust or another systems programming language - Experience with tick/order-book data, event-driven simulation or execution modelling - A technical project demonstrating sustained interest in systematic trading or market microstructure   Our offer - A 6 month paid internship at world-renowned digital assets company with accommodation provided for entirety or part of it - The opportunity to learn about digital assets and blockchain from a 30,000 ft view of the entire ecosystem - Working from one of Brussels newest, nicest and most advanced office spaces - A global, collaborative and tech-driven environment. - Autonomy & Impact - our flat structure means you can contribute your ideas from day one and help shape the foundation that will power Keyrock’s future business. - Culture of Excellence - we value nimbleness, drive for success, owner mentality and collaboration. - Opportunity to leave your mark and start your career in one of the most reputable companies in the digital assets world - We are envisioning for the internship to be based pre-dominantly in Brussels. It is possible for a selected candidate to be based in London, UK, provided at least 1-2 months onboarding period would be spent in Brussels together with the rest of the interns cohort.   Our recruitment philosophy We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock. https://keyrock.com/careers/

Location: Berlin Office; Iasi Office; London Office; Dublin Workplace: Hybrid ABOUT THE ROLE Taktile helps financial institutions make smarter, safer decisions with the power of AI. Internally, AI coding agents have made writing code dramatically faster. The bottleneck is now everything around the code: builds, tests, reviews, merges, and deploys. We're looking for a Senior Backend Engineer focused on Developer Productivity and Developer Experience to remove that bottleneck. This is a high-leverage, internal engineering role on our Platform Team: your users are Taktile's backend and frontend engineers and the AI agents working alongside them, and your product is the path from first commit to production. You'll make CI fast and reliable, make our serverless stack easier to build on, and turn "how fast can we ship safely?" into metrics we move every quarter. WHAT YOU’LL DO - Build the deployment services that ship Taktile. Own the systems behind tens of thousands of stack deployments a week across dev, staging, production, and per-customer AWS accounts: progressive rollouts through monitoring and canary stages, deployment windows and gates, and fast rollbacks. - Keep our AI developer tooling sharp. Maintain and extend Claudius, our in-house AI engineering agent that investigates CI failures, triages issues, and opens PRs, and metadev, our sandboxed Claude Code and OpenCode setup that packages Taktile's engineering knowledge for every engineer. - Own the build → test → merge loop. Drive down CI runtime and flakiness across our main monorepos. Find the slowest and least reliable steps, fix them, and keep them fixed. - Evolve our CI/CD architecture. Build on our move to per-module GitHub Actions workflows and a self-hosted runner fleet. Improve caching, parallelism, and cost per build. - Shorten the inner dev loop. Make developing on our AWS Lambda stack fast, from running services locally against preview environments to faster, container-based deploys, so engineers aren't waiting on CloudFormation to test a change. - Build paved roads. Ship templates, CLIs, and self-service tooling so any team can take a new module from first commit to a running dev workspace in under a day. - Design for humans and agents. Make our tooling fast, deterministic, and scriptable so engineers and AI coding agents get quick, trustworthy feedback. - Measure what matters. Own DevProd metrics like PR lead time, CI runtime, CI flakiness, and PRs per engineer-day. Use them to decide what to fix next and to prove the impact of what you ship. - Own our AI developer tooling. Take ownership of Claudius, our in-house AI engineering agent, and decide where it goes next. - Treat engineers as customers. Talk to teams, triage CI incidents, write clear docs, and drive migrations and deprecations to completion. REQUIREMENTS - 5+ years of professional backend engineering experience, with a track record of shipping and operating production systems end-to-end and leading technical projects across teams. - Strong, production-grade skills in at least one backend language. Python is our main language today, but we're open to others. This role is mostly writing software (tools, services, bots, and CI logic), not only configuring it. - Hands-on experience owning CI/CD at scale (for example, GitHub Actions): build and test performance, caching, parallelization, and debugging flaky tests and pipelines. - Solid AWS experience, ideally with serverless (Lambda, CloudFormation/SAM) and infrastructure as code (Terraform). - Comfortable with the latest AI coding and agent-orchestration tools (for example, Claude Code, OpenCode, subagents, and MCP). You use them daily and know how to make them work reliably for a whole engineering org. - A product mindset for internal tooling. You talk to your users, measure outcomes, and judge success by adoption and time saved. - Strong communication and stakeholder management. You can drive a change across many teams you don't manage: write the proposal, plan the rollout, and see it through. IDEAL, BUT NOT REQUIRED - Prior experience on a developer productivity, developer experience, build/release engineering, or platform team. - Experience as a product-facing backend engineer, so you know firsthand where the development loop hurts. - Experience with frontend build and test tooling in the TypeScript/React ecosystem, so you can support our frontend engineers too. - Experience running self-hosted CI runners or build infrastructure at scale. - Experience with progressive delivery: canary deployments, automated rollbacks, and deployment gates. - Experience with monorepo tooling, build systems, or dependency management at scale. - Experience building AI agents or agent infrastructure, such as MCP servers, agent harnesses, or evals. OUR STACK - AI: Claude, Claude Code, OpenCode - Programming Languages: Python and TypeScript (React) today; open to others where they fit better - Cloud & Infrastructure: AWS (Lambda, SAM/CloudFormation, ECR, CodeDeploy), Docker, Terraform - CI/CD: GitHub Actions, self-hosted runners - Internal Tools: GitHub, Linear, Notion, Metabase OUR STANCE - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.   ABOUT US Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.   About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy. To exercise your rights or ask questions, contact privacy@taktile.com.

Location: San Francisco; New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff Software Engineer on the Product Security team at Harvey, you will have the opportunity to build security directly into the product. Harvey stores and processes our customers’ most sensitive data and our entire business model depends on a foundation At Harvey, you will find that security is paramount at every stage of our product lifecycle. In this role you will drive high-leverage security initiatives that raise the bar for the entire company — balancing hands-on technical work with cross-functional leadership and mentorship. This is a rare opportunity to design and build a world-class product security program at one of the fastest growing AI-native companies. The Harvey Security organization has an engineering-first mindset and team members bring a variety of skills and come from various backgrounds. What the team shares in common is a desire to drive impact at scale and solve complex security challenges together. The problems we are solving today are often unsolved in the industry - making this an incredible career and personal growth opportunity. WHAT YOU’LL DO - Define and own the product security roadmap - Establish risk based prioritization for product security features, balancing business velocity with customer trust. - Partner with security leadership to drive organization maturity. - Establish secure design principles for every stage of development, directly supporting Engineering, Product and Design teams. - Raise the security bar across Harvey through scalable code and design reviews. - Innovate new ways to Threat Model and surface security vulnerabilities at scale. - Establish and evolve the security posture across Engineering by setting standards that scale with the company - Architect secure-by-default tools and libraries to make the secure path the only path for developers at Harvey. - Drive incident triage and translate vulnerability findings into end to end solutions. - Directly mentor and lead junior engineers to up-level the Security organization. WHAT YOU HAVE - 8+ years of experience in product security, application security and/or security-focused software engineering. - Track record of identifying and remediating software vulnerabilities through CVEs, bug bounty awards or published research. - Experience independently delivering high-quality, production software end to end. - Experience leading complex cross-functional security initiatives. - Ability to handle prioritization and tradeoff discussions with senior leadership. - Excellent communication and collaboration skills, particularly when translating security risks into business terms for non-security stakeholders. - Excel at measuring and communicating security metrics and business risk reduction as it relates to product security investments. - Experience mentoring both junior and senior engineers across engineering. - Proactive approach to solving complex security challenges. - Positive attitude and willingness to learn. NICE TO HAVE - Experience building security programs or practices at hyper-growth startups - Background with cloud environments (Azure, GCP, AWS) and cloud-native security patterns - Experience with AI/ML systems and emerging security considerations for LLM-based applications COMPENSATION $220,000 - $330,000 DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-KV1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York, New York, United States EQT is looking for a Vice President, Tax Compliance to help lead its US tax compliance and reporting activities, working closely with the New York-based tax team and the wider Global Tax function. This role offers an opportunity to take ownership of a broad range of tax compliance work within a global investment firm, while partnering with colleagues across multiple jurisdictions. About the Team The Tax Compliance team sits within EQT's global Tax & Structuring (T &S) function, which brings together more than 30 professionals across New York, London, Stockholm, Luxembourg, Singapore, and Hong Kong, with a new team now building in Warsaw. The team is multicultural, with backgrounds spanning tax compliance, accounting, advisory, M&A, and tax operations across multiple jurisdictions . The team manages EQT's international tax compliance obligations across partnerships and corporate entities tied to the firm's investment funds, carried interest, and employee-related vehicles. It also supports investor tax reporting and allocation calculations and serves as a key point of contact for investors on tax-related questions. To deliver on this, the team works with large volumes of data, uses tax technology and proprietary systems to streamline processes, and collaborates closely with fund control lers, portfolio managers, and external advisors. About the Role This role takes ownership of US tax reporting and compliance matters, working independently while partnering closely with internal stakeholders and external service providers. It combines hands-on delivery with process improvement and technology-driven initiatives. Lead US federal, investor, and personal tax reporting matters, including annual K-1 preparation for US private wealth products. Coordinate the US tax reporting process for the individual investor base across Private Capital and Real Assets. Review tax deliverables prepared by external service providers to ensure quality and accuracy. Oversee the timely calculation and distribution of investor tax reports, including quarterly tax estimates. Manage the timely payment of state tax liabilities and lead investor tax queries, with a focus on service quality. Partner with HR teams and service providers to support employees with complex personal tax situations during international assignments. Maintain oversight of tax reporting processes through regular check-ins with external providers, tracking quality, timelines, and budgets. Lead responses to tax audits and authority requests, and drive automation and process improvements across tax compliance activities. About You We're looking for an organised , analytical tax professional with strong communication skills who enjoys working in a fast-paced, collaborative environment. What you'll bring (must-have): Master's degree or equivalent professional experience in tax, accounting, or law. Proven experience in tax compliance or tax advisory work, typically around 7 years, gained at a professional services firm, in a financial controller role, or as a tax lawyer. Strong understanding of investment fund structures, such as feeders, blockers, sidecars, and co-investment vehicles, along with carry and waterfall computation models. Solid grounding in tax principles and the regulatory environment, with hands-on experience in tax compliance. Strong communication and interpersonal skills, with the ability to prioritise and manage multiple tasks independently in a dynamic setting. Proficiency in Microsoft Office and familiarity with process management tools. Fluency in English, spoken and written What we offer A unique, challenging and independent role managing a broad range of tax compliance and reporting activities. A position at the heart of a dynamic and successful private equity / venture capital firm. The opportunity to be part of an inspiring, multicultural team of professionals and to gain exposure to complex and non-traditional structures. Great learning and development opportunities, including involvement in technology-driven initiatives and process innovation. The chance to work in an internationally operating company with a diverse and inclusive culture. Excellent primary and secondary employment terms. Compensation & Benefits Notice We offer a competitive total rewards package including base salary, determined based on the role, experience, skill set, and location. Eligible employees may also receive discretionary incentive compensation, awarded in recognition of individual performance and company results. EQT provides a comprehensive benefits offering designed to support employee wellbeing, development, and work-life balance. Benefits include paid time off, parental leave, wellbeing and wellness support, flexible working arrangements, and learning and development opportunities. Benefits are effective from the first day of employment and may vary by location and role. Salary Range Disclosure The expected base salary range for this New York, United States–based position is USD 170 000 to 220 000 per year, determined in good faith based on role scope, experience, skills, and location. The role is also eligible for an annual discretionary bonus of at least 20%. Additional details regarding compensation and benefits will be provided during the hiring process. Inclusion at EQT Our vision for EQT employees is to build high performing & engaged teams. Our competitive edge comes from fostering an environment where every individual feels valued, empowered, and motivated to drive business impact. Our commitment to inclusion is not just about fairness; We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes. About EQT EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of more than three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has €‌​​354​‌ billion in total assets under management (€195​‌ billion in fee-generating assets under management) as of 30 September 2026, within four business segments – Private Capital, Infrastructure, Real Estate and Secondaries. With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. The EQT AB Group comprises EQT AB (publ) and its direct and indirect subsidiaries, which include general partners and fund managers of EQT funds as well as entities advising EQT funds. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 2,200 employees. More info: www.eqtgroup.com Follow EQT on LinkedIn , X , YouTube and Instagram

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You'll be the senior data science leader for Model Experience and a strategic thought partner to product, engineering, and research leaders. Working where frontier AI research reaches the public, you'll help shape model roadmap and launch decisions, bringing a point of view on how users experience our models and what good looks like beyond benchmark scores. As a tech lead manager, you'll also hire and manage a team of data scientists, setting their agenda, personally leading the highest-stakes analyses, and raising the bar for how data shapes model and product decisions. Responsibilities: Act as a strategic thought partner to product, engineering, and research leaders, helping shape model roadmap priorities, launch decisions, and the major bets the team makes Set the data science agenda for Model Experience, deciding where the team can have the most impact on model development and launch decisions and what it should deprioritize Hire, manage, and develop a team of data scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions about model quality and user experience, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Model Experience measures success, establishing the core metrics and measurement frameworks across external products and internal testing that align teams and leadership on what matters Set the standard for experimentation and causal inference across Model Experience, including where launches lack a clean A/B test, and personally lead the highest-stakes analyses Turn complex analyses of model and user behavior into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners Establish foundational data practices and shape the analytics infrastructure Model Experience needs to support rapid iteration and decision-making as our models and products evolve You may be a good fit if you: Have extensive experience in data science, including leading analytics for a product or research area at significant scale Have 3+ years managing data science teams, including setting team direction, hiring, and developing senior data scientists Have been a trusted partner to senior product, research, and business leaders, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others' technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company's mission of building helpful, honest, and harmless AI Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem Experience as a tech lead manager or player-coach, balancing hands-on technical work with people management Experience building or scaling a data science team in a fast-growing organization Experience working closely with Product or Research teams, especially on LLM or AI products Comfort working with unstructured data 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: $460,000 — $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

This is a dynamic, high energy role in which you will bring the Internet of Things to mid-sized customers, building Samsara's business and bringing the benefits of sensor data to customers. Typical sales will be $20k to $100k, and involve POCs, multiple stakeholders, managing trials, multi-faceted pricing negotiations, and selling to executives and CXOs.

Location: San Francisco; Remote (United States); Seattle; New York City Perplexity serves hundreds of millions of queries a month. Every answer, every Perplexity Computer task, and every enterprise deployment runs on production infrastructure owned by the Cloud Infrastructure team: a fleet of Kubernetes clusters across a multi-account AWS estate, private networks that reach hyperscalers and the neoclouds serving our models, and the storage underneath our user data and agentic workloads. We're looking for SREs who treat reliability as a software problem. You'll own compute, networking, and storage at scale and keep production stable while everything built on top of it is changing fast. RESPONSIBILITIES - Own production at scale. Run the compute, networking, and storage foundation behind Perplexity's consumer, Computer, API, and enterprise products, and own its availability, latency, and cost. - Run our Kubernetes fleet. Operate and upgrade the EKS clusters that host web services, search, datastores, and secure sandboxes. Tune scheduling, autoscaling, node lifecycle, DNS, and service networking so clusters stay healthy under bursty, fast-growing load. - Engineer the network. Design and operate VPC architectures, Transit Gateway and PrivateLink connectivity, load balancing, DNS, and egress across accounts, regions, and cloud providers. - Keep data durable and fast. Own the storage layer (EBS, S3, DynamoDB, and the managed databases and caches our services depend on), including performance, durability, backups, and restores that have actually been tested. - Manage everything as code. Run infrastructure through Terraform and CI/CD. Build reusable modules and guardrails, and make every change reviewable, repeatable, and safe to roll back. - Prepare for failures. Define SLOs, build alerts that someone can act on, design for zone and regional failure, and run game days and disaster-recovery exercises that prove recovery works. - Lead incident response. Be on the critical path when things break. Drive incidents to resolution, write blameless postmortems, and land the fixes so the same failure never pages anyone twice. - Scale ahead of demand. Own capacity planning, quotas, reservations, and cost efficiency so product launches and traffic spikes never wait on infrastructure. - Automate away the toil. Build tooling, increasingly agent-driven, that turns provisioning, upgrades, and remediation into self-serve, hands-off workflows for every engineering team. QUALIFICATIONS We expect you to have real depth in most of these: - Deep AWS expertise. You know VPC, IAM, EC2, EKS, ELB, Route 53, S3, EBS, etc. well past the console, including their limits, failure modes, and the bill that comes with them. - Production Kubernetes at scale: cluster upgrades, CNI, CoreDNS, autoscalers like Karpenter, and debugging a misbehaving node at 3 a.m. Writing Helm charts alone doesn't count. - Terraform mastery. You've designed module structures, managed state across many accounts, and run large refactors and imports without taking production down. - Strong networking fundamentals (TCP/IP, DNS, TLS, load balancing, routing). - You write real code in Python, Go, or Rust for automation, tooling, and controllers, and you'd rather automate a runbook than follow it. - Fluency with observability tools like Datadog, Prometheus, or Grafana, and the judgment to turn metrics, logs, and traces into SLOs and alerts that matter. - A track record of leading production incidents and turning root-cause analysis into durable fixes. - You own problems end-to-end and do well when the path forward isn't laid out for you. ADDITIONAL EXPERIENCE WE VALUE - Multi-region active-active or failover architectures, and disaster-recovery programs with real recovery targets. - Proxies, service meshes, and kernel-level networking: Envoy, Istio, Cilium, or eBPF. - GitOps and progressive delivery: Argo CD, Flux, or similar. - Enterprise and compliance environments: single-tenant or BYOC deployments, KMS/BYOK, SOC 2 or similar controls. - Running stateful systems in production: Postgres, Redis, or search engines like Vespa or Elasticsearch. - Multi-cloud or neocloud operations (GCP, CoreWeave, or similar). - FinOps: cost attribution, Savings Plans and reservations, and making infrastructure cheaper without making it fragile.

Location: San Francisco; Remote (United States); Seattle; New York City Perplexity serves hundreds of millions of queries a month. Every answer, every Perplexity Computer task, and every enterprise deployment runs on production infrastructure owned by the Cloud Infrastructure team: a fleet of Kubernetes clusters across a multi-account AWS estate, private networks that reach hyperscalers and the neoclouds serving our models, and the storage underneath our user data and agentic workloads. We're looking for SREs who treat reliability as a software problem. You'll own compute, networking, and storage at scale and keep production stable while everything built on top of it is changing fast. RESPONSIBILITIES - Own production at scale. Run the compute, networking, and storage foundation behind Perplexity's consumer, Computer, API, and enterprise products, and own its availability, latency, and cost. - Run our Kubernetes fleet. Operate and upgrade the EKS clusters that host web services, search, datastores, and secure sandboxes. Tune scheduling, autoscaling, node lifecycle, DNS, and service networking so clusters stay healthy under bursty, fast-growing load. - Engineer the network. Design and operate VPC architectures, Transit Gateway and PrivateLink connectivity, load balancing, DNS, and egress across accounts, regions, and cloud providers. - Keep data durable and fast. Own the storage layer (EBS, S3, DynamoDB, and the managed databases and caches our services depend on), including performance, durability, backups, and restores that have actually been tested. - Manage everything as code. Run infrastructure through Terraform and CI/CD. Build reusable modules and guardrails, and make every change reviewable, repeatable, and safe to roll back. - Prepare for failures. Define SLOs, build alerts that someone can act on, design for zone and regional failure, and run game days and disaster-recovery exercises that prove recovery works. - Lead incident response. Be on the critical path when things break. Drive incidents to resolution, write blameless postmortems, and land the fixes so the same failure never pages anyone twice. - Scale ahead of demand. Own capacity planning, quotas, reservations, and cost efficiency so product launches and traffic spikes never wait on infrastructure. - Automate away the toil. Build tooling, increasingly agent-driven, that turns provisioning, upgrades, and remediation into self-serve, hands-off workflows for every engineering team. QUALIFICATIONS We expect you to have real depth in most of these: - Deep AWS expertise. You know VPC, IAM, EC2, EKS, ELB, Route 53, S3, EBS, etc. well past the console, including their limits, failure modes, and the bill that comes with them. - Production Kubernetes at scale: cluster upgrades, CNI, CoreDNS, autoscalers like Karpenter, and debugging a misbehaving node at 3 a.m. Writing Helm charts alone doesn't count. - Terraform mastery. You've designed module structures, managed state across many accounts, and run large refactors and imports without taking production down. - Strong networking fundamentals (TCP/IP, DNS, TLS, load balancing, routing). - You write real code in Python, Go, or Rust for automation, tooling, and controllers, and you'd rather automate a runbook than follow it. - Fluency with observability tools like Datadog, Prometheus, or Grafana, and the judgment to turn metrics, logs, and traces into SLOs and alerts that matter. - A track record of leading production incidents and turning root-cause analysis into durable fixes. - You own problems end-to-end and do well when the path forward isn't laid out for you. ADDITIONAL EXPERIENCE WE VALUE - Multi-region active-active or failover architectures, and disaster-recovery programs with real recovery targets. - Proxies, service meshes, and kernel-level networking: Envoy, Istio, Cilium, or eBPF. - GitOps and progressive delivery: Argo CD, Flux, or similar. - Enterprise and compliance environments: single-tenant or BYOC deployments, KMS/BYOK, SOC 2 or similar controls. - Running stateful systems in production: Postgres, Redis, or search engines like Vespa or Elasticsearch. - Multi-cloud or neocloud operations (GCP, CoreWeave, or similar). - FinOps: cost attribution, Savings Plans and reservations, and making infrastructure cheaper without making it fragile.

Location: San Francisco; Remote (United States); Toronto; Seattle; New York City Perplexity serves hundreds of millions of queries a month, and every one of them fans out into multiple AI inference requests running in real time. Behind that sits a large GPU fleet spread across several cloud providers. Today, our inference engineers and researchers build models while also managing networking, securing capacity, and operating the underlying GPU clusters, responsibilities we want a dedicated platform team to own. Your job is to take ownership of that infrastructure and hide its complexity behind a unified, self-serve platform for running training and inference workloads. RESPONSIBILITIES - Build a self-serve compute platform. Design and own the systems that let inference engineers and researchers launch training jobs and operate inference services without managing GPU provisioning, cluster configuration, or provider-specific infrastructure. - Operate the GPU fleet. Own provisioning, lifecycle management, reliability, and capacity integration across providers, giving teams a consistent way to use compute regardless of where it runs. - Solve for GPU scarcity. Build the scheduling and placement logic that finds available capacity across providers, packs it efficiently, and gets the right workload onto the right hardware under real constraints. - Support two very different workloads. Keep long-running distributed training jobs healthy while simultaneously guaranteeing the availability and latency of production inference services on the same fleet. - Own the Kubernetes for GPU orchestration. Write the operators and CRDs, and manage many clusters across providers so the platform behaves the same everywhere we run. - Make failure boring. Build the fault tolerance, autoscaling, and observability that keep the fleet utilized and let workloads survive node loss, provider hiccups, and capacity shifts without human intervention. - Set technical direction across teams. Partner with inference and cloud infrastructure engineers to turn operational constraints into a coherent platform architecture and roadmap. QUALIFICATIONS We expect you to have real depth in most of these: - Deep Kubernetes experience — custom operators, CRDs, and multi-cluster federation, not just running kubectl apply. - You've managed GPU clusters at scale: NVIDIA hardware, CUDA, and the networking that makes them fast (InfiniBand or RoCE). - You've orchestrated compute across multiple clouds (CoreWeave, AWS, GCP, or similar) and understand how different each one really is. - Strong distributed systems fundamentals: scheduling, resource allocation, and fault tolerance under load. - You write infrastructure and systems-level code in Go, Rust or C++. - You've supported both long-running training jobs and high-availability inference services, and you know why they pull infrastructure in opposite directions. - You own problems end-to-end and do well when the path forward isn't laid out for you. ADDITIONAL EXPERIENCE WE VALUE - Inference serving stacks: vLLM, SGLang, or TensorRT-LLM. - Slurm or other HPC schedulers. - GPU kernel work in CUDA or Triton — not required, but notable. - High-speed interconnects: InfiniBand, RoCE, or RDMA in production. - Observability for ML workloads: Prometheus, Grafana, or Weights & Biases.