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Location: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an Enterprise Account Executive to serve as a founding member of our go-to-market expansion into Southeast Asia, based in Singapore. You will drive adoption of safe, frontier AI by securing strategic deals with the region's leading digital-native companies—from high-growth startups to established unicorns and super-apps—across Singapore, Indonesia, Vietnam, Thailand, Malaysia, and the Philippines. Owning the full sales cycle from first outbound to launch, you'll act as a trusted partner to customers as they embed Claude into their products and operations. As a first mover in ASEAN, you'll shape our regional strategy from the ground up, building the playbooks and market insight that will scale as our team grows. Key responsibilities Win new business and drive revenue for Anthropic across ASEAN, owning the full sales cycle from prospecting through deployment with digital-native customers Design and execute sales strategies tailored to the region's distinct markets, accounting for differences in market maturity, regulatory environment, language, and buying behaviour across Southeast Asian countries Spearhead market expansion by identifying high-potential customer segments and use cases within the region's startup and scale-up ecosystem, including fintech, e-commerce, super-apps, gaming, SaaS, and logistics Establish foundational go-to-market practices as a first mover in ASEAN, creating playbooks, templates, and frameworks that scale with the team Inform product roadmaps by gathering customer feedback and conveying market needs specific to Southeast Asian enterprises, including multilingual and localisation requirements Collaborate with cross-functional partners in product, marketing, solutions, and partnerships—including regional cloud and channel partners—to differentiate our offerings and sustain a competitive edge Serve as a market expert on ASEAN's digital-native landscape, providing strategic insight to global leadership on regional trends, competitive dynamics, and growth opportunities Minimum qualifications 12+ years of enterprise sales experience driving adoption of emerging technologies with digital-native businesses in Southeast Asia, with a consultative, solutions-oriented approach Deep understanding of the ASEAN startup and scale-up ecosystem, including familiarity with leading digital-native companies across multiple markets in the region Track record of managing complex, multi-stakeholder sales cycles and closing strategic deals by translating multifaceted technical requirements into tailored solutions Proven experience exceeding revenue targets in fast-paced organisations while managing an evolving pipeline and sales process Extensive experience negotiating complex, customised commercial agreements in Southeast Asian market contexts Excellent communication and presentation skills, with the ability to build relationships from ICs to C-level executives and cultural fluency across ASEAN business environments Entrepreneurial mindset and comfort with ambiguity as a founding team member building processes and strategy from scratch Bachelor's degree in a related field or equivalent experience Preferred qualifications Experience selling AI/ML, developer platforms, cloud, or API-based products to technical buyers Existing relationships with founders, CTOs, and product leaders at prominent Southeast Asian technology companies Experience working with hyperscaler or channel partners to co-sell into regional accounts Working proficiency in a Southeast Asian language in addition to English (e.g. Bahasa Indonesia, Vietnamese, Thai) Experience establishing a new market or region for a high-growth technology company A passion for and/or experience with advanced AI systems, and a strong interest in ensuring frontier AI is developed safely Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Boston, Massachusetts, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. We are seeking a Senior Accountant to join the team responsible for the accounting for Hasbro's global network of licensees across categories such as merchandising, publishing, digital gaming, casino, and location-based entertainment. Reporting to the Senior Manager, Royalties, you will own core royalty accounting, close, and control activities — and, just as importantly, help build a stronger, more efficient way of running them. This is a role for a strong accountant who is not content to run the process as-is. We are actively modernizing how royalty accounting works — strengthening controls, simplifying processes, and raising the bar on accuracy and efficiency — and you will be a driving force in that effort. Success in this role means seeing a manual, repetitive, or fragile process and making it better, pairing that instinct with disciplined, reliable execution. Effective from the date that Hasbro opens its new Boston location, this position will be onsite Tuesday – Thursday at Hasbro’s new HQ location in Boston, MA. In the interim, this position will be onsite Tuesday –Thursday at Hasbro’s HQ in Pawtucket, RI or at Hasbro’s temporary location in Boston, MA. What You Will Do as a Senior Accountant: Own royalty accounting, close, and reconciliations — prepare and review journal entries, account reconciliations, and month-end and quarter-end close activities, ensuring royalty revenue and associated balances are recorded completely, accurately, and on time. Strengthen controls and process — build, improve, and stand behind the controls and checks that keep royalty accounting accurate and well-documented, closing gaps and making the process more reliable quarter over quarter. Drive continuous improvement and lean process change — actively identify manual, repetitive, or fragile steps and redesign, automate, or streamline them; measure the impact and make the improvement stick. Account for licensee guarantees and overages — ensure minimum guarantees, overages, and related true-ups are tracked, calculated, and recorded accurately, and that issues are surfaced and resolved. Partner across the business — work closely with the offshore royalty operations team, Finance, Legal, and business partners to keep royalty accounting aligned to operational reality and to move issues to resolution. Support audits — prepare documentation and respond to internal and external auditor requests, and help ensure the control environment holds up to scrutiny. Read and apply contract terms — review licensing agreements and amendments to ensure royalty accounting reflects the terms of the deal, partnering with Technical Accounting on complex judgments. Complete ad hoc projects — support special analyses and process or system initiatives as the function evolves. What You Will Bring: Bachelor's degree in Accounting; Certified Public Accountant (CPA) designation preferred. Minimum 3 years of public accounting and/or public company experience; Big Four experience preferred. A genuine bias toward continuous improvement — demonstrated success identifying a manual or inefficient process and redesigning, automating, or streamlining it, with measurable results. Strong working knowledge of US GAAP and internal controls / Sarbanes-Oxley concepts. Comfort and curiosity with systems and technology, and eagerness to use tools to work more efficiently and reduce manual effort. Experience reviewing and interpreting contracts; knowledge of the licensing industry or royalty accounting is a plus. Proficiency with Microsoft Excel; experience with SAP and BlackLine preferred. Ability to succeed in a fast-paced, high-pressure environment and meet deadlines. Excellent communication skills and the ability to learn and adapt in a dynamic environment. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $85,600 — $128,400 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Munich, Germany WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. WHO WE ARE: This role sits on the EMEA Leadership Team and reports to the General Manager, EMEA. WHAT YOU'LL ACHIEVE: - Own the GTM strategy, operating rhythm, and growth plan for Germany, with accountability for overall regional revenue outcomes across Sales Assist and Self Serve contribution. - Lead as a second-line manager: hire, coach, and develop frontline leaders and IC teams across Business Development, Solutions Consulting, Outcomes Architecture, Forward Deployed Architecture/Engineering, and supporting GTM functions. - Scale a country-first GTM motion that brings Notion closer to German customers through local executive engagement, market nuance, and faster field-level decision-making. - Accelerate the land engine by opening the right front doors, growing professional workspaces, increasing net-new and upgrade opportunities, and connecting self-serve signals to sales-assisted motion. - Win lighthouse customers and turn them into market momentum by making them wildly successful, telling their story locally, and using those wins to influence peer companies across Germany. - Embed Notion’s AI-era GTM model across the team, including agent-enabled customer journeys, first-agent workflow activation, AI/agent demo proficiency, and stronger “build with the customer” motions. - Make agentic transformation central to the German GTM motion: help customers identify high-value workflows, build and deploy Notion Agents, automate cross-functional work, and measure outcomes from AI adoption. - Partner tightly with Solutions Consultants, Outcomes Architects, Forward Deployed Architects/Engineers, Professional Services, and Channel to reduce handoffs and deliver faster, more durable customer value. - Build “sell with” partner motions in Germany, including partner-sourced pipeline, co-sell plays, enablement, AI/agentic solution packages, and joint account planning. - Establish Notion as a visible force in the German ecosystem through executive dinners, field events, startup and community engagement, partner activations, and customer advocacy. - Represent the voice of German customers back to Product, PMM, Marketing, and EMEA leadership, especially around AI transformation, enterprise requirements, security, compliance, localization, and competitive dynamics. - Create a talent destination in Germany by hiring builder-oriented leaders and ICs, raising the craft bar, and developing the next generation of AI-native GTM talent. - Drive operational excellence across forecasting, pipeline quality, territory planning, inspection cadence, performance management, and cross-functional execution. WHO WE'RE LOOKING FOR: A strategic and hands-on GTM operator who has scaled enterprise SaaS or AI businesses in Germany and knows how to build a market, not just inherit one. You have led through managers, owned complex revenue outcomes, and created local market momentum through customers, partners, community, and talent. You combine second-line leadership with builder energy. You can set a crisp country strategy, install the operating system to execute it, and step into the field when needed — whether joining an executive customer conversation, sharpening a pipeline plan, coaching a manager, or helping the team translate a customer problem into an AI-powered, agentic workflow. You are excited by Notion’s shift to an AI-native, country-first GTM model and believe the best GTM teams will increasingly be builders: BDRs who identify transformation opportunities, Solutions Consultants who build with customers in the room, Outcomes Architects who turn early workflows into durable adoption, and Forward Deployed Architects/Engineers who design the technical systems behind complex agentic workflows. SKILLS YOU'LL NEED TO BRING: - 12+ years of professional experience, including 5+ years SaaS or AI sales & GTM teams in Germany. - Proven second-line leadership experience, including hiring, coaching, and developing frontline managers and high-performing IC teams. - Track record of owning and exceeding revenue targets across new business, expansion, and renewal/churn dynamics. - Deep knowledge of the German enterprise and startup ecosystem, including executive buyer networks, local partner channels, and market-specific buying dynamics. - Experience building or scaling a regional/country business in a high-growth or ambiguous environment. - Experience selling, implementing, or leading GTM teams around AI, automation, agentic workflows, collaboration, productivity, developer, or data products. - Strong strategic judgment: ability to define a country plan, segment the market, prioritize accounts and plays, and align cross-functional teams around outcomes. - Operational rigor across forecasting, pipeline generation, inspection, performance management, territory planning, and sales process. - Executive presence with CIO, CTO, CPO, COO, and business transformation buyers, with the ability to shape a compelling AI and agentic workflow narrative. - Strong understanding of modern GTM motions across Business Development, Solutions Consulting, Outcomes Architecture, Forward Deployed Architecture/Engineering, Professional Services, Channel, Marketing, RevOps, and Product. - Builder mentality and deep AI curiosity: comfortable learning, demoing, and coaching teams on agent-first workflows, proof-of-value motions, and customer co-building. - Fluency in German and English. NICE TO HAVES: - Experience launching or scaling a country-first or regional GTM operating model. - Familiarity with enterprise security, compliance, APIs, webhooks, connectors, data residency, AI governance, and technical evaluation processes. - Experience scaling partner, channel, marketplace, or consultant-led GTM motions around AI or workflow transformation. We’re an equal opportunity employer and encourage candidates to apply even if not matching every bullet. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated on target earnings (including base salary and on target incentive pay) for this role is €350,000 - 420,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic's Industries team, you'll drive the adoption of safe, frontier AI by securing strategic deals with top enterprises across the Australia markets, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise and technical acumen to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the Australia landscape. You will be contributing to the GTM strategy for our Industries team, focusing on sector-specific solutions and strategies within key verticals. The Industries team operates as a specialized set of teams with dedicated Account Executives aligned to specific high-priority verticals including Financial Services, Healthcare and Life Sciences, and Industries Generalist. As part of our broader Commercial Industries coverage, you'll focus on the diverse range of enterprise verticals beyond these core specializations - including Telecom, Media, Energy, Manufacturing, Retail, Transportation and other major industry sectors that represent significant growth opportunities for AI adoption. This is a highly consultative sales role as you will be cross-selling with our existing team of Account Executives, determining pricing strategy, and influencing the product roadmap based upon customer feedback. You will help define our solution-led selling approach, positioning us as strategic advisors, and provide a continuous feedback loop for internal teams to iterate on. You should be passionate about developing industry expertise, collaborating cross-functionally, and executing on our approach to the market. By driving expansion within key accounts and acquiring new logos in strategic verticals, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Contribute to the Industries team GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals Break into new accounts and cross-sell into existing business alongside our team of Account Executives Own a revenue target and all aspects of the sales cycle from prospecting to close, including outbounding and engaging Tier 1 accounts Lead with conviction by providing clear recommendations based on deep industry expertise rather than presenting a menu of options Prioritize organizations that can serve as lighthouse customers and references within their industries Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations Collaborate extensively with cross-functional partners including product, engineering, legal, marketing, and Applied AI to help bring new solutions to market and provide feedback to shape roadmaps Develop sales collateral, proposals, and presentations to effectively position Anthropic's AI products. Continuously refine sales tactics and share best practices You may be a good fit if you have: 12+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach in the ANZ market. Experience selling into BFSI, Media, Energy, Manufacturing, Retail, Telco, Transportation verticals A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are seeking a skilled and motivated Staff Field Application Engineer to lead the deployment and integration of our humanoid robot solutions at customer facilities in North America. The role involves onsite visits to customer facilities, data collection, lab-based simulations, leading the planning and execution demos, managing deployment projects, acceptance testing and leading solution integration. This position requires commitment to maintaining the highest standards, operational leadership, technical expertise, problem-solving skills, and a customer-centric approach.   WHAT YOU'LL DO - Lead the deployment and implementation of humanoid robot solutions at customer locations. - Plan, organize, and supervise on-site Proof of Concept (PoC) and Pilot projects, both short and long-term. - Integrate technical development activities into the overall deployment project, working closely with technical leaders to manage delivery risks. - Supervise visits to customer facilities to gather data, assess requirements, and ensure successful integration of robotic systems. - Supervise the construction and use of test environments in our lab for reliability and performance testing. Define lab test and site acceptance testing strategies. - Lead and supervise product demonstrations in the lab for customers, investors, and internal stakeholders. - Represent the company at expos and industry events, delivering live product demos. - Manage and coordinate the testing of different product releases, ensuring timely delivery to customer sites. - Oversee solution integration in customer facilities, ensuring seamless operation. - Prioritize product data and customer feedback; coordinate implementation of improvements to product performance and deployment efficiency. - Prioritize, plan and supervise minor maintenance tasks on robotic systems, including troubleshooting with remote engineering support. - Collaborate with engineering, product development, and customer support teams to lead optimizations to deployment strategies. - Support key go to market activities working closely alongside our Business Development teams, including customer use case analysis and solution development.   WHAT WE'RE LOOKING FOR - Bachelor's degree in Engineering (Mechanical, Electrical, Robotics, Mechatronics, or a related field) or equivalent technical qualification. - Experience with leading projects in robotic solutions, automation systems, or related technologies. - Hands-on skills in mechanical and electrical troubleshooting, assembly, and maintenance. - Experience managing concept/pilot projects and deployment processes. - Strong problem-solving skills with the ability to diagnose and resolve technical issues efficiently. - Excellent organizational and communication skills to coordinate with internal teams and customers. - Ability to work independently and adapt to dynamic environments. - Ability to build effective working relationships with customers, including senior stakeholders and operations staff - Ability to lead and coach others - Willingness to travel for short-to long-term assignments at customer and partner facilities across North America with occasional travel to Humanoid HQ and other locations in Europe. Approximately 40% travel. PREFERRED QUALIFICATIONS - Prior experience in warehouse/logistics automation, industrial robotics or humanoid robotics deployment. - Familiarity with software integration and sensor-based automation. - Experience with CAD modeling, 3D scanning, or digital twin technology. - Experience with commissioning or acceptance testing - Experience with automation business case development. - Experience working in complex operational environments - Ability to deliver engaging presentations and live demonstrations to diverse audiences. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $130K–$160K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are seeking a skilled and motivated Field Application Engineer to support the deployment and integration of our humanoid robot solutions at customer facilities in North America. The role involves on-site visits to customer facilities, data collection, lab-based simulations, executing high-quality demos, conducting in-lab and in-field testing and supporting on-site solution integration. This position requires technical expertise, attention to detail, problem-solving skills, and a customer-centric approach. WHAT YOU'LL DO - Support the deployment and implementation of humanoid robot solutions at customer locations. - Conduct visits to customer facilities to gather data, assess requirements to ensure successful integration of robotic solutions. - Build physical twins, test rigs and test environments in our lab for reliability, performance and acceptance testing. - Organize and conduct product demonstrations in the lab for customers, investors, and internal stakeholders. - Represent the company at expos and industry events, delivering live product demos. - Test different product releases, ensuring timely delivery to customer sites. - Support solution integration in customer facilities, ensuring seamless operation. - Plan, organize, and supervise on-site Proof of Concept (PoC) and pilot projects, both short and long-term. - Collect and analyse product data and customer feedback; to improve product performance and deployment efficiency. - Perform minor maintenance tasks on robotic systems, including troubleshooting with remote engineering support. - Collaborate with engineering, product development, and customer support teams to optimize deployment strategies. WHAT WE'RE LOOKING FOR - Bachelor's degree in Engineering (Mechanical, Electrical, Robotics, Mechatronics, or a related field) or equivalent technical qualification. - Experience with robotic solutions, automation systems, or related technologies. - Hands-on skills in mechanical and electrical troubleshooting, assembly, and maintenance. - Experience managing robotics or automation concept/pilot projects and deployment processes. - Strong problem-solving skills with the ability to diagnose and resolve technical issues efficiently, under pressure. - Excellent organizational and communication skills to coordinate with internal teams and customers. - Ability to work independently and adapt to dynamic environments. - Ability to build effective working relationships with customers, including senior stakeholders and operations staff. - Willingness to travel for short-to long-term assignments at customer and partner facilities across North America with occasional travel to Humanoid HQ and other locations in Europe. Approximately 40% travel. PREFERRED QUALIFICATIONS - Prior experience in warehouse/logistics automation, industrial robotics or humanoid robotics deployment. - Familiarity with software integration and sensor-based automation. - Experience with CAD modeling, 3D scanning, or digital twin technology. - Experience with commissioning or acceptance testing - Experience with automation business case development. - Experience working in complex operational environments - Ability to deliver engaging presentations and live demonstrations to diverse audiences. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $100K–$130K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: United States Workplace: Remote ClickHouse is looking for an experienced engineer to join our Observability organization. We are hiring across two closely aligned teams: Observability Platform and Internal Observability. Together, these teams build and operate the systems behind ClickHouse’s internal observability and ClickStack Cloud. Our platforms process trillions of events per day, sustaining throughput in the hundreds of millions of events per second. The experience we gain operating observability at ClickHouse scale feeds directly back into the platform and product we provide to customers. The Observability Platform team builds shared systems for telemetry ingestion, durable buffering, processing, storage, autoscaling, and service provisioning. The Internal Observability team operates ClickHouse’s company-wide observability platform and works with engineering teams to improve reliability, debugging, and operational efficiency. This is a software engineering role at the intersection of distributed systems, cloud infrastructure, and production operations. You will build systems, operate what you build, respond to incidents, and turn recurring operational problems into durable software and automation. Your background may be in backend engineering, infrastructure, SRE, or systems engineering. What matters most is your ability to solve ambiguous production problems, make sound engineering tradeoffs, and take ownership from design through operation. WHAT YOU’LL DO - Design, build, and operate distributed systems that ingest, process, and store telemetry at very high scale. - Own the reliability, performance, capacity, and cost-efficiency of telemetry pipelines and storage systems. - Participate in the on-call rotation, help resolve production incidents, and drive root-cause fixes through to completion. - Build software and automation that eliminate repetitive operational work and make the platform easier to operate. - Identify architectural bottlenecks and help shape the roadmap for the next stage of scale. - Work closely with product, infrastructure, and service teams across ClickHouse. - Contribute to architecture and design reviews and help raise engineering quality across the team. HOW YOU WORK - You take ownership and proactively improve the systems around you. - You are comfortable debugging unfamiliar distributed systems in production. - You make pragmatic tradeoffs between reliability, performance, delivery speed, and cost. - You communicate clearly in a remote, async-friendly environment. - You prefer incremental delivery: ship a focused solution, validate it in production, and improve it based on evidence. - You address the underlying cause of operational problems rather than repeatedly treating the symptoms. TECHNICAL EXPERIENCE - 5+ years of experience building and operating production systems at scale. - Strong proficiency in Go. - Experience building and operating services on Kubernetes. - Experience with infrastructure-as-code and GitOps tooling such as Terraform, Helm, and Argo CD. - Production experience with at least one major cloud provider: AWS, GCP, or Azure. - Hands-on experience with telemetry systems such as OpenTelemetry, Prometheus, Grafana, or comparable technologies. BONUS POINTS - Experience with ClickHouse. - Experience with high-throughput ingestion, streaming, queueing, or storage systems. - Experience building multi-tenant cloud services. - Experience optimizing infrastructure for both performance and cost. - Experience with TypeScript. #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United States Workplace: Remote ClickHouse is looking for an experienced engineer to join our Observability organization. We are hiring across two closely aligned teams: Observability Platform and Internal Observability. Together, these teams build and operate the systems behind ClickHouse’s internal observability and ClickStack Cloud. Our platforms process trillions of events per day, sustaining throughput in the hundreds of millions of events per second. The experience we gain operating observability at ClickHouse scale feeds directly back into the platform and product we provide to customers. The Observability Platform team builds shared systems for telemetry ingestion, durable buffering, processing, storage, autoscaling, and service provisioning. The Internal Observability team operates ClickHouse’s company-wide observability platform and works with engineering teams to improve reliability, debugging, and operational efficiency. This is a software engineering role at the intersection of distributed systems, cloud infrastructure, and production operations. You will build systems, operate what you build, respond to incidents, and turn recurring operational problems into durable software and automation. Your background may be in backend engineering, infrastructure, SRE, or systems engineering. What matters most is your ability to solve ambiguous production problems, make sound engineering tradeoffs, and take ownership from design through operation. WHAT YOU’LL DO - Design, build, and operate distributed systems that ingest, process, and store telemetry at very high scale. - Own the reliability, performance, capacity, and cost-efficiency of telemetry pipelines and storage systems. - Participate in the on-call rotation, help resolve production incidents, and drive root-cause fixes through to completion. - Build software and automation that eliminate repetitive operational work and make the platform easier to operate. - Identify architectural bottlenecks and help shape the roadmap for the next stage of scale. - Work closely with product, infrastructure, and service teams across ClickHouse. - Contribute to architecture and design reviews and help raise engineering quality across the team. HOW YOU WORK - You take ownership and proactively improve the systems around you. - You are comfortable debugging unfamiliar distributed systems in production. - You make pragmatic tradeoffs between reliability, performance, delivery speed, and cost. - You communicate clearly in a remote, async-friendly environment. - You prefer incremental delivery: ship a focused solution, validate it in production, and improve it based on evidence. - You address the underlying cause of operational problems rather than repeatedly treating the symptoms. TECHNICAL EXPERIENCE - 5+ years of experience building and operating production systems at scale. - Strong proficiency in Go. - Experience building and operating services on Kubernetes. - Experience with infrastructure-as-code and GitOps tooling such as Terraform, Helm, and Argo CD. - Production experience with at least one major cloud provider: AWS, GCP, or Azure. - Hands-on experience with telemetry systems such as OpenTelemetry, Prometheus, Grafana, or comparable technologies. BONUS POINTS - Experience with ClickHouse. - Experience with high-throughput ingestion, streaming, queueing, or storage systems. - Experience building multi-tenant cloud services. - Experience optimizing infrastructure for both performance and cost. - Experience with TypeScript. #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: European Union; Ukraine Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a Data Analytics Engineer to build, optimize, and maintain the analytical data layer that powers decision-making across the organization. You will transform business requirements into reliable, well-modeled datasets using dbt, SQL, and cloud data warehouses (BigQuery, ClickHouse). This role combines data modeling, documentation, data quality design, and close collaboration with analysts, engineers, and product teams to ensure consistent, trustworthy reporting. You will serve as the bridge between raw data ingestion and analytics — shaping how data is structured, validated, and delivered. Responsibilities - Design, build, and maintain dbt models (staging, core, marts) based on business needs - Develop scalable SQL transformations and ensure efficient, cost-effective query performance - Implement data quality tests (dbt tests, custom checks, anomaly detection) and maintain high data reliability. - Create and maintain documentation for datasets, data lineage, business logic, and transformation rules - Collaborate with Data Engineers on improving raw data structures, ingestion patterns, and source readiness - Partner with Data Analysts, Product Managers, and Marketing teams to translate business requirements into clean, reusable data models - Monitor data pipelines and marts, resolve issues, and prevent inconsistencies in reporting - Support governance initiatives: naming conventions, taxonomy, schemas, metric definitions, and standardization - Contribute to continuous improvement of our data modeling frameworks, performance tuning, and technical decision-making Requirements - Strong SQL experience with a deep understanding of analytical modeling concepts - Hands-on experience with dbt (models, tests, docs, macros) - Experience working with cloud data warehouses such as BigQuery or ClickHouse - Understanding of data modeling patterns - Familiarity with data engineering concepts (ELT/ETL, orchestration, version control, CI/CD) - Experience with data quality frameworks or implementing validation logic - Ability to translate complex business processes into clean analytical datasets. - Strong documentation skills and attention to detail - Experience collaborating with cross-functional teams and supporting analysts with reliable data - Knowledge of Python is a plus (but not required) Nice To Haves - Experience with orchestration tools (Airflow, Dagster) - Experience working with marketing, product, or billing datasets - Exposure to metric layers, semantic layer design, or BI governance - Basic understanding of observability tooling (Grafana, Prometheus, ... ) - Experience optimizing BigQuery costs or ClickHouse performance LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (90 minutes) - Final Interview (60 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Manager of Commercial Applied AI Architects at Anthropic, you will drive adoption of frontier AI across our mid-market and SMB customers by leading a team of technical architects who help companies build and deploy with the Claude API, Claude Code, the Agent SDK, and Claude for Enterprise. Commercial is one of Anthropic's largest and fastest-moving books of business: thousands of companies, a rapidly growing sales team, and a small group of architects whose job is to change deal outcomes where technical depth matters most. Your team's leverage does not come from being everywhere. It comes from choosing the right accounts to go deep on, then turning what they learn there into blueprints, demos, tooling, and enablement that reach the rest of the book. You will bring your own builder credibility and technical judgment to the role. Our architects ship working code: prototypes, eval frameworks, near-production examples that customers extend, and internal tooling that scales the team itself. You do not need to be the strongest engineer in the room, but you should expect to be in the work with your team, not just reviewing it from above. When an architect is deep in a hard engagement, you will often be right there alongside them, unblocking, pairing, and pressure-testing, while the account itself stays theirs. This is a first-line leadership role reporting to the Head of Applied AI, Commercial. You will start by managing a team of architects and are expected to help grow it well beyond its current size, partnering with Commercial sales leadership on coverage, qualification, and where technical investment pays off. You will co-own the strategy for how Applied AI shows up in the Commercial segment, and you will be judged on your team's outcomes and growth, not your own. Responsibilities: Manage, coach, and grow a team of Commercial Applied AI Architects, setting a high bar for technical credibility, customer impact, and speed Own hiring for your team as it scales, defining the profile, running the loop, and building onboarding that gets new architects into customer conversations quickly Set goals and run reviews for your team, and develop each architect's career with clear, direct feedback Decide where your team's depth goes. Own the qualification and prioritization framework for Applied AI engagement across a very large book, and be comfortable saying no Work alongside your architects on their most consequential engagements, from technical discovery through deployment and expansion, and model what great looks like without taking the work off their plate Build and own the segment's technical playbooks for Claude API integrations, Claude Code rollouts, agentic architectures on the Agent SDK, and Claude for Enterprise deployments, and turn account-level wins into reusable assets that scale one-to-many Partner closely with Commercial sales leadership and Account Executives to co-build segment strategy, tighten the AE-to-architect operating model, and drive adoption across mid-market and SMB Ensure your team consistently surfaces how mid-market companies are building with Claude, and translate that signal into actionable feedback for Product and Engineering Represent Anthropic technically at customer sites, workshops, roadshows, and events, and contribute to thought leadership through content and speaking Stay ahead of the AI engineering landscape, including agentic architectures, eval design, context engineering, and developer tooling, and keep your team operating at the frontier You may be a good fit if you: Have 7+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 3+ years managing pre-sales or technical go-to-market teams Know how to hire well, coach effectively, give hard feedback kindly, and create an environment where builders do their best work Have led technical teams in a high-velocity, high-volume sales motion, where the constraint is your team's capacity rather than pipeline, and have a real point of view on how to allocate scarce technical talent across a large book Bring builder credibility. You have built and deployed LLM-powered applications, you understand what separates a prototype from a production system, and you can hold your own with a customer's engineering leadership Have hands-on familiarity with agentic architectures, LLM evaluation, and modern AI developer tooling, and can coach architects through the design decisions their customers face Have a systems mindset. When you see a problem, your instinct is to build one thing that serves ten customers rather than ten things that serve one Are comfortable in ambiguous, early-stage environments where the playbook does not exist yet, and have a track record of building structure as you go Have strong executive presence and can build trust with technical and business leaders alike Have a genuine passion for making powerful technology safe and societally beneficial Strong candidate may have: Scaled a technical pre-sales or forward-deployed team from a handful of people to a mature function, including defining the hiring bar, onboarding programs, and coaching systems from scratch Sold to and built for mid-market companies, with a clear understanding of how technical buying decisions differ between a 500-person company and a Fortune 500 Rolled out AI coding assistants or developer tools inside engineering organizations, and know how those teams evaluate, adopt, and measure them A visible technical presence through conference talks, written content, or open-source contributions 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: $315,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - Bengaluru, India MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. We are seeking a highly technical, visionary, and customer-centric Field CTO to act as our premier technical ambassador. In this role, you will bridge the gap between MinIO’s engineering innovation and the strategic business needs of our largest, most complex enterprise customers. As a Field CTO, you will engage in peer-to-peer conversations with enterprise C-suites (CIOs, CTOs, CDOs) and lead architectural discussions with principal engineers. A deep, hands-on understanding of modern AI architectures (LLMs, RAG, deep learning pipelines) and modern analytics data systems (Iceberg, Delta Lake, Trino, Spark) is mandatory. You will not only evangelize MinIO’s capabilities but also act as a trusted advisor, helping organizations architect their data infrastructure to support next-generation workloads. What You Will Do Executive Advisory & Evangelism: Act as a trusted technical advisor to C-level executives at Fortune 500 companies. Articulate the strategic value of high-performance object storage in the context of AI readiness and data democratization. Architectural Leadership: Design and validate complex, large-scale architectures for enterprise customers. Guide them in integrating MinIO seamlessly into their AI/ML pipelines and modern data lakehouse ecosystems. Industry Thought Leadership: Represent MinIO at major industry conferences, webinars, and meetups. Write technical whitepapers, reference architectures, and blog posts focusing on the intersection of object storage, generative AI, and modern analytics. Pre-Sales & Post-Sales Strategic Support: Partner closely with enterprise sales and customer success teams on high-stakes deals. Unblock technical objections and provide strategic guidance during Proof of Concepts (PoCs) and large-scale deployments. Product Strategy Feedback Loop: Serve as the "voice of the customer" to MinIO’s product and engineering teams. Distill market trends, customer pain points, and emerging AI/Analytics patterns into actionable product requirements. Required Qualifications 10+ years of experience in technical leadership roles (e.g., Enterprise Architect, Chief Architect, VP of Engineering, or previous Field CTO). Demonstrated experience in a customer-facing or evangelist capacity, successfully presenting to both highly technical audiences and C-level business executives. AI & Machine Learning Architectures: Deep architectural understanding of Generative AI and Large Language Models (LLMs) , including Retrieval-Augmented Generation (RAG) workflows and vector databases (e.g., Milvus, Qdrant, Pinecone). Strong knowledge of AI/ML data pipelines and frameworks (PyTorch, TensorFlow, Ray, Hugging Face). Understanding of hardware bottlenecks in AI, specifically the challenge of feeding data to GPUs (GPU data starvation) and how high-throughput storage solves this. Modern Analytics & Data Systems: Expertise in Open Table Formats (Apache Iceberg, Apache Hudi, Delta Lake) and their integration with object storage. Proficiency with modern query engines and compute frameworks (Trino, Presto, Apache Spark, Flink, StarRocks). Solid grasp of the evolution from traditional data warehouses to modern Data Lakehouse architectures. Infrastructure & Cloud-Native Tech: Strong command of Kubernetes, containerization, and cloud-native orchestration. Deep understanding of the AWS S3 API, RESTful APIs, and distributed systems design. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Assigned Support Engineer, you’ll be a trusted technical advisor to GitLab’s largest Self-managed, GitLab Dedicated, and GitLab.com customers, helping them avoid operational disruption and get the most from GitLab. You’ll combine deep Linux systems expertise, GitLab and CI/CD knowledge, and a proactive support mindset to understand each customer’s environment, anticipate and prevent issues, and solve complex technical and business challenges. In a typical week, you might be prioritizing strategic blockers with customer stakeholders, partnering with Product, Development, Infrastructure, Customer Success, and Sales to drive defect resolution and influence the roadmap, or diving into code, logs, and tools like strace to troubleshoot performance issues. Your impact in the first year will be measured by customer trust, reduced critical incidents, and clear, reusable support content that empowers customers and GitLab teams alike. What you’ll do Provide technical support to our largest Self-managed, GitLab Dedicated, and GitLab.com customers, ensuring their GitLab environments remain stable and performant. Troubleshoot and resolve complex, critical, and sensitive support issues using tools like Zendesk, logs, and Linux utilities such as strace, through email and video conferencing. Build strong, proactive relationships with key customer stakeholders, helping them prioritize and address their most important technical blockers. Collaborate with Product , Development , Infrastructure , Customer Success , and Sales teams to drive bug fixes, influence feature development, and help shape product goals and roadmap. Act as a technical expert on GitLab and CI/CD implementations, advising customers on how incidents and service interruptions impact their workflows and how to mitigate them. Create and improve support content, including documentation and knowledge articles, to help customers and GitLab team members resolve issues more efficiently. Partner closely with Support Engineering team members through pairing sessions and stable counterpart relationships to share knowledge and solve problems together. Contribute to team growth by participating in hiring processes, including reviewing applications and assessments and joining interviews. What you’ll bring Background managing complex, customer facing support cases end to end, from initial inquiry and triage through reproduction, escalation, and resolution. Advanced troubleshooting skills with the ability to investigate ambiguous, multi-layered technical issues and identify root causes across applications, infrastructure, and integrations. Strong Linux systems administration knowledge (LFCE or RHCE equivalent), including performance analysis and low-level debugging tools. Practical experience with GitLab and continuous integration / continuous delivery (CI/CD), including how different deployment models and outages affect customers. Ability to write and maintain clear, reusable support content such as knowledge articles, runbooks, and troubleshooting guides. Proficiency with scripting languages (such as Ruby or Bash) and familiarity with model-view-controller (MVC) frameworks, preferably Ruby on Rails. Effective communication skills for explaining complex technical topics to audiences with varying technical backgrounds and for building rapport with customer stakeholders. Familiarity with DevOps practices and technologies such as Kubernetes and serverless platforms, with openness to applying transferable skills from related domains. About the team The Support team is a fully distributed, global group across the AMER, EMEA, and APAC regions, focused on helping customers get the most from GitLab by troubleshooting complex issues and digging into code and logs to understand why something is not working as expected. As an Assigned Support Engineer, you’ll be part of our broader Support Engineering organization, working closely with other Support Engineers through regular pairing sessions, 1:1s, coffee chats, and Slack conversations to stay connected while collaborating asynchronously across time zones. We balance autonomy with accountability, giving you flexibility to structure your shift in a way that fits your life while ensuring we can reliably address customer issues. Thanks to GitLab’s Transparency value, you can see what we are working on in our Support Team page. Additionally, you can see our company roadmap and meetings to see what we are working on at any time. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: 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? Fin is looking for an exceptional Solutions Architect to join our vibrant Customer Solutions Team. In this role, you’ll engage directly with our customers as their trusted advisor, playing a pivotal part in defining and demonstrating value across the entire sales cycle. With a natural curiosity, independent thinking, and strong problem-solving skills, you’ll partner closely with Product, R&D, and Engineering to ensure our customers’ needs and insights are at the core of our AI powered solutions. What will I be doing? Lead technical discovery to identify and address our customers’ needs Deliver an exceptional pre-sales experience by articulating Fin's value and technical expertise Conduct impactful, value-based solution reviews and in-depth technical sessions Design and lead tailored Proof of Concepts (POCs) that showcase Fin's capabilities Serve as the primary resource for RFPs and customer security questions, utilizing standardized materials and escalating complex issues Collaborate cross-functionally with Product and Engineering to represent the customer voice, gathering feedback and insights for product planning Build trust with customers by approaching challenges with empathy and curiosity Continuously improve processes and contribute to building a best-in-class Solutions Engineering playbook at Fin Commit to customer success, ensuring lasting value and proactively addressing challenges What skills do I need? Minimum of 3 years of experience in a technical sales role, managing C-Level technical and business relationships Strong technical acumen with experience in conducting technical discovery and delivering high-impact value presentations. Ability to solve problems independently while thriving in collaborative team environments Proven time management skills in a dynamic team environment Demonstrated ability to quickly identify and communicate the value proposition throughout the sales cycle. Leverage your skills in translating complex business challenges into tailored Fin solutions, effectively communicating with both technical and non-technical audiences to drive understanding and impact. Experience working closely with product and engineering teams to communicate customer feedback and influence product direction. Familiarity with managing POCs, RFPs, and addressing complex security questions. Excellent communication and interpersonal skills, with a passion for leading with empathy and curiosity Ability to challenge the status quo and continuously improve Solutions Engineering processes and playbooks Bring an open mind, be a collaborative colleague with a commitment to go above and beyond to drive the success of your team and the company Willing and able to travel occasionally *Proof of eligibility to work in the United States is required. The OTE salary range for candidates within the San Francisco Bay Area or New York City is $190,800-$227,900 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: Chicago, Illinois 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? Fin is looking for an exceptional Solutions Architect to join our vibrant Customer Solutions Team. In this role, you’ll engage directly with our customers as their trusted advisor, playing a pivotal part in defining and demonstrating value across the entire sales cycle. With a natural curiosity, independent thinking, and strong problem-solving skills, you’ll partner closely with Product, R&D, and Engineering to ensure our customers’ needs and insights are at the core of our AI powered solutions. What will I be doing? Lead technical discovery to identify and address our customers’ needs Deliver an exceptional pre-sales experience by articulating Fin's value and technical expertise Conduct impactful, value-based solution reviews and in-depth technical sessions Design and lead tailored Proof of Concepts (POCs) that showcase Fin's capabilities Serve as the primary resource for RFPs and customer security questions, utilizing standardized materials and escalating complex issues Collaborate cross-functionally with Product and Engineering to represent the customer voice, gathering feedback and insights for product planning Build trust with customers by approaching challenges with empathy and curiosity Continuously improve processes and contribute to building a best-in-class Solutions Engineering playbook at Fin Commit to customer success, ensuring lasting value and proactively addressing challenges What skills do I need? Spanish Fluency is required Minimum of 3 years of experience in a technical sales role, managing C-Level technical and business relationships Strong technical acumen with experience in conducting technical discovery and delivering high-impact value presentations. Ability to solve problems independently while thriving in collaborative team environments Proven time management skills in a dynamic team environment Demonstrated ability to quickly identify and communicate the value proposition throughout the sales cycle. Leverage your skills in translating complex business challenges into tailored Fin solutions, effectively communicating with both technical and non-technical audiences to drive understanding and impact. Experience working closely with product and engineering teams to communicate customer feedback and influence product direction. Familiarity with managing POCs, RFPs, and addressing complex security questions. Excellent communication and interpersonal skills, with a passion for leading with empathy and curiosity Ability to challenge the status quo and continuously improve Solutions Engineering processes and playbooks Bring an open mind, be a collaborative colleague with a commitment to go above and beyond to drive the success of your team and the company Willing and able to travel occasionally *Proof of eligibility to work in the United States is required. The OTE salary range for candidates within the Greater Chicago Area is $171,720-$205,110 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: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Assigned Support Engineer, you’ll be a trusted technical advisor to GitLab’s largest Self-managed, GitLab Dedicated, and GitLab.com customers, helping them avoid operational disruption and get the most from GitLab. You’ll combine deep Linux systems expertise, GitLab and CI/CD knowledge, and a proactive support mindset to understand each customer’s environment, anticipate and prevent issues, and solve complex technical and business challenges. In a typical week, you might be prioritizing strategic blockers with customer stakeholders, partnering with Product, Development, Infrastructure, Customer Success, and Sales to drive defect resolution and influence the roadmap, or diving into code, logs, and tools like strace to troubleshoot performance issues. Your impact in the first year will be measured by customer trust, reduced critical incidents, and clear, reusable support content that empowers customers and GitLab teams alike. What you’ll do Provide technical support to our largest Self-managed, GitLab Dedicated, and GitLab.com customers, ensuring their GitLab environments remain stable and performant. Troubleshoot and resolve complex, critical, and sensitive support issues using tools like Zendesk, logs, and Linux utilities such as strace, through email and video conferencing. Build strong, proactive relationships with key customer stakeholders, helping them prioritize and address their most important technical blockers. Collaborate with Product , Development , Infrastructure , Customer Success , and Sales teams to drive bug fixes, influence feature development, and help shape product goals and roadmap. Act as a technical expert on GitLab and CI/CD implementations, advising customers on how incidents and service interruptions impact their workflows and how to mitigate them. Create and improve support content, including documentation and knowledge articles, to help customers and GitLab team members resolve issues more efficiently. Partner closely with Support Engineering team members through pairing sessions and stable counterpart relationships to share knowledge and solve problems together. Contribute to team growth by participating in hiring processes, including reviewing applications and assessments and joining interviews. What you’ll bring Background managing complex, customer facing support cases end to end, from initial inquiry and triage through reproduction, escalation, and resolution. Advanced troubleshooting skills with the ability to investigate ambiguous, multi-layered technical issues and identify root causes across applications, infrastructure, and integrations. Strong Linux systems administration knowledge (LFCE or RHCE equivalent), including performance analysis and low-level debugging tools. Practical experience with GitLab and continuous integration / continuous delivery (CI/CD), including how different deployment models and outages affect customers. Ability to write and maintain clear, reusable support content such as knowledge articles, runbooks, and troubleshooting guides. Proficiency with scripting languages (such as Ruby or Bash) and familiarity with model-view-controller (MVC) frameworks, preferably Ruby on Rails. Effective communication skills for explaining complex technical topics to audiences with varying technical backgrounds and for building rapport with customer stakeholders. Familiarity with DevOps practices and technologies such as Kubernetes and serverless platforms, with openness to applying transferable skills from related domains. About the team The Support team is a fully distributed, global group across the AMER, EMEA, and APAC regions, focused on helping customers get the most from GitLab by troubleshooting complex issues and digging into code and logs to understand why something is not working as expected. As an Assigned Support Engineer, you’ll be part of our broader Support Engineering organization, working closely with other Support Engineers through regular pairing sessions, 1:1s, coffee chats, and Slack conversations to stay connected while collaborating asynchronously across time zones. We balance autonomy with accountability, giving you flexibility to structure your shift in a way that fits your life while ensuring we can reliably address customer issues. Thanks to GitLab’s Transparency value, you can see what we are working on in our Support Team page. Additionally, you can see our company roadmap and meetings to see what we are working on at any time. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $126,400 — $213,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic trains and serves Claude across multiple cloud providers and accelerator platforms. The Platform Portability team owns the abstractions, tooling, and deployment infrastructure that make this possible without every engineering and research team needing to become experts in different clouds. As an engineer on Platform Portability, you'll design and build the systems that let us bring up new capacity, ship our platform to cloud provider platforms & marketplaces, and move workloads between providers with confidence. You'll work closely with our cloud partners on capabilities we need that don't exist yet, and with internal Compute, Inference, and Security teams to make "which cloud is this running on?" a question most engineers at Anthropic never have to ask. Your work directly determines how quickly and reliably we can put safe, frontier AI in front of users — wherever they are. What you'll do Our work splits into two workstreams, and we need your help across both. Portable infrastructure. We build the provider-agnostic abstractions for storage, messaging, and connectivity that let Anthropic's systems run on any cloud, and they have to hold up at the scale of frontier model inference. You'll design and build those abstractions, plus the tooling that lets internal teams provision, configure, and operate services across clouds through one consistent interface. You'll also hunt down the provider-specific assumptions hiding in our codebase and set the patterns that keep new ones from creeping in. Claude on partner clouds. We ship Claude onto third-party cloud platforms, and every launch has to be repeatable. You'll own that delivery end to end, including the build, release, and validation pipelines behind it. You'll work directly with engineering teams at our cloud partners and internal infrastructure stakeholders to land the features we need, debug platform issues, and influence their roadmaps. Expect to go deep on native integrations with each provider, and to do the cross-cutting work that keeps our platform consistent across all of them. Across both, you'll shape how the rest of Anthropic builds for multiple clouds. You'll review designs with cloud-portability implications, mentor engineers across the org on multi-cloud patterns, and bring internal stakeholders into alignment through clear writing and conversation. You'll also take your turn in the on-call rotation, and you'll design the postmortems, runbooks, and incident response that help us never fail the same way twice. You might be a good fit if you: Have a minimum of 8 years of practical experience building and operating production distributed systems Own large-scale infrastructure systems and lead ambiguous, cross-team technical projects from design through production Run the same production workload across multiple cloud providers, including the migration or abstraction work that made it possible Understand how cloud IAM models and networking primitives (VPC peering, private connectivity, service mesh) differ across providers Write production code in at least one general-purpose programming language (e.g., Python, Go, or Rust) Work confidently with Kubernetes and Infrastructure as Code (e.g., Terraform, Pulumi) Understand ML infrastructure and supporting interconnects Ship software through hyperscaler marketplaces or managed-model platforms Bring a background in security, compliance, or data residency for regulated or sovereign cloud environments Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Ciudad de México, Mexico Workplace: hybrid Location: Mexico City (Hybrid for Mexico location and remotely for others locations) | Department: Strategy D&A Office Company: NOVACARD Be part of NOVACARD’s transformation into a truly data-driven fintech. We’re looking for a Strategy & Data Governance Analyst — a key contributor bridging business strategy, financial analytics, and enterprise data management. Your mission is to build a data-empowered decision culture: translate data into strategic insights, ensure data quality and governance, and support data-driven business planning. 📝 What You’ll Do – Responsibilities: 📈 Drive Strategic Analytics ·       Analyze company performance across key fintech metrics: acquisition, activation, retention, monetization, and churn. ·       Build and maintain unit-economics models to evaluate channel profitability, LTV/CAC dynamics, and payback periods. ·       Identify growth drivers, operational inefficiencies, and levers for strategic improvement. ·       Provide analytical support for strategic planning, quarterly targets, and investment prioritization. 🧠 Lead Data-Driven Transformation ·       Design and implement a framework for data-driven decision-making across departments. ·       Establish standardized KPI definitions, reporting hierarchies, and accountability chains. ·       Support leadership in translating business goals into measurable data objectives. 🧩 Build Data Governance Framework ·       Coordinate creation and maintenance of core governance artifacts: ·       Metadata descriptions ·       Enterprise Data Catalog ·       Data Lineage (technical and business flow mapping) ·       Business Glossary (data stewards and owners register) ·       Data Quality Rules & Profiling metrics ·       Data Observability & Monitoring dashboards ·       Collaborate with IT, Data Engineering, and Product teams to ensure reliable and transparent data flows. 🔍 Maintain Data Quality & Trust ·       Define and monitor data quality KPIs: completeness, consistency, timeliness, and accuracy. ·       Investigate data anomalies and drive root-cause analysis with responsible teams. ·       Build automated data quality and observability processes within DWH and reporting layers. 🧪 Run Strategic Experiments ·       Design and analyze A/B and multivariate tests supporting product and business hypotheses. ·       Measure incremental impact of product, pricing, and communication changes on key business metrics. ·       Apply statistical rigor to evaluate significance and scalability of experimental results. 📊 Deliver Executive Insights ·       Develop dashboards and reports that translate complex data into actionable recommendations for management. ·       Support financial planning, forecasting, and scenario analysis with data-driven models. ·       Ensure consistent alignment between operational KPIs and strategic company goals. 🤝 Cross-Functional Collaboration ·       Act as an interface between Strategy, Product, Data, and Finance teams. ·       Promote data stewardship culture and educate teams on proper data usage and governance principles. ·       Facilitate adoption of data-governance tools and processes across the organization. 📝 Regular Tasks: ·       Maintain financial and operational KPI dashboards in Power BI (or similar). ·       Conduct deep-dive analyses on acquisition, retention, and monetization metrics. ·       Support management in quarterly OKR reviews with analytical insights and forecasts. ·       Curate metadata, lineage, and glossary entries for critical datasets. ·       Track implementation of governance policies and compliance with data ownership model. ·       Evaluate effectiveness of data quality monitoring tools and workflows. ·       Prepare and present analytical materials for leadership and board-level reviews. 💻 Skills & Tools: ✅ SQL – advanced level for analytics and governance queries. ✅ Python – for modeling, statistical analysis, and data validation. ✅ Power BI (or similar-  Tableau, Looker etc) – for data storytelling and executive reporting. ✅ Data Governance Platforms – experience with Ataccama, Collibra, Alation, OpenMetadata or etc. ✅ DWH & Integration – understanding of pipelines, data lineage, and data catalog integration (Postgres, etc.). ✅ Statistics & Experimentation – hypothesis testing, regression, causal inference, cohort analysis. ✅ Financial & Strategic Analysis – familiarity with unit economics, LTV, CAC, margin modeling. 🌟 Soft Skills: 🗣️ Strategic Communication – ability to distill analytical insights into concise strategic narratives for executives. 🧩 Systems Thinking – connects operational processes, data flows, and financial outcomes. 📋 Project Management – coordinates cross-team governance initiatives. 🔎 Critical Thinking – detects weak points in data logic and decision frameworks. 🤝 Stakeholder Leadership – builds alignment among Product, Risk, Marketing, Operations, Legal, Finance, DWH and IT. 🚀 Change Catalyst – inspires teams to adopt data-driven practices and maintain analytical discipline.

Location: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp wins when our customers win. Ramp’s customer base is scaling rapidly, spanning more businesses, more users, and more use cases across increasingly complex finance operations. At the same time, our expanding product surface area — from cards and expense management to bill payments, procurement, vendor management, accounting automation, and emerging products — is creating more nuanced customer needs and more cross-functional support moments. AI is changing what is possible in parallel: giving CX new ways to route, resolve, and guide customers, while raising the bar for where human judgment, specialization, and consultative support matter most. We are hiring a Director to lead a critical part of our omni-channel Customer Experience organization: the teams and leaders serving customers across Phone, Email, and Chat. You will lead within a 24/7 customer operation, ensuring the right coverage, leadership, and customer experience across channels. This role is accountable for the performance of its channel portfolio, helping customers get the right answer quickly and delivering consistent results across quality, speed, productivity, and customer satisfaction. The role combines direct leadership of channel teams with close partnership across CX Operations, CX Specialized teams, CX AI Ops, and Product Operations. You will develop strong managers and frontline teams, create real accountability, and stay close enough to the work to understand where customers and teams are getting stuck. You will translate the department’s direction into clear priorities, stronger operating routines, and measurable improvements across Phone, Email, and Chat. Because Ramp’s CX team sits within the Product organization, this role has close ties to the technical teams and products our customers use every day. That proximity gives CX a unique opportunity to turn frontline insight into better workflows, stronger product feedback loops, and an AI-powered way of working. This role is a strong fit for a thoughtful, hands-on leader who learns quickly, raises the bar, and makes clear decisions in a fast-changing environment. You are comfortable owning the day-to-day, rolling up your sleeves to understand the work and the product deeply, developing people, setting high standards, and turning complex problems into clear plans that improve outcomes for customers and teams. You will help define how managers lead, how frontline teams use AI and automation, where human judgment matters most, how channels work together, and how CX scales through Ramp’s next chapter. If you love building high-performing teams, solving hard operational problems, and helping customers win through rapid product, business, and AI-driven change, this role is for you. WHAT YOU’LL DO - Own day-to-day channel execution — lead Phone, Email, and Chat teams, stay close to the work, and drive frontline performance across customer satisfaction, quality, service levels, resolution quality, and productivity. - Develop CX leadership — coach Managers, set clear expectations, and build accountability for team performance and customer outcomes. - Serve as an escalation point — help resolve high-priority customer and internal escalations, bringing sound judgment, urgency, and clear communication to complex issues. - Improve tools, workflows, and channel execution — use product knowledge, customer feedback, quality findings, and performance data to improve operating routines, resolve cross-channel trade-offs, and partner with CX Operations, CX Specialized teams, AI, Product Operations, Product, Engineering, Risk, and other stakeholders on better workflows and automation opportunities. - Challenge how we operate — evaluate whether our metrics, workflows, team structures, training, and operating model meet today’s customer and business needs. Bring a founder mindset by questioning assumptions, testing new approaches, and helping the organization evolve. - Shape the AI-powered future of CX — define how CX should evolve as Ramp grows, including how managers lead, how frontline teams use AI and automation, where specialization improves the customer experience, and where human judgment should be elevated. - Turn strategy and emerging opportunities into scalable operations — translate department priorities and new business areas into clear channel plans, repeatable processes, strong change management, and high adoption across Phone, Email, and Chat. WHAT YOU NEED - Experience as a leader who has managed large, complex operational teams in a fast-paced environment; traditional support experience is valuable but not required. - Exceptional learning agility and horsepower, with startup or similarly high-ownership operating experience; you learn new domains quickly, move through ambiguity, and build structure without waiting for perfect information. - A record of improving customer-facing operations through rigorous analysis, strategic problem solving, and strong execution, including finding practical solutions to complex problems others may miss. - An empathetic, direct leadership style that develops people while holding a high personal and team bar for performance, quality, ownership, and follow-through. - Strong written and verbal communication, including the ability to align teams and cross-functional partners around difficult decisions. - A builder mentality around technology and operations, with experience using AI, automation, or workflow tooling to transform the customer and team experience and drive changes from idea to adoption. - Curiosity about the business behind the support motion, with the ability to connect customer needs, product complexity, frontline workflows, and company priorities. NICE TO HAVES - Experience leading multiple customer-facing channels, such as Phone, Email, Chat, or other real-time and asynchronous support operations. - Experience in FinTech, financial services, or another complex, highly regulated environment. - Experience partnering with operations, product, or tooling teams to improve customer-facing workflows across multiple teams. - Experience scaling customer operations at a high-growth startup. COMPENSATION For candidates located in New York City or San Francisco, the base salary range for this role is $220,000–$290,000. For candidates located in all other locations, the base salary range will be between $190,000-$260,000. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice