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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 Anthropic's customers renew on a mix of committed and consumption contracts, and the number of renewals is growing faster than any team of people could keep pace with. We don't want to answer that by hiring hundreds of renewal managers. We want renewals to run as a system: Claude and agents do most of the work, from spotting risk to drafting the offer to closing a standard renewal in product, and people step in where judgment, negotiation or relationships matter. You'll design, build and run that system. You'll own the renewal outcome for the business globally and the product and technology that delivers it. You'll lead a small team of builders and the human layer, internal specialists and outsourced partners, that handles what agents can't yet. You'll work closely with Sales, Customer Success, Deal Desk, Finance, Billing and Product Engineering. This is a Claude-first role. You'll use Claude every day to do your own work, and the renewal function will be one of the clearest examples inside Anthropic of what AI-run operations look like. What you'll own in your first year The design of the renewal system: which work agents run end to end, which work goes to a person, and the handoff rules between them. A standard renewal that needs no person: a Claude-generated offer in product ahead of term end, accepted and provisioned automatically, with anything outside guidance routed to a seller with a recommended quote. The data the system runs on: contract, commit burndown and usage data clean enough that agents and people trust it, built with Billing and Finance. Early-warning signals for consumption risk and commitment shortfall, and what happens when one fires. The human layer: how internal specialists, outsourced partners and account teams work around the agents, and the measures they're held to. The next large renewal cycles, run with fewer manual steps per renewal than today. Weekly renewal and retention forecasts grounded in usage and contract data. Executive renewal conversations on the largest and most complex accounts, alongside account teams. You may be a good fit if you have Owned renewal, retention or post-sale outcomes at large scale, either running the function or leading the product or service that runs it for others. Led product or engineering teams and shipped software or agents that took over work people used to do. Run or designed a blended model of people, outsourced partners and software, and know where each one breaks. A working grasp of renewal economics: committed and consumption contracts, discount guidance, and the term, billing and CRM data behind them. Built things yourself recently. You can prototype with Claude, read the data and pressure-test an agent's output without waiting on someone else. Set direction with senior executives and held cross-functional teams to it without direct authority. Strong candidates may also have Usage-based pricing and commit burndown experience. Built health, churn or early-warning models that changed what teams did. Worked at a company whose product runs renewals, retention or quote-to-cash for its customers. Worked across regions, including marketplace or cloud-partner billing. Written or spoken publicly about agent-led customer operations. 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: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world. You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth. Key responsibilities Deep dive into user behavior data to provide insights on safety concerns Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company Minimum qualifications Expertise in Python, SQL, and data visualization tools. A bias for action and urgency, not letting perfect be the enemy of the effective. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. A deep curiosity and energy for pulling the thread on hard questions. Experience in turning open questions and data into concise and insightful analysis. Highly effective written communication and presentation skills. A passion for the company's mission of building helpful, honest, and harmless AI. Preferred qualifications 8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context. 3+ years of experience deeply embedding in Product teams. Experience working on safety, anti-abuse, integrity shaped problems. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York Workplace: hybrid ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate, and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over $27M from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. 🙋What You Should Have   ·       At least 4+ years of prior Account management experience. ·       Previous crypto/blockchain experience a big plus but not necessary. Perhaps you enjoy this in your spare time? Even better! ·       Previous compliance/finance experience also a big plus. ·       Proven sales track record.  ·       Exceptionally strong relationship and people management capabilities. ·       A creative problem solver, results driven and self-motivated. ·       Possesses a resilient personality, proactive and reacts well under pressure. ·       Ability to handle changing requirements and unforeseen issues as they arise,  rapidly and positively in a timely manner. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science. 💥 What You Will Do ·       Be the primary point of contact and build long-term relationships with clients.  ·       Client champion within Merkle Science who will work closely with the product team to advocate for key requirements of customers and identify new opportunities. ·       Develop a trusted advisor relationship with key accounts, client stakeholders and executive sponsors. ·       Ensure the timely and successful delivery of our solutions according to customer needs and objectives. ·       Communicate clearly the progress of monthly/quarterly initiatives to internal and external stakeholders. ·       Forecast and track key account metrics. ·       Update job knowledge by participating in educational opportunities; reading professional publications; maintaining personal networks; participating in professional organizations. ·       Enhance department and organization's reputation by accepting ownership for accomplishing new and different requests. ·       Responsible for keeping current clients satisfied and delivering exceptional client service on a day-to-day basis. ·       Monitor and analyze client’s usage of our product in order to be proactive if utilization drops. ·       Responsible for working with the Sales team to onboard and integrate new clients and developing existing client relationships. ·       Responsible for product adoption and in turn, client retention. ·       Liaise between the client and internal teams to advocate on the clients’ behalf.

We are SmartyMe - one of the leading microlearning apps in the world, used daily by millions of users across Tier-1 markets. Our mission is to make learning a daily habit for everyone. We scale through performance marketing, product excellence, and systematic growth. User Acquisition is a core growth engine for us. While we already operate at scale across paid channels, Google Ads is a fast-growing and strategically important direction that we are actively expanding as a standalone, owned growth channel. We have strong internal UA expertise and infrastructure , and we’re ready to go deeper. This role is an opportunity to take full ownership and help build scalable acquisition systems on top of an already proven performance foundation. We work with a performance-based compensation model that allows us to pay at the top of the market for real results and impact. What You’ll Do: Own and scale channels end-to-end, managing campaigns hands-on with a strong focus on ROI Launch, structure, and optimize campaigns across Search, GDN, Demand Gen, and Performance Max Build and evolve campaign architecture, processes, and channel structure for scalable growth Design and execute testing frameworks, driving continuous performance improvements Develop and implement automation, rules, and optimization systems on top of the channel Collaborate with analytics and product teams to improve funnel performance and conversion efficiency Identify and scale growth opportunities across keywords, creatives, audiences, and funnels Increase spend in a controlled way while maintaining efficiency targets Maintain clear documentation of campaigns, testing, and processes What We’re Looking For: 3+ year in User Acquisition / Performance Marketing Strong hands-on experience with Google and Meta Experience with Search, GDN, Demand Gen (Discovery), and Performance Max Proven experience scaling paid acquisition budgets Experience with subscription or B2C digital products Strong analytical mindset and experimentation approach Solid understanding of funnels (web2web, web2app, app - any mix) Ability to independently own and develop a growth channel Nice to have: Experience with automation, rules, or scripts Experience building campaign structure and systems from scratch Advanced Excel / Google Sheets skills Experience working closely with product and analytics teams Previous experience in fast-scaling environments Why You'll Love Working With Us: Innovative Environment: We're all about trying new things and pushing the envelope in EdTech. Freedom: Flexible role based either remotely or hybrid from one of our offices in Cyprus(Limassol), Poland (Warsaw). Health: company-provided medical expense compensation. AI solutions: АІ subscription and other tools. Balance: Flexible paid time off, you get 21 days of annual leave + 10 days of public holidays. Collaborative Culture: Work alongside passionate professionals who are as driven as you are.

Location: Washington DC Workplace: Remote ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE As our first Federal Partner Alliances Lead for the US, you will own the systems integrator and consulting partner ecosystem across the US Federal market. This is a high-leverage, senior individual contributor role where you will build and drive our federal partner strategy from the ground up — focused primarily on establishing deep, revenue-generating relationships with the major Federal Systems Integrators (FSIs) and a curated set of specialized boutique partners. You are an operator at heart who loves the ambiguity of a fast-growing startup. You understand how developer tools and enterprise AI stacks fit together within the unique compliance and regulatory requirements of the federal space, and you have a track record of driving sourced and influenced revenue through partner channels without needing a heavy management playbook to guide you. This role sits within our GTM organization and will work closely with our field sellers, customer engineering teams, and product leaders to embed LangChain into the delivery practices and solution portfolios of the partners who win and execute the biggest federal AI programs. WHAT YOU'LL DO - Own FSI Relationships: Build and lead LangChain's strategic partnerships with the major federal primes — including Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, Accenture Federal, and similar large-scale integrators. Drive structured engagement across their AI/ML practices, solution architects, and business development teams to embed LangChain into active and upcoming program pursuits. - Develop Boutique and Specialized Partners: Identify and activate a curated set of smaller, mission-focused federal consultancies and AI-native partners that are embedded in specific agency relationships or cleared environments where the primes don't reach. - Build Joint Go-to-Market Motions: Work with FSI partners to co-develop solution offerings, reference architectures, and proposal language that positions LangChain as the preferred agentic AI framework for federal program delivery. - Drive Pipeline Through Partners: Own the partner-sourced and partner-influenced pipeline, working hand-in-hand with LangChain's field sales team to ensure FSI relationships translate into real opportunities and closed revenue. - Support Hyperscaler Relationships Selectively: Maintain a lightweight working relationship with AWS GovCloud, Azure Government, and GCP Public Sector teams, primarily to support event sponsorships, joint visibility opportunities, and marketplace presence — without making this a primary focus of the role. - Execute Co-Marketing Motions: Partner with marketing to show up effectively at key federal industry events (AFCEA, AWS Summit DC, industry days) and develop technical content and co-branded materials that reinforce LangChain's credibility with FSI and agency audiences. - Build the Playbook: Create the operational blueprint for how LangChain scales federal partnerships — from initial relationship mapping and partner tiering to joint pipeline tracking and executive engagement cadences. WHAT YOU'LL BRING - Experience: 6+ years of experience in federal partner management, business development, or alliance roles, with a strong track record of building and monetizing relationships with major FSIs and federal primes. Direct experience working within or alongside Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, or similar organizations is a significant plus. - FSI Network: A genuine, pre-existing network within the business development, AI/ML practice, and solutions architecture communities at the major federal primes. You should be able to get meetings quickly and have credibility with the people who shape program pursuit decisions. - Technical Foundation: Enough technical fluency to speak credibly with enterprise architects and engineering leads in federal environments. You don't need to write code, but you must understand how LLMs, agentic frameworks, and developer tooling operate within federal infrastructure, including FedRAMP, IL4/IL5, and zero-trust requirements. - Startup Agility: Proven ability to navigate a high-growth environment with limited structure. You are comfortable building the playbook as you run it, executing independently with minimal supervision in the often long-cycle federal sales environment. - Operational Rigor: Strong pipeline management skills. You track partner activity with clean CRM hygiene, maintain accurate opportunity attribution, and communicate clearly and consistently to internal stakeholders. - Strong Communication & Influence: Equally comfortable writing sharp internal strategy docs as you are presenting to senior BD and practice leaders at major federal integrators. NICE TO HAVE'S - Active security clearance (Secret or higher) or existing clearance eligibility. - Prior experience at an open-source, developer tools, or infrastructure software company bringing a new technology into the federal FSI ecosystem. - Familiarity with federal procurement vehicles (GSA Schedule, OTAs, BPAs) and how primes use them to structure program delivery. - Familiarity with the modern LLM orchestration stack, federal data environments, and compliance frameworks (FedRAMP, NIST, CMMC). Annual Salary Range: $190,000 to 270,000 + Equity COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: London, England - Office MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. MariaDB now includes GridGain, a leader in in-memory computing, extending MariaDB to handle the extreme-velocity data requirements of autonomous AI agents. The Opportunity The Enterprise Account Executive is responsible for increasing sales from current and new MariaDB services within multiple customer segments. The ideal candidate will own the full sales cycle by engaging with customers continually throughout their adoption of MariaDB. A successful candidate will generate and maintain active engagements with customers and prospects, as well as consistently meet and exceed sales quotas. Responsibilities Drive the right customer solutions Close business with existing and new customers Work effectively in a highly collaborative and fast-paced environment Maintain an accurate, robust pipeline and forecast of business opportunities Understand the technical requirements and certifications specific to the prospect or customer Manage and accelerate the sales pipeline by engaging with prospects, partners and key customers Set a strategic sales plan for your territories in line with the MariaDB strategic direction Prepare and deliver business reviews to the senior management team regarding quarterly strategies Follow up with leads in your territory within company SLAs, using relevant messaging via phone, email and social media Must be willing to travel up to 20% to various company and customer locations Qualifications Sales hunter, focused on new and expansion business who is persistent, tenacious and self-disciplined with a track record of managing time efficiently and meeting personal goals Proven ability to manage large enterprise opportunities, while closing transactional business Ability to champion inside of key accounts Sales acumen to run complex sales cycles 7+ years’ database/data management, DBaaS or cloud sales experience Background in selling enterprise cloud database solutions preferred Experience selling open source software solutions is preferred Proactive and optimistic spirit with strong interpersonal communication skills Demonstrated ability to effectively communicate the business value of complex enterprise solutions Experience with prospecting and opportunity development using tools such as Clari, Salesloft, Salesforce.com, Nooks, Marketo and ZoomInfo Bachelor’s degree or equivalent practical experience Bonus Experience and Skills Knowledge and understanding of cloud databases or data integration technologies Experience working with and managing partners in complex implementation projects including global system integrators and packaged software vendors Working understanding of relational, distributed and analytic databases Experience with large complex commercial and legal discussions working with procurement, legal and business teams Experience working at a growth startup Track record working effectively with internal, partner and customer teams Location Remote - UK - London, England What’s in It for You? Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, salary and Commission, 25 days of paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. Salaries for candidates outside the U.S. will vary based on local compensation structures. Compensation Salary Range : 100,000–120,000 GBP annually (gross) Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our compensation framework. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

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 As a Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country/regional-specific analysis Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on: Labor markets and the future of work Productivity and task transformation Economic inequality and displacement Industry-specific disruption and adaptation Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning Demonstrated experience working in and relevant relationships across the region Experience relevant to the study of AI’s impact on the economy, including: Labor market analysis and occupational change Task-based approaches to technological transformation Large-scale data analysis and econometric methods Large language models for social science research Policy-relevant economic research Experimental and quasi-experimental methods for causal inference Macroeconomic modeling and time series forecasting Agent-based modeling or large-scale simulation Technical skills including: Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Demonstrated ability to: Lead complex research projects from conception to publication Communicate technical findings to diverse audiences Build relationships across academic, policy, and industry communities Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Additional information For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country/regional-specific analysis Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on: Labor markets and the future of work Productivity and task transformation Economic inequality and displacement Industry-specific disruption and adaptation Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning Demonstrated experience working in and relevant relationships across the region Experience relevant to the study of AI’s impact on the economy, including: Labor market analysis and occupational change Task-based approaches to technological transformation Large-scale data analysis and econometric methods Large language models for social science research Policy-relevant economic research Experimental and quasi-experimental methods for causal inference Macroeconomic modeling and time series forecasting Agent-based modeling or large-scale simulation Technical skills including: Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Demonstrated ability to: Lead complex research projects from conception to publication Communicate technical findings to diverse audiences Build relationships across academic, policy, and industry communities Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Additional Information For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. 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: £195,000 — £245,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Oakland, CA; San Francisco, CA Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Field Operations Manager on Via’s Transit-as-a-Service (TaaS) Operations team, you’ll be responsible for managing operations using our innovative technology platform. You’ll manage daily operations while driving continuous improvement and growth of our services. **This is an in-person position with the expectation that you will be onsite in Bayview, CA 3-5 days per week.** What You’ll Do: Ensure operational excellence and an unbelievable customer experience Oversee operations in person, the business needs may dictate a need for early mornings or evenings at times Manage driver supply to ensure the appropriate amount of vehicles are in service at any given time to meet demand expectations Prioritize operational issues as the real-time point of contact and implement creative solutions to solve problems as they arise Respond to driver feedback and live customer issues Diligently work collaboratively with a broad interdisciplinary team to scale operational processes, systems, and tools to drive rapid growth Analyze, interpret metrics/KPIs in order to identify possible inefficiencies and apply analysis to optimize operations. Who You Are: A socially perceptive, environmentally conscious individual who is aligned with promoting transportation equity and the reduction of carbon emissions. A self-starter who is comfortable taking on a high level of responsibility A driven executor with a track record of end to end ownership of a book of business, and a history of hitting KPIs and revenue goals. A team-focused individual that takes ownership of their work and pride in their team's success. Experienced in project management, creating and refining operational processes, and customer service. Multi-site management experience is a plus. An outgoing and sociable leader; skilled at communicating professionally with partners, customers and driver partners from a broad range of backgrounds. Willing to wear multiple hats and contribute on projects of all types Fluent in English, additional languages a plus Based in the Oakland or SF area can easily commute between operations at least 3-5 times a week Experienced in managing (including scheduling) a team is a plus Taking initiative and owning new projects Comfortable with ambiguity and evolving / adapting as conditions change Experienced in managing projects with multiple stakeholders is a plus Bachelor’s degree is a plus Compensation and Benefits: Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable. Salary Range: $65,000 - 75,000 / year. We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the open-source Postgres development platform. 10M+ developers and thousands of enterprises depend on it every day. Database, Auth, Storage, Edge Functions, Realtime and Vector Search run on one platform: the same compute, disks, network and control plane, in each region we operate. Supabase's hardest problems live in that platform. We run millions of databases, and the count compounds each quarter. Our customers range from a developer on a free project to a regulated enterprise that routes traffic through PrivateLink https://supabase.com/docs/guides/platform/privatelink and puts us through a security review before it signs. Reliability, capacity, cost, security and the enterprise features that close deals all come back to the same primitives. We're hiring a Product Lead to own them and build the product team behind them. ABOUT THE ROLE You lead product for the platform under every Supabase product: compute, disks, networking, the API gateway, capacity and regions. You also own what enterprises build and buy on top of it: read replicas https://supabase.com/docs/guides/platform/read-replicas, custom domains https://supabase.com/docs/guides/platform/custom-domains, PrivateLink, Bring Your Own Cloud, and the security and compliance controls they need before they sign. You report to the Head of Product, set direction for the platform, and work alongside the leads for our other product lines. You lead the platform's product managers, including our infrastructure product lead, and you hire and develop the PMs who grow the team. WHAT YOU'LL BE RESPONSIBLE FOR: - You build and lead the platform product team. You decide how to split the area, hire the PMs who own the rest of it, and coach them to own their roadmaps end to end. You set the bar for their work. - You decide what gets built, what gets deferred, and what gets cut. Each quarter you choose between enterprise unlocks that open new markets, cost and performance wins for the long tail of projects, and new capabilities that change what Supabase can run. The priorities are yours, and so is defending them. - You own reliability and security as product surfaces. You set service levels that track what customers experience and hold teams to them. You decide which security and compliance commitments we make to enterprises, and you show customers what it takes to run millions of databases. - You talk to customers across the full spectrum: developers running one small project, startups whose bill is mostly compute and disk, enterprise architects running a network or security review, and partners building on Supabase. - You run the platform's planning. Your PMs write problem statements, requirements and launch metrics before engineering starts. After each launch, you check whether it moved enterprise deal velocity, project economics or platform reliability. - You keep engineering, design and leadership aligned. The platform sits under each Supabase product, region and customer tier. You write down what's coming, why, and in what order, and you raise dependencies before they block anyone. YOU MIGHT BE A GOOD FIT IF YOU: - Have 8+ years of product management experience on developer tools or infrastructure, or have founded a company in this space. You can read an architecture doc and hold your own in a design discussion. - Have built and led a team of product managers. You've hired PMs, grown them into owners of their own areas, and made the hard call when someone wasn't working out. You've led leads who run their own teams. You did it while the product grew from something you could hold in your head to a business where capacity, regions and cost set the limits. - Have shipped cloud infrastructure as a product. You owned at least one of compute, networking, storage, or multi-region and multi-tenant systems yourself, at a cloud, infrastructure or PaaS company. You can judge the tradeoffs: instance sizing and capacity, disk and storage economics, scale-to-zero versus always-on, single-tenant versus shared, and the gap between "works in one region" and "works in twenty." Knowing how enterprises buy and security-review infrastructure (PrivateLink, BYOC, compliance, procurement) is a bonus. - Move fast and use AI to do it. You'd rather ship something imperfect and learn from it. You hand AI the slow parts of the job (research, drafting, synthesising feedback) and spend your time on judgment calls. - Build with what you own. You stand up a read replica, put a custom domain in front of a project, route traffic through PrivateLink and deploy onto BYOC. Your opinions come from using the product. - Work async by default. We're fully remote. You make decisions in writing and move work forward without meetings. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

RELOCATION TO SPAIN About the opportunity We're looking for a Senior Product Designer to join N26's UX team in the Grow and Engage domain. There are several areas within the domain where design strength is being added, and candidates will be matched based on their background and interests. The role involves leading end-to-end design for key parts of the N26 experience used by millions of customers daily. The position reports to the Head of UX and works within a cross-functional team including product, engineering, research, and data partners. About the work The Grow and Engage domain focuses on how customers derive lasting value from N26, covering core product features that drive daily banking habits, recommendations, AI-powered insights, and subscription tiers (Smart, Go, Metal). The role includes designing for the home screen, in-app discovery, and cross-cutting product patterns, with scope to influence current and future product packaging. What you'll do - Own end-to-end design for important workstreams from problem framing through research, exploration, and delivery. - Deliver high-quality UI and interaction design that delights customers and drives conversion. - Define user needs, success criteria, constraints, and tradeoffs before solution development. - Adapt to evolving priorities, knowing when to dive deep or pivot. - Mentor and elevate the design craft of peers through critique and leadership. - Ensure consistency by contributing to and improving the design system and creating reusable patterns. - Use data-informed approaches combining qualitative and quantitative research. - Collaborate closely with product, engineering, research, and data teams to deliver impactful work. - Utilize AI tools fluently for exploration, prototyping, synthesis, and accelerating design tasks. What we're looking for - High personal standards in design output that elevate the team. - System thinking to design holistic product experiences. - Rigorous problem understanding before solutioning. - Ability to ship quickly, prototype to learn, and avoid over-polishing. - Comfort and curiosity with AI tools in design practice. - Ability to provide constructive feedback that improves team thinking. You're a good fit if you have - A strong portfolio demonstrating end-to-end product design on complex consumer products, ideally mobile and at scale. - Experience leading design across multiple workstreams or feature areas. - Experience contributing to a production-scale design system. - Experience grounding decisions in research and data, proactively seeking data when unavailable. - Experience mentoring designers and elevating design craft. - Strong written and verbal communication skills to advocate design decisions to product, engineering, leadership, and customers. How we work - Close collaboration with PM and engineering to develop scalable solutions. - Hands-on leadership where managers continue to design. - AI is integrated into design tooling, prototyping, and product development. - Frequent shipping and learning from live products as well as design tools. What’s in it for you - Career acceleration at a leading European fintech disruptor. - Employee benefits including personal development budget, work from home budget, fitness and wellness discounts, language apps, and public transportation. - Premium N26 bank account subscription for employees and their friends and family. - Additional annual leave days for each year of service. - High autonomy and access to cutting-edge technologies. - Relocation package with visa support for those who need it.

Location: New York City, NY; 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 part of our growing Data Science & Analytics team, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI — this time by driving data-informed decisions across the commercial customer lifecycle. This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy. You will own measurement and analysis for new logo acquisition through activation, expansion, and retention for a rapidly scaling, consumption-based AI platform. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing data science function at a pivotal moment in the company's growth. Key responsibilities Define key metrics, build measurement frameworks, and maintain core reporting to evaluate GTM success across segments and products Analyze commercial and user data to surface actionable insights, size opportunities, and influence roadmaps and go-to-market strategy Develop hypotheses and apply rigorous causal inference methods — controlled experiments, synthetic controls — to make clear, actionable recommendations Investigate anomalies, conduct root cause analyses, and provide data-driven guidance on priorities and decisions Build statistical models, optimization frameworks, and simulations to support and automate commercial decision-making processes Present analyses and recommendations to both technical and non-technical stakeholders, including GTM leadership Establish foundational data practices and help scale analytics infrastructure to support rapid product and commercial iteration Minimum qualifications Proficiency in Python, SQL, and data visualization tools Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high-scale technical environments Demonstrated ability to translate complex data into clear, actionable insights for both technical and business audiences Strong written communication and presentation skills Ability to work effectively in fast-moving, ambiguous environments — comfortable creating structure and driving progress where neither yet exists Preferred qualifications 5+ years of experience in data science or analytics roles A strong track record in multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem Genuine interest in Anthropic's mission of developing safe and beneficial AI The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Vancouver, BC At Asana, we believe AI represents the future of work, and APIs are at the heart of how AI connects with the tools where work happens. As a Software Engineer on our API and Developer Platform team in Vancouver, you will help make our developer platform come to life for AI, owning the gateways that enable data flow into and out of Asana. You’ll use your engineering experience to design intuitive and secure interfaces, partner with other product teams to enable new API features, and improve the holistic experience for external developers and AI agents. By joining our team, you will contribute directly to an agentic future for the enterprise and collaborate within a high-performing engineering environment. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Shape and own the guidelines for what constitutes excellent API design, partnering with internal engineering teams to enable them to implement best practices in a self-service manner. Collaborate with Product Management, Design, Data Science, and User Research to gain a deep understanding of developer needs and translate them into elegant, scalable platform solutions. Contribute across the full stack using Scala and Typescript to continuously improve the experience for external developers and AI agents. Drive code quality and maintainability by developing clean, beautiful code and proactively leaving systems better than they were found. Partner with cross-functional stakeholders to influence the roadmap for our Model Context Protocol (MCP) server. About you 6+ years of experience working within large, complex codebases. 1 or more years of experience building public-facing API products or developer platforms. Excellent communication and collaboration skills for partnering effectively with cross-functional teams. Ability to learn quickly and comfortably transition between different areas of a large codebase. A strong appreciation for productivity and a deep care for helping teams—including your own—collaborate more effectively and efficiently. Excitement to contribute to an inclusive culture where every team member is encouraged to bring their whole self to work. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $176,000 - $200,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-HC1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to 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 law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Home Based - APAC Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1100+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. This is an opportunity for an Linux Engineer/Administrator with a passion for Linux and Customer Success to build a career with Canonical and support the technical needs of customers leveraging Ubuntu and open source products. If you have a passion for technology and an eagerness to learn, then you will enjoy working with some of the best people in the industry at Canonical. You will be accountable for delivering an outstanding technical support experience on the full Desktop and Server technical stack at Canonical. From problem qualification to full resolution, you will own and manage your cases. When needed, you will transfer your cases to your colleagues or involve senior engineers. Your day to day job is to provide technical expertise, be an excellent communicator and a service-oriented professional. Every day you will have to make judgement calls to prioritise customer issues and maximise your effectiveness. You will also need to set time aside to learn about our new products and technologies and evolve as a professional. You will participate in various training sessions, team gatherings and Company events. Location: Home-based in Singapore. The role entails Investigate issues reported by customers by researching and escalating issues Work to resolve complex customer problems related to Canonical’s portfolio of products. Ownership of results: Ensure that each support case owned by you is handled according to our Service Level Agreement (SLA) with the highest possible customer satisfaction by setting the right expectations and fulfilling your commitments. Engage directly with customers and work collaboratively by phone, ticketing system, and remote sessions to resolve their issues. Participate in a regular weekend working rotation. Contribute new knowledge base articles and maintain existing articles, ensuring shared knowledge and lessons learned are available to customers. Understanding Ubuntu development process to be able to set customer expectations correctly on timeline for a fix. What are we looking for in you Professional written and spoken English with excellent presentation skills Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path Track record of going above-and-beyond expectations to achieve outstanding results Experience with Linux troubleshooting (collecting logs and stack traces, fine-tuning by editing configuration files) Experience with Linux integration with other environments (authentication/directory services, network file systems, etc.) Troubleshooting experience: Linux integration with other environments (authentication/directory services, network file systems, etc.). Ability to navigate effectively stack traces and logs, and advise on next steps. Solid understanding of OS and Application level bugs and when to escalate to the correct team. Ability to learn quickly, thrive on change and handle the pressure of a customer facing job Programming fundamentals in any language. Ability to travel internationally twice a year for company events up to two weeks long Extensive Customer support experience is key: Customer needs are top priority. Communicate professionally, emphatically, clearly and set the right expectations. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Fort Worth, TX Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As Via's People Operations Regional Manager, you will be supporting our local team in Fort Worth, and a number of Via services across Texas. This position is focused on supporting our frontline employees by overseeing HR processes such as policy implementation, compliance, employee support, and real-time issue resolution, all while fostering a positive and fair workplace culture. This is a hands-on role — we’re a one-team culture, and you’ll be rolling up your sleeves to support across the board, whether it's stepping in for a short-term project, offering guidance to an employee, or diving into new HR initiatives. Collaborating closely with Via’s core HR team, you’ll act as a trusted partner, providing a safe space for feedback and ensuring strong relationships with our employees. With great judgment, attention to detail, and a focus on process, you’ll help shape an employee experience that aligns with Via’s mission. **NOTE: this is a 5-day a week in-person role, primarily based in our Fort Worth location with regular travel to other sites** What You'll Do: Own end-to-end employee lifecycle processes, including onboarding, off-boarding, pre-employment requirements, and documentation. Manage workers’ compensation and unemployment claims, ensuring timely processing and compliance. Serve as a trusted employee advocate, providing day-to-day support, handling inquiries and investigations, and fostering a positive, inclusive workplace culture. Lead employee engagement and recognition initiatives to enhance overall employee experience. Support payroll processes to ensure accuracy and compliance, administer employee benefits, including open enrollment, education, and support. Maintain accurate employee records and ensure adherence to company policies and regulatory requirements. Partner on recruiting efforts, including interviews, offer processes, and pre-hire screenings. Lead sensitive employee relations matters, including terminations and required documentation. Represent the company externally at job fairs and community events to attract talent and build brand awareness. Act as a key liaison with local partners and vendors, supporting operational needs and strengthening relationships. Collaborate with central HR teams to align on best practices and drive process improvements. Who You Are: Minimum of 3+ years of experience in HR operations, employee relations, talent acquisition or a similar role. Experience working with unionized employee populations and understanding of collective bargaining agreements. You’re comfortable with ambiguity and flexible in adapting to changing needs, always looking for creative solutions. Knowledge of employment laws and regulations (e.g., FMLA, ADA, FLSA, etc.). Strong interpersonal and communication skills with the ability to handle sensitive situations effectively. Detail-oriented and highly organized with a process-driven mindset. Proven ability to work in a fast-paced, dynamic environment and manage multiple priorities. Based in the Dallas-Fort Worth area and comfortable working in person 5 days per week Experience working with unions is a plus Compensation and Benefits: Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable Salary Range: $70,000-$90,000 per year We are proud to offer a generous and comprehensive benefits package. Ready to join the ride? Via is an equal opportunity employer.

Location: Remote, AMER Workplace: Remote Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. We’re seeking a Customer Solution Architect Team Lead to captain a high-performing team of Customer Solutions Architects and help drive the adoption of Supabase across a diverse range of customers: from agile startups building towards their first launch to established brands with highly scaled workloads. This role will support the East Coast region across the Americas. As the CSA Team Lead, you will be responsible for both people management and customer outcomes - supporting team execution while developing repeatable best practices across pre-sales discovery, proof-of-value onboarding, and technical success. WHAT YOU’LL DO At Supabase, CSA Leads oversee a portfolio of high-value customers by empowering their team to deliver technical excellence and long-term customer success. You'll work directly with the team to: - Hire, coach, and grow a global team of CSAs who serve as trusted technical advisors to our customers. - Collaborate with Sales, Product, and Engineering to define and scale the CSA motion across the full customer journey—from discovery through adoption and renewal. - Create structured onboarding, training, and development plans for CSAs to level up in technical storytelling, Postgres optimization, and customer success strategy. - Ensure CSAs consistently deliver successful outcomes, unblock adoption, and drive value for paid Team and Enterprise accounts. - Work directly with strategic customers when needed—especially during complex escalations, architectural deep dives, or critical onboarding milestones. You'll be joining our team to support Supabase Team & Enterprise customers, where you will be expected to lead and innovate around the following areas of responsibility: PRE-SALES DISCOVERY: - Lead and review technical discovery led by CSAs to uncover business and technical objectives, set appropriate expectations of the Supabase platform, and define the criteria for success. - Guide CSAs in designing and presenting platform demonstrations tailored to high-value customers, helping them clearly articulate the value of the Supabase platform and team. - Collaborate with Growth team members to size deals, provide anticipated usage estimates, and identify potential workloads supported by the Platform. PROOF-OF-VALUE ONBOARDING - Support your team in defining and executing proof-of-value scopes that balance business outcomes with low-friction onboarding. - Ensure CSA-owned timelines, success criteria, and engagement tactics result in a high proof-to-conversion success rate. - Build reusable onboarding flows (email sequences, docs, templates, webinars) that accelerate time-to-value for new customers. CUSTOMER SUCCESS & EXPANSION - Help your team build detailed account plans focused on both short-term adoption and long-term expansion opportunities. - Provide ongoing technical coaching for CSAs conducting architecture reviews, schema design evaluations, and performance tuning for production workloads. - Partner cross-functionally to advocate for customer feedback, share emerging customer needs with Product & Eng, and communicate roadmap milestones back to customers. TRUST & PLATFORM ADVOCACY - Coach CSAs to act as internal and external champions of Supabase, building trust with customers through consistency, clarity, and deep product expertise. - Uphold a standard of excellence in customer engagement, ensuring Supabase becomes embedded in the way our customers build. PREFERRED EXPERIENCE - 6+ years of experience in Solutions Architecture, Technical Account Management, or Database Engineering. - 2+ years of people management or team leadership experience, ideally in a high-growth, technical startup environment. - Strong background with relational databases (PostgreSQL preferred), with a deep understanding of schema design, indexing, and query performance. - Hands-on experience building modern web applications using frameworks like React, Svelte, Vue, or Node.js. - Clear, confident technical communicator and storyteller. Must be able to distill complex technical topics into actionable outcomes for customers and team members alike. - Experience navigating stakeholder alignment, conflict resolution, and collaborative problem-solving across teams. - Familiarity with tools such as HubSpot, BigQuery, and internal BI dashboards. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Home based - EMEA; Office Based - London, UK Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. The role of a Technical and Reporting Accountant at Canonical: If you are passionate about the technology industry and want to work for a company that aligns with your interests, we might be the place for you! Canonical, and our world class Ubuntu product, attracts some of the leading talent from around the world. Come and work with exceptional people and advance your career in Finance! Our Finance team is growing and it's a really exciting time to join the team. We are looking for bright, motivated people who have a passion for making a difference. You will be seeking an opportunity to drive process improvements and change, input your ideas and truly contribute to a highly productive team. We are looking for an exceptional Technical and Reporting Accountant with IFRS experience to help us ready the business for public market scrutiny through our planned IPO. The right candidate will have domain expertise and a passion for IFRS. Location: This role may be office based in London, or Remote in EMEA Time Zones. What your day will look like Research and interpret new and existing accounting standards Provide technical accounting advice for complex transactions Draft accounting papers and policy documentation Monitor regulatory changes and assess their impact on the business Assist with the year end external audit process and support the internal audit team Assist in the month end reporting process to deliver timely and accurate information to management Ensure compliance with relevant accounting standards (e.g. IFRS, local GAAP) Assist in the preparation of statutory accounts and annual reports across multiple subsidiaries and jurisdictions Support the finance team's wider plans to prepare for an IPO Improve the efficiency of financial processes and procedures and monitor compliance Share knowledge between team members to ensure cover is available when needed Actively develop your own skills to ensure current knowledge of applicable standards and regulations Establish strong relationships with key colleagues outside the wider finance team What we are looking for in you Exceptional academic track record and subsequent career performance. Bachelor's degree in Accounting or equivalent. Qualified accountant (ACCA, ACA, ACMA, CPA, etc.). Strong knowledge of IFRS and local GAAP. Experience in financial reporting and statutory accounts preparation. Experience at a large public accounting firm, or public multinational corporate accounting department preferred. NetSuite or similar enterprise grade systems experience. Business level written and spoken English. Sincere personal motivation aligned with our mission. International travel 2-4 times a year for company events up to two weeks long. In addition we expect that you will match our values, by being: Precise, taking care to deliver correctness and clarity. Reliable, delivering high quality work that builds trust and confidence. Accessible, collaborating to build products and systems that are usable. Adroit, blending enthusiasm, knowledge, adaptability, style and character. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Armenia; Spain; Serbia; Poland; Kyiv City; Kyiv; Odesa; North Macedonia Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX, Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for . Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engine