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Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As our Data Engineer I, you will build and fine-tune the robust cloud data pipelines that power our analytics, data science, and product teams. You’ll tackle real-world architecture challenges, collaborate with world-class engineers, and directly shape how intelligent learning experiences reach millions of users worldwide. We are seeking engineers who bring deep analytical rigor to data modeling and relentless dedication to data quality. 🛠️ THE DAY-TO-DAY - Engineer the Flow: Implement high-performance ELT/ETL transformations using tools like dbt based on innovative specs from senior engineers and architects. - Orchestrate Data Jobs: Build, deploy, and maintain seamless data ingestion and transformation jobs powered by Airflow and Cloud Composer. - Guard Data Quality: Write and execute vital data tests—including row counts, null checks, and reference validations—to keep our datasets clean and trusted. - Monitor & Resolve: Proactively investigate automated alerts, ensuring peak system performance and escalating deeper architectural changes when needed. - Shape Lakehouse Architecture: Maintain pristine schemas and naming conventions across Snowflake, BigQuery, or Databricks while implementing table and view enhancements. - Document & Empower: Create clear documentation for pipelines, schemas, and caveats so the entire engineering team can safely build on your foundation. - Partner & Collaborate: Work closely alongside Analytics and Data Science teams to deeply understand their query needs and deliver optimized data structures. ⚡ YOUR SUPERPOWERS - Solid Academic & Technical Foundation: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience). - Early Career Momentum: 2-3 years of hands-on experience in data engineering, BI engineering, or equivalent project-driven environments. - SQL Mastery: Exceptional ability to write clean SQL (joins, filters, aggregations) and query across cloud data platforms like Snowflake, BigQuery, or Databricks. - ETL/ELT Aptitude: Strong foundational understanding of data transformation concepts and comfort navigating tools like dbt and Airflow under guided supervision. - Code & Version Control Literacy: Familiarity with Python (or similar languages) and Git-based collaborative workflows to ship clean code efficiently. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Kuala Lumpur Workplace: onsite With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for an Associate Lead Cinematic Artist to join the team and help us in crafting the high calibre games our fans have come to expect. Responsibilities Author realtime cinematics and interactive dialog sequences in our proprietary engine Develop junior talent through artistic feedback sessions and performance review cycles Develop and enforce standard practices for an evolving pipeline and toolset Design features to keep our workflows and technology on the competitive edge Requirements The ideal candidate would have 3+ years in an artistic role with a focus on visual storytelling either in games or animation A strong sense of cameras, staging and storytelling Interest in film and long form media Dedication to growing an artist in parallel with growing as a lead. Experience with 3D authorship Nice to Haves 1+ years experience leading or coordinating a team of artists Experience in a game engine What we Offer An international team of over 600 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel An open, collaborative environment where ideas are welcome and encouraged A managerial team consisting of highly experienced game developers at the top of their fields Sharing hobbies and passions with like-minded colleagues Inclusive environment with many activities organized by the studios or the employees Commitment to making the best game possible for the fans, including listening to community feedback

Location: United States SingleStore is looking for an accomplished sales professional to join our Sales Team. AI is moving from experimentation into production, and this role is an opportunity to break into AI while doing meaningful enterprise selling. As an Account Executive, AI Hunter, your job is simple: create new SingleStore customers. You will find companies building AI applications where data access, real-time context, memory, retrieval, or operational scale is becoming a constraint—and turn those challenges into new SingleStore customers. You will own a broad territory, build a majority self-sourced pipeline, create demand in an emerging category, and close greenfield enterprise opportunities. This is a true hunting role. You will engage customers before they have a defined project, develop customer-specific points of view, create urgency around business and technical problems, work with technical experts to land first production workloads, and build a measurable new-logo business with broad ownership. The ideal candidate is a measurable enterprise hunter who is competitive, curious, technically credible, resilient, and able to sell business outcomes. Direct AI sales experience is valuable, but proven selling ability and technical curiosity matter more than a narrow “AI seller” title. Role and Responsibilities Build and execute a territory strategy for net-new customer acquisition. Prospect fearlessly across a broad account universe using proactive, persistent outbound, account-based, partner, and market-education motions; stay resilient and effective through rejection and ambiguity. Form account hypotheses, map the buying center, and earn first meetings with relevant points of view tailored to the customer. Engage executive, business, technical, security, and procurement stakeholders. Lead great business-first discovery, connect AI and data challenges to fundable goals, and build quantified ROI, TCO, or operational-impact cases. Build and develop champions, multi-thread the buying group, earn executive and economic-buyer access, and maintain stakeholder alignment; own the stakeholder plan, mutual action plan, close plan, value case, stage gates, forecast, and commercial outcome. Lead complex sales cycles through technical validation, security, legal, procurement, negotiation, and close. Partner with Solutions and Forward Deployment Engineers and cross-functional teams to validate technical fit and establish the first production workload. Navigate competitive displacement and maintain disciplined activity management, CRM hygiene, reporting, qualification, forecasting, and opportunity management; showcase clear metrics such as pipeline created, meetings, conversion, quota attainment, and new-logo performance. Be AI fluent: use AI and research tools productively and responsibly while applying judgment, validating outputs, and separating facts from hypotheses. Travel within the assigned territory as required. Required Skills and Experience 5+ years of quota-carrying B2B enterprise software sales experience, ideally selling to large or technically sophisticated organizations; experience in data, cloud, analytics, AI, or adjacent technical domains is a plus. Repeated, quantified quota success with clear ownership of new-logo wins and self-sourced pipeline. Experience closing complex, multi-stakeholder deals involving executives, technical evaluators, security, legal, finance, procurement, and partners. Ability to sell measurable business outcomes and build ROI, TCO, or operational-impact cases. Technical fluency in an adjacent domain such as databases, data infrastructure, analytics, AI/ML, cloud, Kubernetes, developer tools, cybersecurity, observability, or open-source software. Strong qualification, account planning, forecasting, CRM, negotiation, and deal-management skills. Learning velocity and coachability, demonstrated through specific behavior change after feedback; ability to explain technical concepts clearly to technical and executive audiences. Executive presence, customer trust, resilience, intellectual honesty, and excellent communication skills. B.A., B.S. degree or equivalent in a related field. Experience with Fortune 500 or security-sensitive organizations, cloud ecosystems, open-source or consumption-based products, or emerging categories is preferred. To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company. SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses. SingleStore’s base salary range for this role is $90,000 to $150,000  with annual target earnings of $180,000 to $300,000 at quota with significant accelerators for overperformance. For candidates residing in California, please see our California Recruitment Privacy Notice . For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice.

Location: California, USA SingleStore is looking for an accomplished sales professional to join our Sales Team. AI is moving from experimentation into production, and this role is an opportunity to break into AI while doing meaningful enterprise selling. As an Account Executive, AI Hunter, your job is simple: create new SingleStore customers. You will find companies building AI applications where data access, real-time context, memory, retrieval, or operational scale is becoming a constraint—and turn those challenges into new SingleStore customers. You will own a broad territory, build a majority self-sourced pipeline, create demand in an emerging category, and close greenfield enterprise opportunities. This is a true hunting role. You will engage customers before they have a defined project, develop customer-specific points of view, create urgency around business and technical problems, work with technical experts to land first production workloads, and build a measurable new-logo business with broad ownership. The ideal candidate is a measurable enterprise hunter who is competitive, curious, technically credible, resilient, and able to sell business outcomes. Direct AI sales experience is valuable, but proven selling ability and technical curiosity matter more than a narrow “AI seller” title. Role and Responsibilities Build and execute a territory strategy for net-new customer acquisition. Prospect fearlessly across a broad account universe using proactive, persistent outbound, account-based, partner, and market-education motions; stay resilient and effective through rejection and ambiguity. Form account hypotheses, map the buying center, and earn first meetings with relevant points of view tailored to the customer. Engage executive, business, technical, security, and procurement stakeholders. Lead great business-first discovery, connect AI and data challenges to fundable goals, and build quantified ROI, TCO, or operational-impact cases. Build and develop champions, multi-thread the buying group, earn executive and economic-buyer access, and maintain stakeholder alignment; own the stakeholder plan, mutual action plan, close plan, value case, stage gates, forecast, and commercial outcome. Lead complex sales cycles through technical validation, security, legal, procurement, negotiation, and close. Partner with Solutions and Forward Deployment Engineers and cross-functional teams to validate technical fit and establish the first production workload. Navigate competitive displacement and maintain disciplined activity management, CRM hygiene, reporting, qualification, forecasting, and opportunity management; showcase clear metrics such as pipeline created, meetings, conversion, quota attainment, and new-logo performance. Be AI fluent: use AI and research tools productively and responsibly while applying judgment, validating outputs, and separating facts from hypotheses. Travel within the assigned territory as required. Required Skills and Experience 5+ years of quota-carrying B2B enterprise software sales experience, ideally selling to large or technically sophisticated organizations; experience in data, cloud, analytics, AI, or adjacent technical domains is a plus. Repeated, quantified quota success with clear ownership of new-logo wins and self-sourced pipeline. Experience closing complex, multi-stakeholder deals involving executives, technical evaluators, security, legal, finance, procurement, and partners. Ability to sell measurable business outcomes and build ROI, TCO, or operational-impact cases. Technical fluency in an adjacent domain such as databases, data infrastructure, analytics, AI/ML, cloud, Kubernetes, developer tools, cybersecurity, observability, or open-source software. Strong qualification, account planning, forecasting, CRM, negotiation, and deal-management skills. Learning velocity and coachability, demonstrated through specific behavior change after feedback; ability to explain technical concepts clearly to technical and executive audiences. Executive presence, customer trust, resilience, intellectual honesty, and excellent communication skills. B.A., B.S. degree or equivalent in a related field. Experience with Fortune 500 or security-sensitive organizations, cloud ecosystems, open-source or consumption-based products, or emerging categories is preferred. (SLS00335)Remote-US To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company. SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses. SingleStore’s base salary range for this role is $90,000 to $150,000 with annual target earnings of $180,000 to $300,000 at quota with significant accelerators for overperformance. For candidates residing in California, please see our California Recruitment Privacy Notice . For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice.

Location: Northeast Region COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting.   ROLE DESCRIPTION As an Principal Account Executive, Pharma you close deals by understanding the customer, understanding the product and making magic happen. Who knew? You’ll be responsible for owning some of Tennr’s largest and most strategic pharmaceutical accounts. You’ll bring your experience selling into Pharma to the table, helping us understand how these organizations buy, how to navigate them, and what it takes to win. The Tennr product is great, but people are stubborn and tend to not talk to strangers. To help, we’ve got a team of SDRs working to help you generate opportunities. Also some pretty crafty marketing initiatives (the Tennr Taco Truck really means something to pharma companies in Texas). If you’re good, you’ll get paid an egregious sum, so in exchange, you have to own the whole sales cycle from discovery to close, and keep a tight process along the way. You’ll negotiate pricing. You will never sell what you wouldn’t buy. You must deeply care about your customers and the craft of sales. And since the product is loved, you’ll love selling it. You’ll have to hit quotas of course. Wouldn’t be much fun otherwise.   RESPONSIBILITIES - Account Planning: As an enterprise rep it is your responsibility to understand your patch of accounts better than anyone at the company. You, along with your manager & the drugs team, will be responsible for mapping out the accounts that fit our ICP, the key contacts associated with them, and your hypothesis around the value we can provide. It’s your job to test and iterate your perspective throughout an evaluation process. - Pipeline Management: Use Tennr’s sales process to manage your pipeline. It’s not just putting deals into our CRM, but understanding the reality and risks of the deal based on the exit criteria associated with deal stages in our sales process. When you’re stuck, you proactively ask for help. - Collaboration: Deal team culture is central here. You will work closely with Sales Development Representatives (SDRs), Sales Engineers, Professional Services, Tennr Leadership and channel partners to build, advance and close opportunities. Lone-wolves need not apply. - Client Relationships: You are responsible for forming a relationship with the customer, renewing that customer, and cross-selling into that customer.   CANDIDATE QUALIFICATIONS - 7+ years of software sales closing experience preferred, with experience selling complex solutions into pharmaceutical organizations - No less than 1 year of enterprise sales experience - Experience in healthcare technology solutions is a plus - Experience owning and closing large, strategic pharmaceutical accounts - Existing knowledge of the pharmaceutical ecosystem and how large manufacturers evaluate and purchase new technology - Demonstrated intellectual capacity: this candidate must be able to understand the underlying technology and be able to collaborate with clients on how it fits into their business needs - Demonstrated motivation and hustle: a high-energy and fast-paced approach to problem-solving and taking initiative; past examples of demonstrating grit and entrepreneurial spirit a plus - Experience working in an early-stage environment is preferred; the candidate should understand how to operate effectively with limited resources selling new products - Demonstrated EQ and relationship-building: an approach to building relationships that gets to trust quickly. - Must be comfortable up to 10-20% domestic travel   WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure - Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals   BENEFITS - Unlimited PTO - 100% paid employee health benefit options - Employer-funded 401(k) match - Competitive parental leave

Location: Boston; California; Pennsylvania; Florida; New York; Massachusetts; Virginia; Washington State; Colorado; New Jersey; Georgia; Texas Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. 🎯 Your main goal will be to turn n8n’s most strategic enterprise deployments into production-ready success stories by embedding on-site, solving real customer problems, and building reusable automation patterns that shape our product. To do so, you’ll work directly with customers, Deployment Strategists, and Product to make every engagement high-impact, scalable, and repeatable: Drive high-impact enterprise deployments Embed on-site with enterprise customers for focused 5-day deployment engagements, arriving with a hypothesis and leaving with production workflows in place. Partner closely with Deployment Strategists to align technical execution with customer priorities, stakeholder needs, and adoption goals. Build trust with technical and non-technical stakeholders by turning complex customer environments into clear, actionable solutions. Build production-grade automation solutions Design and build workflows, integrations, and custom nodes tailored to each customer’s environment and scalable beyond the initial use case. Extend existing n8n nodes or add missing functionality where needed to unlock high-value enterprise use cases. Translate ambiguous business problems into concrete automation designs that prioritize real customer value over technical complexity. Work across industries and tech stacks, getting productive quickly in new environments. Bridge customer needs with Product and Engineering Identify when a bespoke customer requirement should become a reusable node improvement, product feature, or platform capability. Create a clear feedback loop with Product and Engineering by documenting technical gaps, customer context, implementation learnings, and prioritization signals. Contribute reusable learnings, workflows, custom nodes, and integration patterns to an internal playbook library. Turn customer learnings into product and playbooks Identify when a bespoke customer requirement should become a core product feature and document it clearly for Product. Contribute reusable learnings, workflows, and patterns to an internal playbook library. Help ensure every engagement makes the next one faster, stronger, and more productized. Keep engagements focused and scalable Deliver time-boxed customer engagements with clear outcomes, rather than open-ended professional services work. Build solutions that customers can own and operate themselves. Know when to build, when to simplify, and when to push back to avoid unnecessary complexity. REQUIREMENTS Must-haves 🧑‍💻 Strong engineering background: You have solid full-stack or backend engineering experience and have built integrations, APIs, or automation pipelines in production environments. 🧩 Integration-building expertise: You can create custom nodes, extend existing integrations, and work confidently with APIs, authentication patterns, data models, and event-driven systems. 🔧 Product-minded technical execution: You can distinguish between a one-off customer workaround, a reusable node improvement, and a product feature worth escalating. 🤝 Customer-facing confidence: You’re comfortable working directly in customer environments and can build trust with engineers, operators, and non-technical stakeholders. 🗺️ Solution design skills: You can take a messy operational problem and turn it into a clean, practical technical design. ⚖️ Strong technical judgment: You know when to build, when to push back, and how to avoid gold-plating solutions that should stay simple. ✈️ Willingness to travel: You’re open to travelling roughly 30-50% of the time for on-site engagements. ⚡ Speed to productive: You can quickly understand new industries, tech stacks, and customer environments without needing everything to be neatly defined. Nice-to-haves 🔁 Workflow automation experience: You have familiarity with n8n or similar workflow automation tools. 🏢 Enterprise deployment experience: You’ve worked with strategic enterprise accounts in complex technical environments. 🧱 Node or connector development: You’ve built custom nodes, connectors, plugins, SDKs, or reusable integration frameworks. 🚀 Forward deployed experience: You’ve worked in a forward deployed, solutions engineering, or similar role at a product-led technical organization. 📣 Product feedback experience: You’ve helped turn customer learnings into clear product feedback, roadmap input, or engineering specifications. Why join us? At n8n, you’ll be the founding Forward Deployed Engineer, helping define how we turn our largest enterprise deployments into long-term, referenceable success stories. Your work won’t sit in a demo environment — you’ll build production workflows with real users, influence our product roadmap, and create the playbooks that shape how this function scales. You’ll join one of Europe’s fastest-growing startups at a moment of huge momentum, working with a remote-first team that values autonomy, speed, experimentation, and direct customer impact. Sound like a challenge you’re excited to take on? Apply now — and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: San Francisco, United States Workplace: hybrid As, an Account Executive at Sokin, you will act as the initial point of contact for prospective corporate clients across the mid-market and enterprise segments. You will be responsible for sourcing, qualifying, and engaging high-value opportunities, building a strong pipeline that supports long-term client relationships. This is a high-impact commercial role designed for an ambitious individual looking to develop into a future sales leader. You will gain strong exposure to SOKIN’s suite of solutions; including global payments and receivables, FX, and treasury management and work closely with sophisticated businesses to support their cross-border financial needs. You will be equipped with best-in-class tools, and a proven sales playbook to enable success. About Us Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business - so businesses thrive wherever they choose to grow. We deliver services across: • Global payments and receivables • Foreign Exchange (FX) • Treasury management • Finance reconciliations We are rapidly expanding, with established presence in EMEA, APAC, and North America, backed by a strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide. Our clients span industries from sports and entertainment to logistics and travel, and our community is growing rapidly. As we continue to expand, we’re building a team of exceptional people who share our ambition to transform the future of global payments. Role & Responsibilities Strategic New Business Growth: Develop and execute a strategic new business development plan to drive revenue growth, market share expansion, and achieve organizational objectives through the acquisition of new logos to the business. Identify new market opportunities and stay informed about emerging trends and technologies in the remittance industry. Market Analysis and Competitive Intelligence: Conduct in-depth market analysis, competitor benchmarking, and customer feedback analysis to identify business opportunities and gain a competitive edge. Translate market insights into actionable strategies and tactics to drive business growth. Customer Acquisition and Retention: Oversee customer acquisition strategies to expand our customer base and increase brand loyalty. Implement customer retention initiatives and ensure exceptional customer service to maximize customer satisfaction and recurring business. Financial Performance and Reporting: Develop and manage budgets, forecasts, and financial models to support business development initiatives. Monitor financial performance, analyse variances, and provide regular reports to senior management. Requirements Minimum 6+ years of progressive experience in business development within the remittance or financial services industry, with a proven track record of achieving business objectives Strong understanding of remittance market dynamics, regulatory compliance, and industry trends. Proven track record of building a pipeline within sectors and converting those connections into new business. Exceptional negotiation, communication, and stakeholder management skills. Ability to think strategically, analyse market trends, and make data-driven decisions. Excellent communication and interpersonal skills, with the ability to build rapport and influence key stakeholders, both written and verbal/over the phone/via email. Previous experience working in a FinTech/Start-Up environment Payments/Remittance market in a business development or sales role, preferably in the remittance industry is preferred but not essential. Proven ability to identify and generate new business opportunities, resulting in increased revenue and growth. Self-motivated, proactive, and results-driven mindset with a strong spirit. Ability to work collaboratively within a team environment, as well as independently. Bachelor's degree in Business, Marketing, or a related field. Please note, candidates will need to have the right to work in the jurisdiction that they are looking to work in. Sokin is an equal opportunities employer and committed to maintaining an inclusive work environment. As a growing global startup with bases across multiple countries, we were established on and continue to promote an agile, flexible working culture. Please reach out to discuss any accommodations you may require during the recruitment process.

Location: Ireland, Dublin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Integration Engineer Job Description We are seeking an experienced Integration Engineer to join our enterprise integration engineering team at PlayStation. We are responsible for delivering reusable, scalable, and loosely coupled integrations that simplify and automate business processes, improving user experience and data quality across the enterprise. As an Integration Engineer, you will design, develop, maintain and support integration solutions using MuleSoft and SnapLogic platforms. You will work across a wide range of integration use cases, applying modern integration patterns and best practices to connect systems across SaaS platforms, AWS-hosted COTS applications, cloud-native services, and bespoke on-premise systems. Working closely with global engineering and business teams across multiple time zones with a high degree of ownership and limited supervision. You will have strong and demonstrable experience of industry-standard integration design patterns and approaches, including implementing API-based real-time integrations, event-driven and pub-sub architectures, asynchronous request-response, and batch/data integrations patterns across multiple integration platforms. What you'll be doing: Integration Architecture & Design Produce and maintain high-quality integration designs (HLDs and LLDs) addressing both functional and non-functional requirements. Select and apply appropriate integration patterns (real-time, event-driven, pub-sub, asynchronous, batch) based on business and technical requirements. Ensure the designs are clearly documented, socialised with the relevant stakeholders, and capture the rationale for integration design decisions. Define API specification and integration contracts, implementing a scalable, secure, and reusable integration solution aligned to enterprise standards (e.g. security) Identify risks, issues, and constraints, and communicate them timely and effectively to the stakeholders. Actively contribute to the integration teams best practices and design patterns maturing the teams design and delivery processes. Integration Development Participate in Agile/Scrum delivery activities including sprint planning, estimation, and implementation. Develop, test, deploy, and support integration solutions using MuleSoft and SnapLogic, following established SDLC and DevOps practices Implement integrations across enterprise environments, including SaaS platforms, AWS-hosted applications, cloud-native services, and on-premise/bespoke systems Implement CI/CD pipelines, automated testing (e.g. MUnit or equivalent), and release management processes. Ensure integrations are secure, scalable, resilient, and observable, including logging, monitoring, error handling, and performance optimisation Leverage AWS-native messaging and eventing services (e.g. SQS and SNS) to support decoupled and event-driven integration architectures Collaborate with product managers, architects, and engineering managers and teams to deliver end-to-end integration solutions Work with core capabilities of integration platforms, including API management, gateway policies, runtime and deployment environments, data transformation, connectors/adapters, and orchestration/pipeline frameworks across MuleSoft and SnapLogic Drive reuse, standardisation, and continuous improvement across integration solutions and platform usage. Support production deployments, incident resolution, and root cause analysis activities. Participate in on-call and production support rotations. Work with globally distributed teams across US and Japan time zones. What we're looking for: 10+ years of experience of designing and delivering enterprise integration on one or more integration platform (e.g. Informatica, Dell Boomi, OSB, or similar) 5+ years of experience of hand-on integration design and development experience on MuleSoft and/or SnapLogic. MuleSoft and/or SnapLogic certification. Experience with AWS SQS and SNS. Experience with GitHub Actions, Jenkins, Maven, ReadyAPI/Postman. Exposure to emerging integration approaches such as MCP Servers and agentic based integrations is desirable. Skills Strong problem-solving and analytical skills. Strong communication and collaboration skills. Ability to work independently and within globally distributed teams. Ability to quickly learn and adapt to new integration technologies and platforms. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. €87.800 — €131.800 EUR Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Dublin Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building a best-in-class go-to-market engine, and we're looking for a GTM Systems Administrator to join the GTM Systems team and help scale the systems that power both our pipeline and our customer experience. You'll take on a variety of projects across the full GTM lifecycle, from how we source, enrich, and route leads at the top of the funnel to how we support and engage customers through Zendesk and our Customer Success platforms. This is not a traditional RevOps or Salesforce admin role: we expect this person to work AI-first, using AI tools and agents to build, automate, and maintain systems that would traditionally require engineering support or manual admin work. Reporting to the Head of GTM Systems, you'll partner closely with Sales, Marketing, Support, and Customer Success to translate business needs into scalable, reliable systems that directly drive revenue and retention outcomes. WHAT YOU'LL DO - Work across a variety of projects on the GTM Systems team, with some sprints focused on top-of-funnel growth and others on support and customer success tooling, flexing to where the business needs you most. - Design and improve top-of-funnel systems including lead sourcing, enrichment, scoring, and routing, building enrichment workflows in Clay and across data providers (ZoomInfo, Cognism, Apollo, Clearbit, etc.) to power inbound and outbound pipeline. - Configure and optimize Zendesk as Harvey's primary support platform (ticket routing, triggers, automations, macros, SLA policies, agent workspace) and support adjacent CS platforms like Catalyst. - Contribute to Salesforce configuration across the funnel, including lead routing, scoring, lifecycle stages, and automation (Flows, validation rules, custom objects), and how data flows across Salesforce, marketing automation, support, and enrichment tools. - Use AI as a default working method: build and maintain AI agents, automations, and workflows (AI triage, copilots, agent-based enrichment, LLM-powered data quality checks) to eliminate manual admin work and extend what the systems team can ship without engineering support. - Integrate GTM and CS tools with Harvey's broader ecosystem (CRM, product data, internal tools, communication platforms) to ensure a unified view of the customer, and build reporting and dashboards that provide visibility into pipeline conversion, support performance, and customer health. - Maintain high data quality and compliance through deduplication, normalization, enrichment governance, and consent/opt-out handling, and document system architecture, workflows, and processes so everything scales as the company grows. WHAT YOU HAVE - 4-8+ years of experience in GTM Systems, RevOps, Growth Ops, Support Ops, or similar roles. - Strong proficiency in Salesforce (data modeling, Flows, lead routing, account hierarchy, reporting) plus hands-on experience administering Zendesk (routing, automations, triggers, SLA policies), or deep expertise in one with proven ability to ramp fast on the other. - Hands-on experience with Clay and at least one major enrichment/data provider (ZoomInfo, Cognism, Apollo, Clearbit, etc.), and experience with marketing automation platforms (Marketo, HubSpot, or similar). - Demonstrated AI fluency: you already use AI tools (Claude, ChatGPT, Clay AI, Zendesk AI, or similar) to build workflows, automate admin tasks, draft configurations, and troubleshoot, and you can point to concrete things you've shipped this way. - Strong systems thinking, with the ability to design and debug end-to-end data flows across tools, spanning both reactive support workflows and proactive growth motions. - A collaborative, team-first working style: comfortable operating in a pod, picking up varied projects, and working cross-functionally with Sales, Marketing, Support, Customer Success, and Operations. Highly organized and documentation-oriented, with a focus on scalable, maintainable systems. BONUS - Experience with Customer Success platforms (Gainsight, Catalyst) or Zendesk certification(s). - Experience building integrations using APIs, webhooks, or iPaaS tools (Workato, Zapier, MuleSoft), or integrating GTM systems with data warehouses (Snowflake, BigQuery). - Experience building or deploying AI agents in production (e.g., agentic prospecting, AI ticket triage, health-score automation) - Working knowledge of SQL and/or scripting (Python, JavaScript) for data workflows. - Background in high-growth or early-stage environments where systems are built from the ground up. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-SH1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building distributed and scalable systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities: Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Stand up and run deployments of those monitoring systems across multiple clouds, including inside cloud-provider partner environments where data residency laws apply. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting Design and harden the sandboxed runtime that AI agents execute in: isolation, network egress controls, least-privilege data access, audit logging, and insider-risk controls Manage cost and capacity for large volumes of long-running agent work, and set and meet service-level objectives for the platform Partner with the engineers and researchers who write and evaluate the monitoring agents, and with security, privacy, and legal teams, so new detection work can ship quickly on a platform everyone trusts You may be a good fit if you: Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in Python, Distributed Systems, and Infrastructure as Code Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic Have built and operated large-scale, distributed infrastructure, such as data platforms, control planes, or job schedulers Have experience with sandboxing and isolation technologies (containers, microVMs, network policy) or with a systems language such as Rust Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position, not including internships Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency Have experience running LLM-based agents in production Have experience with integrity, spam, fraud, or abuse detection and mitigation 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: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Bremen, Germany Supervisor: Prof. Dr. Alexander Tormasov About the Position Constructor Knowledge Labs (CKL), in collaboration with Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal knowledge into production software through a pipeline of composable capability units called gears : requirements → architecture → product fit → framework (G1) → application → runtime. We are building a World Model over that pipeline — a model that does not just generate code, but predicts the consequences of an architectural decision: total cost of ownership, unintended side effects, latency and failure behaviour, and whether a proposed composition is even admissible. The central object is not a digital twin of the application but its formal architectural skeleton : gear contracts (GearSpec), a typed attributed hypergraph of the application (AppGraph), a composition algebra that defines which assemblies are legal, and several semantic projections (types, protocols, resources, security) over which properties are proved, refuted by counterexample, or reported as an explainable gap . All of it is written in a domain-specific language whose syntax trees and graphs we keep in a projectional editor (JetBrains MPS) — so the DSL is not a convenience layer, it is the thing that defines the model's state space and the boundary of what the model is allowed to propose. What you will work on Depending on your background, one or two of: Formal skeleton and composition — GearSpec as a contract $(Requires, Provides, State, Effects, Assumptions, Guarantees, Parameters)$; AppGraph as a typed attributed hypergraph; an algebra of assembly (sequential, parallel, feedback, refinement); semantic projections and system-level invariants over trajectories. Architecture synthesis as an inverse problem — given a specification, load and constraints, find the composition of gears that realises it. Constraint solving and MCTS as the baseline; a learned transition/value model for ranking and pruning; LLM proposals treated strictly as candidate hypotheses that a DSL parser, type checker and property checks must then admit or reject. DSL design and language engineering — the gear DSL and its glue layer decide which AppGraphs are expressible at all, and therefore where the search space ends. This thread covers the abstract syntax and static semantics of that DSL; the requirement that an architectural decision be unbypassable by construction (you must not be able to wire authentication around the Auth Resolver); what happens to the language when gear contracts change or a 201st gear is added; projectional representation of graphs with cycles; and the open hypothesis that a specialised G1-DSL is generated together with every G1. Local transition models and pipeline surrogates — fast approximate predictors for single pipeline steps (spec change → code quality, architecture → product fit, app → runtime outcome), with calibrated uncertainty, validated against real telemetry. Data — reconstructing (specification → architecture) pairs from open repositories at scale, plus synthetic project generation from a fixed gear set and DSL grammar to cover rare transitions, gaps and counterexamples. Profile MSc (or equivalent) in computer science, mathematics, or a mathematical natural science. Coursework in compilers, programming-language theory, language design or model-driven engineering is a strong positive signal, half of this project is deciding what a formal architecture description is allowed to say. Evidence that you finish things: a maintained open-source repository, a peer-reviewed publication, or a strong competition result. Fluent technical English. Most importantly: the habit of stating an assumption explicitly and designing an experiment that could falsify it. Required mathematical background Core skills: Probability and statistics. Estimation, Bayesian inference, uncertainty quantification and calibration (proper scoring rules, reliability diagrams, ECE), experiment design and significance testing. A prediction we cannot calibrate is not usable here. Linear algebra and multivariate calculus at the level needed to derive, not just call, a training objective: matrix calculus, gradients, stochastic optimisation, conditioning. Discrete mathematics and graph theory. Typed and attributed graphs and hypergraphs, subgraph matching and isomorphism, graph rewriting, reachability, basic complexity classes. Mathematical logic and formal methods. First-order logic, type systems, SAT/SMT, temporal logic (LTL/CTL) and model checking, pre/post-conditions, invariants, refinement. Sequential decision making. MDP/POMDP, dynamic programming, model-based RL, latent state-space (world) models, Monte-Carlo Tree Search. Strong command of at least one, working knowledge of a second: Formal languages, semantics and language engineering — grammars (context-free, attribute and graph grammars), derivation and reachability, parsing; abstract versus concrete syntax; operational and denotational semantics; metamodelling, model-driven engineering, model-to-model transformation, and projectional (structural) editing of the kind JetBrains MPS implements. We are asking for the education, not the tool: you should know why a projectional editor exists, what a metamodel buys you over a text grammar, and how a language evolves without breaking its existing models. Hands-on MPS experience is explicitly not required — we will teach it. Category theory for compositional systems — monoidal and traced monoidal categories, functors as semantic projections, string diagrams, operads. This is the language of our assembly algebra. Causal inference — structural causal models, do-calculus, counterfactuals, identifiability. Required for the "what happens if we replace this technology / move on-premises" class of questions, which similarity search alone cannot answer. Queueing theory and applied stochastic processes — M/M/1 and networks of queues, heavy tails, retries, timeouts, partial failure and reliability models. This is the resource and stochastic projection. Combinatorial optimisation, constraint programming and program synthesis theory — CEGIS, version-space algebras, symmetry breaking, search heuristics. Representation learning theory — VAEs and latent dynamics, GNN expressiveness (Weisfeiler-Leman hierarchy), permutation equivariance, embedding migration under a changing vocabulary. Required hands-on programming skills This is an engineering-heavy PhD. We expect code that another person can clone, run and reproduce — not notebooks that worked once. Must have: Python (professional level). Type hints, packaging, `pytest`, profiling, `asyncio`, memory-aware data structures. You write unbuffered, logged, restartable long-running jobs by default. Training loops written from scratch, custom datasets and collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL — message passing, heterogeneous and typed graphs, graph transformers, handling graphs whose node vocabulary changes between versions. Solvers and verification tooling driven from Python. Z3 or cvc5 hands-on; demonstrated exposure to at least one model checker (TLA+/TLC, SPIN, NuSMV, Alloy) or proof assistant (Lean, Coq, Isabelle). Code as data. AST manipulation, `tree-sitter`, static analysis, dependency and interface graph extraction, large-scale repository mining. Parallel data pipelines. `multiprocessing`, Ray or Dask; checkpointing, heartbeats, cost estimation before launching a run that touches millions of files. LLM engineering. API orchestration, structured and grammar-constrained decoding, evaluation harnesses, token/cost accounting — with the discipline to treat model output as a hypothesis subject to formal checks. Linux, git, code review, shell. Desirable: Language tooling you have actually used: ANTLR, Xtext, Lark, or a parser, type checker or interpreter you wrote yourself. Our internal representation of gear syntax trees and graphs lives in JetBrains MPS — again, we do not ask for MPS experience, only that you are comfortable reading and extending a metamodel; Java/Kotlin literacy helps once you get there. JAX, or compiler / SAT-SMT internals. Infrastructure literacy — Docker, Kubernetes, Terraform, OpenTelemetry/Prometheus — since the resource projection is calibrated against real deployment telemetry. One systems language (Rust, Go or C++) for performance-critical search. Prior experience with production software architecture, or with a brownfield system you had to change without breaking. Funding The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Location: Bremen, Germany Duration: 3 years, full time Start date: November 2026 Application package must include CV, including publications, code, or research projects. Cover letter (1–2 pages) explaining your motivation, research interests, and fit with the project. A link to code you have written. A one-page research statement picking one open research question from the project and sketching how you would approach it. Master’s and Bachelor’s degree certificate and transcripts. Contact information for 2–3 academic referees. Applications are reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Location: Stockholm Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? In this role, you will have ownership of the full sales cycle - from identifying leads to closing deals with Global 2000 across Sweden, Denmark and Norway in telecommunications, financial services, industrial manufacturing, energy and utilities, and healthcare and life sciences. Sovereignty and control over where data and models reside are growing priorities across these sectors, and Cohere is well positioned to meet that need with private, on-premise and in-country deployment built for enterprise scale. We’re looking for an approachable and compelling communicator who loves working with prospects to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them achieve their business goals. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across customer success, sales development, marketing, and solution architecture.   As a Senior Account Executive, you will: - Drive net-new customer acquisition across Sweden, Denmark and Norway via targeted outbound activity, executive introductions, and relationship building with key stakeholders - Own the full sales cycle – from initial outreach, technical and business validation, through deal close - Support coverage of adjacent Nordic accounts as territory priorities require - Generate and own your own pipeline through disciplined outbound, research and executive prospecting - Be a trusted advisor to customer prospects, deeply understand their challenges & goals, and tailor solutions to drive impact for their businesses - Leverage senior-level relationships with executives to drive strategic partnerships and sales opportunities - Align closely with our partners and systems integrators to drive shared revenue and extend reach into target accounts - Work cross-functionally across the business, drawing in the right technical and specialist colleagues as each engagement requires - Collaborate with Sales Development Representatives and Marketing to supplement your own top of funnel activity   You may be a good fit if you have: - Fluent in at least one Nordic language – Swedish, Norwegian or Danish – in addition to English; additional Nordic languages are a strong advantage - 10+ years of B2B enterprise sales experience with Global 2000 and large enterprise customers along with experience negotiating & closing transformational 7-figure deals - Depth in at least two of our priority sectors: financial services, telecommunications, energy and utilities, manufacturing, healthcare and life sciences - A hunter mentality - you take pride in generating your own pipeline and are at your best when building a territory rather than managing an inherited one - A proven track record of high performance and exceeding quotas - Experience building and maintaining senior-level relationships with executives - Experience working alongside channel partners and systems integrators to drive sales cycles and hit shared revenue goals - Excellent communication skills - you are a great listener, have a knack for understanding what matters most to others & building strong relationships, experienced presenting to a C-suite audience, and feel comfortable speaking to both technical and non-technical customer prospects   Additional Requirements: - Experience selling complex enterprise level solutions, technical products, and private or on-premise deployments (AI/NLP solutions preferred) - Familiarity with European data residency, sovereignty and regulatory requirements as live buying criteria - High tolerance for ambiguity - this is an early-stage territory without an established local playbook, and you'll need to be both a doer and a strategist - Creativity - deal structures can widely vary, strong technical acumen and the ability to creatively structure mutually beneficial partnerships are necessary FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: GE; PL Workplace: remote Overview: SOFTSWISS is looking for an Incident Response Analyst to join our on-call incident response team. In this role, you will respond to and investigate security incidents across the company, coordinate incident response with relevant teams, and help ensure timely and effective resolution of incidents . Key responsibilities: Participation in security incident response Performing basic primary incident response measures/triage Execution (and monitoring of execution) of tasks assigned based on planning results Development and updating of playbooks for alert verification Monitoring alerts in compliance with SLA Submitting proposals for optimizing tools and processes used The position operates on a 2-on-2-off shift pattern, encompassing a 12-hour day shift, a 12-hour night shift the next day, and 2 free days after that Required Experience: Basic indicator of compromise (IoC) analysis skills using publicly available tools (VirusTotal, AnyRun, etc.) Experience working with Splunk/Clickhouse/SQL at the level of writing simple search queries and interpreting results Experience working with SOAR/IRP General understanding of current cyber threats and main attack methods Basic programming skills in Python, PowerShell, or Bash for automating routine tasks Knowledge of operating systems (Linux/Windows) at a junior system administrator level Understanding of the MITRE ATT&CK framework and Cyber Kill Chain Ability to analyze and process large volumes of data, including logs and triage Strong communication and teamwork skills: able to clearly articulate thoughts, ask relevant questions, and effectively collaborate with colleagues across different teams, especially during incident response Analytical and flexible mindset: able to approach issues from different perspectives, build logical chains, make informed decisions, and independently suggest solutions Proactivity and ownership: takes responsibility for decisions and results, double-checks own work, learns from mistakes and feedback, and actively develops professional skills Nice to have: Knowledge of information security best practices (NIST, ISO) and ability to cite them when necessary Basic knowledge of Docker and Kubernetes, understanding their monitoring features Experience writing correlation rules in SIEM Experience with NTA (Network Traffic Analysis) tools Experience working with online reputation services (VT, AnyRun, IPAbuseDB, etc.) Experience developing instructions for alert verification and/or writing information security incident response scenarios Experience with Kafka, ELK, Graylog, etc Strong Linux system administration experience Expertise in network, host, and cloud-based analysis and investigation A strong understanding of attack pipelines (MITRE ATT&CK Framework, Cyber Kill-Chain) Familiarity with CI/CD, software development lifecycle, and Infrastructure-as-Code (Terraform/Ansible/etc) Proficiency in automation (Bash/PowerShell, Python) Experience with log collection, delivery, and normalization Strong knowledge of open-source solutions for endpoint & infrastructure security, such as Audit.d, Sysmon, AppArmor, SELinux, etc Fundamental static and dynamic malware analysis skills Offensive experience (penetration testing, red teaming) Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

Location: California (remote); San Francisco Bay Area (remote) Workplace: Remote About Us Axelera AI https://www.axelera.ai is not your regular deep-tech company, we design AI inference silicon spanning edge and enterprise deployments, built on a low-power architecture that delivers strong performance-per-watt from embedded devices up through large-scale inference infrastructure. We're building out our US presence to bring this technology directly to the American compute buyers who feel power and TCO constraints most acutely: hyperscalers, neoclouds, and frontier model vendors. Our product line spans today's shipping edge inference platforms through our next-generation architecture purpose-built for large-scale inference economics, and we're scaling our Americas commercial team to land it with these customers. We are creating the next-generation AI platform to support anyone who wants to help advance humanity and improve the world around us. In just five years, we have raised a total of $450 million and built a world-class team of 250+ employees (including 60+ PhDs with more than 40,000 citations). While headquartered at the High Tech Campus in Eindhoven, Netherlands, we are investing heavily in growing our footprint across the US to be close to the customers and partners driving the next wave of AI infrastructure. Our commitment to innovation has firmly established us as a global industry pioneer, and the US is central to that next chapter. Are you up for the challenge? Position Overview We're looking for a (Senior) Director of Sales to own new business and account growth across hyperscalers, neocloud/inference-as-a-service providers, enterprises, and frontier AI labs in the Americas. This is a hands-on, quota-carrying role for someone who has sold complex semiconductor or compute infrastructure before and knows how to navigate long, technical, multi-stakeholder sales cycles - from technical evaluation through capacity commitment and deployment at scale. These deals rarely fit one route to market cleanly - a direct relationship with the buyer, an OEM/ODM layer building the physical systems, and the buyer's own supplier qualification process are usually all in play at once. You need to understand how those pieces interact, not just have experience in each individually. Success in this role depends on relationships you already have - decision-makers and technical buyers at target accounts who will take your call on day one. Key responsibilities: - Own and grow a book of business across hyperscalers, neocloud/inference-as-a-service providers, enterprises, and frontier model vendors in the US - Manage complex, technical sales cycles involving infrastructure engineering, procurement, capacity planning, and executive stakeholders - Navigate the layered routes to market inside each account - direct commercial relationship with the buyer, the OEM/ODM partners who build and integrate the physical systems, and any channel or qualification process the buyer runs for compute suppliers - Translate technical differentiation (power ceiling as revenue ceiling, performance-per-watt, TCO versus incumbent GPU/accelerator options) into commercial outcomes at hyperscaler and neocloud scale - Identify and close capacity commitments and design-in opportunities, from technical evaluation through deployment - Build and manage a qualified pipeline, forecast accurately, and report progress through Salesforce - Represent Axelera at industry events, customer visits, and technical reviews - Partner closely with product, field applications engineering, and marketing to shape go-to-market strategy for new silicon launches - Create, negotiate, and drive contracts through to close, working with legal and finance as needed Qualifications: - 10–15+ years of semiconductor or compute infrastructure sales experience, with a track record selling to hyperscalers, neoclouds, enterprises, and/or frontier AI labs - Fluency in how routes to market layer within a single account - direct commercial ownership of the buyer relationship, working through or alongside OEM/ODM system builders, and understanding any channel/qualification process the buyer runs — not just experience running separate direct, channel, and OEM motions in isolation - Existing relationships with US hyperscaler, neocloud, or frontier model vendor buyers - infrastructure, procurement, or technical leaders evaluating customer inference silicon - that you can activate quickly - Experience selling technical products with long, capacity-driven sales cycles, ideally AI/ML accelerators, GPUs, custom silicon, or related infrastructure - Prior experience at a semiconductor chip company or hyperscaler, neocloud, enterprise, or frontier lab accounts -established or startup - Comfort operating in a fast-moving startup environment with limited internal infrastructure - Strong written and verbal communication skills; ability to translate deep technical concepts (power ceiling, TCO, performance-per-watt) for both engineering and executive audiences. Heavy use of AI skills and technology to drive efficiency in your role. - Willingness to travel regularly for customer visits and industry events What Success Looks Like in Year One - A qualified, forecastable pipeline built substantially from your own network across hyperscaler, neocloud, and frontier model accounts - At least one significant capacity commitment or design-in secured - Established presence at 2–3 key industry events representing Axelera Location This role is based in the Bay Area, CA. We currently offer a flexible remote setup, with the option to move to in-office work in the future as we establish our Bay Area office. What we offer  This is your chance to shape and be part of a dynamic, fast-growing, international organisation. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares.    An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team.  At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI. Axelera AI may at times work with external parties (such as recruiters, headhunters, or executive search firms) to support both publicly posted and confidential searches. Our hiring process never involves any payment from candidates, and we will never require you to use a particular paid service to be considered for a role. If you have been approached by someone on our behalf and want to confirm it’s legitimate, please contact us directly at careers@axelera.ai.

Location: St. Petersburg, Russia; Moscow, Russia; Belgrade, Serbia Workplace: remote At NOVACARD , we’re redefining how people use credit. We are the first interest-free and no-annual-fee credit card in Mexico , designed to simplify personal finances and give users complete control - all from a mobile app. With NOVACARD, users can access up to $200,000 MXN in credit , only pay when they use it, and manage everything digitally in under 5 minutes. Our mission is to empower people to make smarter financial decisions by offering flexibility, transparency, and the freedom they need to reach their goals. Simple finances, big goals. About the Role: We’re looking for a DevOps Engineer to design, deploy, and operate AWS infrastructure for a large-scale migration of a digital financial product. You’ll build and maintain a production-ready platform covering AWS networking, Kubernetes/EKS, CI/CD, observability, backup/restore, and secure access management. You’ll collaborate closely with development, system analysis, QA, and engineering teams to ensure fast delivery, stable services, and a controlled migration. Key Responsibilities: AWS Infrastructure Design & Operations Design, deploy, and maintain AWS infrastructure: VPC, Subnets, Route Tables, Security Groups, IAM, EC2, EBS, S3, ELB/ALB/NLB, Route53. Configure AWS networking: public/private subnets, NAT Gateway, Internet Gateway, VPC Peering / Transit Gateway, VPN, routing. Ensure HA, backup/restore, disaster recovery, and production infrastructure principles. Create and maintain AWS infrastructure as code using Terraform. Kubernetes & Containerization Build and operate Kubernetes on AWS (EKS). Work with core Kubernetes objects: Deployment, StatefulSet, DaemonSet, Service, Ingress, ConfigMap, Secret, Job/CronJob, PVC/PV, Namespace, ServiceAccount. Use Helm for application management. Configure Ingress Controller, Load Balancer, and TLS/certificates. Understand Kubernetes storage and ensure stateful applications run reliably. Work with Docker: image builds, registry, container troubleshooting. CI/CD & Automation Build CI/CD processes, preferably with GitLab CI. Automate deployment of applications and dependent services. Integrate infrastructure changes into pipelines and maintain reproducible environments. Observability, Reliability & Operations Set up monitoring with Prometheus + Grafana: metrics and alerts. Organize centralized log collection and analysis: Loki/ELK/OpenSearch. Diagnose network and system issues in Linux. Ensure production stability, respond to incidents, and eliminate root causes. Security & Access Management Manage secrets: AWS Secrets Manager / Vault/OpenBao / External Secrets. Configure RBAC/IAM and follow the principle of least privilege. Ensure secure service-to-service communication and infrastructure access. Data & Services Support PostgreSQL, Redis, RabbitMQ/Kafka at the infrastructure and application integration level. Ensure backup/restore and fault tolerance for stateful services. Help teams deploy and maintain dependent services in Kubernetes. Key Requirements: AWS & Networking Strong AWS experience: VPC, Subnets, Route Tables, Security Groups, IAM, EC2, EBS, S3, ELB/ALB/NLB, Route53. Good understanding of AWS networking: public/private subnets, NAT Gateway, Internet Gateway, VPC Peering / Transit Gateway, VPN, routing. Kubernetes & Containers Hands-on experience building and operating Kubernetes on AWS (EKS). Understanding of core Kubernetes objects: Deployment, StatefulSet, DaemonSet, Service, Ingress, ConfigMap, Secret, Job/CronJob, PVC/PV, Namespace, ServiceAccount. Experience with Helm. Experience configuring Ingress Controller, Load Balancer, and TLS/certificates. Experience with Docker: image builds, registry, container troubleshooting. Understanding of Kubernetes storage and stateful application operation. IaC & CI/CD Terraform — creating and maintaining AWS infrastructure as code. Experience building CI/CD, preferably GitLab CI. Data, Queues & Storage Experience with PostgreSQL, Redis, RabbitMQ/Kafka at the infrastructure and application integration level. Understanding of HA, backup/restore, disaster recovery, and production infrastructure principles. Monitoring, Logging & Secrets Monitoring: Prometheus + Grafana, configuring metrics and alerts. Centralized log collection and analysis: Loki/ELK/OpenSearch. Secrets management: AWS Secrets Manager / Vault/OpenBao / External Secrets. Linux & Security Linux administration and confident diagnosis of network and system issues. Experience configuring RBAC/IAM and following the principle of least privilege. Especially Important Practical Experience: The engineer must be able to design an AWS network from scratch → set up EKS → deploy an application and dependent services → configure ingress/DNS/TLS → CI/CD → monitoring/logging → backup → hand over a production-ready infrastructure for operation. Nice to Have: Experience migrating lending systems or fintech products. Experience building CI/CD with GitLab CI. Hands-on experience with Vault/OpenBao, External Secrets. Experience with Kafka and stateful services in Kubernetes. What We Offer: Participation in a large-scale migration of a digital financial product. Work with a modern stack: AWS, Kubernetes/EKS, Terraform, CI/CD, Prometheus/Grafana. Close collaboration with development, system analysts, QA, and engineers. Opportunity to build a production-ready platform from scratch and hand it over to operations. Terms and work format — discussed individually

Задачи: — Искать и привлекать новых клиентов через networking, referrals, мероприятия и targeted outreach — Выстраивать отношения с C-level decision-makers — Презентовать консалтинговые услуги и выявлять потребности клиентов — Квалифицировать лиды и передавать тёплые контакты внутренней consulting-команде — Вести и развивать sales pipeline, регулярно делать follow-up — Отслеживать активность, статус лидов и конверсию — Представлять компанию на встречах, конференциях и профильных мероприятиях Требования: — Опыт в Sales / Business Development / Lead Generation / Client Acquisition в Forex, iGaming, Fintech, Payments или high-risk — Собственная сеть контактов среди брокеров, операторов, аффилиатов, PSP, fintech-компаний и других участников рынка — Умение вести переговоры и выстраивать отношения с C-level — Понимание банковских услуг, EMI, PSP, acquiring и crypto payments — Знание основ KYC/AML, compliance, onboarding и payment flows — Самостоятельность, коммерческое мышление и ориентация на результат — Опыт в консалтинге, финансовом или professional services — будет плюсом — Английский + русский — обязательно Условия: — Конкурентную заработную плату — Удобный офис в Лимассоле — Ежедневные завтраки и обеды в офисе — Возможности профессионального и карьерного роста — Формат работы: on-site, Limassol, Cyprus.

Location: New York Office Workplace: Hybrid The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate. Compliance Core builds and operates the platform that customers rely on to evaluate blockchain risk in real time and continuously monitor activity across billions of transfers. Our systems screen transfers and withdrawals, reassess exposure as new information arrives, aggregate risk at the user and organization level, and power datasets used by other teams and customers. We’re looking for an Engineering Manager to lead the team and shape the next generation of this platform. You’ll help decide what to evolve, rebuild, or retire, and sequence those changes while keeping our systems reliable for every customer. This role combines hands-on technical leadership with responsibility for the team’s growth, delivery, and operational health. In this role, you’ll: - Lead the platform’s modernization. Set technical direction with the team, make architectural trade-offs, and turn complex changes into incremental migrations with clear milestones and safe rollouts. - Stay hands-on. Review code, write and challenge design documents, contribute prototypes or targeted fixes, and work directly with engineers to resolve difficult technical problems and production incidents. - Build and develop the team. Hire exceptional engineers, set clear expectations, provide candid feedback, manage performance, and support career growth. Create an environment where people can challenge ideas, take ownership, and do their best work. - Own delivery with your partners. Work with Product and upstream teams to turn customer needs and industry changes into an executable roadmap. Make priorities, dependencies, and trade-offs explicit, and follow through on commitments. - Make production operations sustainable. Set standards for reliability, latency, throughput, and data correctness. Improve observability, testing, incident response, and on-call practices so the platform can scale We’re looking for candidates who have: - Experience building and operating high-throughput, event-driven distributed systems - Strong hands-on engineering judgment. You can work through implementation details, identify the real constraints in a design, and help the team make sound architectural decisions. - Experience managing engineers, including coaching, performance management, and career development, with evidence of improving both team effectiveness and engineering quality. - A track record of delivering complex technical initiatives across teams, breaking ambiguous problems into manageable steps, and balancing immediate customer needs with longer-term platform investment. - A collaborative leadership style: you welcome challenges, explain your decisions, and help engineers develop the judgment and ownership to lead work themselves. - Interest in blockchain and cryptocurrencies, or eagerness to learn. Nice to have: - Experience modernizing or migrating critical production systems while maintaining service continuity. - Familiarity with JVM services in production. - Experience operating customer-facing systems with strict latency and availability requirements. - Background in compliance, payments, fraud, or another regulated domain. - Blockchain protocol knowledge. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Задачи: — Проектировать и реализовывать масштабируемые, безопасные и высокопроизводительные решения Adobe Commerce (Cloud и On-premise). — Вести переход от core overrides к расширяемости вне процесса с использованием Adobe App Builder и API-first методологий. — Оптимизировать производительность backend, SQL-запросы и стратегии кэширования (Redis, Varnish, Fastly) для обработки больших пиковых нагрузок. — Разрабатывать и поддерживать современные frontend-решения с использованием Hyvä, PWA Studio или традиционного Luma, обеспечивая высокий Core Web Vitals score. — Строить и управлять сложными интеграциями с ERP, CRM и PIM системами через Adobe I/O Events и RabbitMQ. — Проводить тщательные code review, наставлять mid-level разработчиков и поддерживать высокие стандарты TDD и автоматизированного тестирования. Требования: — Опыт работы 5+ лет с Magento 2 / Adobe Commerce (включая B2B и Cloud editions). — Владение PHP 8.x, MySQL и специализированными поисковыми технологиями, такими как OpenSearch/Elasticsearch или Adobe Live Search. — Экспертные знания GraphQL, REST API и построения decoupled commerce решений. — Опыт работы с Tailwind CSS, Alpine.js (для Hyvä) или React (для PWA Studio). — Знакомство с Adobe Commerce Cloud (ECE), Docker и CI/CD пайплайнами (GitHub Actions/Bitbucket Pipelines). — Наличие сертификата Adobe Certified Professional/Expert/Master (Developer) является значительным плюсом. — Английский язык на уровне intermediate-advanced. — Локация в часовом поясе CET (+/- 3 часа). Условия: — Своевременные ежемесячные выплаты с гибкими опциями вывода. — Предсказуемый график работы: 8 часов в день. — До 24 дней гибких выходных в год без потери оплаты для full-time позиций через Proxify. — Долгосрочные удалённые позиции в ведущих компаниях. — Персонально подобранные вакансии без типичных рекрутинговых барьеров. — Единый процесс контрактации для множества возможностей без дополнительных оценок. — Стабильная оплата каждый месяц при работе через Proxify.