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Workplace: remote Requirements 3+ years of experience with Microsoft Dynamics 365 SCM Good understanding of supply chain management business processes Hands-on experience in configuring and customizing D365 SCM modules Experience in analyzing and optimizing business processes English proficiency at B2 level or higher Willingness to participate in a 24/7 on-call support rotation, including evening, night, weekend, and public holiday coverage Nice to have Microsoft Dynamics 365 certification Experience with other ERP systems Responsibilities Support and enhance existing Microsoft Dynamics 365 SCM solutions in production environments Analyze business requirements and identify opportunities for process improvements and system optimization Configure and customize D365 SCM modules according to evolving business needs Investigate and resolve functional issues, incidents, and user requests Perform root cause analysis and implement preventive measures to improve system stability and reliability Collaborate with business stakeholders, developers, and other teams to deliver system improvements and resolve defects Develop and maintain project and support documentation Conduct knowledge-sharing sessions and provide guidance to end users when required We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Compensation of medical costs English courses online Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Alexia hh@itransition.com

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that keep the company running and bring our work to customers. We’re looking for a Recruiter to join our Talent team based in London to own full-cycle recruiting of our G&A functions (Policy, Finance, Legal, People, and related areas). This is a full-cycle individual-contributor role for a strong recruiter who can run an excellent process end to end—sourcing, screening, managing stakeholders, and closing. You’ll partner with hiring managers across EMEA to understand what great looks like, build healthy pipelines, and deliver a candidate experience that reflects Anthropic’s values. You’ll work in a fast-moving environment where priorities shift, and you’ll have real ownership over the roles you run. We’re open to candidates whose strength is in G&A recruiting in your application, tell us where your experience is deepest across the functions. Key Responsibilities Own full-cycle recruiting for a portfolio of G&A roles across EMEA—from intake through offer and close Partner with hiring managers to scope roles, calibrate the bar, and build effective sourcing strategies Source and engage high-quality active and passive candidates, building diverse and competitive pipelines Run structured, rigorous, and candidate-centric interview processes that uphold Anthropic’s hiring bar Manage candidates through the process with clear communication and a great experience at every stage Collaborate with the broader Talent team, People Partners, and Compensation to structure offers and guide candidates to close Use data to track pipeline health and share insight that helps hiring managers make good decisions Minimum Qualifications 6+ years of full-cycle recruiting experience in G&A (Policy, Finance, Legal, People) with a focus on Policy hiring Demonstrated ability to recruit in the UK and European market, with familiarity with local talent dynamics and employment norms Track record of strong stakeholder partnership — building trust quickly with hiring managers in fast-moving environments Comfortable operating with ambiguity: willing to flex between functions and contribute to building something new rather than running an established playbook Proven ability to maintain quality under volume pressure — owns pipeline health, not just pipeline size Self-starter who can work with significant autonomy while staying tightly aligned with global strategy Genuine connection to Anthropic's mission and an understanding of why it matters in a recruiting context Preferred Qualifications Experience recruiting at a high-growth technology, AI, or machine learning company Experience recruiting across both G&A and GTM functions Experience hiring across multiple EMEA markets, including the UK and Ireland Familiarity with Greenhouse or similar ATS platforms Additional European language skills relevant to hiring across the region 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: £105,000 — £145,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Tasks & Responsibilities: — Develop and execute your strategic and tactical business plan to drive revenue in strategic named accounts assigned to you — Own the revenue number for your accounts: new customer acquisition, expand existing relationships and install base, define and land new strategic relationships — Provide thought leadership to customers and, when available, at industry events — Employ channel partners to grow adoption — Develop strong champions within your customers who actively advocate for Yubico — Coordinate with internal resources in a dynamically growing business to deliver an outstanding customer experience — When required work collaboratively to develop complex custom solutions Basic Qualifications: — Minimum 10+ years of experience in a similar role — Deep understanding and experience in selling technology to enterprise customers — Demonstrated ability to execute complex sales cycles with accuracy — Understanding of the Cyber Security and Identity & Access Management (IAM) marketplace, with demonstrated success selling authentication or security solutions at the enterprise level — Track record of overachievement via direct sales, through partners and SI’s — Comfortable having deep technical conversations with engineering/security professionals, and able to present at CTO, CIO or CISO levels — Located in the San Francisco Bay Area — This position is an individual contributor and field sales role Benefits: — Health coverage including dental and vision; 100% premium paid for employee and 85% for family — Retirement plan with 401K dollar per dollar match up to 6% with a cap of $6K/year and immediate vesting — Wellness reimbursement of $1,200 prorated based on start date — Yearly development stipend of $3,000 and mentorship program — 15 vacation days plus 10 holidays and 7 sick days per year — Paid parental leave: 8 weeks for all parents, birthing parents receive an additional 8 weeks (16 weeks total) — Commuter benefits if commuting to office Company and Culture: — Yubico is a global leader in identity security and creator of the YubiKey — Publicly traded on Nasdaq Stockholm with headquarters in Stockholm, Silicon Valley, and Singapore — Mission-driven company focused on securing the AI frontier and post-quantum cryptography — Values include simplifying products, thinking big, championing open internet, collaboration, and inclusion — Offers freedom and flexibility to work 100% remote or hybrid/onsite — Inclusive environment valuing diversity and equal opportunity Compensation: — Annual salary range $155,000 — $175,000 USD — Variable compensation $155,000 — $175,000 USD — On-target earnings (OTE) $310,000 — $350,000 USD Additional Information: — Equal opportunity employer — Does not accept agency resumes or referrals — Personal data used for recruitment and onboarding processes in compliance with privacy policies — Application via provided URL

Location: Sofia, Bulgaria Driving the next generation of wealth. Digital assets are redefining how wealth is created, used, and transferred. Since 2018 at Nexo, we have been building the future model of financial wealth - dynamic, accessible, and designed for a new generation of forward-thinking investors. But technology alone doesn’t drive progress. People do. We are a team of builders, strategists, analysts, creatives, and operators united by a shared mindset: advancement. We move fast, think long term, and take ownership. We challenge ideas, not people. We value clarity over noise and impact over optics. What makes Nexo different? We shape industry trends. We rethink how wealth works and build solutions that reflect that belief. That requires a certain kind of person. You will thrive here when you think independently and act decisively, take ownership without waiting for permission, and care deeply about quality, long-term value, and disciplined execution. The people who succeed at Nexo bring analytical depth, sound judgment, and resilience - but also curiosity and the drive to keep improving. This is an environment for people who want to lead, create, and elevate what already exists. If building what’s next excites you, you’ll feel at home at Nexo. Official website: nexo.com Your role: Work with AWS services day to day: IAM, networking, compute, storage, and managed data services. Manage Kubernetes/EKS clusters, including multi-tenancy, RBAC, workload isolation, and security hardening. Drive GitOps practices with FluxCD, covering multi-environment promotion and drift detection. Build and maintain CI/CD pipelines with Jenkins. Author and maintain Terraform modules, Helm charts, and ACK controllers. Manage networking and traffic with Linkerd (service mesh) and Kong (API gateway), across east-west and north-south patterns. Define and monitor SLOs/SLIs across Datadog and Prometheus/Grafana. Integrate code quality and security scanning into the pipeline. Work with event-driven architectures built on Kafka, AWS MSK, and Debezium. Write clean, maintainable automation in Bash, Python, and Groovy. How we work with AI AI is part of how we build, not an afterthought, and we expect engineers to use it daily. Our primary stack is Anthropic's Claude, used through Claude Code across pipelines, code quality, operational automation, debugging, and documentation. We care about using it well: knowing when to lean on it, how to verify its output, and how to keep quality and security high while moving faster. A solid understanding of LLMs and the wider AI ecosystem will help you make good architectural decisions as the technology matures, and we want people who are eager to push this further. What makes you stand out: You have 2+ years in a Platform or DevOps role where you owned the outcome, not just the ticket. You think in platforms, not pipelines. Golden paths, self-service, and reducing developer toil are your default frame. You have deep AWS experience and a track record of building cloud-native systems that hold up under pressure. You know your way around a packet. DNS, TCP/IP, TLS, ingress, service mesh, and zero-trust networking are not abstract concepts to you. You use AI naturally in your workflow, from pipelines to code quality to operational automation. You understand LLMs and the AI ecosystem well enough to make sound architectural decisions as they evolve. You're honest about where you're strong and curious about the rest. Nexo benefits: Competitive and rewarding remuneration package. Annual performance-based bonuses. Comprehensive Learning Hub for continuous growth. Hybrid work model: primarily office-based with scheduled home office flexibility. A dynamic and inspiring environment with cutting-edge projects. Career development opportunities in a global leader driving the next generation of wealth. Customizable personal benefits package. Wellness benefits include additional health insurance, all-access sports cards, team-wide sports activities, standing desks, and blue light glasses. Parking and public transportation cards at preferential rates, plus free electric bikes. Fresh fruits, snacks, and a well-stocked office kitchen. Regular department team buildings and company-wide team buildings.

Location: Malta Workplace: Hybrid ABOUT THE ROLE We are looking for a motivated and detail-oriented Junior Finance Specialist to join our finance team based in Malta. This is a great opportunity for an ambitious finance professional who is eager to develop practical experience within an international environment. You will work closely with the Finance team to ensure accurate financial data, support daily operations, and contribute to the company’s overall financial performance KEY RESPONSIBILITIES: • Assisting in the invoicing process and managing a portfolio of clients to ensure timely and accurate billing • Collaborating with the commercial department to address customer billing queries and issues • Monitoring outstanding invoices, following up with clients to ensure timely payments, and resolving any billing discrepancies • Performing bookkeeping of company transactions in Xero, including journal postings, accruals, and payment entries • Assisting in the preparation and processing of supplier payments and ensuring they are executed accurately and on time • Conducting bank reconciliations and reconciling other financial data • Supporting the Finance team in daily operations and month-end closing processes • Assisting in the preparation of financial reports and documentation for management review • Ensuring compliance with internal policies and accounting standards • Performing additional duties and ad hoc tasks as assigned by management REQUIREMENTS: • Based in Malta only • Previous experience in a finance and accounting role • Diploma in finance or equivalent is considered an asset but candidates with equivalent practical experience will also be considered • Good understanding of accounting and financial reporting principles and practices • Good communication and analytical skills • Confident user of MS Excel and Google Sheets • Experience with using Xero is considered an asset • Ability to work independently and handle multiple tasks efficiently • Strong attention to detail and accuracy PERKS AND BENEFITS: - Competitive Salary - Quarterly Bonuses - 24 days Annual Leave + Public Bank Holiday - Day off for your Birthday - Unlimited Paid Sick Leave - Hybrid work model and flexible schedule - Private Medical Insurance - Financial Support for Life Events - Professional Development Budget - International Exposure - Regular Company Events - *Benefits may vary depending on location and contractual agreement THE RECRUITMENT PROCESS: - HR Interview (30 minutes) - Test Task - Hiring Manager Interview (with Head of Finance & People Business Partner - 60 minutes) - Final Interview (with CFO - 60 minutes)

Location: Paris; New York; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud. Frontier models, developer tools, and now the compute to run them: the cloud is where Mistral's strategy comes together. Our customers in finance, healthcare, and the public sector run frontier models on our infrastructure, and the Cloud & Inference product team owns the products that make that possible: managed Kubernetes and GPU clusters, the pay-as-you-go inference APIs for our first-party models, and the fast-growing set of services around them. The portfolio runs on our own metal, in our own datacenters, backed by our own model research: the full stack under one roof. We are scaling toward a gigawatt of compute by 2030. Every layer of that build needs a product behind it: orchestration, storage, networking, serverless containers, training, and inference. The product team is small and the mandate is company-sized. As VP Product you will build the PM org this portfolio needs, set its strategy, and carry it to market with the GTM, marketing, and partnerships teams. The products you define are how Mistral's sovereign AI strategy meets its customers. THE ROLE We are hiring a VP of Product to own our cloud and inference portfolio end to end: the foundational systems that power Mistral's data centres, and the inference platform that brings the world's most advanced generative AI models to production. You will define the vision and strategy, and you will own the business results: adoption, revenue contribution, and gross margin. This is a broad mandate. You will build the product organisation and, as the business scales, bring in the stream leadership to delegate its parts. You will set the operating rhythm that lets a fast-moving org deliver with focus, and your remit grows with the portfolio: what you run hands-on in year one, you lead through others as the org grows. The portfolio runs in production today. The job ahead of you is the scale-up: a gigawatt of compute to fill, a product surface that keeps expanding, and a major new line of business to build on the foundation already in place. This is a highly visible role, with the opportunity to shape how Mistral's technology is adopted globally. WHAT YOU WILL DO - Strategy & vision. Define and evangelise the product vision, strategy, and annual goals for our Cloud and Inference products, aligned with customer needs, company objectives and market trends. - Go-to-market. Own adoption, revenue contribution, and gross margin. Partner with marketing and GTM teams on positioning, pricing and packaging, launch plans, and adoption strategy. - Team leadership. Build the product organization for these products: hire product managers and stream leads, set the operating cadence (quarterly product reviews, roadmap reviews), and develop PMs through clear growth paths. - Customer & market fit. Work directly with AI-native startups and enterprises running advanced AI workloads to drive product-market fit across the portfolio. - Delivery & execution. Partner with engineering leadership to build a world-class compute infrastructure and inference platform delivering high-performance, cost-efficient AI at scale, with reliability, SLAs, and cost-per-token economics as first-class product concerns. - Market & technology insights. Track the competitive landscape and emerging technologies across AI infrastructure and managed inference to inform product strategy and identify new opportunities. - Research & open source. Partner with research and engineering teams to turn emerging model architectures and advances in open-source inference into product opportunities that improve performance and efficiency. WHAT WE'RE LOOKING FOR - Extensive experience in tech and infrastructure, including significant time leading product organisations with a proven track record of bringing cloud infrastructure, large-scale distributed systems, or inference products to market. - You've scaled a cloud or inference product line to $1B+ in revenue: built the line, priced it, taken it to market, and owned the number. - Engineering background prior to moving into product management. - Proven people leadership: you've hired and developed senior PMs, grown the leaders under you, organised teams around clear stream ownership, and built durable operating cadences. - Fluency in the economics of the business: comfortable owning gross margin, unit economics, and the tradeoffs behind pricing and capacity. - Ability to align and inspire cross-functional teams without direct authority, and to communicate credibly with executives, engineers, and customers. - Low ego, high bias for action, comfort in ambiguity, and hands-on by instinct. We are scrappy: you write the strategy memo, then dig into the pricing model, the product spec, or the customer escalation yourself. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Taguig, National Capital Region Workplace: Hybrid Salmon Bank (Rural Bank) Inc., the banking arm of Salmon Group Ltd, is a technology-driven challenger bank in the Philippines operating under a BSP license. We combine the trust of a regulated financial institution with the speed and convenience of a modern banking experience. Here, product, risk, compliance, operations, technology, and customer experience work closely together to build and run a modern bank. We work with fewer layers, close collaboration, and a culture where every voice can make a difference. If you want to build reliable financial systems at speed, take on real operational complexity, and help raise banking standards across the Philippines, come build with us. ABOUT THE ROLE You'll own credit scoring across the full customer lifecycle — from application decisions to behavioral models that drive portfolio profitability. WHAT YOU'LL DO - Build and improve Application and Behavioral Scorecards that drive underwriting and collections decisions across live credit products. - Work within a regulated environment — prepare model documentation and defend modeling decisions to internal governance and external reviewers. - Collaborate with product, analytics, and engineering to translate model outputs into strategy changes and implementation specs. WHAT YOU'LL OWN - Own the full modeling cycle: data exploration, feature design, model build, validation, deployment specs, and post-production monitoring. - Track scorecard quality — AUC, KS, bad rate, stability index — and validate against real portfolio outcomes via NPV and backtesting. - Prepare model documentation and governance artifacts for regulatory review. - Shape credit strategy — your models directly influence approval, pricing, and collection decisions, not just inform them. WHAT MAKES YOU A STRONG FIT - 3+ years of hands-on experience building credit risk models — Application Scorecards and/or Behavioral Scorecards specifically (ECL/IFRS9-only experience does not substitute). - Experience with model audits, documentation, or regulatory review support. - Strong Python (pandas, scikit-learn) and SQL — you build models yourself, not just review others' work. - Experience covering the full lifecycle: data, feature engineering, validation, and production monitoring. WHAT WE OFFER WORK AND OWNERSHIP - Hybrid-first work environment with a modern office in Bonifacio Global City, Manila - Company-provided tools and equipment - Work with an international team combining global fintech experience with deep Philippine market knowledge - Direct access to decision-makers and a real voice in how we build for the Philippine market HEALTH AND TIME OFF - Medical insurance for you and your family - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity leave and up to 14 days of paid paternity leave LEARNING AND TEAM EXPERIENCE - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Developers and enterprises build on Claude through the Claude Platform. Our models are getting exponentially more intelligent, and our APIs and developer tools need to evolve just as quickly so developers can take advantage of that intelligence safely. We're hiring Engineering Managers to lead teams that build these APIs and developer tools. We are shipping APIs and infrastructure for building and running agents in production. These APIs ship alongside SDKs, docs, and tooling that developers (and agents!) utilize in order to build high quality integrations. These abstractions are backed by our identity, verification, and trust platform, which lets us scale access to Claude responsibly. Key responsibilities Lead a team of engineers to ship high quality work quickly, owning planning, prioritization, delivery, and operational health Partner with product to set your team's roadmap, and bring a strong point of view on what developers need Talk to customers directly and turn what you learn into engineering priorities Guide API design and architecture decisions for distributed systems that have to stay reliable as usage grows Work closely with Research, Safeguards, Security, and go-to-market teams to bring new model capabilities to developers safely Recruit, coach, and grow strong engineers Minimum qualifications You have experience managing high-performing software engineering teams shipping developer products, including hiring, coaching, and performance management You're product-minded and customer-oriented. You care about who uses what your team builds, and you've shaped roadmaps alongside product partners You've built and scaled distributed systems in production, and you have the technical depth required to guide architecture and API design You've led teams that ship quickly and hold a high quality bar You collaborate well across functions and can align teams you don't manage You care about Anthropic's mission and about developing AI safely Preferred qualifications Experience building agent infrastructure or products on top of LLMs Experience with identity, verification, access control, or trust and safety systems Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Developer Relations Manager for Claude Platform at Anthropic, you will lead the team responsible for how developers discover, onboard, build, and scale applications using the Claude Platform. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development, and ensuring our Platform is used responsibly across a diverse range of implementations. You'll set the vision and strategy for growing and engaging Claude Platform’s developer community. Your success in this role will directly shape Anthropic's growth trajectory and market position while ensuring our APIs are used to create safe, positive outcomes. Building strong relationships between our developer community and internal teams will be essential as we advance our mission of creating safe AI. Key responsibilities Set the Vision and Drive Strategic Impact Build and execute the strategy for how developers discover and grow their integrations on the Claude Platform Build and execute the strategy for content the team produces to educate developers on building high quality integrations on top of the Claude Platform Collaborate with product and engineering leadership to ensure developer feedback informs the roadmap Prioritize initiatives based on data, feedback, and the needs of both developers and Build and Lead a World-Class Team Pioneer the definition of what world-class developer relations looks like in this quickly evolving field Recruit, inspire and scale a high-impact developer relations team with global reach and representation across key markets Foster a collaborative culture that embodies Anthropic's values while driving innovation in how we engage developers Create and implement scalable processes that evolve as both the team and developer ecosystem expand Establish clear growth paths and development opportunities for team members that align personal advancement with delivering exceptional value Drive Alignment and Innovation Through Cross-Functional Leadership Act as an advocate for Claude Platform developer needs at Anthropic, translating developer feedback into strategic initiatives Collaborate with Research to translate AI capabilities into accessible educational resources Partner with Communications and Marketing teams to amplify developer success stories Ensure best practices for responsible AI use are adopted by developers building on the Claude Platform Minimum qualifications You have experience building and leading developer relations, developer experience, or technical product teams, with a proven track record of measurably growing developer ecosystems You're technically credible. You understand AI/ML and API concepts and translate complex technical ideas for various audiences ranging from individual developers to enterprise executives You have hands-on technical abilities. You’re capable of creating your own code demos, critically reviewing developer content for quality and best practices, and providing specific technical feedback that elevates the work of your team You have insight into developer psychology and behavior. You know how to reach developers through the right channels, build authentic affinity for products, and design education programs that drive meaningful adoption You're passionate about AI's potential and deeply committed to ensuring it's developed responsibly, with a genuine interest in AI safety and ethical considerations You're a collaborative leader who can influence across teams without direct authority, building strong relationships with stakeholders at all levels You have experience scaling teams in high-growth environments and can adapt quickly as priorities evolve Preferred qualifications Experience working specifically with AI developer platforms Public speaking experience at industry conferences and events Content creation experience (technical writing, video tutorials, etc.) Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $435,000 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: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As of May 2026, Claude authored more than 80% of the code we merge . In September 2026, we merged more than 30,000 changes per day . Writing a change is fast now, and the hard part is knowing what is correct and safe to ship. Platform Acceleration builds the internal tools that close that gap for Anthropic's product engineers, who own the Claude API, our SDKs, and the rest of the Claude Platform. We work like a small product team whose customers are other Anthropic engineers. We're looking for Staff+ engineers with a strong background in backend or infrastructure who care about developer experience and have built tools other engineers rely on. We prefer candidates who can work from our San Francisco office, and we'll also consider candidates based in Seattle. What you'll do Design, build, and operate the tools that help product teams ship faster Own the technical strategy and roadmap for your area, and make sure its hardest problems get solved, by you or through others Define what it means to trust a change, especially changes written by Claude, and build the tooling that holds the bar throughout the software development lifecycle Build agents that take on repetitive engineering work, such as diagnosing failures, fixing broken tests, and running migrations Embed with partner teams to find their biggest sources of friction, validate a solution with them, and turn the fix into a product other teams can adopt Move between building new tools and improving the shared systems that teams already depend on, as priorities shift You might be a good fit if you: Experience building and operating backend services or infrastructure in production, in Go, Python, Rust, or TypeScript Deep experience with developer tooling, CI/CD, test infrastructure, or deployment systems Experience leading large, complex technical projects across teams, from an ambiguous problem to a solution developers adopt Clear written and verbal communication, with experience supporting internal partner teams Interest in Anthropic's mission of building safe, beneficial AI Preferred qualifications: Experience at a startup or on a similarly small team, taking a product from zero to one and talking directly to your users Substantial experience with agents that do engineering or other technical work Experience building widely adopted CLI tools, developer-facing services, GitHub automation, or open source developer tools Experience measuring developer productivity and using the data to decide what to build A point of view on how software engineering changes as agents write more of the code Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: San Francisco Our Finance team tracks and seeks to understand the factors driving our growth and success . We help our entire organization achieve our operational and financial goals while embodying our company values . We ensure our objectives are feasible and work closely with all teams to ensure they have the resources they need to achieve our ambitious mission enabling all teams to work together effortlessly . We are looking for a strategic and hands-on Senior Manager, Payroll to lead our US and Canada payroll function. In this role, you will serve as Asana's payroll subject matter expert, ensuring payroll continuity, compliance, and scalable processes during an exciting period of growth while empowering and developing your team. T his role is based in our San Francisco office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays d epends on the type of work you do and the teams with which you partner . If you're interviewing for this role, your recruiter will share more about the in-office requirements . What you’ll achieve Lead the accurate and timely processing of multi-state US and Canada payrolls while ensuring compliance with federal, state, local, and provincial regulations . Serve as Asana's primary subject matter expert and resource for complex payroll matters . Maintain and strengthen payroll processes, automation, SOX controls, payroll policies, and internal audit readiness . Keep comprehensive payroll documentation, procedures, and internal controls current and audit-ready . Partner closely with Accounting on payroll reconciliations, accruals, journal entries, and month-end close activities . Collaborate cross-functionally with HR, Finance, Tax, Legal, and external payroll providers to support seamless operations, M&A activities, and international expansion . Manage payroll vendors and external service relationships to maintain operational excellence . Empower, mentor, and develop the payroll team through open, compassionate communication and proactive knowledge sharing . About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making . 12+ years of payroll experience; progressive leadership experience in payroll management, including direct people management and team development . Deep experience leading payroll operations and SOX compliance within a publicly traded company environment . Deep functional expertise in multi-state US and Canada payroll regulations, payroll accounting, and internal controls . Proven track record of operating strategically while remaining close to day-to-day execution . Exceptional communication skills with a demonst rated ability to build cross-functional trust and resolve conflict constructively . Bachelor’s degree in Accounting, Finance, Business, or a related field . Experience with enterprise systems such as Workday, ADP, or NetSuite, or a CPP cer tification is a plus . At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission . If you're interested in this role and don't meet every listed requirement, we still encourage you to apply . What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the i mpact you have on our path to achieving our mission . We believe that c ompensation should be reflective of the value you create relative to the market value of your role . To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit . For this role, the estimated base salary range is between $190,000 - $223,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively asses sed during the interview process . The listed range above is a guideline, and the base salary range for this role may be modified . In addition to base salary, your compensation package may include additional com ponents such as equity, sales incentive pay (for m ost sales roles), and benefits . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . We strive to provide equitable and competitive ben efits package s that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Israel; United Kingdom; France; Germany; Netherlands; Mexico About us At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients' growth. We empower our people with a culture of excellence, and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone's contribution is welcomed. We are looking for a Signal Integrity/Power Integrity Engineer to join us as part of our team. About the role As a Signal Integrity/Power Integrity Engineer you will work to shape the future of AI/ML hardware acceleration by driving cutting-edge TPU (Tensor Processing Unit) technology that powers the most demanding AI/ML applications. You will be part of a team developing custom silicon solutions, leveraging your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. You will lead chip and package design, ensuring optimal SI/PI performance and system co-design from concept to production, while collaborating within a cross-functional team of Chip Design, IP, System Design, software, and vendors. As a qualified expert You will Lead signal integrity (SI) and power integrity (PI) analysis and optimization for High-Performance Computing (HPC) leveraging advanced 2.5D/3D packaging technologies. Partner early in product definition to influence chip floorplanning, power distribution networks (PDN/power trees), netlists, and routability tradeoffs. Evaluate high-speed interface IPs and develop next-generation memory interfaces across IO PHY, SI/PI, and physical design boundaries. Drive post-silicon validation and qualification for NPI, balancing SI/PI performance and DFM constraints to achieve final package design closure. Partner closely with silicon, system, and external vendor teams while developing simulation methodologies to boost modeling accuracy and efficiency. We're looking for you if you have Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 8 years of experience in SI/PI design for chip/package or system PCB. Experience in industry SIPI modeling tool chains (e.g., HFSS, ADS, Sigrity, Siwave, etc.). Experience with lab bring-up, test environments, and characterization for high-speed memory and SerDes. Experience with partnering across chip architecture, physical design, static timing analysis (STA), package, and validation teams. Experience in Python, MATLAB, or C++ to establish automated flows and data processing tools. Bonus points Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. Deep knowledge of SI/PI analysis for high-speed interconnects (HBMx, D2D/chiplets, PCIe, SerDes) and timing budget methodologies. Direct experience with silicon interposers, silicon bridges, and 3D die stacking architectures. What's in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview steps Interview with Recruiter Manager Interview Client Interview

Location: United Kingdom; Colombia; Israel; Netherlands; France; Germany At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Senior Silicon System and Software Integration Engineer to join us as part of our team. About the role In this role, you will drive cutting-edge custom Machine Learning Accelerator (ASIC) technology that powers high-demanding, large-scale AI applications and global cloud infrastructure. You will leverage your design and verification expertise to evaluate complex digital designs, with a specific focus on ML compute architecture and its integration within AI/ML-driven systems. You will focus on ASIC development, validation, software, tools, and methodologies, pushing the boundaries of chip development and hardware-software integration. As a Senior Engineer, you will own cross-functional workstreams focused on end-to-end hardware-software integration and validation to demonstrate hardware, software, and system functionality and performance. You will serve as a key bridge between specification, design, and verification teams, as well as compiler and performance teams across the ML compute IP ecosystem. Work Environment Fully remote role. Flexible schedule with participation in team ceremonies and cross-functional collaboration. As a qualified expert, You will Review chip specifications and designs, developing integration plans with software and system partners while coordinating hardware/software delivery. Lead the bringup of ML compute features, integrating and validating complex hardware/software designs, including third-party IPs. Develop validation firmware to verify hardware functionality. Execute hardware-software co-simulation methodologies leveraging RTL, emulation, and field-programmable gate array (FPGA) environments. Utilize architectural simulators and performance models to correlate results. Design validation tests and microbenchmarks to verify IP functionality and performance. Author comprehensive test plans in coordination with cross-functional teams including Design, Design Verification (DV), Firmware, and Architecture. Own debug discussions with Design/DV/Software/Architecture teams and help root cause functional failures and performance issues throughout the product development cycle. Improve validation coverage and sign-off processes for high-quality tapeout and production deployment. We’re looking for you if you have Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related technical field, or equivalent practical experience. 5 years of experience in two of the following: computer architecture, embedded firmware, ASIC design or verification, or the integration and enablement of first/third party IPs. Experience in hardware/software integration and validation. Experience with register-transfer level (RTL) development, design verification, and evaluation. Bonus Points Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. 4 years of experience with C++/Python software design principles. Experience integrating complex hardware/software systems in accelerators. Experience developing firmware for embedded systems or accelerators. Experience in debugging firmware using simulation tools. Knowledge of real-time operating system (RTOS) internals. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.

Location: Mexico; Netherlands; Germany; France; United Kingdom; Israel At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Package Design Engineer to join us as part of our team. About Role Be part of a team pushing the boundaries of semiconductor innovation by developing custom silicon solutions that power next-generation consumer and infrastructure products. You will contribute to technologies used at massive global scale, helping shape future hardware platforms with a strong focus on performance, efficiency, reliability, and system-level integration. As a Chip Package Designer within the Silicon Integration team, you will develop package substrate designs for advanced 2.5D/3.5D packaging technologies used in high-performance ML and AI chips. You will collaborate closely with Signal Integrity/Power Integrity (SI/PI), Thermal/Mechanical, Assembly, and PCB engineering teams to develop complex, high-performance substrate designs. The primary objective will be to optimize package substrate architecture for electrical performance, reliability, manufacturability, and assembly. You will manage all major phases of the package design process, including routing feasibility studies, test vehicle development, product-level designs, design reviews, artwork export, DFM activities, and preparation of final manufacturing documentation. You will also contribute to the evaluation and adoption of advanced chip packaging technologies within the broader silicon product development pipeline. Your work will directly support successful deployment of advanced computing systems in large-scale data center environments, helping optimize PPA (Power, Performance, Area) while improving overall system performance, power efficiency, and TCO (Total Cost of Ownership). The broader AI and Infrastructure organization is focused on building next-generation computing platforms and infrastructure at exceptional scale, efficiency, reliability, and speed. These technologies support internal engineering teams, enterprise customers, and large-scale consumer-facing services worldwide. The organization works across both hardware and software, including custom AI accelerators, advanced silicon platforms, AI infrastructure, large-scale networking, data center technologies, distributed computing systems, and systems research. Work Environment Fully remote role. Flexible schedule with participation in team ceremonies and cross-functional collaboration. As a qualified expert, You will: Develop physical package substrate design of large form-factor package for ML high-performance computers (HPCs). Develop and implement the methodology and CAD flow for efficient substrate design and enhanced productivity. Manage and drive co-design initiatives across chip, package, and system levels, including securing production sign-off for package designs. Collaborate closely with signal integrity/power integrity (SI/PI), thermal, and mechanical engineering teams to refine and optimize product package designs, test vehicles, and mock-up designs for product feasibility. Define and document the requirements for the package substrate design and bill of materials (BOM). We’re looking for you if you have Bachelor's degree in Mechanical Engineering, Material Engineering, Electrical Engineering, Technology, Science, a related field, or equivalent practical experience. 8 years of experience in chip package substrate design using Cadence APD or Mentor Expedition. Experience in chip package substrate layout, design verification, DFM and taping out for production. Experience in design automation and scripting. English — Upper Intermediate or higher. Bonus points Master's degree or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Experience in working with cross-functional teams including chip design, SI/PI, and PCB design teams. Experience in 2.5D/3.5D advanced package design. Experience in physical verification flow (LVS, DRC, connectivity). Experience with CAD for creating simple mechanical drawings, such as package outline drawings (POD). Ability to write scripts to customize elements of the Cadence or Mentor workflow. Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.

Location: Athens, Greece; Thessaloniki, Greece About the Role We are seeking an AI/ML Engineer - python developer to join our software development team. You will work on challenging international projects, using cutting-edge technology to deliver ML and AI solutions for major international public organizations. The role offers rapid career growth and real exposure to high-impact, large-scale work. What You Will Do Implement advanced ML solutions and model deployment strategies (MLOps); Build advanced Generative AI components and pipelines, including RAG architectures, orchestration layers and evaluation frameworks; Contribute to AI governance, observability, monitoring and responsible AI practices; Contribute to the design and documentation AI solutions; Contribute to python implementation tasks and implementation of micro-services using frameworks such as FastAPI, Flask, Pydantic. etc. Requirements A university degree in IT or a related field; Very good knowledge of python, pandas, numpy, scipy, matplotlib, seaborn; Good knowledge of  FastAPI, Flask, Pydantic, SQL Alchemy; Hands-on experience in use and integration with leading LLMs and SLMs; Familiarity with AI frameworks such as LangChain, LangGraph, Haystack; Familiarity with major ML frameworks such as PyTorch and TensorFlow, and with model formats such as ONNX; Excellent command of English, written and spoken. Nice to Have Experience designing and implementing AI/NLP pipelines (AI Ops / NLP Ops); Familiarity with AWS SageMaker and / or  Azure Machine Learning platform; Familiarity with cloud platforms such as AWS or Azure; Familiarity with Big Data systems such as Spark (PySpark) and/or Databricks. Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( JA/ME-PD/11/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Location: Thuwal, Saudi Arabia This position is for building, deploying and evaluating Client's Arabic AI tutor for mathematics and computer science: preparing Arabic training data, fine-tuning, aligning and evaluating LLMs on Shaheen III and Ibex, and integrating the tutor into the learning platform for a pilot in at least 10 Saudi schools. The position is part of the RDIA-funded project 5870, “An AI-Powered Arabic Tutoring Platform for STEM Education in the Kingdom.” Two engineers will be hired into this role. Key Responsibilities Prepare Arabic training datasets from educational materials and consented platform interactions. Fine-tune, align, and evaluate commercial and open-source LLMs using Shaheen III and Ibex computing platforms. Develop Arabic STEM benchmarks, preference-training methods, and student-safety guardrails. Integrate AI tutoring capabilities into the learning platform, including Arabic right-to-left interfaces. Deploy and optimize models for reliable, low-latency real-time interactions. Support school pilot implementation, evaluation, and teacher feedback collection. Ensure student data privacy and compliance with Saudi data protection requirements. Contribute to research publications, technical reports, and project deliverables. Qualifications & Experience MSc in Computer Science, Artificial Intelligence, or a related field; alternatively, a BSc with at least one year of relevant experience. Hands-on experience in LLM fine-tuning, evaluation, and AI application deployment. Professional proficiency in Arabic and English. Experience with RLHF/DPO, educational technology, or mathematics/programming education is preferred. Technical Skills Advanced Python and PyTorch. Hugging Face Transformers, PEFT, and TRL. Distributed GPU training using DeepSpeed or FSDP. LLM evaluation, reward modeling, and preference optimization. Arabic NLP, data pipelines, and OCR. Model serving and inference optimization using tools such as vLLM. APIs, Docker, Git, CI/CD, and production deployment.

Location: United States What The Role Is Compensation is a large part of how we attract and retain exceptional talent. We’re hiring a Global Director, Compensation to own our entire compensation strategy. Your day-to-day focus will be on building the compensation programs that drive acquisition and retention of top-tier talent. You will be encouraged to use your creative side to build programs while balancing the tension of analytical rigor and high integrity. You will directly model and own our executive compensation philosophy, including private company equity modeling. You are energized by presenting to the executive team and the executive compensation committee. You'll report directly to our SVP of People and work with executives across the company. Who You Are You think critically and creatively, designing solutions for Babylist’s specific needs and drawing on market data as a key input alongside your own judgment. You bring 12+ years of experience across compensation or total rewards, including executive compensation, equity, and compensation analytics, and you’ve built and scaled compensation programs in a technology company. You can model executive pay—including base, bonus, and equity—and turn complex analysis into clear recommendations and Compensation Committee materials. Experience presenting directly to a comp committee is a plus. You’re deeply fluent in equity compensation, including options, RSUs, vesting design, refresh cycles, eligibility, and dilution tradeoffs, with deep private-company executive compensation experience and public company modeling. You partner closely with Talent Acquisition and treat recruiter market input as a valid signal alongside survey data and internal equity.You have extremely high attention to detail, can intuitively spot when numbers feel off, and bring strong financial acumen in forecasting, budgeting, accruals, and workforce planning. You have worked directly with tech executive leadership to model engineering, product and design compensation. You’re a trusted partner to senior Finance, Legal, Payroll, HR, and business leaders, with the executive presence and writing skills to make complex issues clear. You tell a clear story and lead change management, bringing leaders and employees along with new programs. You handle sensitive information with discretion. You have 5+ years of people leadership experience. You develop a small team, coach them toward more strategic work, and lead through change. You use AI to work smarter and improve your output, and you remain curious about how emerging tools can strengthen the function. How You'll Make an Impact Own the strategy behind Babylist's global compensation programs and annual cycles, and set the philosophy and design for job architecture, market pricing, promotions, pay adjustments, and equity eligibility Own the change management, communication, and rollout of Babylist’s new non-executive equity refresh program, then shape our equity and compensation strategy as the company evolves.Own technical compensation, including a point of view on how engineering and product bands should align to attract top technical talent. Serve as the company’s compensation authority, advising leaders and HR partners on competitive pay decisions, policy interpretation, and exceptions with sound, independent judgment. Communicate compensation programs with clarity and lead the rollout of new initiatives, so leaders and employees understand what is changing and why Lead compensation analytics. This includes benchmarking, pay equity, range penetration, and incentive analysis. Translate findings into executive-ready recommendations. Partner with Finance, Payroll, Legal, Talent Acquisition, and Total Rewards on compensation planning, budgets, offer design, pay progression, and workforce planning. Lead executive compensation activities, including offer packages, annual pay reviews, equity recommendations, governance, and Compensation Committee materials. Ensure programs comply with global compensation requirements, pay transparency laws, internal controls, and data privacy obligations. Lead and develop the compensation team, including mentoring the Senior Compensation Manager, who also oversees benefits execution. Equip managers and employees to understand how Babylist’s compensation programs work and the principles behind them. Why This Role You’d be the first Global Director, Compensation, building the function and designing programs around Babylist’s specific needs, not maintaining an existing one. You’d work directly with People leadership and executives across the company, with outside executive compensation counsel as a partner. About Compensation We use a market-based approach to compensation. The starting salary range for this role is: $189,475.00 to $ 241,000.00 Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity. Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. Why You Will Love Working At Babylist Our Culture We work with focus and intention, then step away to recharge We believe in exceptional management, and we invest in the tools and the time to connect with colleagues We build products that positively impact millions of people's lives AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts Growth & Development Competitive pay and meaningful opportunities for career advancement We believe technology and data can solve hard problems We're committed to career progression and performance-based advancement Benefits Company-paid medical, dental, and vision insurance Retirement savings plan with company matching and flexible spending accounts Generous paid parental leave and PTO Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed Remote work stipend to set up your office Perks for physical, mental, and emotional health, parenting, childcare, and financial planning Important Notices Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person. Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams. All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote About the problem space AI has changed what's possible in go-to-market, support, and business operations. The constraint is no longer "can we build it" — it's "can we deploy it into a real workflow, prove it made things better, and keep it working." Most companies are stuck at the demo stage: a lot of clever prompting, very little that runs reliably on Tuesday morning without someone watching it. This role exists to get us past that, everywhere outside of engineering. Little more about the team: You'll sit on the Data team, which is where this work belongs. Our team already operates at the seam between the business and its systems — we partner daily with RevOps, Customer Success, Sales, and Product, and we own the data infrastructure these workflows depend on. AI-in-the-business is a data problem with a model attached, and you'll have the pipelines, the warehouse, and the domain relationships already in place. What you'll do You are a senior individual contributor. Your job is to take business workflows that are slow, manual, or inconsistent, and make them fast, automated, and measurably better — then do it again, and leave behind enough shared scaffolding that the third one is easier than the first. Ship automated workflows end to end Partner with department leaders to identify the highest-leverage workflows in their orgs, and go deep enough on how the work actually happens to know where a model helps and where it doesn't. Define success before you build: cycle time, quality, cost, risk. Instrument it. Report on it honestly, including when the answer is "this didn't work." Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review where the stakes call for it, and ongoing monitoring. Iterate on adoption the way a product manager would: user research, documentation, and a real plan for getting people to use the thing. Build the shared substrate as you go Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control — derived from what real workflows needed, not designed in advance. Build on the Data team's existing infrastructure rather than standing up parallel systems. Co-own shared components with your counterpart in Engineering; identify dependencies early and bring them into partner roadmaps collaboratively. Make the company fluent Create templates, playbooks, and golden paths: prompt patterns, agent patterns, safety checklists, evaluation patterns. Run office hours, demos, and community-of-practice sessions that make adoption feel accessible rather than intimidating. Develop enablement material for distinct audiences — GTM, operations, leadership — from fundamentals through advanced workflows. Help people build judgment about AI: when to use it, when not to, and how to tell whether it worked. Keep it safe and governable Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy — so that employees have a clear, fast, safe path to experiment. Work with the Data team to apply our data classification standards to AI use cases: what data can be used for retrieval and context, and what audit trails are required when sensitive data flows through LLM pipelines. What you'll bring Deep experience shipping systems into real business workflows — you've owned something end to end, in production, that non-technical people depended on daily. Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, guardrails — plus the pragmatism to keep things shippable. The ability to learn someone else's job well enough to improve it. This role lives or dies on understanding how support, sales, or finance actually work. A track record of leading cross-functional initiatives without formal authority, bringing clarity, momentum, and crisp decision-making. Comfort navigating security, privacy, and compliance tradeoffs in real organizations: data classification, retention, access controls, vendor risk. Strong teaching instincts — you explain complex things simply, write clear docs, and meet people where they are. Demonstrated ability to stay current as the landscape shifts, and to change your mind in public when the evidence does. Nice to have SQL fluency and comfort in a modern data stack (dbt, a cloud warehouse, BI tooling). Experience with workflow automation or enterprise systems: case management, ticketing, CRM, knowledge bases. Familiarity with observability practices for AI systems: monitoring, quality signals, evaluation pipelines, cost and latency analysis. Change management experience across a distributed, multi-function company. Interest in external evangelism — writing, speaking, podcasts, peer groups. Base Salary based on level of experience $310,000 — $360,000 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.