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Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE You'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams and customers - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Build and run tailored demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities - Occasionally contribute code upstream when it meaningfully improves customer outcomes - This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement WHAT YOU’LL BRING - 1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company - Strong Python, JavaScript and systems fundamentals - Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams - Excited to work directly with customers during POCs, architecture reviews, and technical evaluations - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about shipping AI agents in production NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $160,000-185,000 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Procurement Operations is the front door for buying at Anthropic. We sit inside Finance Operations and own the path from “I need to buy something” to a signed agreement, an accurate purchase order, and clean spend data at month end. We are hiring a Procurement Operations Business Partner to own that path for our technology spend: business applications, SaaS tools, cloud and infrastructure services, and the engineering and developer tools our teams build with. This portfolio is software heavy: new tools evaluated and onboarded regularly, licenses that renew on their own schedule, and vendors billed on seats, usage, or tiered subscription terms rather than a single invoice. You will be the person who makes buying software feel simple to the teams who depend on it and reliable to the Finance stakeholders behind it. This is a high-volume role with an accounting core. You ensure every software purchase in your portfolio is coded, dated, received, and accrued correctly, so spend is right in the books every month. Expect a steady queue of new tool requests, renewals, and license changes, and expect to be the person Accounting trusts on all of it. We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native procurement operations function looks like, including how AI changes intake, contract and security review, vendor coordination, and requester support. Responsibilities Own the purchasing process Manage a high volume of purchase requests, renewals, and license changes each month across the organization, keeping speed and accuracy high at the same time. Serve as the primary procurement partner for the teams buying in your categories, guiding requesters from initial request to signed agreement and issued purchase order. Review every purchase request in your portfolio for the things that matter downstream: the right vendor record and contracting entity, complete commercial documents, correct spend categorization and service dates, and the approvals the purchase actually needs. Determine what else each request requires before it can move, whether that is an order form, a data privacy review, or a third party risk assessment, and route it to the right reviewers the first time. Partner with Security to run a vendor security review on every new tool and at every renewal, and hold the line that nothing goes live without one. Launch and track contract review with Legal, keep it moving, and confirm the executed agreement supports the purchase order before it is issued. Structure purchase orders so they match how the vendor bills (seat-based, usage-based, tiered subscription, or flat annual fee) and how Accounting needs to see the spend, with the right GL account, cost center, and service period on every line. Manage renewals, true ups, and seat count changes over the life of each agreement. Track license counts and renewal dates across your portfolio so nothing auto-renews or lapses by surprise, and flag underused or overlapping tools to budget owners ahead of the next renewal cycle. Financial completeness and accuracy Code every purchase order correctly at creation, including GL account, spend category, cost center, and service period, and understand how each choice lands in the financials (expense versus prepaid, annual versus monthly recognition). Work the hard cases with Accounting: multi year subscriptions paid upfront, mid term seat additions, true ups, credits, and contracts amended mid cycle. Own the open purchase order book: receipts recorded against actual delivery, periodic reviews, stale line cleanup, coding corrections, and timely closures, so PO, receipt, and invoice agree. Serve as the first line reviewer for month-end accruals on your portfolio, gathering estimates from vendors and budget owners for variable spend and confirming or correcting proposed amounts so Accounting can close on time. Partner with Accounts Payable to resolve invoice holds, PO mismatches, and receiving questions so vendors are paid on time and spend lands where it belongs. Support audit and reporting requests that touch your portfolio, including commitment schedules and control evidence, with data you can stand behind. Be the front door Be visible and responsive in your teams' Slack channels and office hours; answer routine purchasing questions quickly and escalate real blockers with context. Apply purchasing policy consistently and explain the why, including approval thresholds, signature authority, and when an exception is and is not available. Translate procurement, legal, security, and finance requirements into plain language for engineers, IT, and business stakeholders, and carry their operating reality back to those teams so controls fit the work. Keep a regular check in with your highest volume teams so upcoming purchases and renewals are visible early and nothing urgent arrives as a surprise. Continuous improvement Maintain the playbooks, intake guidance, and standard operating procedures for your portfolio so the path is repeatable and does not live in one person's head. Identify manual steps, repeat questions, and failure points and fix them, including where Claude and workflow automation with AI can take work off requesters and the team. Minimum qualifications Proven track record of owning a high-volume purchasing portfolio end-to-end in a procure-to-pay and intake platform. Solid working knowledge of accrual accounting as it applies to purchasing: accruals and reversals, service period and cutoff, prepaid versus expense, and GL and cost center coding. You can explain how a purchase order becomes an entry in the general ledger. Experience buying and managing software or SaaS at scale, including seat-based, usage-based, and tiered subscription billing models. Experience owning the tool and vendor lifecycle end to end, from intake through security review, contracting, renewal, and sunset, with the judgment to know when to push a request through and when to slow it down. Preferred qualifications 7+ years of procurement operations, purchasing, or vendor operations, including time supporting IT, engineering, or business systems teams. Background in accounting, accounts payable, or a month-end close process. Direct experience with Zip, Workday Financials, and Ironclad. Prior ownership of month-end accrual review or open PO reconciliation for a large, variable spend portfolio. Experience with software asset management or license optimization, including identifying underused or redundant tools. Experience designing tiered intake or approval frameworks that sped up low risk purchases without weakening controls. 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: $190,000 — $230,000 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring an Electrical Engineer II to help advance the performance, reliability, and scalability of WHOOP wearable technology and supporting hardware. As a member of the Hardware Engineering team, you will play a hands-on role in designing, testing, characterizing, debugging, and improving electrical systems throughout the product lifecycle, from early development and prototyping through high-volume production and continuous improvement. You will work closely with Electrical, Mechanical, Firmware, Manufacturing, Quality, and Supply Chain teams to investigate complex technical challenges, develop and validate robust solutions, and drive improvements in product performance, quality, reliability, and manufacturability. RESPONSIBILITIES: - Design, test, characterize, debug, and optimize low-power, mixed-signal electronic circuits and systems across new product development and continuous improvement initiatives - Contribute to schematic design, component selection, PCB development, hardware prototyping, board bring-up, and design iteration to improve system performance, robustness, and manufacturability - Develop and execute electrical experiments, characterization plans, and validation testing to understand system behavior, investigate failures, identify root causes, and guide engineering decisions - Analyze test data and troubleshoot electrical issues to drive improvements in circuit performance, power consumption, signal integrity, reliability, production yield, and cost - Collaborate across Electrical, Mechanical, Firmware, Manufacturing, Quality, and Supply Chain teams, as well as with suppliers and contract manufacturers, to resolve technical challenges and implement robust hardware solutions - Support hardware through design verification, validation, new product introduction (NPI), and ongoing production, including engineering change orders (ECOs) and design improvements; travel up to 15% domestically and internationally to collaborate with partners and suppliers QUALIFICATIONS: - Bachelor's degree in Electrical Engineering or a related technical field, or equivalent practical experience - 3+ years of relevant electrical engineering experience designing, developing, testing, debugging, or supporting electronic hardware - Strong understanding of electrical engineering fundamentals, including analog and digital circuit design, power management, signal integrity, component fundamentals, and common communication interfaces - Hands-on experience designing, prototyping, testing, characterizing, and debugging electrical circuits and systems using standard laboratory equipment - Experience reading and developing schematics and working with ECAD tools such as Altium or equivalent - Experience with hardware development, validation, or production support, including exposure to design verification, failure analysis, design iteration, or manufacturing processes - Strong analytical and problem-solving skills, with the ability to use data, experimentation, and cross-functional collaboration to investigate complex technical problems and drive effective solutions - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $110,000 - $150,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Job Summary We are looking for a Optical Network/DWDM-IP Engineer to own the lifecycle of our optical transport network and its integration with the IP/MPLS core. You will be responsible for operating a hybrid ecosystem of short-haul (DC interconnects), metro, and long-haul DWDM systems. This role requires a "Full-Stack Transport" mindset—where you understand the physics of the fiber, signal modulation and could overview the logic of the ip/MPLS part of network. Job Responsibilities: Hybrid Infrastructure Management: Configure, deploy, and scale multi-vendor DWDM systems (Ciena, Nokia-Infinera, ADVA/Adtran) to support 400G/800G+ coherent interfaces. Operational Excellence: Lead the troubleshooting of complex optical-to-IP failures, ensuring minimal MTTR for critical backbone spans and DCI links. Network Evolution: Design and test new optical solutions, focusing on Open Line Systems (OLS), disaggregated hardware, and pluggable coherent optics (QSFP-DD/OSFP). Automation & Data Integrity: Build and maintain the "Source of Truth" (Netbox-based) for lambdas, channels, and dark fiber assets; participating in automate commissioning via Python/gNMI. Strategic Collaboration: Work with Data Center Ops and IP Engineering to align optical capacity with traffic engineering (SR-MPLS) demands. Vendor & Asset Management: Manage relationships with dark fiber providers and channel suppliers; monitor performance against SLAs. We Expect You To: Deep Optical Expertise: Knowledge of ROADM networks and use-cases, optical amplification (EDFA/Raman), understand Coherent modulation formats and its characteristics in multi span long-haul scenarios. IP/MPLS Proficiency: Have an understanding of the IP/MPLS stack (any from BGP/OSPF/IS-IS) to perform initial debugs on packet-over-optical issues. Hands-on with Production Platforms: Direct experience with ADVA/Adtran platforms or Ciena /Nokia-Infinera Automation Mindset: good to read Python for automating routine of inventory synch Diagnostic Precision: Expert use of OTDR, OSA, and BERT equipment for characterization of short, middle, and long-haul fiber spans. Mobility: Willingness to travel to key sites in the USA/EU/APAC for critical hardware deployments and complex physical-layer audits. Preferred Qualifications: Good in Linux-based network tools and telemetry for optical monitoring. Proven track record in network modernization projects (e.g., migrating from 100G to 400G/800G architectures). Nice to have Experience with MPLS and its interaction with optical layer performance metrics. About Nebius Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023). Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us! Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. THE ADVENTURE AHEAD 🚀 As a Senior Product Engineer II, you bring deep expertise in backend engineering alongside strong working competency across the broader stack. You own complex features and technical initiatives end to end, working across services, APIs, data layers, and integration boundaries to deliver complete solutions. Your primary strength is building reliable backend systems, designing scalable APIs, and shaping cloud native and event driven architectures. You understand how the broader system fits together and can confidently work across frontend and platform boundaries when needed. Beyond your individual technical output, you function as a technical anchor within your squad. You help drive technical direction, mentor peers, coordinate dependencies, and ensure the team can consistently deliver high quality software without creating unnecessary knowledge silos.   THE DAY-TO-DAY ⚒️ - Own complex initiatives end to end Drive multi sprint technical initiatives from architecture through implementation, production deployment, and ongoing evolution. - Build reliable backend systems Design and evolve services, APIs, data models, and asynchronous workflows that support complete customer outcomes. - Work across system boundaries Navigate frontend applications, backend services, data layers, and platform integrations to deliver complete solutions. - Set technical direction Bring deep backend expertise while shaping architecture decisions and engineering patterns across the broader system. - Make durable technical decisions Evaluate complex tradeoffs around consistency, performance, reliability, and security, balancing immediate delivery with long term scalability and maintainability. - Anchor the squad Break down complex work, coordinate technical dependencies, unblock others, and help the team maintain delivery momentum. - Drive engineering excellence Raise the bar for testing, CI/CD, observability, architecture, code quality, and pragmatic technical debt management. - Partner across functions Work with Product, Design, QA, SRE, platform teams, and engineering groups to translate customer problems into reliable solutions. - Level up the team Mentor engineers through architecture discussions, design reviews, code reviews, pairing, and knowledge sharing. YOUR SUPERPOWERS⚡️ - Engineering depth and breadth Six or more years of software engineering experience, with deep expertise in backend engineering and strong working competency across the broader stack. - End to end ownership A proven record of owning complex technical initiatives from architecture through production deployment and operation. - System design expertise Strong understanding of service architecture, APIs, distributed systems, cloud services, and maintainable production software. - Data modelling and databases Strong experience designing and evolving data models, schemas, and access patterns, with an understanding of relational databases, query performance, indexing, migrations, and data integrity. - Asynchronous and event driven systems Experience building reliable background processing, messaging, and event driven workflows across services and integration boundaries. - Production reliability The ability to reason about failure modes, concurrency, retries, data consistency, and performance across services and integration boundaries. - Technical leadership The ability to guide engineers through uncertainty, establish effective architecture patterns, and raise engineering standards. - Integration fluency Comfort navigating unfamiliar systems and safely evolving APIs, service contracts, and integrations, including the frontend applications that depend on them. - Engineering excellence Strong experience with automated testing, CI/CD, observability, monitoring, and pragmatic technical debt management. - Collaborative communication The ability to explain tradeoffs, challenge assumptions constructively, and align Engineering, Product, Design, QA, and platform stakeholders. BONUS POINTS 🌟 - Cloud and event driven systems Cloud native applications using serverless services, messaging, asynchronous workflows, or event driven architecture. - Infrastructure and delivery Infrastructure as Code, CI/CD pipelines, deployment strategies, or production operations. - Backend breadth Experience across multiple backend languages, frameworks, or runtime environments, and confidence choosing appropriate tools for the problem. - Security and tenancy Authentication, authorization, tenant isolation, and secure handling of customer data. - Frontend competency Working experience with modern frontend frameworks, application state, and API integration. - Production observability Monitoring, tracing, logging, metrics, incident diagnosis, and performance tuning. - Technical growth Experience acting as a technical lead or clear progression toward broader Staff level leadership. OUR STACK 🛠️ - Backend and platform systems include Node.js, Go, PHP, Python, AWS, REST APIs, event driven architectures, relational databases, CI/CD, and modern observability tooling. Frontend applications include Angular and modern web technologies. - You do not need deep expertise in every technology we use. We are looking for deep backend expertise, strong software engineering fundamentals, and confidence applying your experience across languages, frameworks, and system boundaries. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . What You'll Do: Reddit is a community of communities, built around the conversations, interests, and experiences people share with one another. Moderators are the heart of that ecosystem: they shape community norms, keep spaces healthy, and help communities grow. As Reddit continues to scale globally, this role will help define how we support moderators, reduce the burden of running healthy communities, and evolve moderation from reactive manual work into proactive, intelligent systems. We are looking for a Staff Product Manager to help define the future of moderation on Reddit. This is a rare opportunity to lead zero-to-one product work at the intersection of user-facing experience, community governance, and cutting-edge LLM systems. You will help Reddit move beyond legacy moderation approaches toward proactive, intelligent, and scalable community enforcement. This role is for a PM with exceptional product judgment, strong user intuition, and enough AI/ML depth to partner closely with Engineering, Data Science, Design, and Safety. The right person can shape compelling user experiences, reason about model quality and tradeoffs, and create clarity in a high-stakes, high-visibility space where the product, technical, and ecosystem decisions all matter. Responsibilities Identify Reddit’s highest-impact opportunities to evolve evolve community enforcement and moderator workflows, and turn them into a clear product strategy and roadmap. Lead zero-to-one development of LLM-powered moderation experiences that are critical to how Reddit scales healthy communities globally. Build a deep understanding of moderators, community members, and healthy community dynamics, and translate those insights into high-quality product experiences. Define success metrics and model/product evaluation criteria that connect user value, community health, and Reddit’s broader strategy. Reason about AI/ML quality, including precision, recall, error costs, coverage, latency, failure modes, human review, and feedback loops. Assess high-stakes ecosystem tradeoffs across community health, moderator trust, user trust, safety, and product quality. Partner with Engineering, Data Science/ML, Design, Safety, Consumer, and senior leaders to drive execution in a highly visible company priority. Communicate strategy, decisions, tradeoffs, and learning clearly to executive stakeholders. Must Haves: Staff-level product experience owning meaningful consumer surfaces or systems with measurable user impact. Exceptional product sense across user intuition, problem framing, prioritization, UX judgment, and product taste. Track record leading ambiguous zero-to-one or major product-evolution work from strategy through launch and learning. Experience building AI/ML-powered products, with fluency in model evaluation and product/model tradeoffs. Strong analytical judgment, including defining metrics, interpreting evidence, and changing direction when needed. Excellent cross-functional leadership with Engineering, Data Science/ML, Design, Safety, and partner teams in ambiguous, technically complex spaces. Nice-to-Haves: Experience with community, social, creator, UGC, trust/safety, or moderation products. Experience with ML-heavy consumer surfaces or policy-sensitive AI experiences. Experience replacing mature systems with a new product paradigm in complex, matrixed organizations. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Rework Technician II to support the development, testing, and refinement of innovative wearable technology. In this hands-on role, you will partner closely with mechanical, electrical, and firmware engineers to build prototypes, perform electrical and mechanical rework, conduct testing and failure analysis, and help maintain highly organized engineering lab environments. The ideal candidate brings strong technical aptitude across both electrical and mechanical disciplines, exceptional attention to detail, and the ability to execute high-quality work in a fast-paced product development environment. RESPONSIBILITIES: - Perform electrical rework, soldering, troubleshooting, and analysis of PCBAs and other electronic components, including fine-pitch and small-form-factor components - Build and assemble prototypes, cable assemblies, test fixtures, and small-scale manufacturing assemblies in partnership with electrical and mechanical engineering teams - Conduct electrical and mechanical product testing, dimensional measurements, and inspections using tools such as microscopes, vision measurement systems, and calipers - Support failure analysis of engineering prototypes and consumer returns, documenting findings and communicating results to engineering partners - Maintain and organize electrical, mechanical, and automated test labs, including managing parts inventory, equipment, 3D printers, and lab supplies - Support engineering development activities including firmware updates, prototype modifications, test circuit board builds, and other hands-on technical work as needed QUALIFICATIONS: - 3+ years of relevant technician, electronics rework, prototyping, manufacturing, engineering lab, or related hands-on experience - Demonstrated experience with PCBA rework and soldering, including working with fine-pitch components; experience with BGA and 0201 or smaller components is a plus - Hands-on mechanical aptitude with experience in areas such as prototype assembly, product testing, cable or wire harness assembly, adhesives, fixtures, or 3D printing - Experience using measurement, inspection, and troubleshooting equipment such as microscopes, calipers, vision measurement systems, multimeters, or similar tools - Strong organizational skills, attention to detail, and ability to manage equipment, components, documentation, and multiple priorities in a fast-paced environment - Associate degree in an engineering, science, or technical field, or equivalent combination of education and relevant hands-on experience - Interest in consumer electronics, wearable technology, health, fitness, or performance products - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibilityThe WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $110,000 - $150,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Germany, Berlin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are looking for a Staff Software Engineer to help shape and build the next generation of our network automation platforms. Our challenge is one of scale, complexity and criticality. We operate a massive global network supporting PlayStation Network, spanning more than 40 interconnection locations and 20+ data centres worldwide. Operating infrastructure at this scale safely and efficiently requires us to move beyond specialist-driven workflows and individual automation tools toward reliable, declarative software platforms. You will help make that transition. You will work on software that turns complex network and infrastructure operations into reliable, API-driven and increasingly self-service capabilities. This includes building control-plane services, declarative APIs and intent-based controllers that manage production infrastructure safely and consistently across our global footprint. This is a Staff-level engineering role with significant technical influence. You will combine hands-on engineering with setting technical direction: defining architectures, solving complex cross-system and distributed-systems problems, writing designs, driving alignment with senior engineers and architects, and mentoring engineers across the team. Your work will directly influence how one of the world's largest gaming networks is operated and automated, while establishing engineering patterns and platforms that can be reused across multiple network domains and services. What you'll be doing: Provide technical leadership and architectural direction for network automation and infrastructure control platforms, treating the self-service network API as a product by working with users and partner teams to define outcomes, establish clear expectations for API behavior and reliability, align on team responsibilities, and ensure those commitments are met. Use domain-driven design with network experts, software engineers and API consumers to establish shared language and bounded contexts, then turn those agreements into versioned, testable contracts. Design and build APIs, services, controllers and reconciliation workflows that manage production infrastructure safely at scale. Build on the Kubernetes API, including custom resources and control loops that continuously converge actual state toward declared intent. Own the operational Kubernetes path: CRD rollout, RBAC and admission, controller health, Helm packaging, deployment drift and incident diagnosis. Design distributed workflows that operate correctly under eventual consistency, at-least-once delivery, concurrent writes and partial failure, with idempotency and safe recovery as fundamental properties. Design stable APIs, schemas and data models used across team boundaries, including versioning and backwards compatibility. Develop patterns for multi-tenant infrastructure platforms, including tenant isolation, authorization, policy enforcement and safe automation boundaries. Establish strong approaches to testing, observability and change safety for software that changes live infrastructure. Improve software delivery practices through automated CI gates, versioned artifacts, controlled promotion, and safe deployment and recovery strategies. Lead complex migrations and modernization of existing automation, services and data models, evaluating when components should be evolved, replaced or rewritten, and ensuring safe coexistence, behavioral compatibility and retirement of legacy paths. Drive technical alignment across software engineering, networking, operations and architecture teams; lead decisions within your area of accountability, contribute constructively to decisions owned by others, and make technology choices based on long-term company and product value. Mentor engineers, lead technical and design reviews, and raise software engineering standards across the wider organization. What we're looking for: Must have Deep expertise in a backend language such as Python, Go, Rust or Java, including asynchronous concurrency, static typing, data modelling and validation, API development, packaging and tooling. Strong experience building Kubernetes controllers or operators, including custom resources and reconciliation/control-loop patterns. Strong experience building event-driven distributed systems, particularly eventual consistency, at-least-once delivery, idempotency, optimistic concurrency and partial-failure handling. Experience designing and building self-service, multi-tenant platforms, including tenant isolation, policy and access control. Strong API and schema design skills, including versioning and schema evolution for interfaces consumed by other teams and systems. Demonstrated technical leadership across team boundaries, including driving architectural designs, building agreement among senior technical stakeholders and mentoring other engineers. A track record of taking ambiguous, technically complex problems from architecture through to reliable production systems that manage large-scale infrastructure, such as networks, compute or cloud resources. Nice to have Networking fundamentals, particularly BGP, IP fabrics and VXLAN/EVPN/L3VPN. Working knowledge of Go, sufficient to understand and contribute to adjacent services and controllers. Experience designing testing and observability strategies for production infrastructure automation, including systems and backends that cannot be fully reproduced in CI. Experience with graph databases, or with source-of-truth systems that model infrastructure and its relationships. The impact You will help establish the architecture and engineering practices behind a new generation of network automation, moving from individual scripts and specialist-driven workflows toward declarative, model-driven and reliable platforms. At Staff level, your impact is expected to extend beyond the code you personally deliver. You will help shape the APIs and designs other teams build on, develop other engineers, and establish technical patterns that can be reused across multiple network domains and services. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote; Europe; Switzerland; Poland; United Kingdom; Netherlands Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for a backend-leaning full-stack engineer to help build the next generation of Creative Agents at ElevenLabs. Our ambition is to make agents a primary way people create across ElevenCreative. We are building systems that turn ideas into high-quality audio, image and video, bringing models and creative tools together without requiring users to become prompting experts. The creative agent is already live. You will join a small team shaping its capabilities and architecture, with ownership from backend systems and agent infrastructure through to the customer-facing experience. You will help discover what works, turn experiments into reliable features, and use real customer feedback to guide what we build next. Your responsibilities will include: - Building production agents and expanding their capabilities through prompts, tool use, orchestration, new models and MCP integrations. - Designing and operating reliable backend systems for asynchronous creative generation and long-running tasks, with strong performance, observability, scalability and security. - Developing shared evaluations and live quality monitoring, including model-based assessment of image and video outputs. - Owning features end to end, from identifying user needs and prototyping to shipping across the stack and supporting them in production, alongside product, design and engineering. You will help shape both what the agent can do and how people use it across ElevenCreative. The work combines substantial greenfield development with improving and operating a live product. REQUIREMENTS We care about evidence of exceptional engineering: products you have shipped, difficult problems you have solved, and systems you have owned. We are looking for: - Strong backend engineering skills, experience operating production systems, and sound fundamentals in APIs, cloud infrastructure, storage and asynchronous processing. - Hands-on experience developing agents, with an understanding of prompts, tools, execution logic, evaluations and the challenges of reliable, secure operation. - Evidence of independent, end-to-end ownership and confidence working across the stack, including frontend delivery when needed. - Good product judgement, clear communication and enthusiasm for creative agents. We may also consider exceptional engineers with closely relevant experience. Familiarity with HTTP, WebSockets and asynchronous workers will help you build reliable communication between services and recover from failures. Experience with multimodal generation, creative editors, MCP, or building products in a small, fast-moving team would be particularly valuable. Location: This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.   #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Cairo, Egypt; Alexandria, Egypt Workplace: hybrid About Yassir:   Yassir is the leading super app in the Maghreb region, set on changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia, with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. We're helping usher the continent into a digital economy era, not just by serving people, but by building a marketplace that brings people what they need while infusing social values. About the Role Yassir's marketplace runs on decisions made millions of times a day: which driver gets which trip, what a ride should cost, when an order will arrive, which transaction looks fraudulent, who qualifies for credit. We are looking for a Product Manager who owns the machine learning systems behind those decisions and is accountable for their measurable impact on the business. This is a product role for ML-heavy, data-intensive products. You will lead discovery from data rather than from opinion, frame business problems as problems a model can actually solve, define what success means both offline and in production, and prove impact through well-designed experiments. You will work closely with data scientists, ML engineers and data engineers, and with product and operations partners across ride-hailing, delivery and financial services. What This Role Is (and Isn't) This role centres on predictive and decisioning ML: ranking, matching, forecasting, pricing, risk and personalisation. Experience building LLM or agentic features is welcome, but it is not a substitute for the fundamentals below. If your ML product experience is primarily integrating third-party models or APIs into user-facing features, this role is likely not the right fit. Responsibilities Data-led discovery: Identify and size ML opportunities by going into the data yourself. Diagnose where the marketplace is losing value (supply-demand imbalance, cancellations, ETA error, fraud losses, default rates) and translate it into a prioritised, quantified problem backlog. Problem framing: Turn business problems into well-posed ML problems: define the prediction target, the decision it informs, the unit of analysis, label availability and quality, and the cost of different error types. Know when a problem does not need ML and a rule or heuristic will do. Metrics and success criteria: Define the chain from model metrics (e.g. precision/recall, calibration, MAE) to product and business metrics, and own guardrail metrics. Understand why offline gains often fail to translate online, and plan for it. Experimentation and causal inference: Design and interpret controlled experiments, including in two-sided marketplace settings where interference makes standard A/B tests unreliable (switchback, geo or cluster-randomised designs). Reason about statistical power, novelty effects and heterogeneous impact across cities and segments. Distinguish correlation from causation, and know which quasi-experimental methods to use when randomisation isn't possible. ML product lifecycle: Own models from framing through data requirements, baseline, iteration, launch, monitoring and retirement. Partner with engineering on rollout strategy, model monitoring, drift detection, retraining cadence and failure modes. Treat a model in production as a product that degrades if unattended. Roadmap and trade-offs: Own the ML product roadmap across domains and countries. Make explicit trade-offs between accuracy, latency, cost, interpretability, fairness and regulatory requirements, especially in credit and financial services. Stakeholder alignment and visibility: Make the impact of ML work legible to non-technical leadership. Communicate results, including null and negative results, with rigour and clarity. Align product, operations, risk and marketing partners on shared objectives. Leadership and culture: Raise the bar on how the organisation makes decisions with data. Mentor peers, build a culture of feedback and trust, and invest in your own growth and that of those around you. Requirements 4+ years of product management experience, including at least 2 years owning ML-driven products that run in production and influence core business decisions (e.g. pricing, matching, ranking, forecasting, fraud, credit risk, recommendations). Hands-on fluency with data: you can write SQL, explore data independently and challenge an analysis without waiting for someone else to run it. Demonstrated experience designing, running and interpreting controlled experiments, and a solid working understanding of causal inference. Strong understanding of core ML concepts: supervised learning, evaluation metrics and their trade-offs, overfitting and leakage, bias, calibration, and the relationship between offline and online performance. A track record of shipping ML products where you can clearly articulate the problem framing, the metrics chosen, the experiment design and the measured business impact, including what went wrong. Experience working with distributed or remote teams across multiple markets. Experience in marketplaces, mobility, on-demand delivery or fintech is a strong plus. BSc/MSc in Engineering, Computer Science, Statistics, Data Science or a related quantitative field.

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Mechanical Design Engineer – Data Centres Nebius We’re looking for a Mechanical Design Engineer to help shape the mechanical infrastructure supporting our data centre developments. You’ll contribute throughout the project lifecycle, from concept design and technical assessments through detailed design, construction and commissioning. Working alongside electrical engineers, IT infrastructure teams, external consultants and equipment suppliers, you’ll develop practical, scalable cooling solutions for high-density computing environments. This is an opportunity to influence engineering decisions, help develop design standards and see your work carried through into operating facilities. What you’ll do Develop and review mechanical designs for new data centres, expansions and upgrades. Produce and assess cooling calculations, equipment specifications, schematics, layouts and design documentation. Evaluate cooling systems, including chillers, pumps, heat exchangers, air-handling equipment and associated pipework. Support the integration of liquid cooling, coordinating the interfaces between facility systems, coolant distribution units and IT equipment. Assess capacity, redundancy, maintainability and system performance under normal operation, maintenance and failure conditions. Coordinate mechanical designs with electrical, structural, architectural and controls teams, including airflow, containment and plant-space requirements. Review consultant designs, supplier proposals and contractor submissions, resolving technical queries during procurement and construction. Support site assessments, installation reviews and commissioning to verify that systems meet the design requirements. Identify opportunities to improve energy and water efficiency, reduce lifecycle costs and standardise designs across projects. What you’ll bring A qualification in Mechanical Engineering, Building Services Engineering or equivalent practical experience. Experience designing mechanical systems for data centres or other mission-critical facilities. Strong knowledge of HVAC, cooling systems, heat transfer, fluid distribution and equipment selection. An understanding of resilient design and the operational requirements of facilities running continuously. Experience preparing or reviewing engineering calculations, technical specifications and construction documentation. Familiarity with mechanical controls and Building Management System interfaces. The ability to work effectively with consultants, contractors, suppliers and colleagues across engineering disciplines. Clear communication skills in English and willingness to travel to project sites when required. Useful additional experience Direct-to-chip liquid cooling or other cooling technologies for high-density AI and HPC environments. Thermal modelling, airflow analysis or computational fluid dynamics. BIM coordination and tools such as Revit or AutoCAD. Commissioning, integrated systems testing or operational troubleshooting. Professional engineering registration or relevant data centre qualifications. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Mechanical Design Engineer – Data Centres Nebius We’re looking for a Mechanical Design Engineer to help shape the mechanical infrastructure supporting our data centre developments. You’ll contribute throughout the project lifecycle, from concept design and technical assessments through detailed design, construction and commissioning. Working alongside electrical engineers, IT infrastructure teams, external consultants and equipment suppliers, you’ll develop practical, scalable cooling solutions for high-density computing environments. This is an opportunity to influence engineering decisions, help develop design standards and see your work carried through into operating facilities. What you’ll do Develop and review mechanical designs for new data centres, expansions and upgrades. Produce and assess cooling calculations, equipment specifications, schematics, layouts and design documentation. Evaluate cooling systems, including chillers, pumps, heat exchangers, air-handling equipment and associated pipework. Support the integration of liquid cooling, coordinating the interfaces between facility systems, coolant distribution units and IT equipment. Assess capacity, redundancy, maintainability and system performance under normal operation, maintenance and failure conditions. Coordinate mechanical designs with electrical, structural, architectural and controls teams, including airflow, containment and plant-space requirements. Review consultant designs, supplier proposals and contractor submissions, resolving technical queries during procurement and construction. Support site assessments, installation reviews and commissioning to verify that systems meet the design requirements. Identify opportunities to improve energy and water efficiency, reduce lifecycle costs and standardise designs across projects. What you’ll bring A qualification in Mechanical Engineering, Building Services Engineering or equivalent practical experience. Experience designing mechanical systems for data centres or other mission-critical facilities. Strong knowledge of HVAC, cooling systems, heat transfer, fluid distribution and equipment selection. An understanding of resilient design and the operational requirements of facilities running continuously. Experience preparing or reviewing engineering calculations, technical specifications and construction documentation. Familiarity with mechanical controls and Building Management System interfaces. The ability to work effectively with consultants, contractors, suppliers and colleagues across engineering disciplines. Clear communication skills in English and willingness to travel to project sites when required. Useful additional experience Direct-to-chip liquid cooling or other cooling technologies for high-density AI and HPC environments. Thermal modelling, airflow analysis or computational fluid dynamics. BIM coordination and tools such as Revit or AutoCAD. Commissioning, integrated systems testing or operational troubleshooting. Professional engineering registration or relevant data centre qualifications. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - Worldwide Workplace: onsite Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks. Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not.   Director of Technology Operations We are building the next operating model for a ~150-person technology organization behind production-critical financial infrastructure. We are looking for a Director of Technology Operations to lead that transformation. This is not a traditional infrastructure or IT operations role. The mandate is to evolve Technology Operations from a primarily reactive model toward a scalable organization built around clear ownership, platform engineering, automation, self-service, operational excellence, resilience and measurable outcomes. You will initially lead several established technology functions through their existing Heads and Leads, with approximately 25 people across Platform/DevOps, Corporate IT and Operational Excellence. The mandate is broader than the initial team size: you will help shape the operating model of a ~150-person technology organization and build capabilities designed to scale significantly beyond today's structure. Your responsibility will go beyond managing these teams. You will help shape how the broader technology organization operates: how production services are owned, how incidents and changes are managed, how engineers consume infrastructure capabilities, how operational risks are identified, and how recurring manual work is systematically eliminated. A major part of the role is organizational transformation. We expect you to assess the current model, challenge it where necessary, define the target state, develop the leaders underneath you, and deliver measurable improvements rather than simply introduce new processes. The goal is straightforward: as the company grows, Technology Operations should become more reliable, resilient and scalable while requiring less manual coordination, less operational toil and less executive intervention. What you will do Lead the transformation of Technology Operations across Platform/DevOps, Corporate IT and Operational Excellence, moving the organization from reactive operations toward ownership, automation, self-service and measurable outcomes. Define the Technology Operations strategy, target operating model, organizational structure, responsibilities, priorities and transformation roadmap. Lead multiple established technology functions through Heads, Leads and other managers, creating clear accountability and developing leaders who can operate with increasing autonomy. Lead the evolution of DevOps toward a Platform Engineering model that reduces operational toil, increases self-service and improves developer productivity while maintaining reliability and security. Partner with Engineering to establish a "you build it, you own it" model, where product teams retain ownership of their services in production while Technology Operations provides the platform, standards, tooling and operational framework that enable them to operate reliably. Develop Service Management toward Operational Excellence: strengthen service ownership, incident and problem management, introduce risk-based change governance, reduce unnecessary manual controls, and use operational data to eliminate systemic causes of failures. Transform Corporate IT toward a secure, automated employee technology model, with strong identity and access lifecycle management, device management, governance and employee self-service. Continuously assess the current organization, technology landscape and operating model, identify structural and operational gaps, and turn them into concrete improvement initiatives. Improve the maturity, reliability, scalability and efficiency of technology operations supporting production-critical systems. Define meaningful operational metrics and use them to identify systemic problems, measure transformation outcomes and drive improvements rather than simply report performance. Own the Technology Operations contribution to digital operational resilience, including ICT business continuity, disaster recovery, backup and restoration, resilience testing, recovery objectives, crisis readiness, and remediation of findings from incidents and resilience exercises. Partner with Security, Risk and Compliance to maintain an effective ICT risk management and control environment, including technology risk identification, critical service dependencies, ICT third-party risk, resilience testing, audit readiness and regulatory remediation. Ensure operational and technology risks are identified early, understood, prioritized and addressed appropriately. Support the company through audits, certifications, regulatory requirements and other controls relevant to financial and technology organizations. Own and optimize budgets, technology vendors, infrastructure investments and external partnerships within the function. Partner closely with Engineering, Security, Risk, Compliance, Product, Finance and other business functions. Represent Technology Operations in cross-functional and executive discussions and communicate complex technology and operational topics clearly to different audiences. Help prepare the technology organization for the next stage of the company's growth, including increasingly complex enterprise customers, new products and a larger engineering organization. What we are looking for Significant leadership experience in Technology Operations, IT Operations, Infrastructure & Operations, Platform/Production Operations, Platform Engineering or a comparable technology function. Experience as a manager of managers, with responsibility for several teams or functions through Heads, Engineering Managers, Team Leads or equivalent leadership roles. Previous experience as a Technology Director, VP/Head of Technology Operations, Platform/Infrastructure leader or in a comparable senior role within a product engineering organization is highly relevant. Proven examples of significant organizational or technology transformation: changing operating models, building or restructuring functions, introducing new capabilities, increasing operational maturity, scaling teams or materially changing how technology organizations operate. Experience leading or evolving DevOps, SRE or infrastructure capabilities toward Platform Engineering, including developer self-service, automation and reduction of operational toil. Strong understanding of modern production ownership models and the relationship between Platform Engineering and product engineering teams. Experience with production-critical systems where availability, reliability, security and operational failures have direct business impact. Experience with IT and Service Management in modern product/engineering environments, including incident, problem and change management. Experience transforming Corporate IT or employee technology environments, including identity/access lifecycle, endpoint/device management, automation, governance and employee self-service. Practical experience with business continuity, disaster recovery and operational resilience in production-critical environments, including BIA, RTO/RPO, backup and restoration, resilience testing and remediation. Experience working with Security, Risk and Compliance teams and managing technology and operational risks. Exposure to audits, certifications, regulatory requirements and operational controls relevant to financial institutions or other regulated environments. Working knowledge of regulatory frameworks relevant to technology operations in financial services, such as DORA, and the ability to translate regulatory requirements into pragmatic engineering and operational controls, is a plus. Experience managing budgets, vendors, contracts and technology investments. Ability to operate effectively when requirements, organizational boundaries or the final solution are not yet fully defined. Track record of developing leaders and building teams that can operate without constant escalation or executive intervention. Ability to move between strategic topics and operational problems: understand what requires executive attention, delegate what should be owned by your leaders, and personally step in when the situation requires it. Strong stakeholder management and communication skills, including the ability to work effectively with technical teams, senior business stakeholders and executive leadership. Experience in fintech, payments, banking, financial infrastructure or another regulated and production-critical technology environment would be highly valuable. How we think about this role We are not looking for a traditional IT or infrastructure leader whose primary focus is maintaining existing systems and following established processes. We need someone who is comfortable entering an environment where not everything has already been defined — and who sees that ambiguity as part of the mandate. You should be able to understand how the organization actually operates today, distinguish symptoms from systemic problems, bring the right people together, make decisions with incomplete information, and turn those decisions into measurable organizational and technology improvements. You will not be expected to solve every problem personally. A major part of your role will be to build strong Heads and Leads who can own their areas independently, while you focus on the most important organizational, strategic and cross-functional challenges. At the same time, limited resources, legacy approaches or imperfect processes should be constraints to work with — not reasons why progress cannot happen. What success looks like Within the first 6–12 months, we expect to see measurable movement in addition to plans: reduced recurring operational toil; increasing developer and employee self-service; stronger and clearer service ownership; fewer repeated incidents and systemic operational failures; more risk-based and automated change management; improved developer and employee experience; clearer operational and resilience metrics; measurable progress toward a Platform Engineering model; stronger operational resilience and risk management; and Heads and Leads operating with greater autonomy. You will have established a clear target operating model and transformation roadmap, but success will not be measured by the existence of the roadmap itself. It will be visible in how the organization operates. Success means the organization requires less manual coordination and executive intervention while becoming more reliable, resilient, faster and more scalable. Why join CryptoProcessing by Coinspaid You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

Location: EMEA About Prefect Prefect builds automation for an unpredictable world. The last decade of automation was about protecting workflows from unpredictability; in the agentic era, unpredictability is the point. Our mission is to give people confidence in automated work, whether that work is a mission-critical data pipeline or a fleet of AI agents. In August 2026, Prefect and Dagster, competitors for eight years, joined forces to build the next generation of automation infrastructure. Today, our ecosystem includes Dagster, the data platform; Prefect, the agent platform; and FastMCP, the leading open-source developer framework for the MCP ecosystem. Together, our open-source and commercial products are trusted by Fortune 500 companies, data innovators, and high-growth technology companies around the world. We think of our culture as the operating system of the company. We’ve carefully created a supportive, high-performance environment that empowers our team to do the best work of their careers, have meaningful impact, and continue growing personally and professionally. We’re a remote-first team that values high standards, ownership, and thoughtful collaboration. ABOUT PREFECT Prefect builds automation for an unpredictable world. The last decade of automation was about protecting workflows from unpredictability; in the agentic era, unpredictability is the point. Our mission is to give people confidence in automated work, whether that work is a mission-critical data pipeline or a fleet of AI agents. In August 2026, Prefect and Dagster, competitors for eight years, joined forces to build the next generation of automation infrastructure. Today, our ecosystem includes Dagster, the data platform; Prefect, the agent platform; and FastMCP, the leading open-source developer framework for the MCP ecosystem. Together, our open-source and commercial products are trusted by Fortune 500 companies, data innovators, and high-growth technology companies around the world. We think of our culture as the operating system of the company. We’ve carefully created a supportive, high-performance environment that empowers our team to do the best work of their careers, have meaningful impact, and continue growing personally and professionally. We’re a remote-first team that values high standards, ownership, and thoughtful collaboration. ROLE SUMMARY Developer Success is the technical support function for Prefect's customers across the Prefect and Dagster product lines. Its mission is to resolve customer technical issues with the least possible customer effort, and to prevent those issues from recurring. We are hiring a Developer Success Engineer to work the combined Prefect and Dagster support queue. You will diagnose and resolve technical issues in customer environments, own each issue through resolution, and contribute to the documentation, tooling, and product feedback that reduce future volume. You will be trained on both Prefect’s and Dagster’s products. The team is investing in agent-based automation for routine support work, which is moving the engineering focus toward complex diagnosis and escalation. This role is well suited to an engineer who wants to build deep expertise in orchestration and data platform environments and apply it directly with customers. WHAT YOU'LL DO - Clear the failure state, and prevent the next one. Diagnose problems across Prefect and Dagster installations, integrations, deployments, and the cloud and container environments they run in. Find the underlying "why" so your first response resolves the question and pre-empts the follow-ups. Turn what you learn into docs, debugging resources, and tooling that deflect repeat submissions. - Own what's ours; say no clearly to what isn't. Take full accountability for root causes inside our products' domain of control. For problems outside our Scope of Support, issue a principled no that still gives the customer a way forward. Helplessness erodes trust as fast as a wrong answer. - Support your findings, and ask customers to support theirs. Back every diagnosis with evidence and logic. Assume the customer is the expert on their own stack, ask for what you need to troubleshoot both sides of an issue, and explain why you need it. Leave room for the possibility you've missed something. - Give the best possible update every time, and say so when you're still building it. A half-baked answer sent fast is worse than a complete one sent when it's ready; but radio silence is worse than both. When an issue needs to be escalated, you stay the customer's single point of contact, keep them updated on a regular cadence, and close the loop. - Feed the product. File reproducible product issues and surface recurring failure patterns to Engineering and Product. You'll work the queue independently on day-to-day issues and own moderate-complexity problems end to end, including investigations across a customer's cloud environment. You'll ask when the Scope of Support or an escalation path is unclear, and you'll build the judgment to recognize when an issue belongs with Customer Engineering or a CSM instead. We measure the role on Customer Effort Score and resolution time, held in tension: a fast answer that costs the customer effort isn't a good one. Timezone & on‑call: Available to work 09:00 – 18:00 CET (UTC ± 2) and participate in the 24/7 on‑call rotations. YOUR QUALIFICATIONS Must have: - Python fluency at the level of reading and debugging someone else's code, not only writing your own. - Hands-on experience running workloads in at least one major cloud and in containers or Kubernetes, enough to troubleshoot a deployment you didn't build. - Experience with a workflow orchestrator (Prefect, Dagster, Airflow, or comparable) and a strong interest in the data engineering space it lives in. - A track record of technical, customer-facing work: support, solutions engineering, developer relations, or similar. - Clear enough written communication to explain a root cause to a skeptical senior engineer and earn their trust. Nice to have: - Direct experience with Prefect or Dagster specifically. - A history of open-source contribution, in any project. - SQL and data warehouse familiarity. - Experience building support tooling or automation. WHAT TO EXPECT This is a support role. There's a queue, a Scope of Support, and an on-call rotation, and the first job is always the failure state in front of you. If a defined scope and a real customer on the other end of every problem sounds like the point, this is the role. While engineers on this team do contribute code and take on consultative work, the queue comes first. Those opportunities will progressively open up as the agent tooling absorbs the formulaic work. WHAT YOU'LL GET IN RETURN Base Salary Ranges: We offer competitive salary in local currency. Actual base salary within each range depends on the candidate's location, experience, and qualifications. Please keep in mind that equity and benefits are not included in the range provided above. Your recruiter can share more about the salary range for your preferred location during the hiring process. Perks and Benefits: - Remote-first team with flexible-first culture - Equity Stock Options - 401(k) with 5% company match (vests immediately!) - Unlimited PTO - Medical, Dental and Vision insurance - Generous Parental Leave - Life Insurance and Disability benefits - $800/month remote work stipend And that's just the start — for more info check out our benefits and perks on our careers page. BELONGINGNESS AT PREFECT: Belongingness at Prefect is our commitment to ensuring mutual power, access, and opportunity among all groups and individuals who make up our community. We operationalize belongingness through actions large and small on a daily basis, but always with the goal that all groups and individuals can contribute as their most authentic self to the evolution of our product, our team, and our community. Belongingness is also our commitment to bridge with individuals or groups not yet established in our community, acknowledge differences in a way that affirms distinct identities, and allows for a new, more expansive group identity to form. EQUAL OPPORTUNITY AT PREFECT: Prefect is an equal opportunity employer and encourages applications from people of all backgrounds. All applicants will be considered for employment without attention to race, religion, color, sex (including pregnancy, sexual orientation and gender identity/expression), national origin, disability or any other status protected under applicable federal, state, or local laws. Delaney is a real live person (👋🏻) and is looking forward to learning more about you through your application.

About Contra Labs Contra Labs sits at the intersection of human creativity and AI. We partner with leading AI labs and product companies to improve their tools across design, video, development, and beyond. Our research is grounded in how top creatives actually work, studying the patterns behind what gets created, what gets chosen, and what resonates. We believe human input will always be at the center of net new creation, and our mission is to help shape technology so human creativity can be amplified to create what today is unimaginable. By joining the Contra Labs network you gain access to paid projects with some of the most innovative companies building the next generation of creative and AI-powered tools. How It Works This is an application to join the network and be eligible for roles as they arise. Projects are staffed on an as-needed basis, typically 5 to 10 hours at a time, though some may extend into longer engagements. In unique cases, we may have full-time roles available as well. When a project matches your skill set, we'll reach out with details and timeline. To Join the Network - Portfolio review - We'll assess your Contra profile and portfolio for strength in content design, with a focus on ad creative and performance-driven visual content. - Record a 30 second intro video - Share a quick 30 second introduction so we can get to know you. - Complete profile - Once you’ve applied, we recommend completing your profile for better job matches and setting up your wallet so you can get paid when a job comes through. What You May Work On - Evaluate AI-generated 3D scenes, interactive environments, simulations, and spatial experiences for visual and technical quality - Provide clear, structured feedback on scene composition, lighting, materials, physical dynamics, asset integration, interaction, and overall visual coherence - Help define quality benchmarks and evaluation criteria for what great AI-generated 3D experiences should look and feel like - Identify common failure modes in AI-generated 3D work, from broken physics and interactions to poor spatial composition or inconsistent visual feedback - Create reference examples, prototypes, or "golden" outputs that demonstrate best-in-class 3D execution - Contribute to research exploring how AI models can better understand and generate interactive 3D experiences What We're Looking For - Strong portfolio showcasing high-quality 3D design, interactive environments, or spatial experiences - Strong understanding of 3D composition, lighting, materials, animation, and visual coherence - Ability to articulate creative and technical feedback clearly and constructively - Strong 3D design instincts and awareness of contemporary visual culture, 3D trends, and emerging digital aesthetics - Comfort working in fast-paced, experimental environments (experience with AI, 3D tools, or creative technology is a plus)

About Contra Labs Contra Labs sits at the intersection of human creativity and AI. We partner with leading AI labs and product companies to improve their tools across design, video, development, and beyond. Our research is grounded in how top creatives actually work, studying the patterns behind what gets created, what gets chosen, and what resonates. We believe human input will always be at the center of net new creation, and our mission is to help shape technology so human creativity can be amplified to create what today is unimaginable. By joining the Contra Labs network you gain access to paid projects with some of the most innovative companies building the next generation of creative and AI-powered tools. How It Works This is an application to join the network and be eligible for roles as they arise. Projects are staffed on an as-needed basis, typically 5 to 10 hours at a time, though some may extend into longer engagements. In unique cases, we may have full-time roles available as well. When a project matches your skill set, we'll reach out with details and timeline. To Join the Network Portfolio review: — We'll assess your Contra profile and portfolio for strength in content design, with a focus on ad creative and performance-driven visual content. Record a 30 second intro video: — Share a quick 30 second introduction so we can get to know you. Complete profile: — Once you’ve applied, we recommend completing your profile for better job matches and setting up your wallet so you can get paid when a job comes through. What You May Work On: — Evaluate AI-generated games and interactive experiences for gameplay quality, technical execution, and overall player experience — Provide clear, structured feedback on gameplay loops, mechanics, controls, physics, level design, UI, visual feedback, and overall game feel — Help define quality benchmarks and evaluation criteria for what great AI-generated games should look, feel, and play like — Identify common failure modes in AI-generated games, including broken gameplay loops, poor collision or physics logic, unresponsive controls, and disjointed player feedback — Build or evaluate playable prototypes and reference experiences that demonstrate best-in-class game design and technical execution — Contribute to research exploring how AI models can better understand and generate compelling, polished, and playable interactive experiences What We're Looking For: — Strong portfolio showcasing high-quality game design, interactive experiences, or playable projects — Strong understanding of game mechanics, gameplay loops, player experience, controls, and visual feedback — Ability to articulate creative and technical feedback clearly and constructively — Strong game design instincts and awareness of contemporary games, mechanics, interaction patterns, and player expectations — Comfort working in fast-paced, experimental environments (experience with AI, game engines, or rapid prototyping tools is a plus)

Location: Serbia; Greece; Romania; Malta; Estonia; Poland Open to candidates across EU / EMEA time zones (UTC+0 to UTC+3) FP Markets Group of Companies is a well-established multi-regulated broker, founded in Australia, offering traders access to CFD trading on Forex, Indices, Commodities, Stocks and Cryptocurrencies. We are growing and looking to recruit a Full-time Paid Social & Mobile App Growth Manager. You will own two of our biggest growth levers: paid social across web and app, and mobile app growth from install to first-time deposit (FTD). Sitting in the Growth Team (Global Paid Growth), you will set strategy, run a multi-channel budget and decide each month where spend goes, web sign-ups or app installs, based on cost per FTD and return on ad spend (ROAS). You will own the numbers from impression to FTD and beyond. How success is measured Leads and FTDs from paid social (web) and from the app, by source and region. Cost per install, cost per registration and CPA per FTD against target, by region and platform. Install-to-FTD conversion rate. 30 / 90-day ROAS on web and app cohorts. Spend within the approved monthly budget. App store conversion rate (page view to install), keyword rankings and average rating. Responsibilities Strategy and budget Own the paid social and mobile app acquisition strategy, budget and forecast across all target regions. Decide each month how spend splits between web and app objectives, based on cost per FTD, ROAS and install-to-FTD conversion. Manage monthly budget pacing with Marketing Operations, reallocating spend weekly based on CPA, ROAS and cohort quality, and report performance against objectives. Paid social (web and app) Plan, launch and optimise paid campaigns across Meta, TikTok, Snapchat, X, LinkedIn and Reddit, for both web leads and app installs. Own account structure, audiences, bidding and campaign naming across all paid social platforms. Optimise beyond installs and leads to registration, KYC completion and FTD, using value-based and event-based bidding. Run a continuous creative testing programme with the Creative and Content teams: briefs (video, playables, static, store assets), variants, learnings and fatigue tracking. Mobile app acquisition Plan, launch and optimise app install and in-app event campaigns across Apple Search Ads, Google App Campaigns (UAC) and selected programmatic / mobile ad network partners. Source, onboard and manage app networks and agencies, with strict fraud controls. ASO and organic app growth Own App Store and Google Play optimisation: keyword research, metadata, screenshots, preview videos and localisation for priority languages. Run store-listing experiments (Google Play Experiments, Apple Product Page Optimisation) and Custom Product Pages aligned to paid campaigns. Grow ratings and reviews through in-app prompts and review management. Drive web-to-app and cross-channel installs with SEO, Content, CRM and Partnerships (IB/affiliate) teams, including deep links and QR flows. Measurement and attribution Own mobile measurement through our MMP (AppsFlyer): SDK events, deep links, SKAdNetwork / AdAttributionKit, Google Privacy Sandbox for Android, and UTM / tracking-link standards. Keep web (Meta Pixel / Conversions API) and app (MMP) attribution aligned and deduplicated, so paid social results are counted once. Work with Data Engineering on cohort, CAC, LTV, ARPU and ROAS reporting (30- and 90-day) that ties installs and sign-ups to FTD and net deposits. Keep event tracking, postbacks and attribution windows accurate across all partners. Funnel and conversion Partner with Product and Dev on onboarding, KYC and first-deposit flows in the app to lift install-to-FTD conversion. Work with the CRM & Lifecycle manager (Salesforce Marketing Cloud) on push, in-app and email journeys for new app users. Compliance Ensure all ads and app store assets meet the requirements of each regulator (ASIC, CySEC, FSCA and others), platform ad policies for financial products, and Apple / Google app store guidelines, including risk warnings and country restrictions. Out of scope Organic social and community (Discord, Reddit communities, Telegram), owned by the Organic Social & Community Growth Manager. Candidate profile Must have 4+ years in paid acquisition, covering both paid social (Meta, TikTok and at least one other platform) and mobile app user acquisition. Proven experience in online retail trading (FX/CFDs), iGaming or crypto: you understand regulated, high-CPA acquisition, deposit-driven funnels and the ad-platform restrictions these verticals face. Hands-on ownership of a multi-channel paid budget of USD 250k+ a month. Hands-on experience with Apple Search Ads, Google App Campaigns, MetaAds, LinkedIn, X and ASO, with proven results on both App Store and Google Play as well as driving Web/Desktop Leads and FTDs Deep working knowledge of an MMP (AppsFlyer preferred), SKAdNetwork, post-ATT measurement and deep linking, plus Meta Pixel / Conversions API. Strong analytical skills: cohort analysis, LTV modelling, incrementality thinking and ROAS-based budget decisions; comfortable in Excel / Google Sheets and BI dashboards. Experience optimising to down-funnel events (registration, deposit), not just clicks or installs. A track record of running structured creative testing at scale. Fluent English, written and spoken. Nice to have Experience with programmatic and mobile ad networks. Experience with Snapchat, Reddit and other social or new ad channels such as ChatGPT. Knowledge of financial-promotion rules (ASIC, CySEC, FSCA) and Apple / Google policies for financial apps. SQL or BigQuery; familiarity with Salesforce Marketing Cloud. A second language relevant to our key markets (e.g. Spanish, Portuguese, Arabic, Chinese, Thai or Vietnamese). Personal attributes Commercial and numbers-driven: you decide on cost per FTD, not clicks or installs. Comfortable owning a large budget and explaining every euro of it. A fast tester who learns from failures and scales winners quickly. Collaborative with Creative, Product, CRM and Data Engineering. Our offer A welcoming, young and multicultural team with approachable leadership. Real autonomy over a large growth budget, and the chance to contribute to a dynamic business in a growth phase. Support for your ideas and room to put your expertise into the company's best practices. Continuous personal development, a training and development budget, growth with the company and the opportunity to learn from industry leaders. Competitive remuneration, regular salary reviews and performance-based incentive schemes. A vibrant company life: from team activities to global celebrations. Journey to FP Markets Interview with HR Interview with the CMO Interview with the Head of Trading Platform Development Join our team and be a part of a professional, rapidly-growing company operating in a multicultural environment!

Location: San Francisco Workplace: Hybrid Perplexity is looking for an experienced Billing Operations Manager to join our Finance and Accounting team as we scale our enterprise business. You will own the enterprise billing lifecycle, translating complex commercial agreements into accurate, timely invoices and building the processes and controls that support our growth. This is a hands-on role working closely with Deal Desk, Enterprise Sales, Legal, and Customer Success. The ideal candidate combines strong billing and systems expertise with sound judgement, a customer-focused approach, and the ability to bring structure to a fast-moving environment. RESPONSIBILITIES - Enterprise and reseller billing: Own enterprise billing operations from customer and subscription setup through recurring invoicing, renewals, amendments, and cancellations, ensuring accurate and timely billing in accordance with executed agreements. - Contract review: Partner with Enterprise Sales and Deal Desk to review nonstandard billing terms before contracts are signed, assess operational feasibility, and route exceptions for approval. - Complex billing arrangements: Translate approved pricing and contractual terms into billing configurations and schedules, including seat changes, tiered discounting, prorations, co-terminations, prepaid credits, and usage billed in arrears. - Billing inquiries and disputes: Serve as the primary point of contact for enterprise billing questions from customers and internal teams. Investigate discrepancies, coordinate approved credits and rebills, and address underlying causes to prevent recurring issues. - Reconciliations and close support: Reconcile contract, subscription, and usage data to billing output and investigate any billing discrepancies. Support month-end close and audits through billing completeness checks, reconciliations, and supporting documentation. - Integration management: Identifying and resolving any billing system integration failures. - Customer Success and renewal support: Partner with Customer Success, Enterprise Sales, and Deal Desk on renewals, expansions, and changes to customer commitments. Prepare seat, usage, and billing analyses; calculate renewal credits and true-ups; and translate approved agreements into accurate subscription, credit, and invoice updates. Coordinate the resolution of billing issues that could delay renewals or disrupt the customer experience. REQUIREMENTS - Bachelor’s degree or higher in Accounting or Finance. - 7+ years of experience in billing operations, order management, order-to-cash, revenue operations, or a related finance function, including hands-on ownership of enterprise SaaS or subscription billing. - Billing expertise: Demonstrated ability to interpret complex customer agreements and translate them into accurate billing schedules, invoices, and adjustments, including subscription and usage-based arrangements. - Systems proficiency: Hands-on experience with NetSuite, Salesforce, tax engines, and subscription or usage-based billing platforms, with the ability to investigate issues across connected systems. - Accounting fundamentals: Working knowledge of accounts receivable, deferred revenue, and revenue-recognition concepts, including ASC 606. - Resourcefulness, detail-oriented and a motivation for solving problems and finding solutions. - Excellent communication skills, as frequent interaction with both internal and external stakeholders will be required. - Ability to multi-task and prioritize effectively in a fast-paced environment.