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Location: Serbia Workplace: fully About the Client Our client is an international payment services provider. It offers businesses access to card payments, payouts, alternative payment methods and digital asset payment routes through a unified platform. Role Overview Take ownership of the daily work that keeps payments accurate and funds available. You will resolve reconciliation issues, manage liquidity and improve treasury processes in a growing business. The role is fully remote and involves regular communication with international B2B clients. Key Responsibilities Reconcile fiat and crypto transactions against provider statements at daily intervals, investigating and resolving discrepancies. Prepare payment orders, process payments and maintain an accurate operations log. Execute OTC deals and exchange operations, and record commissions and revenue from B2B transactions. Monitor settlement account balances and coordinate daily liquidity needs with the Reconciliation and FP&A teams. Maintain operational contact with regular B2B clients on payment and settlement matters. Optimise crypto and fiat infrastructure costs and payment routes. Execute treasury activities across liquidity, FX, trading, staking, hedging and netting. Prepare treasury and payment operations reports and monitor key indicators. Develop internal procedures and policies, and implement automation across treasury and payment operations. Requirements 1–2+ years of experience in financial reconciliation, fiat and crypto payment processing, or operations within a bank back office, PSP, CEX/DEX or crypto wallet company. Strong Excel or Google Sheets skills for large datasets, including lookup functions, pivot tables, filters and data cleaning. Hands-on experience matching transaction datasets, investigating discrepancies, identifying root causes and correcting records. Hands-on experience with OTC transactions is a plus. Languages: English B2, Russian C1. Experience in fintech Key Soft Skills Attention to detail and analytical thinking. Persistence and consistency in routine work. Clear communication and timely escalation of problems. What We Offer Competitive salary aligned with experience Collaborative and transparent team culture High-impact role in a scaling fintech company Recognition of personal milestones and achievements Social benefits

Location: New York City, New York, United States 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. About Tavily (Acquired by Nebius) In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent, but informed. The role We're looking for a Business Analyst to partner closely with our Finance and Sales teams and turn data into decisions. You'll be the owner of the company's most important metrics: revenue (ARR/MRR), bookings, pipeline, conversion, net revenue retention, gross margin and more. Beyond reporting the numbers, you'll uncover the drivers behind them, build the analyses that shape planning and go-to-market strategy, and help leadership answer the critical questions: This is a high-ownership, hands-on role for someone who is as comfortable in a board-deck conversation as in a SQL editor, and who ships analysis that changes what the business does next. Your responsibilities will include: Own the company's core business metrics end-to-end: define them, build the single source of truth, and make sure Finance, Sales, and leadership are all looking at the same numbers. Partner with Finance on revenue recognition, forecasting, budgeting, and board/investor reporting; turn usage and billing data into reliable financial views. Partner with Sales on pipeline health, funnel conversion, win/loss, sales cycle, quota attainment, territory and segment performance, and compensation analytics. Proactively monitor key business metrics, investigate trends and anomalies, and surface actionable insights to stakeholders before they ask. Build and maintain revenue and pipeline models that connect product usage and billing data. Write production-quality SQL and Python to model data, automate recurring reporting, and run analyses at scale. Translate findings into clear recommendations and drive alignment across Finance, Sales, and leadership. Support strategic initiatives: pricing and packaging changes, segment strategy, capacity planning, and go-to-market experiments, with before/after impact measurement. We expect you to have: 5+ years of experience as an Analyst, of which 2+ years of experience as a Business Analyst, FP&A analyst, Revenue/Sales Operations analyst, or equivalent. 2+ years working in a SaaS company; you understand ARR, bookings, NRR, CAC, payback, pipeline coverage, and the metrics that drive a SaaS business. Hands-on experience supporting Finance and/or Sales teams, with a track record of owning metric definitions that the company relies on. Strong SQL and comfort working with large, messy datasets across different sources. Hands-on experience using Python for data analysis and data modeling in a production environment. BSc in Economics / Finance / Statistics / Math / Industrial Engineering or equivalent. Familiarity with modern data tooling (Snowflake/BigQuery, dbt, BI tools like Omni/Looker/Tableau). It will be an added bonus if you have: Experience at an API-first, developer-focused, usage-based, or PLG (product-led growth) company. Experience with usage-based billing and revenue recognition (Stripe, Metronome, NetSuite). Experience with CRM analytics (HubSpot, Salesforce) and sales compensation / quota design. Statistical foundation for experimentation and causal inference. Experience with Airflow or similar orchestration tools. MBA or MSc in a quantitative field. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $179,000 — $224,000 USD 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: Chicago, Illinois Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? As a Mid-Market Relationship Manager, you’ll be at the forefront of growth; turning momentum into mastery. You’ll own a portfolio of fast-growing customers and help them unlock the full power of Fin. We’re building a world-class sales organization; fast, ambitious, and unapologetically driven. At Fin, we do sales differently. We don’t just pitch; we partner. We’re asking our customers to make Fin the heartbeat of their business, and that starts with salespeople who can think bigger, move faster, and win with integrity. We invest deeply in every Relationship Manager’s growth. Development isn’t a slogan here, it’s baked into how we promote, learn, and lead. In a high-velocity environment where ownership, creativity, and ambition are rewarded, you’ll find room to stretch, influence, and make your mark. What will I be doing? Own and grow a portfolio of Fin's mid market customers; driving measurable revenue expansion, retention, and long-term loyalty. Engage with executives and operators to uncover pain points, position AI-driven solutions , and tie Fin's platform directly to business impact. Design and execute territory strategies that go beyond maintenance; targeting upsell, cross-sell, and multi-business unit expansion with clear, data-backed plans. Partner cross-functionally with Marketing, Product, and Customer Success; translating real customer needs into product innovation and GTM alignment. Analyze and communicate performance metrics that show the story behind growth; retention, adoption, and platform expansion. Invest in team excellence through mentoring peers, sharing winning plays, and raising the overall bar for execution and ambition. What skills do I need? 5+ years in a quota-carrying role managing a large book of business (85+ accounts) focused on retention, renewals, and expansion . 3+ years selling SaaS solutions , ideally in complex, high-velocity environments. Proven success navigating procurement processes and influencing enterprise-level decision-makers. Experience selling AI-powered products , with deep knowledge of AI applications and the ability to translate technical capability into customer value. A track record of consistent overachievement; exceeding quota, driving revenue growth and complex renewals. Bonus skills & attributes Sharp communication skills ; written and verbal, tailored to senior stakeholders and technical teams alike. Strong commercial instincts paired with the ability to thrive in a fast-moving, evolving organization. High intellectual curiosity and a growth mindset A trusted advisor mentality ; skilled at building long-term partnerships across multiple levels in complex organizations. Demonstrated leadership , influencing not only within your team but across functions to drive alignment and results. *Proof of eligibility to work in the United States is required. The base salary range for candidates within the Greater Chicago Area is $226,000 to $251,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Prague, Czech Republic; Group career pages; Jobs.cz Workplace: Hybrid At Rohlik, Customer Care is one of the reasons we’re a love brand. Customers regularly praise our service on social media — because we’re fast, human, and we actually care. As a Customer Care Specialist, you’ll join us on a part-time basis, 20 hours per week (full time is also possible), and be on the front line of that experience. You’ll help customers via phone, email and chat, handle the more complex situations (including cases AI can’t solve), and make sure every interaction ends with a customer who feels heard and helped. WHY THIS ROLE IS EXCITING - You’ll represent a brand known for exceptional customer service — and help set the standard every day. - You’ll work with real people and real situations — problem-solving, not scripts. - You’ll handle both inbound and outbound communication, not just replies. - You’ll join a team that supports each other and takes pride in doing things properly. - Hybrid setup: After onboarding (typically 1–2 months), home office is possible — 3 days in the office, 2 days Home Office (for full time).   WHAT YOU’LL DO - Communicate with customers through email, phone and chat (inbound and outbound) - Resolve requests such as delivery time/address changes, item modifications, or contact detail updates - Help customers when something goes wrong — late orders, delivery issues, complaints - Coordinate with couriers to support successful and timely deliveries - Work closely with other teams (Logistics, Procurement, etc.) to solve problems fast - Provide accurate information about products and services - Capture customer feedback and share it to improve our service - Use your authority to compensate complaints with credits within defined limits - Contribute to a positive team atmosphere — Customer Care is a team sport   WHAT WE’RE LOOKING FOR - Experience from customer service or customer-facing roles - German is a must (advanced level) — written and spoken - English OR Czech/Slovak is needed (written and spoken) - Strong communication skills and a naturally customer-oriented approach - Stress resilience and the ability to handle conflict situations calmly - Quick learner, comfortable with basic tools (Google Workspace) - You can think outside the box and find the best solution for the customer - Willingness to work in shifts is required, the role may include work on weekends   WHAT’S IN IT FOR YOU - Fair reward - You’ll get a fixed salary and variable part. Great work is rewarded clearly and fairly. - Good food every day - You’ll enjoy a free lunch every day and fresh fruit & veggies in the office. Because good food fuels great work. - Life, not just work - Hybrid setup: After onboarding (typically 1–2 months), 3 days in the office, 2 days Home Office. And unlimited paid vacation based on trust. - Personal growth - You’ll grow as fast as Rohlik does. Every challenge is a chance to learn and make an impact. - Real impact - What you do here matters. You’ll see your work changing how people eat and live — from day one. - Recognition among colleagues - Your effort won’t go unnoticed. You can recognise others (and be recognised) through peer credits to use in our internal cafeteria. - Xtra membership - You’ll get free Xtra membership and 10% cashback on everything you buy on Rohlik.cz http://Rohlik.cz. - Sport & wellbeing - You’ll stay active with company sports challenges or a subsidised Multisport card. - A team that sticks together - You’ll work with people who move fast, support each other and celebrate wins together. - If this sounds like you…You’re someone who takes ownership, acts fast and gets things done. Ready to bake something great with us?

An international consulting company is looking for a Senior Investment Manager / Investment Director to lead complex investment and M&A projects across oil & gas, metallurgy & mining, technology, and other sectors.

Location: San Francisco, CA; Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is looking for a Senior Software Engineer to build AI-powered developer tools and the platform behind them on our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building tools that make Docker's engineers more productive and the platform that lets teams across Docker prototype, deploy, and scale their own AI developer tools. As a Senior Engineer you will design, build, and operate: - AI-Powered Developer Tools. AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents. - Self-Service AI Developer Tools Platform. Platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools, using the patterns and standards the team sets. You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal and Staff engineers, product engineering teams, and platform teams across Docker. _______________________________________________________________________ WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You are a strong, hands-on engineer who enjoys building at the intersection of AI, developer experience, and platform engineering. You have built software on top of LLMs and AI agents and have a good sense of what works in practice. You care about the people using your tools, and you can tell a tool developers love from one they put up with. You take a feature from a vague request to production: you ask the right questions about requirements, design it sensibly, ship it iteratively, and operate it afterward. You are comfortable in a fast-moving AI landscape and balance quality with pragmatism. You make the engineers around you better through thoughtful code review and by sharing what you learn. _______________________________________________________________________ RESPONSIBILITIES BUILDING AND OPERATING AI DEVELOPER TOOLS - Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation - Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable tools, following the team's patterns and standards - Build systems that help Docker's engineers adopt AI-native development tools - Build integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems - Instrument your tools so the team can measure adoption, effectiveness, and developer satisfaction SELF-SERVICE PLATFORM - Build and improve platform capabilities, including deployment pipelines (ArgoCD/GitOps), observability integration (Grafana), security controls, and cost management, that help teams ship their own AI tools faster - Help reduce time-to-production for new products from weeks to days - Contribute to reliability, security, and performance standards for AI systems, including SLOs, monitoring, and incident response DESIGN AND DELIVERY - Take features and services from requirements to production. Ask about scale, users, and constraints before designing, and write down your assumptions - Write clear design documents for the work you own, and participate in design reviews for the team - Review code thoroughly and share what you learn with the rest of the team - Take part in the team's on-call rotation, and help improve alerts, runbooks, and tooling so the next incident is easier - Follow the AI-assisted engineering practices the team sets: use AI tools critically, validate their output, and stay accountable for what you ship COLLABORATION AND GROWTH - Work with the Senior Manager and the team's Principal and Staff engineers to understand priorities and shape your work - Partner with Infrastructure, Security, and Data teams on integrations and shared standards - Help newer engineers get up to speed on the team's tools, patterns, and practices - Keep up with emerging AI/LLM technologies and agent frameworks, and bring useful findings back to the team _______________________________________________________________________ QUALIFICATIONS REQUIRED - 6+ years of software engineering experience building and operating production systems - Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools - Working knowledge of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows - Experience building and operating scalable backend services, distributed systems, or developer-facing platforms - Experience with cloud-native infrastructure, including Kubernetes, CI/CD pipelines, and observability systems - Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals - Experience building developer tools, platform systems, or internal tools that other engineers rely on - Good product judgment: you weigh developer experience and technical trade-offs, and you ask clarifying questions before committing to a design - Clear written and spoken communication suited to a remote, async-first company - Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments - Comfortable working autonomously in a distributed, remote-first team - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in developer productivity, DevOps, SRE, or platform engineering - Contributions to open source AI tools, developer tooling, or platform engineering projects - Experience with GitOps deployment patterns (ArgoCD) or Grafana-based observability - Familiarity with security and operational practices for production AI systems - Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure) _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Learn Docker's current AI and developer tooling landscape, the team's services, and the architecture decisions made so far - Meet your teammates, including the Principal and Staff engineers, the Senior Manager, and key stakeholders in product engineering - Ship a useful production change in your first weeks, using the team's AI-assisted engineering workflow - Review existing AI tool prototypes and internal experiments to learn what is working and what is not - Shadow on-call and learn the operational profile of the team's services FIRST 90 DAYS - Own a feature or service from design to production with measurable impact, such as part of an AI code review agent, a deployment diagnostic agent, or an on-call assistant - Write the design document for work you own and take part in team design reviews - Contribute to the self-service platform's deployment pipeline, observability integration, or security controls - Take part in the on-call rotation FIRST YEAR OUTLOOK - Be a go-to engineer for one or more of the team's AI tools or platform components - Have shipped multiple production improvements that Docker engineers use every day, with adoption and effectiveness you can point to - Have helped teams outside AI Developer Tools build and run their own tools on the platform - Have taken on larger and more ambiguous work as your scope grows, and helped newer engineers do the same Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $160,900 – $260,700 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Limassol, Cyprus Workplace: fully Sumsub is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets. Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, and Kaizen Gaming. Sumsub is recognized as a Great Place To Work® in the US and rated 4.5 out of 5 on Glassdoor. Our 1,000+ people around the world back it up, too: 92% are proud to be Sumsubers, and 90% say their work is interesting and challenging. We’re looking for a Junior Customer Success Manager to manage a portfolio of business customers, help them get value from Sumsub’s products, and drive customer retention and account growth. What You Will Be Doing: Managing a portfolio of existing customers and acting as their main point of contact, understanding their business goals and building relationships with business and technical stakeholders. Holding regular customer meetings and quarterly business reviews to discuss product usage, success metrics, plans for future periods and next steps for driving relationships. Managing renewals and identifying potential churn risks, working with customers and internal teams to address them. Identifying and developing upsell and cross-sell opportunities based on each customer’s needs. Helping customers get more value from our products by explaining relevant features and guiding them through new functionality. Working with Sales, Solution Architects, Support, Product, and other internal teams to resolve customer issues and follow through on agreed actions. Sharing customer feedback internally to help improve our products and customer experience. About You: Relevant experience in customer success, account management, business development, or a similar client-facing role in B2B SaaS, fintech, payments, or crypto, involving ongoing customer relationships. Understanding of customer retention, renewals, and account growth, with the ability to recognise relevant upsell and cross-sell opportunities. Ability to learn a technical product and explain its features and business value clearly. Ability to analyse customer usage and performance data and turn it into clear insights and recommendations. Strong organisational skills, with the ability to prioritise across multiple accounts, take initiative, and follow through on commitments. Advanced English, with the ability to confidently lead customer calls, present findings, and communicate clearly in writing. Familiarity with KYC, KYB, AML, or fraud prevention would be a plus. What We Offer: Remote-first, trust-based culture. Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours. True flexibility. We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team. Extra time off. Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal. Work that matters. Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online. Compensation. We offer fair and transparent pay, benchmarked to the market. Truly global. We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide. Growth built in. Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums. Team offsites. Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together. Getting you set up. We make sure you have access to the tools and hardware you need to do your work well. Friendly by design. Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun. The hiring stages: TA screening -> Test Assignment -> Hiring Manager Interview -> Final Interview. Sounds like a great opportunity for your career development? Then go ahead and apply! We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively. This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting. The applicable work location will be confirmed early in the recruitment process, and the relevant compensation information for that location will be shared in writing, in line with local requirements.

Location: United States (Remote) Workplace: Remote About the Role Temporal is looking for a Senior Manager, Global Deal Desk to build and lead the function that sits at the intersection of Sales, Finance, Legal, and GTM Operations. This role is responsible for designing and scaling the frameworks, approvals, and processes that power how Temporal structures, prices, and closes complex commercial agreements — across all segments and geographies. As the owner of Deal Desk globally, you'll be the go-to partner for our field teams navigating non-standard deal terms, multi-year structures, consumption-based pricing constructs, and international commercial complexity. You'll bring a systems mindset to deal operations and a bias toward building scalable infrastructure — not just clearing the queue. We're building a GTM Operations function that is AI-native from the ground up. We expect this leader to bring demonstrated, hands-on experience using AI tools to accelerate deal structuring, review workflows, and commercial analysis — not as a future aspiration, but as a core part of how they work today. Responsibilities - Own and scale the Global Deal Desk function, serving as the primary escalation path for non-standard deal structures, pricing exceptions, and complex approvals across all sales segments and geographies. - Design and maintain deal approval workflows, pricing guardrails, discounting frameworks, and escalation policies that enable field teams to move quickly without creating downstream revenue or legal risk. - Lead CPQ strategy, configuration, and governance — partnering with GTM Systems to ensure our CPQ tooling (including Nue) accurately reflects our product catalog, pricing logic, and approval hierarchies. - Own the operationalization of Temporal's consumption-based pricing model within Deal Desk — including how usage commitments, ramp structures, drawdown mechanics, and true-up provisions are documented, reviewed, and enforced in the quoting and contracting process. - Partner with the VP of GTM Operations and Sales leadership to develop commercial frameworks for international markets — accounting for regional pricing, local currency, tax, and legal entity considerations across EMEA, APJ, and other expansion geographies. - Serve as the cross-functional connective tissue between Sales, Finance, Legal, and GTM Operations on deal-level issues — translating commercial intent into executable deal structures that satisfy all stakeholders. - Partner with Finance on revenue recognition implications of non-standard deal terms, multi-element arrangements, and usage-based constructs; escalate appropriately and maintain clean audit trails. - Build and maintain Deal Desk playbooks, templates, and self-serve resources that reduce friction for AEs and reduce unnecessary escalations. - Drive adoption and optimization of AI tools within Deal Desk workflows — including AI-assisted contract review, quote generation, deal-structuring support, and commercial analysis. - Own Deal Desk reporting and analytics: deal velocity, exception rates, approval turnaround time, non-standard term frequency, and discount trends — surfacing insights to GTM and Finance leadership. - Recruit, develop, and grow Deal Desk capacity as Temporal scales, including building team structure and operating norms for a globally distributed function. Qualifications - 7+ years of experience in Deal Desk, GTM Operations, Sales Operations, or a related commercial operations function, with direct ownership of deal structuring and approval workflows. - Consumption-based business model expertise: proven experience designing or operationalizing Deal Desk processes for consumption, usage-based, or hybrid pricing models — including quoting ramp structures, commitment tiers, true-up mechanics, and the downstream revenue recognition implications of non-standard consumption constructs. - CPQ ownership: hands-on experience administering and evolving a CPQ platform (e.g., Nue, DealHub, Conga, or equivalent) — including product catalog management, pricing rule configuration, approval workflow design, and cross-functional governance. - International markets experience: demonstrated experience structuring and approving deals across multiple geographies, with working knowledge of the commercial, legal, and tax considerations that vary by region (e.g., local currency, local entity contracting, regional pricing strategies, VAT/GST treatment). - Proven AI-native operating style: hands-on experience using AI tools — such as ChatGPT, Gemini, Notion AI, contract intelligence tools, or purpose-built GTM AI — to accelerate deal review, generate quotes, analyze commercial data, or automate repeatable Deal Desk tasks. We want to see how AI is embedded in how you work today, not theoretical familiarity. - Deep understanding of SaaS commercial constructs: multi-year agreements, ramp deals, ELAs, co-termination, consumption commitments, and the interplay between deal structure and revenue recognition under ASC 606. - Strong cross-functional instincts — able to build trust and work credibly with Sales, Finance, Legal, and GTM Operations simultaneously, and to translate competing interests into workable commercial outcomes. - Highly analytical, with the ability to identify trends in deal data, quantify risk in non-standard terms, and communicate findings clearly to senior leadership. - Demonstrated ability to build scalable processes, playbooks, and policies — not just solve individual deal problems. - Experience hiring and developing Deal Desk or commercial operations talent is a strong plus. - Salesforce experience required. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States (Remote) Workplace: Remote About the Role The Director of Marketing Operations at Temporal will build and run the systems, processes, and insights layer that turns marketing activity into developer adoption, pipeline, and revenue. This role owns Temporal's marketing operations function end to end: attribution and funnel measurement, lead scoring and routing, the MarTech stack (AI-native marketing automation, Salesforce, enrichment and intent tools), and campaign execution capacity. This role also serves as a key operational partner to the BDR function, supporting pipeline generation processes, tooling, and reporting. Reporting to the VP of GTM Operations, you will be a core member of the GTM Operations team, lead a growing team plus an external agency operating as a fractional FTE, and partner closely with Marketing leadership, Data & Analytics, and Sales leadership. The ideal candidate has run marketing operations inside a high-growth B2B SaaS company, has hands-on experience implementing AI-native systems and agentic workflows — not just using AI tools day to day — and knows how to build durable, automated systems while still being hands-on enough to unblock a broken form or a stuck sync. You'll manage people and an agency relationship, so this role requires both technical depth and the judgment to know what to build, what to automate, and what to hand off. What You'll Do Insights: establish a trusted framework for marketing impact - Lead the cross-functional pipeline council as a core, ongoing responsibility: surface shortfalls against plan, run and measure experiments, and force prioritization conversations with GTM leaders. - Implement and govern an attribution model that accurately credits marketing channels and campaigns for developer adoption, pipeline generation (workload and new business), and revenue. - Extend attribution to open-source signals specifically: tie OSS engagement (self-hosted usage activity, developer adoption) back to accounts and pipeline, alongside paid, owned, and event channels. - Define and maintain the canonical funnel definitions from awareness through pipeline generation (e.g. S1 New Business Opportunity), coordinating with GTM Analytics on datasets and dashboards. - Use AI-driven analytics and signal processing to surface insights faster and reduce dependence on manual reporting. Process: maximize conversion from signal to pipeline - Own the processes that drive pipeline: scoring models, automated routing logic, and SLA standards from first touch through pipeline conversion — including BDR-specific workflows and handoff processes. - Serve as the operational backbone for the BDR function: support tooling, sequencing, lead flow, and performance reporting to help the BDR team run efficiently and hit pipeline targets. - Establish feedback loops across the pipeline generation process, including rejected lead handling, automated alerts for missed SLAs, and stakeholder feedback. - Identify, scope, and implement agentic workflows that augment or replace manual work across the pipeline generation process — this is a core responsibility, not a stretch goal. Systems: build a marketing systems layer that's reliable and AI-native - Architect and govern the core marketing technology stack around the CRM, with a strong bias toward AI-native platforms that enable automation at scale over legacy rule-based tools. - Lead a successful migration off of Marketo and onto an AI-native marketing automation platform (e.g. Conversion, Inflection), including evaluation, scoping, and execution. - Develop proactive system monitoring and error-handling: automated alerts for sync failures, webhook errors, or data anomalies, so issues get fixed before they hit end users. - Manage compliance, security, and data hygiene: user-role permissions, automated data cleansing, and privacy standards (GDPR, CCPA, CASL) across all systems. Campaigns: unlock scale and automation in how campaigns get done - Build and maintain AI-powered automations, form strategy, audience segments, and lead lifecycle stages that let marketing run campaigns at scale with less manual overhead. - Own campaign structure and tagging consistency to support downstream analytics, keeping operational tracking separate from demand-generating campaigns. - Direct and manage the agency resource for campaign execution work where needed — with an explicit goal of replacing agency hours with automation as AI-native tooling matures. Team, vendor, and org design - Manage 1 direct report (Marketing Operations) and the marketing operations agency relationship (currently a fractional FTE), including scoping, budget, and prioritization of agency hours against internal capacity. - Design and build the case for future team structure expansion: assess where additional headcount, specialized roles, or embedded ops support would unlock the most leverage as the function grows. - Build the case for and implement AI-driven automation that reduces reliance on manual agency hours over time. WHAT YOU'LL BRING - 8–10+ years in marketing operations in a high-growth B2B SaaS company, including experience managing people and/or outside vendors or agencies. - Proven, hands-on experience implementing AI-native solutions in a marketing or GTM operations context — building agentic workflows, deploying AI-native MarTech platforms, or automating complex processes with LLM-based tooling. Using AI tools day to day is table stakes; we're looking for someone who has built with them. - Experience supporting or partnering with a BDR or SDR function, including tooling, sequencing, and pipeline reporting. - Experience with developer-first motions and open-source software are preferred. - Experience evaluating and migrating to AI-native marketing automation platforms (e.g. Conversion, Inflection, or similar) is a strong plus. - Deep, hands-on proficiency in Marketo and Salesforce, including campaign builds, lead lifecycle configuration, and Marketo-to-SFDC sync behavior. - Experience designing and governing attribution models and funnel definitions in a consumption or usage-based business is a strong plus. - Working knowledge of the broader GTM stack (enrichment, intent data, Outreach or similar sales engagement tools) and how it integrates around a CRM. - Familiarity with data privacy and compliance practices (GDPR, CCPA, CASL) as they apply to lead handling and list management. - A track record of building automation and process improvements that meaningfully reduce manual, repetitive work — and a genuine bias toward agentic approaches over headcount or agency expansion. - Comfort operating with imperfect data and evolving definitions, and the judgment to prioritize systematic fixes over one-off requests. - Clear communicator who can partner across Marketing, Sales, and Data & Analytics, and explain technical tradeoffs in plain language. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: European Union Workplace: Remote 🌍 Remote | UTC+8 | Core collaboration hours: 1:00–7:00 PM Manila Time   Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. What’s special about our payment platform: - Built for resilience: a fault-tolerant platform where payments keep flowing even when parts of the system or external partners fail - Integrations: international partners and domestic Philippine payment rails - Money-movement flows: cash-in, cash-out, bill payments, loan disbursement and repayment, and more - Platform approach: one platform serving multiple internal products and teams, with shared APIs, SDKs, and reusable building blocks - Architecture: Kotlin/Spring Boot microservices, Kafka, relational databases, and durable workflow orchestration for long-running payment processes - Reliability by design: idempotency, retries and timeouts toward unreliable external partners, full audit trail - Compliance: regulated environment (BSP), with security and fraud checks built into the flow What you’ll do: - Develop scalable microservices on the JVM with Spring Boot, as part of a team building platform solutions for our banking product. - Design payment services with a focus on DDD, eventual consistency, and resilience to partner and infrastructure failures. - Work with product, QA, security, and operations to release changes under agreed engineering standards. What you’ll own: - Own the design, build, and maintenance of software components supporting the Core Engineering team. - Design and evolve payment flows end to end: processing, routing, status handling, refunds/reversals. - Integrate new payment providers, banks, and partner channels, and handle their failure modes gracefully. - Build and maintain scalable, reliable APIs and services, and contribute to internal SDKs and frameworks that let product teams launch new payment use cases quickly and safely. - Investigate payment incidents (stuck, duplicated, or inconsistent transactions) and make the system self-healing. - Translate functional requirements into technical solutions and maintainable implementations. - Contribute to code and configuration reviews. What makes you a strong fit: - 3+ years of software development on the JVM; good knowledge of Kotlin is an advantage - Experience with Spring Boot in a microservice environment - Experience with domain-driven design and eventual consistency - Experience with payments, banking, or other transactional/financial systems (payment platforms, PSP integrations, wallets, ledgers) - Solid understanding of idempotency, distributed transactions, retries, and timeouts in money flows - Track record in an agile setup with continuous deployment and delivery - Experience with containerization and orchestration in a cloud environment (Docker and Kubernetes preferred, AWS preferred) - Experience with, and enjoyment of, continuous knowledge-sharing within the team - Nice to have: Kafka, workflow engines, ISO 20022 What we offer: Ownership and flexibility - Fully remote work with core collaboration hours from 1:00 to 7:00 PM Manila time (UTC+8) - Company-provided tools and equipment Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - High-performing teams can earn a dedicated beach house week in Southeast Asia   We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Location: San Francisco, CA; Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is looking for a Staff Software Engineer to set the technical direction for key parts of our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building the AI-powered tools and the platform that let teams across Docker prototype, deploy, and scale their own AI developer tools. As a Staff Engineer you will own the technical design and delivery for two areas: - AI-Powered Developer Tools. Design and build AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents. - Self-Service AI Developer Tools Platform. Design and build the platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools. You will set the patterns and standards that let teams experiment, iterate quickly, and graduate successful prototypes into production-ready services. You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal engineers, engineering leadership, product engineering teams, and platform teams across Docker. _______________________________________________________________________ WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You are a hands-on technical leader who works well at the intersection of AI, developer experience, and platform engineering. You have shipped production systems built on LLMs and AI agents, and you can explain what worked and what did not. You think in platforms: you design something once so that several teams can move faster. You have clear opinions about what makes a developer tool good, and sound judgment about when to build, when to integrate, and when not to do either. You are comfortable in a fast-moving AI landscape and balance technical quality with shipping iteratively. Before you design, you ask about scale, users, and constraints rather than assuming them. You lead through influence and mentorship, and the engineers around you get better because you are on the team. _______________________________________________________________________ RESPONSIBILITIES TECHNICAL LEADERSHIP AND ARCHITECTURE - Set technical direction and own the architecture for AI-powered developer tools and the self-service platform within the team's roadmap - Turn ambiguous problems into clear requirements, plans, and staged decisions. Ask about scale, users, and constraints before designing, and write down your assumptions - Establish patterns, standards, and best practices for LLM integration, agent development, and production AI systems that the team and partner teams adopt - Shape platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools - Design reliable, scalable infrastructure for hosting AI agents and developer tools - Recommend AI technology choices, LLM provider strategies, and agent orchestration approaches, and make the trade-offs explicit - Work with the Senior Manager and the team's Principal engineers to align technical decisions with business goals SYSTEMS DESIGN AND IMPLEMENTATION - Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation - Build self-service platform capabilities that reduce time-to-production for new AI tools from weeks to days - Build systems that speed up adoption of AI-native development tools (Claude Code, Codex) across Docker's engineering organization - Set and meet reliability, security, and performance standards for AI systems, including SLOs, monitoring, incident response, and cost management - Design integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems - Take part in the team's on-call rotation and use what you learn to improve alerts, runbooks, and tooling STRATEGIC IMPACT AND INNOVATION - Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks, and recommend what Docker should adopt and what it should not build - Define how we measure AI tool effectiveness, including adoption, productivity gains, and developer satisfaction - Improve AI tool performance, cost efficiency, and developer experience through architectural improvements - Contribute to the technical approach for hardening proven internal tools so other teams across Docker can adopt them - Lead cross-team technical delivery, surface risks early, and work with Infrastructure, Security, and Data on shared standards LEADERSHIP AND MENTORSHIP - Mentor senior engineers on AI/LLM integration patterns, agent development, and platform engineering practices - Lead design reviews and raise the quality of design and code reviews across the team - Create reusable patterns, documentation, and architectural decision records (ADRs) that other engineers build on - Help the team turn good individual AI-assisted engineering practice into shared workflows and controls - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale - Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools - Strong understanding of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows - Track record of designing and building scalable distributed systems and developer-facing platforms - Production experience with cloud-native infrastructure, including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines - Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals - Experience designing developer tools, platform systems, or internal tools that other teams rely on - Track record of clarifying requirements and constraints with stakeholders before committing to a design - Track record of leading complex initiatives that crossed team boundaries, and of influencing without direct authority - Strong product and platform judgment: you weigh business outcomes, developer experience, and technical trade-offs - Clear written and spoken communication suited to a remote, async-first company - Track record of mentoring other experienced engineers - Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in developer productivity, DevOps, SRE, or platform engineering - Contributions to open source AI tools, developer tooling, or platform engineering projects - Experience evolving an internal platform or tool into a widely adopted, production-grade service - Knowledge of security, compliance, and operational practices for production AI systems - Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure) _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Build context on Docker's current AI and developer tooling landscape, including existing AI experiments, LLM provider relationships, and architecture decisions to date - Meet the Senior Manager, the team's Principal engineers, engineering leadership, and key stakeholders in product engineering to understand needs, pain points, and constraints - Review existing AI tool prototypes and internal experiments to learn what is working and what is not - Get hands-on with the team's services and ship a useful production change - Shadow on-call and learn the operational profile of the team's services - Work with the Senior Manager to agree on initial technical priorities FIRST 90 DAYS - Lead the technical framing and delivery plan for one significant problem, from requirements through to production - Document the architecture, technology choices, and integration patterns for that work, including ADRs - Ship a production AI developer tool that sets patterns the team can reuse (for example an AI-powered code review agent, a deployment diagnostic agent, or an on-call assistant) - Contribute to the technical foundations of the self-service platform: deployment pipeline, observability integration, security controls, and cost management - Lead design reviews for your area of the roadmap and begin mentoring other engineers - Take part in the on-call rotation FIRST YEAR OUTLOOK - Be the trusted technical lead for your area of AI Developer Tools, and a sought-after partner for teams across Docker - Deliver at least one material outcome that spans multiple teams or systems - Have multiple production AI tools demonstrating value across Docker's engineering organization - Help build a self-service platform that lets multiple teams build, deploy, and operate their own AI tools with little friction - Define and instrument how the team measures AI tool adoption, effectiveness, and developer productivity impact - Grow other senior engineers into broader ownership, and reduce the number of decisions that depend on a small set of people Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is seeking a Senior Partner Solutions Engineer to join its high growth startup environment and help scale cloud partnerships, with a dedicated focus on joint go to market activities with Cloud Service Providers (CSP) including Amazon Web Services (AWS) and Google Cloud (GCP). The successful candidate will be instrumental in enabling partner success through education, enablement, direct engagement, support of events, and build content that helps our CSP’s position and demonstrate Grafana capabilities. What You’ll Be Doing: Partnering with Channel Sales and Field Sales to convey Grafana’s vision, value, and technical strategy to cloud partners Leading technical engagement with partners to drive deal progression and close opportunities Delivering product demos, technical presentations, and hands-on enablement sessions Develop and deliver training, onboarding, and ongoing education for solutions architects, and technical teams Represent Grafana Labs through technical presentations, live demos, webinars, conference sessions, and regional partner events Create reference architectures, demo environments, solution guides, and presentations that explain the value of Grafana Cloud alongside cloud provider services. Track partner readiness, reuse of technical assets, and progress of joint opportunities, and bring partner insights back to product and GTM teams Shaping and expanding the reach of Grafana Partner University across multiple partner personas Collaborating with internal teams to provide product and competitive feedback Support selling motions like Sell-To, Embedded, and PoweredBy, either directly or jointly with partners Run high impact workshops and 1:1 training to generate and progress pipeline Travelling up to 50% to support cloud partner events, workshops, and field activities What Makes You a Great Fit: Located: United States (Remote) 6+ years in pre-sales or solution architecture, ideally within the observability space Strong experience selling SaaS software across the NORAM region Proven use of MEDDIC or similar qualification frameworks Excellent communication and interpersonal skills, especially in remote, global teams Demonstrated ability to operate in a fast-paced, ambiguous, startup environment Strong judgement, leadership, and problem-solving abilities Passion for education, enablement, and helping others succeed technically Bonus Points For: Experience with CSP’s and a strong understanding of their core infrastructure services. Experience with cloud marketplaces, co-selling, or joint solution launches. Solid understanding of observability and cloud native tooling Background in OSS first companies Experience with Grafana, Prometheus, and Loki Hands-on experience deploying and operating Kubernetes Bachelor’s degree in CS, IT, Math, or related field (or equivalent experience) Compensation & Rewards: In the United States, the OTE (On-Target Earnings) compensation range for this role is $204,000 - $244,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Copenhagen, Denmark Workplace: hybrid About us EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. About the role As an Account Manager at EveryMatrix, you will be responsible for managing and nurturing key client relationships within the iGaming industry. You will serve as the primary point of contact for our clients, ensuring their satisfaction, and identifying opportunities for business growth. This role requires a deep understanding of both the iGaming industry and our software solutions. What You'll get to do: Conduct regular check-ins and business reviews with clients to assess their satisfaction, uncover challenges, and provide solutions. Prepare and deliver detailed reports on account health and revenue forecasts by usage metrics, and financial performance to both the client and internal stakeholders. Collaborate with the other commercial teams in identifying opportunities for upselling or cross selling our software and services to existing clients. Collaborate with the sales team to expand the client portfolio through referrals and networking Stay updated on industry trends and competitors to provide valuable insights to clients. Participate in industry events and conferences to expand your knowledge and network. Manage and develop relationships with clients within the assigned portfolio, acting as their primary point of contact Work with the Regional Account Director to define client objectives, annual plans, and strategic priorities; ensure effective execution and delivery of agreed commercial goals Partner with the Account Director in planning and delivering Quarterly Business Reviews (QBRs), ensuring alignment on client performance, strategy, and growth opportunities Build and maintain strong, long-term relationships with key clients in the iGaming sector Understand client needs, objectives, and challenges, and translate them into tailored solutions Maintain deep knowledge of EveryMatrix products and effectively communicate their value to clients Collaborate with Product, Technical, and Delivery teams to ensure successful implementation and ongoing service quality Monitor client project progress, proactively resolve issues, and keep stakeholders updated Handle escalations professionally, ensuring timely and effective resolution Conduct regular client check-ins and support structured business reviews (QBRs) to drive satisfaction and identify growth opportunities Maintain accurate and up-to-date records in CRM and internal systems Prepare and deliver reports on account performance, revenue, and growth forecasts Collaborate with Sales and other commercial teams to drive upsell and cross-sell opportunities Support business growth through referrals, networking, and industry engagement Stay informed on industry trends, competitors, and regulatory developments Represent EveryMatrix at industry events and conferences What we’re looking for: Bachelor's degree in Business, Marketing, or a related field. A master's degree is a plus. Proven experience as an Account Manager or similar role in the iGaming industry. Good knowledge of the iGaming sector, including industry regulations and trends Excellent communication and interpersonal skills. Ability to work collaboratively with cross-functional teams. Problem-solving skills and a proactive approach to client needs. Proficiency in using CRM software and MS Office Suite.) Willingness to travel for client meetings and industry events when necessary. Performance Expectation: Achieve assigned revenue targets, growth objectives, and client KPIs Deliver against commercial plans and account strategies Contribute to overall client retention, satisfaction, and long-term value creation. What you can expect of us: Hybrid work schedule after your first three months with us (with up to 50 days of work from home per year). Benefit from two Free Fridays each year, limited to one per quarter. Access to Gym. Access to online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training. Access to an Employee Assistance Program through TELUS Health At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time!

Location: Europe Workplace: Remote ABOUT ENEBA At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.    ABOUT THE TEAM  Behind every groundbreaking product, there’s an awesome team - Fraud & Risk Operations is one of the cornerstones of Eneba’s success. This team plays a critical role in safeguarding our platforms, protecting user trust, and ensuring that every transaction - whether on our core marketplace or in other products - is as secure and fair as possible. We’re looking for a Fraud Specialist who is passionate about analyzing fraud patterns, identifying anomalies, and helping us build robust systems that keep our users and platform safe. If you're a self-starter with a passion for finding anomalies and closing loopholes before they become threats - this is your team. Responsibilities - Review alerts daily. Work through fraud and payment alerts and decide whether each case is fraud, a false positive or needs escalation. - Investigate transactions manually. Check orders and accounts for third-party fraud signals (stolen cards, account takeover, linked accounts) and record a clear decision. - Recover good customers. Review blocked orders for false positives and flag patterns that keep blocking legitimate buyers. - Label cases for our risk models. Tag reviewed transactions accurately so our in-house rules and models learn from them. - Answer PSP and law enforcement requests. Reply to payment provider and police requests within SLA and escalate high-impact ones to Analysts. - Support Customer Support. Resolve fraud-related tickets from CS so they can give customers a fast, correct answer. - Prepare dispute evidence. Gather and enrich order data for chargeback representment. - Spot and escalate trends. Raise new attack patterns, spikes or rule gaps to Analysts with the evidence behind them. - Keep SOPs current. Update guides when a process or pattern changes. Requirements - 1+ year in fraud operations. Hands-on case review in e-commerce, fintech, payments or a marketplace. - Third-party fraud knowledge. Understanding of card-not-present fraud, stolen cards and account takeover. - Pattern recognition at scale. You spot inconsistencies across orders, accounts and devices, case by case and through bulk data reviews (spreadsheets, exports, query results), and you explain why they matter. - Root cause thinking. You ask why a case happened and propose a follow-up action, beyond closing the ticket. - Clear written & spoken English. You write precise replies to PSPs, authorities and internal teams. - Daily AI and data tool use. You work comfortably with spreadsheets, back-office tools and AI assistants. - Prepare dispute evidence. Gather and enrich order data for chargeback representment. Nice to have - Payments fundamentals. 3DS/SCA, authorisation flows and decline reasons. - Card scheme rules. Chargeback reason codes and fraud monitoring programs such as Visa VAMP and Mastercard ECM. - SQL or Databricks. Enough to pull and filter your own case data. - Rule-based systems. Experience with risk rules, scores or fraud vendor dashboards. - Digital goods or gaming background. Gift cards, game keys, top-ups. - Cross-functional collaboration. Experience working with Customer Support, Payments, Product or Data teams to resolve cases and improve processes. What it’s like to work at Eneba *Opportunity to help scale a unique product.  *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.

Location: United Kingdom, London 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. About the Advanced Technology Group The Advanced Technology Group (ATG) is a part of Foundational Systems and Experiences Engineering (FSEE) within the Platform Business Group. Established over 20 years ago as part of PlayStation®’s first-party game development studios, ATG has always focused on helping game developers get the most out of PlayStation® hardware - a mission that continues to this day. As a team, we are responsible for large parts of the graphics software stack used by all PlayStation® games, and collaborate with leading engineering teams worldwide, from game developers to hardware vendors, to deliver key platform technologies. What you’ll be doing You will be working on Razor GPU, a GPU performance analysis and debugging tool, for current and future PlayStation® platforms. You will be developing GPU Capture and Replay technology, which allows GPU commands, shaders and resources to be captured, analysed and later reinstated, so that graphics frames can be re-executed on the GPU independently from the running game. You will be developing profiling and debugging features upon this core technology, to help game developers worldwide to realize their creative vision and push PlayStation® hardware to its limits. You will be developing internal features used by platform software and hardware teams, to help build and improve the PlayStation® graphics software stack, as well as diagnose low-level platform issues. You will collaborate with game developers and platform engineers to gain a deep understanding of their needs, with a view to creating efficient, reliable and scalable tools, which are a joy to use for new and deeply technical engineers alike. This is a unique senior engineering role at the heart of PlayStation® GPU technology, where you will work within a highly experienced technology-driven team. We are looking for developers who are passionate about their craft, the products they build, and who would like to make a lasting impact on the PlayStation® graphics software stack, its tooling, and its future. What we are looking for Strong problem-solving skills, including the ability to design and implement highly reliable performant systems in C++. Strong debugging skills, including the ability to understand and reason about complex systems, as well as unpick their interactions. Experience developing on consoles, particularly using console graphics and memory management APIs. An interest in GPU architecture and low-level graphics engineering. Experience using GPU profiling and debugging tools. An eagerness to learn and take responsibility of features end-to-end, from building core systems, to influencing end-user UX design. 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Senior Mechanical Engineer (Manufacturing Test) to develop the mechanical test fixtures and systems that enable reliable, scalable testing of WHOOP products throughout product development and mass production. You will drive fixture development from early concepts through production deployment, co-developing solutions with our contract manufacturing partners and translating test requirements into robust mechanical designs. Working across Hardware Test, Manufacturing, Electrical, Firmware, and Quality Engineering, you'll provide the technical direction and engineering judgment needed to deliver production-ready fixture solutions. RESPONSIBILITIES - Drive mechanical fixture development for complex manufacturing test applications from early concept through validation, production deployment, and sustaining, partnering closely with contract manufacturers on design and execution - Translate test and product requirements into robust fixture designs, making appropriate tradeoffs between performance, repeatability, complexity, cost, cycle time, and maintainability - Design fixtures directly where appropriate and provide technical direction and design review for solutions co-developed with manufacturing partners - Apply strong mechanical engineering principles including tolerance analysis, GD&T, material selection, datum strategy, alignment, DFM, and manufacturing process selection to review and validate fixture designs - Collaborate with contract manufacturers throughout design, sourcing, fabrication, qualification, and production readiness, including on-site support during NPI and product builds - Lead fixture debugging and root-cause investigations, using structured problem solving and data to resolve issues related to tolerance, alignment, wear, loading, repeatability, and fixture performance - Ensure production-ready CAD, drawings, BOMs, assembly instructions, and fixture specifications are accurately maintained through established PLM and change-control processes - Collaborate across engineering teams to define fixture requirements and drive improvements to fixture design, qualification, maintenance, and development practices QUALIFICATIONS - Bachelor's degree in Mechanical Engineering, Mechatronics, or a related technical discipline - 5+ years of experience designing complex mechanical systems, fixtures, automation equipment, or similar hardware for manufacturing or production environments - Strong mechanical design fundamentals including tolerance analysis, GD&T, material selection, manufacturing processes, fastening methods, and DFM - Advanced proficiency with 3D CAD and engineering drawings; SolidWorks experience is strongly preferred - Experience developing mechanical fixtures or equipment from requirements through prototype, validation, release, and production support - Experience co-developing mechanical systems with contract manufacturers, suppliers, or external engineering partners, including technical direction and design review - Experience creating and maintaining production engineering documentation, revision control, and PLM systems such as Arena - Strong mechanical debugging and root-cause analysis skills, with experience using data to characterize and improve fixture performance - Working knowledge of electrical systems, wiring, instrumentation, and PCBAs sufficient to integrate and debug electromechanical test fixtures - Experience using manufacturing data and statistical methods to evaluate repeatability, variation, and fixture capability; familiarity with SPC is preferred - Strong project ownership, communication, and cross-functional collaboration skills, with the ability to independently drive complex fixture-development projects - Familiarity with Python or other scripting languages for engineering analysis, automation, or debugging is a plus - Ability to travel up to 15%, both domestically and internationally - Strong commitment to 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 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 $150,000 - $195,000. 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: California Workplace: onsite Role Overview   We are looking for a Hardware Lab Technician to own the physical side of a large-scale robot data collection operation. You’ll keep the fleet running, build what’s next, and be the person the lab calls when something stops working. This is a hands-on role across research and low-volume production where embodiments, grippers, and camera rigs change fast—and the hardware has to keep up. Day-to-day teleoperation is handled by a dedicated operator team you support; you maintain what they run on and help ensure data quality through reliable, well-calibrated hardware.   Project Details Location: 100% Onsite (Santa Clara, CA, US) Employment: Full-time W-2 Shifts: Monday–Friday, 7AM - 3:30PM or 9AM - 5:30PM  Start Date: ASAP Contract Duration: 12-month contract with possibility of extension Rate: $40 per /hour What You’ll Do Build, wire, and bring up data collection stations — robot arms, multi-camera rigs, workstations, teleoperation hardware, and cable management that survives daily operator use. Keep the fleet running: daily checks, preventive maintenance, calibration routines, and diagnosing faults on arms, hands, and sensors. Swap and integrate end-effectors and grippers, dexterous hands, force/torque and tactile sensors, and RGB-D cameras. Run calibration and firmware procedures across the fleet, and catch drift before it reaches the data. Assemble and iterate prototype hardware coming out of our mechanical and electrical engineers — printed parts, off-the-shelf components, vendor-fabricated parts, and custom harnesses. Soldering, crimping, connectorization, harness building, and PCB rework support at the bench. Own the lab's physical state: spares and consumables inventory, parts kitting, bench and tool organization, and shipping, returns, and RMAs with vendors. Support teleoperators on hardware issues during live collection — triage fast, fix or escalate, and get the station back up. Document what you do. Build sheets, maintenance logs, calibration records, and hardware SOPs the next technician can follow. Help bring up new embodiments and new stations alongside engineers and researchers. What we need to see 3+ years hands-on technician experience in a lab, prototyping, or low-volume build environment — robotics, medical devices, aerospace, semiconductor equipment, or similar. AS in a technical field, a relevant trade or technical certificate, or equivalent hands-on experience. Mechanical assembly fundamentals: fasteners and torque, bearings, belts, linkages, and the ability to read CAD and mechanical drawings (Onshape, SolidWorks, or similar). Electrical hands: soldering including basic SMD rework, crimping and connectorization, harness building, and confident use of a multimeter and oscilloscope. Comfortable in Linux at the command line — SSH into a workstation, run a calibration script, read a log, and tell us what it said. Experience with motors, encoders, and sensor integration, and an understanding of what a bad ground or a marginal cable does to a data stream. Methodical and self-documenting. An undocumented fix is a future outage. Comfortable with ambiguity and frequent change, and able to prioritize when more than one lab needs you at the same time. Able to work on-site in Santa Clara, with flexibility on shift coverage as the labs run extended hours. Ways to stand out from the crowd Humanoid or bimanual platforms (Unitree, Fourier, ALOHA/ARX-class rigs) and dexterous hands. Maintenance and calibration on collaborative or industrial arms — UR, Franka, xArm, ARX, or equivalent. Multi-camera rig build and calibration; RealSense, ZED, or Orbbec-class depth cameras. Running and maintaining FDM or SLA printers, and designing your own simple fixtures and adapters. Light scripting in Python or bash to automate a repetitive bench or calibration task. Experience in a high-throughput lab or production line where uptime or yield was a number someone tracked. Vendor-facing experience: RMAs, lead times, and spares planning. Job reference: #L1-CC1 Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Location: Paris Workplace: Hybrid ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. This position is Paris based. We can support your relocation if needed. TEAM Our Gaming team is made up of hybrid-casual, casual and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games. The Core Central Team provides hands-on support and mentoring to all Voodoo studios looking to create new casual and midcore games, and anything hybrid in between. ROLE We are looking for a Product Data Analyst who is deeply passionate about data-driven decisions, transforming raw data into clear actionable business insights, and who is constantly driving themselves and the team towards completing the next challenge. By joining this team, you will have a strong impact on the business and a unique opportunity to reach hundreds of millions of users with your insights and recommendations. - Providing valuable insights and recommendations to shape game features, economies and future roadmaps. - Proposing AB Test and benchmarking the good practices in competitors games - Overseeing the tracking design and QA processes to ensure accurate data collection. - Developing dashboards and analysis that provide actionable insights into key product and monetization metrics. - Building and maintaining robust data pipelines - Conducting comprehensive product playtests to refine gameplay mechanics and user experience. PROFILE - 2+ years of experience as a Data Analyst/Scientist in a fast‑paced environment, with strong skills in building production‑ready data pipelines. - Master Degree in Statistics / Math / Engineering / Economics or other quantitative fields - Strong SQL with experience querying large, complex datasets - Experience building production-ready data pipelines - Experience working with Tableau – advantage - Experience with data modeling tools (e.g., dbt) – advantage - High level of analytical and rigorous problem‑solving skills with strong attention to detail - Strong sense of ownership, builder’s mindset, and intellectual curiosity - Ability to turn complex concepts into actionable recommendations - Curiosity for games/player behavior and comfort in ambiguity" - AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work BENEFITS - Competitive salary upon experience - Swile Lunch voucher - Gymlib (100% borne by Voodoo) - Premium healthcare coverage SideCare, for your family is 100% borne by Voodoo - Child day care facilities (Les Petits Chaperons rouges) - Wellness activities in our Paris office - Remote days