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Location: Home based - EMEA We are hiring a General Counsel , reporting to the Chief Operating Officer (COO). This role leads Canonical’s global Legal and Compliance function. This is a unique opportunity for an exceptional and commercially-minded senior lawyer to lead the legal and compliance function of a profitable, fast-growing technology company that is privately held with the intention to list on a public exchange. We’re looking for someone with genuine fluency in the software industry and in open source dynamics, who can translate that insight into clear positions on licensing, commercial contracts and risk, and hands-on execution. Reporting directly to the Chief Operating Officer, you will own Canonical's legal, regulatory and governance posture and lead a distributed team across EMEA and the Americas. Your primary challenge will be to continue building both the team and the architecture: a management layer across two regions, and the governance, contracting and controls a public company needs, in an environment that regularly does things the industry has not done before. You will work closely with our product and engineering teams on licensing and IP questions, with the security function on customer assurance, and you will advise the Board and its committees directly. In our selection process, we prioritize intellect and judgement alongside depth of practice. We are looking for someone with a strong academic background, an active licence to practice, and demonstrable exposure to a multilayered global operational environment. Location: This role will be based remotely in EMEA time zones. The role entails Leading the global Legal and Compliance function: setting it's structure, standards and priorities across EMEA and the Americas. Building and managing a management capability: hire and develop managers, set objectives, review performance against a clear bar, and address under-performance directly. Setting the operating cadence of the function: intake and prioritization of legal work, service expectations with internal clients, and reporting on workload and risk to the leadership team. Owning public-market readiness on the legal side: corporate governance, group and entity structure, delegated authority, policies, disclosure controls and records, in partnership with Finance. Advising the CEO, COO, CFO and the Board, and supporting in Board and committee meetings. Owning the commercial contracting framework: standard templates, negotiating positions, and a deviation and escalation process that makes commitments visible before they are signed. Leading intellectual property and open source licensing strategy, including copyleft, trademark and the terms on which Ubuntu and our products are distributed. Owning the global compliance programme: data protection and privacy, export controls and trade compliance, anti-bribery and corruption, competition and AI regulation. Managing litigation, disputes and regulatory engagement, together with the external counsel panel, its budget and its quality. Advising on M&A, partnerships, strategic alliances and financing as the company grows. What we are looking for in you An exceptional academic track record from both high school and university. A degree in law, or equivalent, and an active licence to practice in an EMEA or Americas jurisdiction. Substantial senior in-house experience in a global technology or software business. Proven experience leading a distributed legal team, including managing managers across regions and time zones. A track record of setting and holding a high performance bar: hiring well, developing people, and dealing with under performance directly rather than waiting it out. Experience building or restructuring an in-house legal function, including deciding what is retained, delegated and sent to external counsel. Technology related experience of: negotiating and owning commercial technology contracts, including enterprise software and subscriptions, channel and reseller agreements, hardware manufacturer agreements, cloud and services advising on open source licensing, including permissive and copyleft licences, and familiarity with how open source communities operate. Experience of, or demonstrable readiness for, public company governance: listing preparation, board and committee support, disclosure and controls. Depth in at least two of: data protection and privacy, IP and trademark, export controls and trade, competition, or disputes. Confidence to respectfully speak up, exchange feedback, hold colleagues accountable, and share ideas without hesitation. Professional written and spoken English with excellent drafting and presentation skills. Excellent interpersonal skills, curiosity, flexibility, and accountability. International travel two to four times a year for company events up to two weeks long. Nice-to-have skills Experience taking a company through an IPO, or practicing as counsel inside a listed company. A technical or engineering background, or fluency in how software is built and shipped. Experience of a subscription or recurring-revenue business model. Experience building or restructuring an in-house legal function. A qualification in more than one jurisdiction. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person. Personal learning and development budget of USD 2,000 per year. Bi-annual compensation review. Company recognition rewards. 40 days annual leave per annum, including public holidays and our All Company holiday periods. Maternity and paternity leave. Team Member Assistance Program & Wellness Platform. Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access. About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing. Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

🎨 Создание качественных 2D-анимаций и эффектов для онлайн-игр; 🎬 Анимация игровых и связанных с игрой графических ассетов;

Location: United Kingdom - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role in a nutshell: As an IT Specialist your role is crucial in ensuring the smooth operation of the company's IT infrastructure and supporting all Chainguardians. You'll be responsible for managing and troubleshooting various IT systems, providing empathetic, detailed, and prompt technical support to employees, implementing/ensuring compliance with security, and collaborating with the entire company. This role requires strong communication skills, self-discipline, and the ability to collaborate effectively with internal stakeholders across many different time zones. What you’ll do: Prioritize excellent customer service to employees; quick response and proper and accurate feedback on technical problems Be our on-site support for our London office by maintaining our network, A/V, and supporting/troubleshooting our IT assets Work with vendors to order, manage, and ship hardware worldwide, and serve as the local point of contact for London-based vendors Manage employee lifecycle through onboarding new Chainguardians with tools, systems, and hardware, collaborating closely with Chainguard's HR/Recruiting team Receive requests through the IT ticketing system, via email, or Slack for assistance on computer-related problems including hardware, software, peripheral, and related equipment; determine severity of problems; troubleshoot, resolve, or escalate to appropriate technical staff as appropriate Provide on-call support (some holidays) What we're looking for: Experience in IT Support, ideally at a remote or startup environment Experience with MacOS and Linux Experience with mobile device management (MDM) Experience configuring and troubleshooting with Neat Hardware A strong understanding of IT Security best practices and a desire to improve them Excellent written and verbal communication skills with both technical and non-technical audiences Some travel required Ability to be in our London office 2 days a week (near Farringdon station), with availability to come in daily if ever needed Proactively self-motivated and self-starter — comfortable taking action independently with minimal oversight Strong ability to cycle between working independently and in a team environment Motivated and eager to participate in growing and changing environments (often wearing "many hats") An eagerness to grow and build a company that's solving an important problem Base Salary Range £47,501 — £55,665 GBP About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: Remote (US) About the company Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We are the global leader in tokenized treasuries, tokenized stocks and ETFs, and are building the future of institutional-grade financial services onchain. Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S. About the role We’re looking for a Senior iOS Engineer to help build Ondo’s mobile experience. You’ll own features from early product discussions through release and improvement, working closely with design, product, and engineers across the stack. Financial software asks a lot of its interface. People need to understand what they own, what an action will do, and whether it succeeded. You’ll bring strong iOS judgment to those moments: making complex flows feel clear while treating security, accessibility, performance, and reliability as core parts of the product. What you’ll do Build and maintain native iOS features in Swift, from architecture and implementation through App Store release. Partner with design and product to turn complex financial workflows into clear, responsive mobile experiences. Shape how the app handles authentication, account state, transactions, errors, and interrupted flows. Work with backend and platform engineers to define reliable app-facing contracts. Improve quality through thoughtful testing, observability, code review, and attention to real user behavior. Help set technical direction for iOS and mentor other engineers through collaboration and feedback. What you bring A track record of shipping and improving production iOS apps with Swift. Strong command of SwiftUI and practical experience with UIKit where it serves the product. Sound judgment about app architecture, asynchronous work, state management, networking, and persistence. Experience designing for security, privacy, accessibility, and performance. The ability to take ownership of an ambiguous problem, make clear tradeoffs, and bring others along. Care for the details users notice and the failure cases they should never have to think about. Experience with financial products, trading, digital assets, or wallets. Experience building apps that handle sensitive account or transaction flows. Familiarity with release automation, analytics, and crash monitoring. What we offer Competitive compensation including but not limited to salary, future token rights, and/or equity (according to your preferences) — We are well-funded and believe that great talent deserves great compensation. Full benefits (medical, vision, and dental) and flexible vacation policy (PTO). Remote-first team across many countries — You will be an early team member helping shape our vision, culture, and design practices. A+ colleagues — Our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Circle, Uniswap. Best-in-class investors — We are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.

Location: Atlanta, GA (Hybrid) The Position CallRail is looking for an Account Specialist that will work with our highest value customers, including healthcare, legal, financial services, and real estate. The Account Executive team is a core revenue engine for the organization, and you will play a key part in our continued expansion into these key verticals. You will be responsible for conducting product demonstrations, implementation calls and effectively selling CallRail's full suite of industry-leading products and services to inbound leads. What You'll Do You will conduct product demos for prospects and convert them to free trials Implement net new leads with CallRail’s suite of products and convert them to customers Uncover business initiatives and pain points to map back to our solutions Research and understand various lines of business and personas Sell on Value and Return on Investment vs. technical functionality What You'll Need Proven track record of exceeding quota as a software Account Executive 2 years of software sales experience as an Account Executive; strong preference for marketing technology sales done over Zoom Experience with high volume B2B sales is a huge plus Amazing written and verbal communication skills Expertise in solution-selling, account planning, and forecasting/pipeline management Experience with Outreach is a plus Proficiency using Salesforce and Google Suite Can work as part of a team and/or independently Knows how to navigate a fast-paced environment BA/BS strongly preferred If you do not meet all the requirements listed, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that aligns with your skills and experience. Additional Perks Healthcare (one option covered at 100% for employees), Dental & Vision Coverage Competitive HSA with company matching Paid parental leave Flexible vacation policy 401K options with company dollar-for-dollar match Employee stock options available from day one $2,000 annual educational allowance Catered lunch every Tuesday * an in-office perk MARTA transportation or office parking expenses covered Employee charitable donation company match, up to $500 annually Regular company outings and events Hybrid work options with $500 office stipend to set up your home office Designated bike storage Learn more: https://www.callrail.com/about/ You Are Welcome Here CallRail understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company's core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions. In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc). Continuous adoption of AI technologies is essential to this role. You will be expected to leverage AI platforms to streamline operations, solve complex problems, and stay ahead of industry benchmarks. *** This position is based out of our Atlanta office. Through December 2026, employees are expected to work in the office on Tuesdays and Thursdays. Beginning in January 2027, CallRail will transition to a 3 day hybrid work model. Employees will work in the office on Mondays, Tuesdays, and Thursdays.

Location: London Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Prospecting & lead generation: Identify and target potential customers through research, networking, and cold calling. Build new relationships with our enterprise customers and prospects to drive revenue, pipeline, and deployment capacity. - Manage relationships: Build and maintain strong relationships with key decision-makers and stakeholders with our largest customers. Serve as their primary point of contact and exceed their expectations. - Negotiating & closing complex deal cycles: Lead negotiations with existing and prospective customers, addressing objections and closing deals. Navigate contracts and agreements quickly and effectively, working closely with legal and finance stakeholders. - Sales strategy & planning: Develop and execute sales strategies to meet or exceed sales targets. Craft tailored sales presentations and proposals that meet our enterprise customers needs. Collaborate with our marketing team to implement effective sales campaigns and presentations. - Help define our sales motion: We’re an early team, and your work will directly impact how our GTM function operates and succeeds. - Collaborate cross-functionally: Work closely with our broader GTM team, as well as our product, technical and operations orgs to deliver our industry-leading product. WHAT YOU'LL BRING - 10+ years of experience in an enterprise customer-facing sales role, identifying and closing large accounts. - Strong communication skills: Exceptional verbal and written communication abilities in English, with fluency in Swedish, Norwegian, or Danish. - Enterprise experience: Experience managing a $1M+ quota, and running end-to-end complex deals. - Analytical mindset: Ability to analyze market trends, identify opportunities, and make data-driven decisions. - Prospecting & lead generation: Proven track record of identifying and targeting potential enterprise clients through research, networking, and cold calling. EVEN BETTER... - Industry knowledge: Familiarity with the AI landscape, key players, and emerging trends. - Experience building GTM strategies: Building sales teams and sales motions from scratch, or from early stage growth. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Canada What The Role Is We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless. Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting. We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help. If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on. What You'll Own You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape: Product recommendations across every surface. Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them. Personalizing the Feed. Deciding which products, editorial content and social content each family sees, and in what order. Personalizing search. Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations. Making Addie (our AI registry assistant) better at recs. Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site. In practice, you will: Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric. Make the modeling and architecture calls that span surfaces and are expensive to reverse. Design the evaluation, offline and online, that tells us a model is good before and after it ships. Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches. Partner with product, design and data to help shape what's worth building. Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org. Who You Are You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey. You bring: Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias. Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend. An ability to take an ambiguous problem and start moving before anyone hands you the full picture. A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings. An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue. AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next. Compensation We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is 299,300 to 372,600 CAD plus a target annual bonus of 20 percent of base. That's total target cash of roughly 359,160 to 447,120 CAD. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: United States What The Role Is We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless. Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting. We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help. If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on. What You'll Own You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape: Product recommendations across every surface. Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them. Personalizing the Feed. Deciding which products, editorial content and social content each family sees, and in what order. Personalizing search. Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations. Making Addie (our AI registry assistant) better at recs. Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site. In practice, you will: Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric. Make the modeling and architecture calls that span surfaces and are expensive to reverse. Design the evaluation, offline and online, that tells us a model is good before and after it ships. Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches. Partner with product, design and data to help shape what's worth building. Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org. Who You Are You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey. You bring: Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias. Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend. An ability to take an ambiguous problem and start moving before anyone hands you the full picture. A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings. An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue. AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next. Compensation We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: Remote; Japan (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Singapore (Remote); Mexico (Remote); USA (Remote); Israel (Remote); Kyrgyzstan (Remote); Bulgaria (Remote); Austria (Remote); India (Remote); Iceland (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Finland (Remote); UK (Remote); Romania (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Poland (Remote); Uruguay (Remote) Workplace: Remote WHO WE ARE Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.   Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! YOUR TEAM AND ROLE Working on the Privacy Functional Team, you'll lead complex projects across key company-wide objectives. You'll protect the privacy of our users using Go, Node.js, Python, and (sometimes) Perl to write pragmatic, performant, testable code, and work on related projects. Potential projects include: - Designing systems for improving our search indexes and AI features without compromising user privacy - Building new features on top of our Tracker Radar https://spreadprivacy.com/duckduckgo-tracker-radar/ crawler to detect emerging privacy threats - Implementing new privacy features and maintaining existing ones, such as our Web Tracking https://duckduckgo.com/duckduckgo-help-pages/privacy/web-tracking-protections and Email https://duckduckgo.com/duckduckgo-help-pages/email-protection/privacy Protections   As a Senior Privacy Engineer, you'll own major components of our privacy technology, taking responsibility for their maintenance and improvement over time. A key part of the role will also be participation in our privacy review and audit processes, ensuring that all product developments align with our privacy principles. In time, you'll formally mentor other engineers, supporting their career growth and the growth of the Privacy Team at DuckDuckGo. ABOUT YOU - Ability to lead and collaborate on high-impact and complex projects from proposal through post-mortem. - Skills to wrangle vague problems, propose innovative solutions, and execute them effectively, involving others when necessary. - Experience working on privacy solutions in an engineering capacity (e.g. tracker blocker, differential privacy, or similar technology). - Deep technical understanding of online privacy threats and the existing solution space to protect against them. - Proficiency in any of the following: Go, Node.js, Python, Perl. - Excellent communication skills. You can validate your decisions and communicate them clearly to a variety of audiences, including non-technical stakeholders. COMPENSATION $178,500 USD annually and stock options. Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.   Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.   Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances. HIRING PROCESS Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire. DIVERSITY, EQUITY AND INCLUSION DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request. PLEASE NOTE THAT: - You’ll be required to attend meetings on camera via video conferencing - Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. - While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. - A successful candidate must pass a background check as a condition of joining the team. - By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. Disclosure Statement: Use of AI in Hiring Process As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process. Key Principles: - Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes. - Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. - Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo! #LI-DNI

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Data Products integrates GitLab and third-party SDLC data, and builds the dashboards, APIs, and data products that turn it into trusted, interoperable intelligence for customers and internal teams. This is a 0 to 1 team and we are hiring for a foundational engineering role. That means you bring technical leadership through ambiguity, helping figure out what to build, making the foundational design decisions, and keeping delivery moving while the picture is still forming. You own the full lifecycle of what ships and stand behind it. What you'll bring Proven ability to influence as a Staff owning product or platform systems end to end across multiple engineering and product teams. High agency, i.e finds the owner, clarifies the path, makes the call, and keeps pushing until the work lands. Force multiplier and raise the people and the codebase around them Deep full-stack expertise, including strong proficiency in Go, Ruby and Node . Depth in at least one of analytics and metrics platforms, graph data systems, CDC and warehouse integration. Hands-on experience building production AI-powered tool orchestration. Experience operating multi-tenant systems across SaaS and self-managed deployment. Direct communicator who builds alignment across teams. Bias to write things down and make reasoning legible. What you'll own Architect how GitLab and third-party data is ingested, modeled, and synced into the knowledge graph as a near-real-time graph of the development ecosystem. Lead integration with external systems for business context (Jira, observability tools, Zendesk, ServiceNow), indexed into the graph. Architect the Data Marketplace so customers consume GitLab data through Snowflake, Databricks, and BigQuery with no engineering dependencies. Publish GitLab observability as OpenTelemetry and broker the data-sharing APIs. Define operational readiness for everything the team ships across GitLab.com, Dedicated, and Self-Managed. Translate an ambiguous 0 to 1 problem space into concrete, iterable roadmaps in partnership with Product, Design, and the graph backend team. Resolve cross-team dependencies across graph backend, AI Platform, and Infrastructure without escalating everything upward. Mentor senior and intermediate engineers through design reviews, pairing, and code review. Create organizational leverage through speed. You identify systemic bottlenecks, simplify processes, and design systems that dramatically improve execution velocity. About the team Data Products work across three surfaces: Dashboard and Reporting Framework Builds AI-native dashboard components so customers and internal teams can see engineering health and GitLab's impact across DORA, VSA, AI Impact, SDLC trends, security, and quality, and launch their own custom dashboards on the same framework. Internal Ingestion Ingests third-party data into the GitLab and power tools like Knowledge Graph, building connectors so that signals from systems like Jira, Zendesk, ServiceNow, and observability tools become one queryable, near-real-time graph of the developer ecosystem. External Ingestion External makes GitLab and Knowledge Graph data consumable outside the product, through marketplace listings, data-sharing APIs and SDKs, and co-branded partner products. We are a new team in a highly ambiguous, high-impact space, and we need engineers who can create clarity while building, make practical tradeoffs, unblock cross-team dependencies, and keep pushing until meaningful customer value lands. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $152,800 — $259,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: United States; Canada; United Kingdom; Germany; The Netherlands Workplace: Remote ClickHouse Labs is an applied research group that works closely with engineering teams to identify challenging problems in database systems and develop novel solutions. Our goal is to advance the state of the art and translate research ideas into real-world system improvements. ABOUT THE ROLE As a Research Scientist at ClickHouse Labs, you will work on high-impact problems at the intersection of database systems, distributed systems, AI, and systems software engineering while collaborating with experienced researchers and engineers. The role covers a broad range of problems across database systems research and engineering, including but not limited to query optimization, execution engines, distributed systems, consensus protocols, materialized views, indexing and data structures, benchmarking, workload analysis, and emerging agentic workloads. In this role, you will work on leading open-source database systems (e.g., ClickHouse, PostgreSQL). You will investigate performance and scalability bottlenecks in production-quality systems, develop new algorithms and system designs, and evaluate them under realistic workloads and hardware configurations. Projects may involve improving query planning and execution, reducing CPU and memory overhead, increasing throughput and concurrency, scaling across distributed deployments, or redesigning system components to leverage modern hardware better. You will work closely with engineers to turn successful ideas into robust implementations that can be deployed and maintained in widely used open-source systems. Researchers are encouraged to publish their work, contribute to open-source projects, participate in leading research conferences, and pursue ambitious projects with strong engineering and research support. RESPONSIBILITIES - Conduct applied research aimed at advancing the performance, scalability, reliability, and functionality of open-source database management systems, including ClickHouse and PostgreSQL. - Design and evaluate new algorithms, data structures, and system architectures for areas such as query optimization, indexing, storage management, query execution, and distributed data management. - Develop high-quality research prototypes and production-grade implementations, and work with engineering teams to integrate successful techniques into open-source and production systems. - Collaborate closely with database engine, infrastructure, and data-plane engineers to identify high-impact research problems and translate research results into practical system improvements. - Analyze large-scale database workloads, performance traces, benchmarks, and production telemetry to identify bottlenecks and optimization opportunities. - Design rigorous experiments and benchmarks to evaluate new techniques across realistic workloads, hardware configurations, and deployment environments. - Communicate research results through technical reports, open-source contributions, internal presentations, and publications at leading database and systems venues (e.g., SIGMOD, VLDB, CIDR). - Contribute to the broader technical direction of ClickHouse Labs by identifying emerging research opportunities and helping shape longer-term research projects. QUALIFICATIONS MINIMUM QUALIFICATIONS - Masters/Ph.D. in Computer Science, Data Science, or a related field, with research experience in databases, distributed systems, systems software, or machine learning systems. - Strong publication record in leading peer-reviewed research venues such as SIGMOD, VLDB, SOSP, OSDI, NSDI, or NeurIPS, with work relevant to databases or systems. - Strong programming and systems-development background, including experience working with database internals or other large systems codebases such as PostgreSQL, MySQL, ClickHouse, or comparable modern DBMSs. - Proficiency in systems programming using C, C++, Rust, Zig, or a comparable low-level programming language. - Strong analytical, experimental, problem-solving, and technical communication skills. PREFERRED QUALIFICATIONS - Experience developing or operating database systems in cloud environments such as AWS, Google Cloud Platform, or Microsoft Azure. - Familiarity with large language models, reinforcement learning, learned optimization, or other techniques at the intersection of machine learning and systems. - Experience contributing to large open-source systems projects, particularly database engines, distributed systems, compilers, or storage systems. BONUS QUALIFICATIONS - Familiarity with modern systems-development and verification tooling, including formal specification or model-checking frameworks such as TLA+/PlusCal, Alloy, or Lean, as well as relevant development tools and languages such as LLVM, eBPF, Python, Go, or advanced profiling and debugging tools (e.g., perf, sanitizers, or tracing frameworks). - Proven track record in optimizing database systems via hardware acceleration (e.g., GPU, FPGA, CXL), with a focus on designing methods for offloading for query execution, storage layers, and data-intensive primitives using frameworks like CUDA, SYCL, ROCm, or specialized FPGA development flows. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Berlin adjoe builds the technologies behind mobile app growth and monetization, challenging the status quo of adtech by redefining how apps acquire users and generate revenue. Our two products, Playtime Arcade and adjoe Ads, sit at opposite ends of the mobile advertising spectrum: rewarded engagement and programmatic in-app advertising. Together they run on 13% of the world’s smartphones, connecting advertisers, publishers, and hundreds of millions of users, with one goal: making mobile advertising work better for everyone in the ecosystem. Next-Gen Machine Intelligence for Auctions & Real-Time Bidding The Data Science Research team builds the foundational algorithms that govern real-time bidding, budget pacing, and allocation mechanics across our products. Operating as a horizontal deep-tech layer, the team leverages advanced AI—specifically reinforcement learning, objective-based optimization, and control theory—to deliver critical systems that perfectly harmonize advertiser ROI, platform health, and user relevance. These frameworks scale adjoe’s products beyond standard industry limitations, utilizing behavioral and transactional data from over 770 million users. The team operates at the intersection of high-load, low-latency engineering, auction mechanism design, and state-of-the-art machine learning. Acting as the company’s internal science bar raiser, they translate complex business constraints into mathematical objectives. The stack is optimized for high throughput: PyTorch for training deep learning and RL models, distributed architectures for large-scale Bayesian inference, Trino and Athena for querying massive user-behavior data lakes, and dedicated GPU infrastructure. The full lifecycle of these AI capabilities is owned by the team—from academic paper translation and offline prototyping to deploying core algorithmic frameworks built to sustain ultra-low latency, real-time production environments evaluating tens of thousands of requests per second. Your Mission & Who We Are Looking For: - PhD or equivalent research depth, with a production track record. You have a PhD in CS, Statistics, Math, or Physics (or an MSc with extensive industry research) and a track record of peer-reviewed publications in fields like Computational Advertising, Auction Theory, Mechanism Design, or Game Theory. You’ve spent 4+ years optimizing complex systems through automated algorithms in AdTech, marketplaces, or high-frequency trading. - You translate research into production, not just prototypes. You distill SOTA research into robust, production-ready code optimized for sub-millisecond latency. At adjoe, that means architecting sophisticated auction mechanics, real-time bidding engines, and allocation algorithms serving millions of requests across a stack built on 770 million users. - Deep expertise in Reinforcement Learning and Optimization. You have hands-on, deep theoretical and technical expertise in objective-based optimization, control theory, or RL applied specifically to bidding, pricing strategy, and budget pacing under extreme production constraints. - Mastering high-dimensional data at scale. Large-scale Bayesian inference and handling sparse, high-dimensional advertising data are core to your work. You are strongly proficient in Python and related stacks, and know exactly how to architect scalable data pipelines to feed real-time optimization models. - Raises the technical bar around them. You lead architectural debates, collaborate tightly with Product Managers and Engineers to map business goals to mathematical objective functions, mentor junior scientists, and drive the team’s research direction without needing a roadmap handed to you. 🌎 WE WELCOME APPLICATIONS FROM TALENT WORLDWIDE AND PROVIDE RELOCATION SUPPORT TO HAMBURG, GERMANY FOR THOSE READY TO JOIN OUR TEAM. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: (EU) We are the creators of a new fintech era! Our mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,500 professionals united by a shared vision of shaping the future. We are building our own blockchain ecosystem to ensure maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies. Our official partners include Juventus, FC Barcelona, Lifecell, FACEIT, and VISA. Join us as an Network Engineer / IT System Administrator. Requirements : Experience & Technical Skills: Experience: 3+ years in a Network Engineer or IT Systems Administrator role. Networking Equipment (Must-have): Hands-on experience configuring and administering Juniper, Fortinet, and Cisco hardware (routers, switches, firewalls, and wireless APs). Network Security & Protocols: Strong proficiency in Fortinet NGFW, VPNs (IPsec/SSL), BGP/OSPF, VLAN segmentation, and traffic engineering. AAA & 802.1X: Practical experience deploying and managing RADIUS (FreeRADIUS, Cisco ISE, or FortiAuthenticator) and 802.1X network access control. SaaS & Automation: IT Services & SaaS: Proven background managing corporate SaaS environments and identity lifecycle (Google Workspace, Atlassian Suite, Slack, SSO/IdP). Scripting & Automation: Hands-on scripting skills (Bash, Python, or PowerShell) and experience using APIs / Webhooks for workflow automation (Jira, Slack, CRM integrations). Language Requirements: Ukrainian and/or Russian: Native or Fluent (C1–C2). Mandatory requirement driven by the need for instant, barrier-free communication during high-severity incidents to minimize MTTR and strictly maintain core SLAs. English: Intermediate (B1–B2) for technical documentation, vendor communication, and raising support cases (e.g., TAC). Nice-to-Have: Vendor certifications such as CCNA/CCNP, JNCIA, or Fortinet NSE 4/5. Responsibilities : Network Equipment & Perimeter: Configure, manage, and harden multi-vendor network infrastructure across Juniper, Fortinet, and Cisco (routers, switches, APs, and Fortinet NGFWs). Access Control & AAA: Administer network authentication systems using RADIUS (FreeRADIUS, Cisco ISE, FortiAuthenticator) and 802.1X for corporate wired and wireless networks. SaaS & IT Services: Manage user identities, access permissions, and system health across core corporate platforms (Google Workspace, Atlassian Suite, Slack, SSO/IdP). Workflow Automation: Build and maintain automation scripts (Bash, Python, or PowerShell) and API integrations connecting internal services (Jira, Slack, CRM). Incident Management & SLAs: Act as Tier 3 escalation support for network and SaaS service outages, ensuring fast MTTR and high availability SLAs. Routing, VPNs & Monitoring: Maintain site-to-site IPsec/SSL VPNs, core routing (BGP/OSPF), and observability tools (Zabbix, Syslog, SNMP) to catch anomalies proactively. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 22 business days of paid leave. Additional days off for national holidays. Health insurance.

Location: United Kingdom Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? You'll own the full sales cycle—prospecting to close—for enterprise and Global 2000 organisations across the UK and Benelux in financial services, telecommunications, energy and utilities, manufacturing, healthcare and life sciences, and enterprise software. Sovereignty and control over where data and models reside are growing priorities across these sectors, and Cohere is well positioned to meet that need with private, on-premise and in-country deployment built for enterprise scale. This is a territory with significant scope to build. You'll shape how we cover Benelux, work closely with our partner ecosystem to extend reach, and take Cohere deeper into UK and Northern European enterprise. Pipeline generation sits with you. This is a hunter role for someone who takes pride in building their own book rather than working leads handed to them. This is a highly autonomous role demanding ownership of multi-million-dollar territories. You'll navigate intricate decision-making processes, educate C-suite stakeholders, and position Cohere as a strategic AI partner. Your insights will directly shape our product evolution, helping us prioritise features that drive enterprise adoption. As a Sr. Account Executive, you will: - Drive net-new customer acquisition across the UK and Benelux via targeted outbound activity, executive introductions, and relationship building with key stakeholders - Support coverage of adjacent Northern European accounts as territory priorities require - Generate and own your own pipeline through disciplined outbound, research and executive prospecting - Be a trusted advisor to customer prospects, deeply understand their challenges & goals, and tailor solutions to drive impact for their businesses - Position Cohere's private, on-premise and in-country deployment options against the data residency, sovereignty and regulatory requirements of UK and European enterprise buyers, including the EU AI Act - Leverage senior-level relationships with executives to drive strategic partnerships and sales opportunities - Align closely with our partners and systems integrators to drive shared revenue and extend reach into target accounts - Work cross-functionally across the business, drawing in the right technical and specialist colleagues as each engagement requires - Collaborate with Cohere's Product and Engineering teams on strategic motions to deliver solutions to large enterprise customers - Collaborate with Sales Development Representatives and Marketing to supplement your own top of funnel activity - Own the full sales cycle – from initial outreach, technical and business validation, through deal close You may be a good fit if you have: - Fluent English; Dutch is an advantage - 10+ years of B2B enterprise sales experience with Global 2000 and large enterprise customers along with experience negotiating & closing transformational 7-figure deals - Depth in at least two of our priority sectors: financial services, telecommunications, energy and utilities, manufacturing, healthcare and life sciences, enterprise software - A hunter mentality - you take pride in generating your own pipeline and are at your best when building a territory rather than managing an inherited one - A proven track record of high performance and exceeding quotas - Fluency with MEDDPICC - you qualify rigorously, can speak to metrics, economic buyer, decision criteria and process, champion and competition on any deal in your book, and keep that detail current in CRM so the forecast holds up to scrutiny - Experience building and maintaining senior-level relationships with executives - Experience selling complex enterprise level solutions, technical products, and private or on-premise deployments (AI/NLP solutions preferred) - Familiarity with UK and European data residency, sovereignty and regulatory requirements as live buying criteria - Experience working alongside channel partners and systems integrators to drive sales cycles and hit shared revenue goals - High tolerance for ambiguity - you'll need to be both a doer and a strategist, comfortable building your own approach rather than working to a pre-set one - Highly organized - this is a high activity role involving multiple team members and you are responsible for keeping everyone on track - Creativity - deal structures can widely vary, strong technical acumen and the ability to creatively structure mutually beneficial partnerships are necessary - Excellent communication skills - you are a great listener, have a knack for understanding what matters most to others & building strong relationships, experienced presenting to a C-suite audience, and feel comfortable speaking to both technical and non-technical customer prospects - Willingness to travel across the UK, Benelux and elsewhere in Northern Europe as required - Existing right to work in the UK FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

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Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. We are looking for a pragmatic Global Equity Tax Specialist to join our Tax team. This role is primarily responsible for global equity tax at Checkout.com http://Checkout.com. You will act as the designated equity tax specialist, supported by the Employment Tax Manager, and will provide practical technical advice while improving the processes, controls and data that support equity activity, payroll, reporting and employee communications. The role sits at the intersection of Tax, Equity, Finance, Payroll, People, Legal, Accounting, Data and external advisers. You will help establish clear ownership, translate technical tax requirements into workable processes, and support the resolution of historic and live compliance matters. This is an excellent opportunity for someone who enjoys balancing hands-on technical work with process improvement, remediation, stakeholder management and continuous improvement in a business that values pace, curiosity and better ways of working. KEY RESPONSIBILITIES GLOBAL EQUITY TAX - Act as the key equity tax specialist within the Tax team, providing practical and commercially focused advice on the employment tax treatment of equity arrangements and related events across their lifecycle. - Provide tax input into plan design, country implementation, employee events, cross-border situations, liquidity activity, system changes and other business initiatives. - Assess the tax treatment of equity activity across relevant jurisdictions, including sourcing, apportionment, withholding, payroll and reporting requirements. - Identify when matters can be handled internally and when specialist local advice is required. - Monitor legislative and business changes affecting equity taxation, withholding, reporting and cross-border treatment, translating them into clear actions for the business. PAYROLL, REPORTING AND COMPLIANCE - Work closely with Equity and Payroll to support accurate and timely withholding, payroll processing, payslip reporting, employee funding and downstream reporting. - Maintain or support the global equity tax compliance calendar, coordinating returns, notifications, reporting packs, approvals and supporting evidence. - Review the quality and completeness of equity tax data used for payroll, reporting, tax calculations and compliance submissions. - Identify, assess and remediate historic or live issues, including missing or late filings, incorrect withholding, incomplete reporting, data weaknesses and participant-level exceptions. - Support tax authority enquiries, audits, voluntary disclosures and other remediation activity, coordinating facts and evidence across teams and external advisers. OPERATING MODEL, PROCESSES AND CONTROLS - Build and continuously improve the global equity tax operating model, including ownership, hand-offs, escalation routes, service expectations and control requirements. - Create and maintain practical country guidance, process documentation, decision logs, filing trackers, data specifications, exception logs and evidence trails. - Help develop a scalable and audit-ready approach to managing equity tax across jurisdictions, while maintaining appropriate flexibility for local requirements. - Support the design and implementation of system or process changes that affect equity tax, payroll, reporting or employee communications. STAKEHOLDER AND ADVISER MANAGEMENT - Partner with Finance, Treasury, Payroll, People, Legal, Equity, Accounting, Strategic Finance, Data and other teams so that equity tax considerations are understood early and embedded into business decisions. - Manage relationships with external tax advisers and other providers where required, setting clear briefs, challenging advice and deliverables appropriately, and converting external support into practical internal processes and retained knowledge. - Develop and maintain employee-facing equity tax guides, FAQs and other explanatory materials, explaining tax mechanics clearly without presenting Checkout.com http://Checkout.com as providing personal tax advice. - Provide clear updates on risks, decisions, dependencies, remediation activity and recommended actions to the Employment Tax Manager and relevant stakeholders. WIDER EMPLOYMENT TAX CONTRIBUTION - Support the Employment Tax Manager with wider global employment tax advisory, compliance, risk management and process-improvement priorities where appropriate. - Contribute to a high-performing team culture by taking ownership, sharing knowledge, challenging existing approaches constructively and improving how we work. SKILLS & EXPERIENCE - Significant experience in global equity tax, gained in an advisory and/or in-house environment. - Strong technical knowledge of the employment tax treatment of equity arrangements across multiple jurisdictions, including cross-border employees, sourcing, apportionment, withholding, payroll and reporting. - Practical understanding of how equity tax interacts with payroll, employee data, finance processes and local compliance requirements. - Experience managing or supporting equity tax compliance across multiple jurisdictions, with sound judgement about when local advice is needed. - Experience identifying and remediating compliance gaps, including missing filings, historic withholding issues, late or inaccurate reporting, participant-level issues and weaknesses in data or controls. - Demonstrable experience building processes, controls, documentation, country guidance and operating models in an environment where responsibilities or ways of working are still developing. - Confidence working with data and financial systems, including the ability to interrogate and validate large datasets and use spreadsheets, equity administration platforms, Workday and other reporting tools effectively. - Experience working with external advisers, with the ability to brief, challenge and manage them effectively while retaining ownership of the technical position and business outcome. - Strong communication and stakeholder-management skills, with the ability to explain complex tax issues clearly and influence a wide range of partners. - A qualified accountant or tax adviser, or equivalent professional experience. - Private-company equity experience would be advantageous, particularly where the role has involved complex data, evolving processes, employee liquidity activity or significant change. - Experience in financial services, payments, fintech or another complex, multinational or regulated environment would be advantageous. - An interest in using approved technology and AI-enabled tools to improve quality, insight and efficiency. - Hands-on, curious and delivery-focused, with sound judgement and the ability to balance detail, pace and competing priorities. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Argentina; Chile ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We're looking for a senior B2B Growth Marketer to build and scale demand generation for ElevenLabs in LATAM Southern Cone. This is a hands-on, in-country role focused on generating enterprise pipeline, growing our brand with technical buyers, and creating programs that become benchmarks for B2B marketing in AI. As our first marketing hire in LATAM Southern Cone, your work will shape how Southern Cone businesses discover, evaluate, and adopt ElevenLabs. The goal is to build repeatable marketing engines that make ElevenLabs the top choice for every enterprise.   WHAT YOU'LL DO - Build integrated B2B marketing campaigns end to end across Southern Cone priority industries — from strategy and messaging through execution and measurement. - Own field marketing for the region: plan and run self-hosted events (dinners, roundtables, workshops), represent ElevenLabs at third-party conferences and sponsorships, and bring in creative, high-touch formats (experiential activations, executive dinners, partner co-hosted sessions) that build pipeline and brand with technical buyers. - Localize and execute programs across ABM, content, webinars, partner/customer marketing, executive branding, product launches, and outbound — choosing the right channel for the problem rather than owning a single function. - Adapt global campaigns and messaging for the Southern Cone market, and feed local insights (buyer behavior, competitive dynamics, regulatory context) back to the global team. - Partner closely with local sales and the global product marketing, growth, and design teams to keep messaging consistent and execute high-impact campaigns. - Own pipeline generation and campaign performance for the market, using data to measure results, run experiments, and continuously improve what works.   REQUIREMENTS - 5 to 7 years of experience at a high-growth technology company - you've built and scaled B2B demand generation programs that created measurable enterprise pipeline, and you know what moved the needle. - Ownership Pedigree: You have implemented growth and marketing projects from start to finish and held yourself accountable for the ROI. - Deep knowledge of the Southern Cone market: its enterprise buyers, media landscape, and business culture, ideally with an existing network. - Work well without much process. This role spans multiple marketing functions and needs someone who sets priorities, spots opportunities, and moves quickly as our first marketer in the market. - Relentless commitment to excellence — a high bar for quality, clarity, and impact. - Curious about AI, follows the technology ecosystem closely, and has exceptional judgment on what makes marketing stand out.   #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Lisbon Workplace: Hybrid ROLE HIGHLIGHTS: - Role: Forward Deployed Backend/DevOps Engineer - Location: Portugal (Lisbon) - Reports to: VP, Forward Deployed Engineering - Working type: Hybrid (On-site at customer locations approx. 50% of time) - Must be eligible and able to attain relevant national and NATO security clearances. - Must be based in-country and native level speaker of the country you're deploying to.   WHY THIS ROLE MATTERS In this role, you are the backend and infrastructure backbone defence and intelligence customers rely on. You deploy ICEYE's intelligence platform into secure (often air-gapped) environments and design the high-performance backend systems that move satellite data at scale — fast APIs, resilient services, tuned databases, automated infrastructure. Our stack: Python and Go services on Kubernetes, PostgreSQL and MongoDB, Terraform and Ansible, CI/CD pipelines that also run offline, cloud (AWS) and on-premises air-gapped clusters, with AI-assisted development as the default. This is a ship-daily role: systems you build run mission-critical workloads analysts use to protect nations. WHAT YOU'LL OWN Platform deployment & operations - Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centres). - Install, upgrade and operate Kubernetes clusters and containerised applications (Docker) in customer environments — cloud and on-premises. - Build infrastructure-as-code (Terraform, Ansible) and CI/CD pipelines that work without external internet access, including offline registries and artifact mirroring. - Troubleshoot deployment and production issues in disconnected environments, from the application layer down to storage and networking. High-performance backend systems - Design and build APIs, services and data pipelines that handle large volumes of SAR imagery and intelligence data with low latency. - Connect ICEYE systems to customer C4ISR infrastructure and intelligence tools through robust, well-designed integrations. - Own database design and performance at production scale (PostgreSQL, MongoDB): schemas, indexing, tuning, replication and backup. - Apply caching, queueing and horizontal scaling patterns deliberately — and capacity-plan for fixed on-premises hardware where you cannot simply scale out. Reliability, security & observability - Build monitoring, logging and alerting that work in restricted environments, so problems are found before the customer finds them. - Harden deployments to meet customer security constraints; own backup, recovery and upgrade paths for systems that cannot go down. - Run the infrastructure behind AI workloads shipped by the team — model serving, vector databases, GPU nodes — reliably and repeatably. Customer engagement & rapid delivery - Work embedded with intelligence analysts, operators and customer IT teams to understand operational and infrastructure requirements. - Rapidly prototype and iterate (working systems first, polish later) to address immediate operational needs. - Conduct hands-on training for customer administrators on platform operations. - Feed deployment experience back to ICEYE's product and engineering teams as concrete technical requirements. WHAT WE'RE LOOKING FOR Must-haves - 5+ years hands-on backend engineering building and operating production systems at scale. - Strong programming skills in Python. You write typed, tested services and you are comfortable with async APIs. TypeScript is a plus. - Proven experience designing high-performance backend systems: APIs, distributed services, messaging, caching and databases under real load. Experience with spatial, search, or vector workloads in Postgres is a plus. - Production experience in both cloud (e.g., AWS) and on-premises environments — this role lives in both. - Deep Docker and Kubernetes: deploy, debug, and upgrade clusters — not only consume them. GitOps and infrastructure-as-code experience. Pipelines that can run offline or on an isolated network are a plus. - Observability as a habit: metrics, logs, and alerts are part of done. - Infrastructure-as-code (Terraform, Ansible) and CI/CD experience, ideally including pipelines that run offline or in isolated networks. - PostgreSQL and/or MongoDB at production scale: schema design, tuning, replication, backup and recovery. - Observability as a habit: metrics, logging and alerting are part of done, not an afterthought. - Builder mindset: ship fast, iterate with feedback, and prioritise working solutions over perfect architecture. - Strong communication and customer engagement, able to work embedded with intelligence analysts / military operators. - Strong spoken and written English, able to explain technical concepts to non-technical stakeholders. - Willingness to travel 40–60% to customer sites within the region. Nice to have - Experience in defence, intelligence, or government operational environments. - Deploying to on-prem data centres and/or air-gapped networks, including offline artifact and registry management. - Event streaming and high-throughput data systems (e.g., Kafka or similar) at production scale. - Deeper Kubernetes: operators, service mesh, multi-cluster, storage and networking internals. - Security hardening and accreditation experience (system hardening baselines, audit and compliance in classified environments). - Familiarity with geospatial data, satellite imagery, or remote sensing. - Experience running infrastructure for AI/LLM workloads: GPU scheduling, model serving, vector databases. - Active use of AI-assisted development tools as part of your daily workflow. - Experience in defence tech (e.g., Palantir, Anduril, Scale AI, similar startups). WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at https://www.iceye.comiceye.com http://iceye.com