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Location: Berlin Office; Bosnia; Romania; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Moldova; Kosovo; Portugal; Poland; Serbia; Germany; Austria; Finland; Montenegro; London Office; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. AGENTIC ENGINEERING PLATFORM ENGINEER   Developer Productivity · AI Coding Agents · Developer Platform   🎯 Your main goal will be to keep n8n operating as an AI-native engineering organization where agents are embedded across the development cycle; helping teams plan, build, test, review, learn, and improve. You’ll do this by maintaining and evolving the platform foundations, tools, guardrails, and team processes that make agentic development safe, measurable, and sustainable. Working with Developer Platform, Security, AI/Agents, Architecture, and product engineering teams, you’ll help teams continuously adopt what works from frontier AI and make success visible through faster feedback loops, better quality, stronger resilience, and more learning from what we ship: BUILD THE PAVED ROAD FOR AGENTIC DEVELOPMENT - Define safe task categories for autonomous agents, including what they can attempt, what they should never touch, and where additional review is required. - Design and implement isolated execution environments where agents can work without exposing secrets or accessing sensitive systems unnecessarily. - Build pilot workflows that allow selected Linear issues to be picked up by agents, tested, and converted into useful draft PRs. MAKE N8N'S MONOREPO AGENT-READY - Create and maintain repo instructions, agent playbooks, ownership metadata, coding guidelines, and documentation that improve agent performance. - Continuously improve developer workflows, repo structure, testability, and documentation based on where agents succeed, fail, or create reviewer friction. - Partner with Architecture and senior engineers to define boundaries, dependencies, and areas where agents need more context or tighter constraints. INTEGRATE AGENTS INTO ENGINEERING WORKFLOWS - Integrate agentic workflows with Linear, GitHub, CI, test infrastructure, and developer review processes. - Design PR evidence templates that help reviewers understand what changed, why, what tests ran, what risks remain, and where human judgment is needed. - Partner with Security, AI/Agents, Developer Platform, and product engineering teams to define guardrails for sensitive areas like auth, billing, permissions, and data handling. MEASURE QUALITY, SAFETY, AND ADOPTION - Create benchmarks from real historical engineering tasks to evaluate agent output quality, failure modes, test pass rates, review burden, and production risk. - Define quality signals and adoption metrics such as draft PR usefulness rate, reviewer acceptance rate, CI pass rate, rework rate, and developer satisfaction. - Use data and feedback from pilot teams to improve agent workflows, reduce unsafe attempts, and build trust across engineering. REQUIREMENTS MUST-HAVES - 🧠 Autonomous coding agents: You have experience with autonomous coding agents, AI coding platforms, agent orchestration systems, or internal AI developer tooling. - 🤖 Agentic development experience: You have practical experience building, deploying, or operating AI-assisted or agentic software development workflows that work with developers not besides them. - 🛠️ Strong engineering foundations: You have a strong software engineering background, ideally in platform engineering, developer experience, infrastructure, tooling, CI/CD, or engineering productivity. - 🧭 Ambiguity leadership: You’re comfortable leading a first-of-a-kind technical initiative from problem definition through pilot, adoption, measurement, and iteration. - 🔁 Modern engineering workflows: You deeply understand GitHub, CI, testing strategies, code review, monorepos, issue tracking, developer environments, and release risk. - 🔐 Safety-first judgment: You have strong judgment around permissions, secrets, sandboxing, sensitive code paths, and human-in-the-loop review. - 📊 Measurable systems thinking: You know how to design benchmarks, quality signals, failure-mode tracking, and adoption metrics. - ✍️ Clear written communication: You’re strong at writing repo instructions, playbooks, PR evidence templates, technical proposals, and alignment documents. - 🤝 Cross-functional influence: You have credibility with senior engineers and can influence across Platform, Product Engineering, AI, Security, and Architecture without formal authority. NICE-TO-HAVES - 📦 TypeScript monorepos: You have worked in a large TypeScript, Node.js, or JavaScript monorepo. - ⚙️ Developer platforms: You have experience with GitHub Actions, Linear, automated testing infrastructure, preview environments, or internal developer platforms. - 🛡️ Security-aware platform engineering: You have worked on sandboxing, secrets management, least-privilege access, or sensitive code ownership. - 📏 AI evaluation: You have created evaluation frameworks, benchmarks, or quality metrics for AI-generated code or automation systems. - 🌍 Open-source communities: You have experience contributing to open-source or source-available projects with active developer communities. - 🏢 B2B SaaS context: You understand environments where reliability, permissions, data handling, and customer trust are central. - 🔗 Workflow automation: You’re familiar with workflow automation, integration platforms, AI orchestration, or developer-facing products. Why join us? At n8n, you’ll help define how autonomous AI agents become a trusted part of engineering inside one of Europe’s fastest-growing AI-native infrastructure companies. Your work will shape the platform foundations, safety model, evaluation framework, and developer workflows that determine whether agents can contribute meaningfully to production engineering without lowering the quality bar. You’ll join a remote-first team with high autonomy, high visibility, and a strong builder mindset. Because this is a first-of-a-kind role, you’ll have the opportunity to set direction, influence engineering culture, and create learnings that may inform both internal engineering productivity and n8n’s external product thinking. Sound like a challenge you’re excited to take on? Apply now — and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Bogotá, Colombia Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. Aleph is seeking a strategic, high-energy Programmatic Specialist to represent Spotify across the LATAM region. You don't need to be a hands-on trafficker or optimizer, but you do need to speak the language of DSPs, SSPs, and Ad Exchanges fluently enough to sell with real credibility, handle objections, and guide agencies through the offering. What you'll do Own revenue targets and pipeline growth for Spotify's programmatic solutions (self-serve, PMPs, always-on activations) across LATAM markets. Proactively prospect and identify new opportunities, and unblock stalled ones within agencies and brands — finding the right internal contact, the right angle, and the right moment to move a deal forward. Build and maintain strong relationships with agency programmatic desks, buying, strategy, and digital teams across multiple markets — know how agencies are structured internally and how to navigate them. Evangelize Spotify's programmatic offering to agencies and clients, driving upsell and always-on activations, and supporting partners with any questions along the way. Translate campaign performance data into insights and business narratives that resonate with clients at a strategic level. Train and mentor sales team members on programmatic positioning and talking points. Stay current on programmatic trends, self-serve platform dynamics, and industry best practices to keep pitches sharp and relevant. Represent Spotify/Aleph at industry events, building market presence across the region. Work with third-party vendors and partners to strengthen the offering, and coordinate with internal specialist/operations teams to ensure smooth execution once a deal is won. What you need for this role 5+ years of experience in advertising sales, business development, or account management within programmatic/digital advertising. Solid working knowledge of programmatic fundamentals: DSPs, SSPs, Ad Exchanges, and self-serve platforms — enough to sell and defend the offering with authority, even if you're not the one operating it day to day. Proven track record building agency/client relationships and driving revenue growth across LATAM markets (regional exposure strongly preferred). Strong understanding of agency internal structures and dynamics — you know who to talk to and how to get in the door. Comfort with data at a consumption level: able to read dashboards and performance reports and turn them into a compelling client story (Salesforce, Sheets/Slides, Excel). A genuinely commercial mindset — you love prospecting, relationship-building, and closing; programmatic is your specialty, not just a technical checkbox. Exceptional storytelling, negotiation, and presentation skills; comfortable holding a room at C-suite level. Full professional proficiency in Spanish and English. What will make us really love you Commercial Drive — You love the chase: prospecting, unblocking, closing. Enough Data Fluency to Sell — You can read a dashboard and turn it into a story, even if you're not the one building it. Adaptability — Comfortable moving between a strategic C-suite pitch and a technical programmatic conversation in the same day. AI-Curious by Default — When a new tool shows up, you test it and fold it into how you sell — briefs, pipeline signals, prospecting — rather than just tolerating it. Passion for music, audio culture, or the creator economy — You get why audio matters to brands and to people, and that shows up in how you pitch. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Buenos Aires, Argentina Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. Aleph is seeking a strategic, high-energy Programmatic Specialist to represent Spotify across the LATAM region. You don't need to be a hands-on trafficker or optimizer, but you do need to speak the language of DSPs, SSPs, and Ad Exchanges fluently enough to sell with real credibility, handle objections, and guide agencies through the offering. What you'll do Own revenue targets and pipeline growth for Spotify's programmatic solutions (self-serve, PMPs, always-on activations) across LATAM markets. Proactively prospect and identify new opportunities, and unblock stalled ones within agencies and brands — finding the right internal contact, the right angle, and the right moment to move a deal forward. Build and maintain strong relationships with agency programmatic desks, buying, strategy, and digital teams across multiple markets — know how agencies are structured internally and how to navigate them. Evangelize Spotify's programmatic offering to agencies and clients, driving upsell and always-on activations, and supporting partners with any questions along the way. Translate campaign performance data into insights and business narratives that resonate with clients at a strategic level. Train and mentor sales team members on programmatic positioning and talking points. Stay current on programmatic trends, self-serve platform dynamics, and industry best practices to keep pitches sharp and relevant. Represent Spotify/Aleph at industry events, building market presence across the region. Work with third-party vendors and partners to strengthen the offering, and coordinate with internal specialist/operations teams to ensure smooth execution once a deal is won. What you need for this role 5+ years of experience in advertising sales, business development, or account management within programmatic/digital advertising. Solid working knowledge of programmatic fundamentals: DSPs, SSPs, Ad Exchanges, and self-serve platforms — enough to sell and defend the offering with authority, even if you're not the one operating it day to day. Proven track record building agency/client relationships and driving revenue growth across LATAM markets (regional exposure strongly preferred). Strong understanding of agency internal structures and dynamics — you know who to talk to and how to get in the door. Comfort with data at a consumption level: able to read dashboards and performance reports and turn them into a compelling client story (Salesforce, Sheets/Slides, Excel). A genuinely commercial mindset — you love prospecting, relationship-building, and closing; programmatic is your specialty, not just a technical checkbox. Exceptional storytelling, negotiation, and presentation skills; comfortable holding a room at C-suite level. Full professional proficiency in Spanish and English. What will make us really love you Commercial Drive — You love the chase: prospecting, unblocking, closing. Enough Data Fluency to Sell — You can read a dashboard and turn it into a story, even if you're not the one building it. Adaptability — Comfortable moving between a strategic C-suite pitch and a technical programmatic conversation in the same day. AI-Curious by Default — When a new tool shows up, you test it and fold it into how you sell — briefs, pipeline signals, prospecting — rather than just tolerating it. Passion for music, audio culture, or the creator economy — You get why audio matters to brands and to people, and that shows up in how you pitch. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia Coding agents are only as good as the context they're given. Most explore a repository like a new hire on day one – grepping, opening files, guessing. JetBrains Context replaces that with actual knowledge of your whole codebase and resources, served to any agent that asks. If you want to own the layer that decides what an agent knows before it writes a single line, this is for you. About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do As agents get better at searching for themselves, what is the durable value of a managed retrieval layer? We need someone with an opinionated answer to own JetBrains Context as a product – defining what it is for, who it is for, how we measure success, and where it goes next. This is a hands-on role where you'll manage the product from a terminal and agent session rather than slides. You'll bridge the technical core and cross-functional teams: collaborating closely with engineering and ML teams on indexing pipelines and retrieval quality, working with Air, IDE, and Junie teams on integrations, and partnering with marketing, developer advocacy, sales, and customer success on positioning and adoption. You'll take full ownership of defining problem statements, setting explicit trade-offs, and balancing cost, latency, and freshness across the platform. Day to day, you will: Build and maintain a deep working understanding of chunking, embeddings, index freshness, retrieval, reranking, and agent-facing surfaces. Define and defend an opinionated vision for the product's evolution, including explicit target audiences, use cases, and key success metrics. Translate product strategy into actionable problem statements, priorities, plans, and milestones with an explicit definition of “done”. Communicate product direction clearly to engineering, leadership, cross-functional stakeholders, customers, and prospects. Analyze competing context and code-search products through direct use to establish clear differentiators and identify gaps. Define core operational and product metrics – index freshness, retrieval quality, agent task outcomes, adoption, retention, and unit economics – to guide decision-making. Represent the product externally by sharing roadmaps, publishing updates, speaking to developer audiences, and gathering community feedback. Partner with ML teams on model evaluation and platform teams on service scale, reliability, and cost. What you’ll bring A well-argued point of view on where AI-first development is going and what agents genuinely need from a context layer. Comfort with technical depth across embeddings, retrieval quality, sub-agents, tool-calling, indexing costs, and API design. The habit of using the product you build daily alongside competitors' tools. Communication that adapts to different audiences, from staff engineers and enterprise architects to conference attendees. A data-informed approach that combines telemetry, evaluation results, customer conversations, and market signals. Comfort with ambiguity and a preference for defining a new category over copying an existing one. What you’ll need Proven experience owning a complex developer, platform, or infrastructure product end to end, including strategy and roadmap. Hands-on familiarity with modern AI coding tools and agent workflows. The technical capability to work directly with engineering on retrieval behavior, APIs, data models, and integration surfaces. The ability to define metrics for quality-sensitive products and build evaluation habits that maintain product standards. Experience communicating a product externally through written content, talks, or community engagement. Practical experience with search, retrieval, RAG, developer search, or static analysis at scale is a plus. What success looks like Within your first months, you'll form and share a clear thesis for what JetBrains Context is and is not – one the engineering team recognizes as theirs and leadership can invest in. You'll establish a metrics story that distinguishes real retrieval quality from vanity usage, a roadmap with clear trade-offs, and a documented evaluation of serious competitors. Longer term, success means JetBrains Context becomes a deliberate choice for developers and organizations, agents get measurably better answers because it exists, enterprises adopt it for its governance and scale, and the market clearly understands its unique value because you've communicated it effectively. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-HYBRID #LI-AA1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Berlin Our Story Founded in 2009, we’re one of the world’s leading game studios, and proud of our extremely international team, consisting of more than 50 different nations. We are part of Playtika and the global leader in the category of Hidden Object Games. With June’s Journey, we’re providing joy for millions of players around the world every day. How we work Our aim is to keep doing so for many more years, if not decades. In order to be able to do so, we’ve defined a distinct way of how we’re working at Wooga, so that all relevant aspects intertwine and have a positive impact on the game. No matter if you’re part of a game team or support the success of Wooga as part of a central team, all 250+ employees from around the world can make an impact. We’re proud of the environment we’ve built, and believe you’ll enjoy working with some of the best people in the industry. Our drivers: Speed, Focus, Ownership, and Impact, guide our working style at Wooga and help us make a deliberate choice to focus on what is important to us, while working towards a shared goal. These drivers shape how we work together and what we expect from ourselves and our leaders. As a Mid-level Marketing Data Analyst, you will analyze large-scale data across user acquisition touchpoints in order to generate insightful metrics, custom dashboards, and deep-dive analyses to measure marketing performance. Our marketing teams aim for best-in-class user acquisition strategies, bringing high-quality players to our games while driving innovation around performance marketing and targeted campaigns. We're looking for a passionate, results-oriented talent to join our team, develop new insights to shape data-driven decisions, continuously improve marketing efficiency, and help drive business growth for years to come. About the job Design, build, and maintain automated, interactive dashboards in Tableau to give the Marketing team up-to-date visibility into performance and KPIs. Dive deep into large-scale marketing data to identify key insights that will inform user acquisition strategies and business growth. Help define how best to measure and monitor our marketing channels, creatives, budget allocation, and overall campaign performance. Help to develop an analysis strategy and perform analysis of complex campaigns and A/B tests, both systematically and on a one-off basis. Provide data-driven recommendations to help Marketing Managers optimize their campaigns across various channels (e.g., Facebook Audience Network, Snapchat, TikTok). Partner with Data Engineering on data gathering and signal sharing, integrating 3rd-party data providers (e.g., AppsFlyer, Kochava), democratizing data with reporting tools, AI Agents, and innovating workflows. Communicate actionable results and data-driven findings across the organization clearly and concisely. About you You have recent experience in a data analyst role, preferably in digital advertising, performance marketing, or the app industry. You have experience with (app) Attribution Services (eg: AppsFlyer or Kochava). Literacy on Agentic Workflows, and other productivity and modern self-service data innovations. You can use SQL effectively within an enterprise data environment and you have a good understanding of commonly applied statistical techniques. Basic understanding of programming is not required, but is appreciated. You have strong experience using Tableau (or similar) to build interactive dashboards and visualizations. You have good problem-solving skills and can look for logical connections between marketing spend, consumer behavior, and data. You have a deep understanding of the digital advertising market,including communication patterns as they relate to consumer marketing. You are in tune with user acquisition patterns, and you understand mobile app growth. You know your way around designing, communicating, visualizing, or reporting your results/analysis so they are clear and unambiguous to both technical and non-technical audiences. Please note: Research has shown that some under-represented groups in the gaming industry (eg: women) tend to apply only if they meet every single requirement. Here at Wooga, the desire to learn and the willingness to solve problems are more important to us than your experience on paper. We encourage you to apply even if you do not think that you tick all the boxes - thinking outside of such boxes and embracing the diversity of mindsets and backgrounds is what we believe makes our teams thrive. Our Promise Shape the future! Challenge the status quo and team up with a diverse group of experts (over 50 nationalities!) working on crafting the world’s best games. We offer a generous relocation package and home search support if you are not already located in Berlin. Did we mention that we also cooperate with Kindergartens? Make use of a significant education budget and extra days off for self-development. Join our meet-ups, talks, brown bag lunches, internal trainings, workshops and many others. Enjoy the yoga, mindfulness app, sports and transport subsidies. And a Purpose Day to donate your time to a worthy cause! Did you know that German is the third most commonly taught language worldwide? Learn it too! We offer German language classes for you and your significant other. With our hybrid work model you will work in the office with your teams twice a week, to encourage in-person collaboration and team bonding The other three days you can choose if you want to work from home or from the office. We also offer 10 days a year to work from abroad. At Wooga we are committed to providing a friendly, safe and welcoming environment for everyone who works here or with us, regardless of gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, religion (or lack thereof) and game preferences. Be yourself, we like you that way! By clicking “Submit Application” you acknowledge that you have read our Candidate Privacy Policy

Location: Limassol, Cyprus Workplace: remote Mayflower is an international technology company behind products used by millions of people worldwide. For more than 10 years, we've been growing profitable global businesses, bringing together talented professionals across technology, product, marketing, and operations. We are looking for a Compliance Operations Manager to take end-to-end ownership of traffic and content compliance across one of our digital platforms. You will develop and operate a scalable compliance framework for monitoring affiliate partners and digital traffic sources, identifying prohibited or risk activity, investigating incidents, and continuously improving preventive and detective controls. This is a hands-on ownership role for someone who can independently assess risks, establish effective processes, and turn compliance requirements into practical operational and technical solutions. You will work closely with Product, Engineering, Data, Legal, Risk, and commercial teams. Job Responsibilities Own, develop, and update the traffic and content compliance framework, policies, SOPs, and risk-scoring mechanisms. Audit digital traffic channels, landing pages, and promotional materials to detect prohibited content, cloaking, redirect manipulation, and suspicious attribution patterns. Lead root-cause investigations into compliance violations, coordinate corrective actions, enforce partner restrictions, and track remediation. Partner with Product, Engineering, and Data teams to define requirements for automated risk-scoring, internal compliance tools, and external monitoring solutions. Track compliance metrics, analyse recurring risk trends, and deliver clear, decision-ready reporting to management. Ensure documentation remains audit-ready for payment partners and regulators; stay updated on payment-network and industry regulatory shifts. Provide functional direction and quality standards for compliance analysts, and deliver internal training on monitoring and enforcement processes. You’ll thrive here if you have 5+ years in Compliance Operations, Risk, Fraud Prevention, or Traffic Quality (hands-on experience in traffic compliance, affiliate marketing, and ad networks required). Solid understanding of tracking signals (URLs, redirects, referrers, cookies, device fingerprints) and ability to assess risk using incomplete attribution data. Proven background conducting operational audits, implementing SOPs/compliance policies, and managing root-cause incident investigations. Experienced in team leadership, managing cross-functional initiatives, and translating compliance needs into Product, Engineering, and Data requirements. Ability to define compliance KPIs, build clear executive reports, and make sound, analytical decisions under pressure. Upper-Intermediate English or higher. Nice to Have: Knowledge of payment provider, acquiring bank, or card network compliance standards. Experience detecting cloaking, brand misuse, redirect manipulation, and prohibited content. Familiarity with OSINT, web scraping, SQL/Python, BI tools, or LLM-based automation. Relevant professional certifications (compliance, auditing, risk, or fraud prevention). What Success Looks Like A risk-based traffic and content compliance framework is actively implemented and enforced. High-risk traffic sources and compliance incidents are quickly identified, audited, and resolved. Automated and manual monitoring controls effectively reduce repeat violations. Management receives clear, data-driven visibility into traffic compliance risks. All processes, evidence, and records remain continuously audit-ready for external partners. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: Full remote work. Competitive compensation with a service contract. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. An annual allowance that you can use for home office improvements, sports activities, equipment upgrades, and more—tailor it to what benefits you most. Investment in your development: paid language courses, access to various learning platforms, and a mindfulness benefit, including psychological support with 50% coverage. Career growth in a fast-scaling project with opportunities to influence technical decisions. A culture of recognition: our peer reward program celebrates contributions from across the team. This opportunity is also available for those who already live in Limassol, Cyprus. EU-based employment contract and a 3-year Cyprus work visa. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. Benefits are provided in accordance with the company’s policies and eligibility criteria.

Задачи: — Проектирование и реализация сложных фич: модели, миграции, сервисный слой, API. — Проведение code review и постановка технических стандартов для команды. — Диагностика и устранение проблем производительности: профилирование запросов, кэширование (django-cachalot, Redis), оптимизация ORM. — Проектирование real-time архитектур на Django Channels (WebSocket, ASGI/Daphne). — Работа с Celery: проектирование очередей, мониторинг, обработка сбоев. — Участие в проектировании схемы БД, планировании миграций, оценке технического долга. — Менторинг middle-разработчиков, помощь в росте команды. — Работа с Kubernetes: деплой, диагностика, конфигурация. Требования: — Опыт коммерческой разработки на Python/Django — от 5 лет. — Глубокое понимание Django internals: ORM, middleware, signals, migrations. — Сильные навыки проектирования схемы PostgreSQL: индексы, партиционирование, EXPLAIN ANALYZE. — Опыт с ASGI-стеком: Daphne, uvicorn, Django Channels. — Опыт построения систем на Celery с несколькими очередями и приоритетами. — Понимание принципов 12-factor app, опыт с Kubernetes (kubectl, Helm). — Опыт написания тестов: pytest, factory_boy, моки, интеграционные тесты. — Умение читать и улучшать чужой код, выстраивать процессы review. Будет плюсом: — Опыт с системами реального времени (WebSocket, SSE, long polling). — Работа с S3-совместимыми хранилищами (Yandex Object Storage / AWS S3). — Опыт интеграции внешних платёжных систем или уведомлений (FCM, Telegram Bot). — Применение AI-инструментов для повышения личной и командной эффективности. Условия: — Конкурентная зарплата 280 – 320 тыс. р. — Удалённый формат работы. — Техническое лидерство с реальным влиянием на архитектуру продукта. — Дружный коллектив и открытую культуру обратной связи. — Условия оформления: ИП или СЗ первые 3 месяца, далее рассматриваем оформление в штат. — Важно наличие расчётного счёта в РФ.

Location: Bangalore, India 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. Senior Frontend Engineer An overview of this role As a Senior Frontend Engineer, you'll solve high-scope frontend problems and influence your team's technical and product direction. You'll ship moderately sized features with minimal guidance, improve quality and performance, mentor other engineers, and help establish standards for a high-scale web environment. You'll partner across product, design, backend, and frontend to make sound trade-offs, communicate clearly, and improve how the team delivers software. This is an opportunity to shape product experiences and frontend architecture for a global platform while helping define how modern frontend teams use agentic artificial intelligence. You'll apply artificial intelligence-assisted engineering workflows thoughtfully and help create trustworthy user experiences that incorporate artificial intelligence responsibly in a remote-first, asynchronous organization. What you’ll do Design and ship moderately sized frontend features and improvements with minimal guidance, making pragmatic architectural choices. Turn ambiguous customer and product needs into clear technical plans and intuitive, accessible experiences. Advocate for product quality, security, accessibility, performance, maintainability, and operational readiness throughout the development lifecycle. Establish and improve practices for frontend architecture, styling, component design, testing, observability, maintainable code, and thoughtful use of artificial intelligence and agentic tools in production engineering work. Mentor Associate and Intermediate Engineers, share knowledge, remove technical blockers, and improve team delivery practices. Diagnose and prevent frontend performance and reliability issues at scale using observability and production signals, and participate in incident response or on-call responsibilities under your team's ownership model. Design or review independently buildable frontend surfaces and explicit contracts for data, events, authorization, feature flags, error handling, testing, and performance expectations. Collaborate with product, design, backend, quality, security, and other teams to deliver cohesive customer outcomes. What you’ll bring Experience applying frontend architecture, browser behavior, testing, accessibility, performance, and maintainability practices in a complex product or platform environment. Experience designing or evolving modular frontend boundaries, independently buildable surfaces, component systems, or migration-safe architectures. Experience making pragmatic trade-offs with product and design partners and turning complex requirements into clear user experiences. The ability to lead through technical judgment, collaboration, and clear written communication rather than formal authority. Experience mentoring engineers and improving team practices through code review, design review, documentation, or hands-on collaboration. The ability to work effectively in a remote, asynchronous organization by managing priorities, creating clarity, and communicating decisions in writing. Practical experience integrating artificial intelligence into a feature, workflow, or engineering process, or evaluating its reliability, security, privacy, and appropriate human oversight. Helpful, but not required: experience with Vue, React, Angular, TypeScript, or JavaScript; PostgreSQL, Redis, or object storage; representational state transfer or GraphQL; Kubernetes, Google Kubernetes Engine, Docker, or Google Cloud Platform; Prometheus or Sentry; and Git, GitLab Runner, or GitLab continuous integration and continuous delivery. About the team We own core repository capabilities, from Git command-line operations to web-based code exploration. Our roadmap includes feature and platform development, improvements to existing capabilities, maintainability, accessibility, performance, and workflows for teams using AI-assisted development tools. 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: San Francisco, CA Workplace: Hybrid About Niantic Spatial AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. We're looking for a Senior Computer Vision Engineer to join our Embodied AI team, focused on 3D scene understanding and semantics. A reconstructed environment is only useful to a robot once it knows what is in it: which surfaces are floor, which objects can be grasped, moved, or opened, where one room ends and another begins. You'll work hand in hand with our Research Scientists to take advances in open-vocabulary perception, 3D semantic labeling, and scene graph construction and turn them into reliable capabilities that embodied AI teams can use in production. This is an applied research role. You'll live at the boundary between a research prototype and a production pipeline: adapting methods so they hold up on messy customer captures, lifting 2D semantic signals into geometrically consistent 3D, defining what "semantically correct" means for a downstream policy, and feeding what you learn back into the research agenda. You understand that the difficult part is often not the core method, but the messy inputs, edge cases, operational constraints, and downstream requirements surrounding it. You care about quality, cost, latency, and reliability, and you know that a system is only successful when people can depend on it. This is a hands-on engineering role for someone who wants to build, ship, and own outcomes. You'll help shape both the technology and the product, while remaining close to the code and the problems our customers are trying to solve. What You'll Do - Productionize 3D Scene Understanding Capabilities - Turn research prototypes in open-vocabulary segmentation, 3D semantic and instance labeling, affordance prediction, and scene graph construction into reliable pipeline components and services that operate across varied customer data and environments. - Own End-to-End Output Quality - Ensure that reconstructed environments carry labels, instances, and relationships that are consistent, complete, and correct enough for downstream simulation and policy learning, and define what "correct enough" means for each customer workflow. - Bridge Research and Production - Work day to day with the Embodied AI Research Scientist: pressure-test new methods on real customer data, identify where they break, and bring production and customer constraints back into research planning to prioritize the advances that matter most. - Make Systems Robust to the Real World - Diagnose failures caused by capture quality, scene complexity, scale, calibration, coordinate conventions, and other assumptions that prototypes often leave implicit. - Build Evaluation and Quality Infrastructure - Create datasets, regression tests, quality gates, and benchmarking tools that help the team measure whether changes improve the system. - Improve Performance, Throughput, and Cost - Profile and optimize GPU and distributed workloads, reduce unnecessary reruns, and help establish the economics of running reconstruction at scale. - Work Across the Product Boundary - Partner with Embodied AI product and engineering teams to understand customer requirements and deliver capabilities that fit real training, evaluation, and deployment workflows. Help evolve the representations, tooling, and operational systems that allow reconstructed environments to move reliably into customer applications. What You'll Bring - 5+ years of computer vision experience and a bachelor's degree or equivalent, - Significant experience building and operating production computer-vision, machine-learning, graphics, or data-processing systems. - Deep hands-on experience with scene understanding: semantic, instance, or panoptic segmentation; open-vocabulary detection and segmentation; or vision-language models applied to perception. - Experience taking 2D perception into 3D, such as multi-view label fusion, 3D semantic segmentation, instance tracking across views, or scene graph construction over reconstructed geometry. - Experience delivering reliable computer-vision or 3D systems used by other teams or customers, including the evaluation that proved they worked.. - Practical command of 3D and spatial data, including geometry, camera models, coordinate frames, calibration, and metric scale. - Strong Python and PyTorch skills, with the ability to work in C++ or other performance-oriented environments when needed. - Experience with cloud infrastructure, GPU workloads, distributed processing, or large-scale data pipelines. Nice to Have - Hands-on experience with 3D reconstruction, photogrammetry, structure from motion, Gaussian splatting, neural rendering, or meshing. - Experience with SLAM, visual positioning, localization, or large-scale mapping systems. - Experience with robotics, simulation, or embodied AI applications, in particular how semantic labels are consumed by a policy or a simulator. - Built evaluation or benchmarking infrastructure for perception or reconstruction systems. - Experience optimizing large-scale GPU inference workloads for cost, throughput, or latency. - A publication record or contributions to widely used open-source perception codebases. - Advanced degree in computer vision, robotics, machine learning, or a related field. Competencies - Relentless bias for action. You make decisions and ship as if the company’s success depends on it, because it does. You set the pace, and drive the people around you to rise to it. - Intellectually honest. You know there’s just one job that underpins every other in a startup: find the truth. You are relentless in your pursuit of it, including when it challenges your own convictions, and you raise concerns when you see them — even when it's uncomfortable, and especially when it's unpopular. - Pragmatic. You have no patience for not-invented-here Syndrome and analysis paralysis. You find the fastest path to a working capability without one-way doors that undermine scaling. - Strong systems instincts. You understand that production quality includes reliability, observability, cost, latency, maintainability, and usability—not just algorithmic accuracy. - Comfort with ambiguity. You can make progress when the problem, data, and requirements are still evolving. Compensation & Benefits Base salary range of $229,500 to $255,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Remote; Seattle, WA; London; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Open to hiring remote across North America and London — we also have offices in NYC, San Francisco, Seattle, and London. We're building a tool that makes content creation easy and accessible for all types of creatives. Our users love it. Runway has an actively engaged and growing community of passionate artists and creators worldwide. And we're scaling the systems behind our support team so we can keep delivering delightful experiences as that community grows. We're looking for a Support Systems Engineer who ships production code, not tickets and specs: someone who takes a fix from proposal to merged PR themselves. This role reports directly to the Head of Customer Experience. WHAT YOU’LL DO - Own the AI support agent, our ticketing system and other Support tools end to end: authentication (JWT), response logic, routing, escalation paths and tone, tested in staging before it sees live traffic - Ship daily product changes that remove ticket volume. Recent example: extending automatic refund eligibility to one-click credit purchases, accidental upgrades and month-based proration on annual terms - Build and maintain internal CX tooling as real software, not one-offs: scripts, jobs, dashboards, admin surfaces - Run QA and evals with real test suites and pass/fail rubrics, plus monitoring and alerts for outages, bugs and volume spikes - Own releases: staged rollouts, a regression suite before every ship, clear rollback criteria, a writeup when something reaches production - Build the CX reporting the org runs on: volume, deflection, CSAT, reply and resolution time, escalation accuracy, agent spend. You own the correctness and availability of the queries. - Build and stage the guardrails on refunds, account changes and anything touching money or PII, including the audit trail - Keep the knowledge base accurate and structured for the agent to parse, and manage the handoff into the ticketing system - Keep the CX roadmap and the coverage model current, sequenced against priorities set by the Head of CX, so gaps show up before they bite - Run the day-to-day with our AI platform vendor: weekly working session, joint roadmap, issues filed with reproductions - Carry signal across teams: Product and Engineering on bugs and rollouts, Customer Education on self-serve, community on Discord and the forums, GTM and Analytics on routing and reporting WHAT YOU’LL NEED - 5+ years in Customer Experience, Support Engineering or Support Operations, with real time spent writing code - You ship production code in codebases you didn't write: read TypeScript, trace logic through someone else's service, put up a PR that survives review. Our stack is TypeScript and Node.js on AWS - Hands-on experience building and tuning AI or LLM-powered support workflows: prompt and context engineering, routing, escalation design, evals - SQL experience. You own the reporting, so you shouldn't be waiting on Analytics for it - Code-level experience with a billing or payments API: invoices, prorations, refunds. A large share of consumer tickets live here - Git, PR review, CI, staging and feature flags as your default way of working - Real QA and eval experience: you can define rubrics, build test suites and calibrate against what good looks like - Judgment about where a fix belongs, in code, in the agent or in the knowledge base - A track record carrying signal between support, product and other functions and turning it into action - Comfort managing your own work in a fast-moving environment, high ownership and high autonomy - Genuine interest in AI, creative tools or both WHAT SETS YOU APART The most successful person in this role treats the agent and the systems around it like a product they own. They watch where it fails, ship the fix and check whether it worked. They build reporting people actually use. And they show up with improvements no one asked for yet. FOR YOUR APPLICATION During our interview process, you'll have several chances to get acquainted with the Runway product and use all the features our team has built, and that starts now. As part of your application, instead of a cover letter, we ask that you try out the Runway product, specifically build a custom workflow. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Remote ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The next chapter of Ramp's growth runs straight through the customers we already have: 70,000+ finance teams who adopted us for one thing and haven't yet seen what the rest of the platform can do for them. That is the largest untapped growth opportunity in the company, and Account Management owns it. This is a build role, not a maintain role. You'll carry a book of high-value customers and real latitude over how you grow it. This means deciding which plays to run, which executives to get in front of, which products to lead with. Your ceiling is set by your judgment, operating rigor and urgency. Ramp’s expansion motion is a critical part of our long-term strategy and success, and this role represents an opportunity to help define what that looks like at a world-class business. What You’ll Do - Own growth across a portfolio of 300+ high-value customers - retention, adoption, expansion, and net-new spend on the platform. - Build real relationships with the finance leaders who make the decisions, and connect what they're trying to accomplish to what Ramp can actually do for them. - Generate your own expansion pipeline. The best AMs here don't wait for a buying signal - they create the reason for the next conversation. - Lead Executive Business Reviews that change how a customer thinks about Ramp: from one vendor in the stack to the system their finance function runs on. - Launch new products into your book. Ramp ships relentlessly, and every launch is a reason to open a conversation you couldn't have had last quarter. - Quarterback outcomes across implementation, product, engineering, and CX - on new deals and on escalations, where trust is either earned or lost. - Set the standard. Account Management is still being built here. The playbooks you write and execute are the ones this team runs next year, and that level of ownership translates into more opportunities in the business. What You Need - Minimum 3 years of “hunter” sales experience; either new sale, or hunting within an existing book - Ability to anticipate customers’ needs to identify growth opportunities across various types of accounts - Excellent verbal and written communication skills, as well as interpersonal skills - Organizational, project management, and time management skills - Fluency in AI sales tooling - Ability to self-correct based on core KPIs and innate understanding of performance - High agency and adaptability - no two days are the same, and the only constant is change Nice to Haves - Bachelor’s degree from an accredited university - Experience with financial services sales - Experience at a high-growth startup - Expertise in using Salesforce, Outreach, or other productivity tools BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote, Canada; Remote, United Kingdom; 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 We’re looking for a Principal Engineer with deep expertise in Site Reliability, Backend, or Platform Engineering to help shape the next phase of GitLab Dedicated , our fully managed single-tenant SaaS offering. This highly influential technical leadership role will set direction for how we scale a growing fleet of isolated, customer-specific environments while maintaining the reliability, security, and compliance our customers depend on. You’ll lead platform and operating-model transformation across resilience and failover, tenant orchestration, change management, self-service tooling, and platform integrations. You’ll also help align Dedicated with GitLab’s evolution toward more modular and cell-based architectures, strengthen service ownership, and establish scalable patterns that reduce operational complexity. As a Principal Engineer, you’ll influence across teams, guide complex technical decisions, mentor senior engineers, and help raise the technical maturity of the platform as we scale. What you will do Set technical direction for GitLab Dedicated, shaping architecture and platform strategy as we scale a growing fleet of isolated, single-tenant environments. Lead platform transformations across resilience, failover, tenant orchestration, change management, self-service tooling, and platform integrations. Drive scalable, modular architecture that aligns Dedicated with GitLab’s broader Cells strategy while preserving its security, isolation, and compliance requirements. Strengthen service ownership and operational maturity, helping engineering teams build, operate, and improve the production systems they own. Identify and address systemic reliability and scalability risks using production signals, incident patterns, and architectural insight. Establish reusable platform patterns and automation that reduce operational toil and allow Dedicated to scale efficiently. Lead complex technical decisions across teams, balancing reliability, security, cost, maintainability, and customer needs. Advance engineering excellence across the organization through architectural leadership, mentorship, and influence with senior engineers and engineering leaders. What you will bring Deep expertise in Site Reliability, Platform, Infrastructure, or Backend Engineering, with experience designing and operating large-scale production systems. Hands-on experience with cloud infrastructure, automation, observability, infrastructure as code, and modern production engineering practices. Strong software engineering fundamentals, with experience building production systems or infrastructure tooling in languages such as Go, Ruby, Python, or similar. Strong distributed systems and systems-design expertise, with sound judgment around reliability, failure isolation, scalability, and operational complexity. A track record of technical leadership across multiple teams, setting direction and driving complex initiatives through influence. Experience leading significant platform or infrastructure transformations, including modernization, modularization, or scaling systems through major growth. Experience leading changes that improve how engineering teams own and operate production systems, strengthening reliability, operational readiness, and accountability at scale. Exceptional technical communication and influence, with the ability to build alignment, mentor senior engineers, and guide complex architectural decisions. 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 $223,200 — $380,400 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: Atlanta, GA (Hybrid) The Position CallRail is looking for a Senior Product Manager to own one of our most important integration domains — either our ad platform integrations (Google Ads, Microsoft Advertising, Meta) or our CRM integrations (Salesforce, HubSpot, and the vertical systems our customers run their businesses on). These integrations are where CallRail's data becomes real value for customers: closing the loop between a phone call and the ad that drove it, or pushing conversation intelligence into the system a sales team actually works in. You'll lead the strategy for your domain and own that surface end to end, and partner with the other integrations PM on the shared patterns — data sync, authentication, webhooks, and third-party APIs — so the portfolio stays coherent. Your integrations are also the foundation other teams build on — including Voice Assist , where what our AI agents can do for a customer depends directly on what your integrations can read and write. We're looking for someone who is genuinely AI-fluent — both in how they work and in what they build. The integration landscape is changing fast: platforms are exposing agent-accessible interfaces, customers expect setup and mapping to be intelligent rather than manual, and the PMs who move fastest are the ones using AI as a daily tool rather than a talking point. You don't need to be an ML engineer. You do need to reach for AI first and have opinions about where it helps and where it doesn't. This role suits a self-motivated PM who thrives at both setting product direction and rolling up their sleeves to deliver results with engineering. What You'll Do Own your integration domain Define and own some of our largest core integrations, aligning them with business goals, customer needs, and strategic partnerships. Take the integrations customers already depend on past MVP — fill functional gaps, expand data coverage, and make them genuinely good rather than merely connected. Own how customers experience your domain: how they discover, connect, configure, and troubleshoot the integrations you're responsible for. Lead discovery with customers, partners, and internal teams to validate problems before scoping solutions. Lead the strategy Lead the product strategy for your integration domain — synthesizing input from Partnerships, business strategy, and customer signal into a clear point of view, and driving alignment on it across the org. Partner with the other integrations PM on the shared design patterns every integration inherits — data sync, authentication, webhooks, and third-party APIs — and make sure the next integration is cheaper to build than the last. Stay current with partner platform roadmaps and the shifting privacy and measurement landscape, and bring a point of view on what it means for our customers. Bring AI into the product Identify where AI meaningfully improves the integration experience — intelligent field mapping, automated setup and diagnostics, enriched data pushed into partner systems, self-healing syncs — and build the case for what's worth investing in. Shape how CallRail's integration data is consumed by AI agents and assistants, as customers increasingly expect their systems to be queryable and actionable by AI rather than only by humans. Know the difference between an AI feature that holds up in production and one that demos well, and be willing to say so. Prioritize and measure Monitor success metrics, product health, and user feedback, and use them to continuously refine your domain. Make the call on sequencing net-new work against fixes and migrations, and be able to explain that call to anyone who asks. Keep the unglamorous half of integration work — bugs, migrations, reliability — visible and scheduled rather than invisible and endless. Cross-functional Partner with other product teams whose features depend on your integrations — most often Voice Assist , where the quality of a CRM or scheduling integration directly determines what our AI agents can actually do for a customer. Treat your domain as a platform other teams build on, and sequence your roadmap accordingly. Work closely with Product Design on the integration experience — setup and authentication flows, field mapping, error and reconnection states — where most of the design difficulty is in making genuinely complex configuration feel simple. Write clear, actionable epics, user stories, and acceptance criteria with real technical context and edge cases identified up front. Partner with Marketing, Sales, and Customer Experience on launches, enablement, and adoption of new integrations. Close the loop with Support — turn ticket patterns into prioritized work, and give them answers and workarounds in the meantime. Represent the integrations domain in planning cycles, executive updates, and cross-functional initiatives. What You'll Need 5+ years of product management experience , with 2+ years focused on integrations, partner ecosystems, or platform-oriented work. Demonstrated AI fluency in your day-to-day practice. You use AI tools to accelerate research synthesis, competitive analysis, spec drafting, data exploration, and prototyping — and you can speak specifically about what you've changed in how you work, not just which tools you've tried. A track record of shipping B2B SaaS integrations end to end—CRMs, ad platforms, marketing automation, analytics, or communication tools. Martech experience is preferred. Strong technical fluency. You read API documentation comfortably, reason about data models and auth flows, and scope edge cases with engineers without needing a translator. Deep API design experience isn't required, but you need to know this territory well enough to make good calls about rate limits, sync behavior, and failure modes. Proven ability to manage complex product surfaces across partner APIs, webhooks, OAuth, and data syncing. Experience building product surfaces that other product teams depend on — negotiating roadmaps with peer PMs, making commitments you can keep, and saying no in a way that keeps the relationship intact. Ability to prioritize clearly across business goals, customer needs, and technical feasibility, and to explain your reasoning to both engineers and executives. Comfort working directly with Support, Sales, and Marketing — turning their signal into prioritized work and keeping them informed without being asked twice. Experience in Agile teams working closely with engineers and designers. We flex to optimize how the team works best together. Excellent written and verbal communication skills. Integration decisions live or die by how well they're documented. Familiarity with tools we use: Jira, Confluence, Miro, Looker, Fullstory, Figma. Nice to Have Hands-on experience with ad platform measurement — offline conversion imports, value-based bidding, consent and privacy changes, and how signal loss affects attribution. Hands-on experience with CRM data models and lifecycle — lead and contact objects, custom fields, activity logging, and the realities of syncing into a customer's existing workflow. Experience shipping an AI-powered feature to production and owning its quality, cost, and evaluation over time. Experience with MCP, agent frameworks, or designing APIs intended for AI consumption. Experience in marketing tech, communications tools, or call tracking ecosystems. Background working with public APIs and/or developer experience tools. Working With AI at CallRail AI is core to how our product team operates, and we expect it to be core to how you operate. We use Claude across discovery, spec writing, data analysis, prototyping, and internal tooling, and we're actively building AI capabilities into the product itself. In this role you will: Use AI daily as a working tool — clustering support tickets to find the real bug patterns, drafting and pressure-testing specs, exploring integration data, and building throwaway scripts and prototypes to answer questions faster than a meeting could. Build your own leverage rather than waiting for it — writing Claude skills, agents, and internal workflows that make you and your team faster. Think about CallRail's platform as something AI agents will consume, not just humans. MCP servers, agent-friendly API design, and tool-calling patterns are increasingly part of what a modern integrations platform is expected to offer, and you'll help shape our point of view there. Stay genuinely current. The tooling changes every few months, and we want someone curious enough to keep up and pragmatic enough to know when a new tool actually helps. We're looking for evidence that you've already changed how you work because of these tools — not just enthusiasm about them. 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: Hybrid Employment type: Fixed-term contract ABOUT OPENAI OpenAI is an AI research and deployment company committed to ensuring that artificial general intelligence (AGI) benefits all of humanity. We push the boundaries of AI capabilities while prioritising safety, responsible use, and human needs. Our mission requires a team that represents a diversity of perspectives, voices, and experiences. ABOUT THE TEAM Like every team at OpenAI, the Marketing team contributes directly to our mission of responsible and widespread AI adoption. The EMEA B2B Marketing team translates global priorities into regionally relevant programmes that drive awareness, consideration, pipeline, adoption, and long-term customer trust. We partner closely with Sales and GTM, Product Marketing, Developer Marketing and Relations, Field and Executive Marketing, Content, Customer Marketing, Partner Marketing, Comms, Creative, Media, Marketing Operations, and regional leadership. ABOUT THE ROLE We are hiring an FTC B2B Influencer Marketing Lead, EMEA to build and scale OpenAI’s influencer marketing capability across knowledge workers (KW), business decision-makers (BDMs), and developer audiences. You will own the strategy and hands-on delivery across multiple European markets (working closely with in-market comms & marketing team), with the UK, France, and Germany as the first priorities. You will develop local creator networks, translate regional and global priorities into market-relevant programmes, and build a portfolio that balances sustained creator relationships with high-impact moments around products, campaigns, and events. This is a zero-to-one builder role as much as an ecosystem and operating-model role. You will create the capability from the ground up: building on the early foundations we have in place, you will be responsible for defining the strategy, securing internal alignment, building the creator and agency network, establishing the operating model, and proving what works before scaling it. You will work with existing agencies, identify and onboard new specialist partners where we have capability or market gaps, partner with PHD to amplify the strongest influencer content, and create the goals, processes, reporting, and success measures needed to run the programme with speed, quality, and accountability. You will partner closely with the B2C influencer lead to define and evolve the measurement framework. IN THIS ROLE, YOU WILL - Own the EMEA B2B influencer marketing strategy across KW, BDM, and developer audiences, setting clear audience, market, channel, investment, and outcome priorities. - Build a credible bench of developer creators, technical educators, open-source voices, AI builders, and community leaders across Europe, and design programmes that genuinely help developers learn, evaluate, and build. - Develop differentiated creator plans for the UK, France, and Germany, balancing regional consistency with local language, culture, platform behaviour, regulation, and audience expectations. - Source, evaluate, and build durable relationships with creators who have genuine authority with our priority audiences. Own outreach, briefing, negotiation, contracting, content development, activation, and relationship management. - Design curated creator programmes and high-value experiences that deepen relationships over time—such as briefings, product access, learning sessions, roundtables, community moments, and co-created formats—turning the strongest creators into long-term strategic partners rather than one-off campaign participants. - Build an always-on creator portfolio alongside launch, event, and campaign activations, choosing the right mix of tutorials, product demonstrations, thought leadership, executive content, social posts, newsletters, podcasts, video, and community formats. - Work with existing influencer and marketing agencies to raise the quality and pace of delivery. Identify capability gaps and lead the selection, onboarding, and management of new specialist agencies, including developer-native and market-specific partners. - Partner closely with our media agency to build paid amplification strategies for high-performing creator content, including audience targeting, usage rights, creator whitelisting where appropriate, testing, optimisation, and clear organic-versus-paid performance readouts. - Partner with our Performance Marketing and Growth teams to develop bespoke influencer content that drives measurable performance and business growth. - Operationalise the end-to-end influencer process across intake, creator discovery, due diligence, brand-safety review, scopes of work, contracting, approvals, disclosure and compliance, content calendars, asset management, localisation, paid rights, and post-campaign learning. - Set programme and campaign goals upfront. Build a measurement framework that connects creator activity to meaningful audience and business outcomes rather than relying on vanity metrics. - Define and report a balanced scorecard by audience and objective, including qualified reach, audience relevance, engagement quality, content completion and saves, traffic, product education, developer activation, adoption signals, and pipeline influence where measurement is appropriate. - Establish regular reporting and performance reviews with clear recommendations on which creators, formats, platforms, markets, and investments to scale, improve, or stop. - Manage budgets, agency scopes, creator fees, usage rights, and production investment, making disciplined trade-offs and improving efficiency over time. - Partner with Product Marketing, Developer Marketing and Relations, Comms, Creative, Legal, Privacy, Brand, Media, regional marketers, and GTM teams to ensure content is technically accurate, locally relevant, compliant, and useful to the audience. - Bring creator and community insight back into OpenAI, helping teams understand emerging voices, platform shifts, audience questions, content opportunities, and risks across the European influencer ecosystem. WHAT SUCCESS LOOKS LIKE - OpenAI has a strong, trusted network of B2B and developer creators across Europe, with meaningful depth in the UK, France, and Germany. - Priority creators progress from individual activations into sustained, mutually valuable partnerships, supported by curated programmes and experiences that increase trust, product understanding, and advocacy over time. - Developer influencer marketing becomes a repeatable growth and education channel, supported by a healthy pipeline of credible creators and technically valuable content. - Teams and agencies use a clear, efficient operating model with defined ownership, faster approvals, strong compliance, reusable tools, and fewer one-off processes. - Organic creator programmes and PHD-led paid amplification work as one system, with transparent performance, learning, and investment decisions. - Leadership has a reliable view of goals, spend, creator health, market coverage, results, and the programme’s contribution to audience and business outcomes. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have 8+ years of experience in influencer marketing, creator partnerships, B2B content, developer marketing, or an adjacent discipline, including substantial ownership of influencer programmes. - Are deeply plugged into the European creator economy and bring an existing network of relevant creators, agents, managers, platforms, and specialist agencies—particularly in technology, AI, SaaS, developer tools, or adjacent categories. - Have a proven track record of building influencer programmes for developer or highly technical audiences. You understand the difference between broad technology reach and genuine developer credibility. - Have taken an influencer or creator programme from zero to one, moving from an ambiguous brief to a working strategy, partner ecosystem, operating model, measurement framework, and repeatable programme. - Have built curated creator programmes and experiences that develop long-term strategic partnerships, with evidence that sustained relationship-building improved content quality, creator loyalty, audience trust, or business impact. - Can also develop effective creator strategies for knowledge workers and business decision-makers, matching the creator, message, format, and platform to the audience and commercial objective. - Have operated across multiple European markets and understand how to adapt strategy and execution for the UK, France, and Germany. Fluent English is required; French and/or German is a strong advantage. - Have directly managed agencies and creator partners, including selection, onboarding, briefing, negotiation, contracting, production, usage rights, paid amplification, and performance management. - Understand the mechanics and economics of organic and paid creator distribution, and can partner effectively with a media agency to turn strong content into scaled, measurable campaigns. - Are analytically strong and comfortable setting goals, designing measurement approaches, reading performance data, and making clear recommendations when attribution is imperfect. - Combine strong editorial and technical judgement with operational rigour. You can protect creator authenticity while maintaining accuracy, brand safety, compliance, and message integrity. - Are both strategic and hands-on: comfortable setting the direction, building the system, finding the creator, improving the brief, resolving an approval issue, and getting the programme live. - Build trust quickly across creators, agencies, marketers, technical teams, and senior stakeholders, and communicate clearly when priorities, evidence, or trade-offs are contested. - Are energised by AI and motivated to help developers, businesses, and knowledge workers across Europe understand and adopt transformative technology responsibly. WORKPLACE & LOCATION This fixed-term role is based in London with three days per week in the office. Regular travel across Europe, particularly to France and Germany, will be required.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Staff Electrical Engineer to play a critical technical leadership role in the development of our next-generation wearable platform. As part of the Hardware Engineering team, you will develop a deep understanding of electrical system behavior through rigorous test, characterization, analysis, and hands-on debugging, then translate those insights into architecture, schematic, and design improvements. You will work across Electrical, Mechanical, Firmware, Systems, Manufacturing, and Software teams to identify performance limitations, resolve complex system-level issues, and accelerate the path toward robust, production-ready hardware. This is a hands-on player-coach role for an engineer who combines deep electrical expertise with exceptional systems thinking and technical judgment. You will manage and develop a small team of electrical engineers while remaining deeply engaged at the bench—defining the highest-value technical questions, designing experiments to answer them, interpreting complex data, and driving the resulting design decisions. RESPONSIBILITIES: - Lead electrical system characterization and technical investigations, developing a deep understanding of system behavior across power, mixed-signal circuitry, digital interfaces, sensing, noise, timing, and other critical performance areas - Define and execute experiments that efficiently answer complex engineering questions, isolate variables, identify root causes, and expose interactions across electrical subsystems and the broader product - Translate characterization results and system insights into actionable architecture, schematic, component, layout, firmware, and system-level design improvements - Drive resolution of complex electrical and cross-functional technical issues, using first-principles analysis, bench measurements, device telemetry, and structured experimentation to move from symptoms to root cause - Build scalable characterization and analysis methods using Python, MATLAB, or equivalent tools to improve test coverage, automate analysis, identify trends, and accelerate engineering learning cycles - Partner closely with Electrical, Firmware, Mechanical, Systems, Software, and Manufacturing teams to define requirements, evaluate tradeoffs, and improve end-to-end system performance, reliability, and manufacturability - Manage and develop a small team of electrical engineers, setting technical priorities, creating clear ownership, providing mentorship and design review, and helping engineers grow while maintaining a high bar for technical execution - Remain hands-on with schematic and circuit design, prototype bring-up, debugging, and design iteration, directly contributing to critical design changes where needed - Establish rigorous validation approaches and success criteria that build confidence in electrical system performance across operating conditions, unit-to-unit variation, and product use cases - Travel up to 15% domestically and internationally to collaborate with partners, suppliers, and contract manufacturers QUALIFICATIONS: - Bachelor's degree or higher in Electrical Engineering or a related technical field, or equivalent practical experience - 8+ years of relevant electrical engineering experience, with demonstrated technical leadership and ownership of complex electrical or embedded systems - Deep electrical engineering fundamentals across mixed-signal circuit design, power management, digital interfaces, signal integrity, and debugging of highly integrated systems - Exceptional hands-on test, characterization, and debugging skills, with the ability to use experimentation and data to understand complex system behavior and drive meaningful design changes - Strong experience with schematic capture and PCB design/review using ECAD tools such as Altium or equivalent - Demonstrated ability to lead ambiguous, cross-functional technical investigations, mentor other engineers, and drive complex engineering decisions to closure - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $175,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Sales Enablement Trainer, Claude Products, you'll teach Anthropic's global sales team how to use our products, both to do their own work better and to position Claude credibly with customers. Anthropic ships quickly, and the surface area of what we build is growing faster than any individual seller can track. The job has two components. The first is enabling our own people to be power users of Claude so the field is the most sophisticated user of the product we sell. The second is enabling them to position it: to run a credible technical conversation with a customer, anticipate the hard questions, and hold their own with a technical buyer. In this role, you’ll help define what an AI-native sales team looks like. The best person in this role already uses Claude to help them excel in a sales or sales enablement role. You'll be embedded enough with Product and Applied AI to see around the corner and be opinionated enough to say which surfaces to invest enablement resources behind. You'll need enough technical credibility to earn the respect of engineers and enough commercial fluency to earn the respect of sellers. Key responsibilities Own product enablement for the global field organization, spanning new launches, existing capabilities, and the product roadmap ahead Build the programs that make Anthropic sellers genuinely expert users of Claude in their own daily work Create enablement that equips the field to position our products with technical and business buyers, including demo readiness, objection handling, and competitive framing Partner closely with Product, Product Marketing, and Applied AI to get early visibility into what is shipping and to shape how it reaches the field Anticipate which new product surfaces will require enablement investment, and make the case for that investment before launch Build and maintain the product certification path that credentials sellers on our core products Create high-quality enablement content including demo scripts, technical talk tracks, solution guides, and competitive positioning material Establish feedback loops that carry field and customer signal about product gaps back to Product and Product Marketing Minimum qualifications Experience in a sales or sales enablement role Experience building AI automations into sales workflows and tooling Hands-on, regular use of AI assistants and agentic tools (e.g., Claude, Claude Code) in your own real-world workflows Working technical knowledge of how LLM products work (e.g., prompting, context, tool use, APIs), enough to demo them live and field technical questions from engineering buyers Experience writing and presenting technical material for audiences with very different levels of technical depth Preferred qualifications Experience bridging sales and technical audiences in a role such as solutions engineering, sales engineering, technical enablement, product marketing, or technical account management Hands-on experience building with LLM APIs, agentic frameworks, or developer tooling Experience turning complex, fast-moving technical products into enablement content such as demo scripts, technical talk tracks, solution guides, or training curricula Experience owning launch readiness for a technical product across a global field organization Experience partnering with Product or Product Marketing to prepare a field team ahead of launch, not after it Experience building programs from 0 to 1 in fast-paced, ambiguous environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 — $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Workplace: Remote WHO WE ARE Help Scout started in 2011 with a simple premise: support software should treat customers like people, not tickets. 3+ billion conversations later, more than 10,000 companies use Help Scout to grow relationships with customers of all types, from clients to patients and beyond. Now we’re in a new chapter: not only building AI that gives teams more space to focus on the customer experience, but also reimagining how we operate in an AI-native world. That means shipping and learning faster, without compromising on craft. Great work here carries a strong opinion and sweats the details, regardless of the tools we use to drive it. We’ve been a fully remote team https://articles.helpscout.com/blog/remote-culture/ since day one, with 120+ teammates now all over the world. It’s a culture where you’ll be trusted to take ownership, stay curious, and raise the quality of work around you. It comes with clear expectations and a team that will push you to do some of the best work of your career. If that kind of challenge gives you energy, we’d love to meet you. YOUR IMPACT Help Scout has earned something most software companies never get: genuine trust. More than 10,000 businesses use us, and a remarkable share of them arrived because someone they respect recommended us. That trust is also why customers stay and grow with us once they're in the door. Growth is how more of the people who show up turn into teams who can't imagine working without Help Scout — and how customers who already love one part of the product find their way into what's next. As Head of Product, Growth & Monetization, you'll be directly accountable for both sides of that story: the core funnel that turns a signup into a paying customer, and the in-app motion that turns a paying customer into an expanding one. ABOUT THE ROLE - Own the growth roadmap. You'll partner with Design and Engineering, but you’ll own the vision, roadmap, and execution for the Growth team. That starts with sharpening the core funnel: signup, onboarding, trial-to-paid conversion, and the activation moments that turn a trial into a team that can't imagine working without Help Scout. - Run growth experimentation across the org. Build and run an experimentation practice spanning two swim lanes: new business (signup through trial-to-paid) and expansion (getting existing customers to experience and purchase Agent, Copilot, and Signal products). The expansion lane means designing and running experiments inside product lines you don't own, in partnership with the other product leaders who do. - Evolve Help Scout's monetization strategy. Own the overarching pricing and packaging framework across the portfolio. Each Head of Product still owns pricing and packaging execution for their own line — your job is the cross-product throughline and the judgment to know when to weigh in. - Build growth infrastructure other teams can use. Create the growth model, experiment standards, and playbooks that let teams across the company ship growth work with confidence, without routing every decision through you. - Lead as a player/coach. Do the strategic work yourself today, and hire and manage a team of PMs as the group grows. You're accountable for the group's revenue results, not just its roadmap execution. - Partner across the customer lifecycle. Work with go-to-market so the growth motion is coherent from first touch through expansion, and spend real time with customers and in the data to keep that motion grounded in what's actually true. ABOUT YOU - You've spent 5+ years leading growth in B2B SaaS with a free-trial or freemium motion, and you have a concrete story of moving a product line's revenue or adoption. - You're hands-on with experimentation. You define your own metrics, design your own tests, and you're honest about when a result is signal versus noise. - You think in outcomes, not features, and you build systems and playbooks that make everyone around you faster, not just wins that end with you. - You can design an outcome-based pricing framework and explain its tradeoffs, and you understand the difference between owning strategy and owning someone else's execution. - You're technically fluent enough to hold an architecture conversation and push back credibly on an engineering estimate, and you understand how AI and agentic product features actually fail, not just how they work when they work. - You lead through influence as much as authority. Your impact here comes from getting peer product teams to want to run your experiments with you. - You've directly managed people before. You'll hire and coach a team of PMs as this group grows. - You're an excellent writer who makes your thinking visible in one-pagers and briefs that move decisions forward, and you're genuinely fluent with AI tools for research synthesis, strategy testing, and rapid prototyping. WHO YOU'LL WORK WITH - Chief Product Officer. You report to the CPO and partner closely with them on strategy and monetization. - Head of Product, Conversations. You partner on expansion experiments and the monetization framework for Inbox and Copilot. - Head of Product, Intelligence. You partner on expansion experiments and the monetization framework for Agent and Signal. - Marketing leadership. You align the growth motion with campaigns, messaging, and pricing/packaging changes. - Sales & Customer Success leadership. You keep the growth motion coherent across the full customer lifecycle, from trial through expansion and renewal. - Growth PMs. As the group grows, a small team of PMs may report to you. Note: This role is open to US-based applicants only. COMPANY VALUES HAPPY TO HELP Help is in our first name! We show up for each other — not out of obligation, but because we’re invested in the team’s collective success. We share knowledge freely, lead with generosity, and practice empathy with our teammates, customers, and community. CRAFT OVER CONVENTION Our success relies on the quality and craft https://paulstamatiou.com/craft of the work we put into the world. The status quo simply won’t work. So we insist on narrow focus, sweating every detail, and relentless pursuit of customer delight. PROGRESS NOT PERFECTION Achieving our true potential — collectively and individually — requires constant progress and forward momentum. By creating a culture of curiosity and openness, we aim to create a safe space for mistakes, the ability to identify them quickly, and use them to get better. OWN THE OUTCOME Own the outcome means taking full responsibility for the results of your work, decisions, and contributions. It reflects a mindset of accountability, proactiveness, and follow-through. If you “own the outcome,” you don’t just complete tasks, you ensure your work leads to meaningful results, and take initiative to solve problems rather than passing them along. Read more about how we define, share, and live these values here https://articles.helpscout.com/blog/aligning-culture-with-values/. BENEFITS AND PERKS - Competitive salary and an internal, transparent salary formula based on market data - Flexible time off – you choose the holidays and vacations that make sense for you - 12 weeks of fully paid parental leave for all new parents, including adoption and foster care - A home office stipend to help you get set up and productive - A co-working stipend up to $300 a month if you choose to work out of your house - A yearly professional development stipend of $1,800 to help you grow in your craft - If you’re in the U.S. or Canada, we offer top tier health insurance for you and your dependents. HIRING GUIDELINES: All roles at Help Scout are fully remote. Some positions have specific location requirements. For roles outside the U.S. and Canada, we work with teammates as independent contractors under country-specific agreements. We do not sponsor visas. Teammates must already be authorized to work from their home country. We are an equal opportunity employer and are committed to building a company that embraces and celebrates diversity and inclusion https://www.helpscout.com/dei/. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. We have read the studies and understand that diverse teams build better products, bring more perspective to the table, contribute to a company’s financial success, and help foster a more inclusive environment for all employees, but the bottom line is that it's the right thing to do. To provide you with the best experience, we can support you with accommodations or adjustments at any stage of the recruitment process. Simply inform our recruitment team during your conversation with them. A NOTE ON THE USE OF AI IN OUR INTERVIEW PROCESS While we understand that AI is an important tool in a modern skillset, we ask that you do not utilize AI assistants live on our interviews. Of course, use any tools you need to prepare! But we'd like for you to have a real human-to-human conversation with our team. On our end, we utilize a platform called Brighthire as a notetaker and review tool to ensure a fair and transparent hiring process. Beware of scammers! All legitimate communication from Help Scout regarding your application will come directly from an @helpscout.com http://helpscout.com email address and through our applicant tracking system, Ashby. We will never ask for personal financial information or conduct interviews outside of these official channels.

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role One of the fundamental problems facing the physical AI community is the sim-to-real gap in visual-spatial understanding. We're working to close it. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. This role connects product, engineering, research, and GTM, turning technical capabilities and market insight into the positioning and assets that drive understanding, adoption, and growth. The ideal candidate combines deep technical curiosity with strategic marketing judgment. You'll be embedded in the robotics and physical AI ecosystem, tracking the conferences, companies, developers, researchers, and platform shifts shaping the market. You'll use that proximity to test our hypotheses, sharpen our positioning, and turn market signals into messaging and proof points that resonate with real buyers. Just as importantly, you'll feed validated demand back into product direction, helping us build toward the strongest opportunities. This is not a traditional product marketing role, nor is it pure demand generation. It's an opportunity for someone technical enough to understand the real-to-sim stack, strategic enough to synthesize product, market, and customer inputs into sharp messaging aligned with where we can win, and hands-on enough to create the stories, assets, and proof points that establish Niantic Spatial as a leader in physical AI. What You'll Do - Define the Market Narrative - Co-develop and continuously sharpen Niantic Spatial's category, positioning, and messaging for embodied AI. Carry this narrative across our website, campaigns, sales materials, and partner communications. - Build Credible Messaging - Build credible messaging around our embodied AI stack: real-world capture to simulation-ready digital twins, policy training in deployment environments, and the path toward visual-spatial intelligence. - Turn Capability Into Proof - Partner with Product, Engineering, Research, and Business Development to turn technical capabilities into credible, customer-facing proof that shows how the product works, performs, and fits into real-world workflows. - Keep the Story Defensible - Ensure every message clearly distinguishes what ships today, what is being validated, and what is on the roadmap, so our story remains accurate and defensible. - Build the Target-Account List - Build and maintain the target-account list for robotics and physical AI in collaboration with Go-to-Market, using market signals and customer insight to prioritize who we pursue, why, and when. - Run Competitive Intelligence - Run competitive intelligence and turn it into positioning, enablement, and clear guidance on where Niantic Spatial can win. - Shape Pricing and Packaging - Shape pricing, packaging, and initial product-led growth motions, turning technical capabilities into clear offerings and activation paths. - Develop and Execute Campaigns - Develop and execute campaigns that build awareness, generate qualified interest, and establish Niantic Spatial's presence in the market. - Build Co-Marketing Partnerships - Build co-marketing and case-study partnerships with robotics OEMs, simulation ecosystems, and strategic customers, turning them into customer stories, POVs, talks, and partner content. What You'll Bring - You've spent meaningful time in the physical AI space as an engineer-turned-marketer, marketing lead at a robotics or physical AI company, or a deep practitioner in the ecosystem. - You are comfortable operating in a category that is still taking shape. You can take fragmented market signals, technical nuance, and roadmap reality and turn it into a point of view the market can understand. - 5+ years of experience in product marketing, integrated marketing, technical sales, or category creation across robotics, autonomous systems, simulation, or physical AI. - A track record of defining emerging categories and translating complex technology into a clear narrative: what it is, why it matters, and why the company is positioned to lead. - The ability to build credibility with both technical buyers and executive stakeholders, turning market insight and product truth into positioning, proof points, and adoption-driving assets. - Strong judgment and a builder's mindset: willing to challenge assumptions, improve existing embodied AI messaging, and sharpen the company's go-to-market strategy without overclaiming. - A bachelor's degree in a relevant field, or equivalent experience. Nice to Have - Experience creating POVs, conference talks, partner content, customer stories, and practical buyer frameworks that shape perception and support real sales conversations. - Hands-on familiarity with NVIDIA Isaac Sim, with the ability to turn technical workflows into useful, compelling content. Compensation & Benefits Base salary range of $171,000 to $222,000. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.