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Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render’s mission is simple: eliminate the tedious work of building software by providing a cloud platform that just works. We’re evolving from the go-to platform for solo developers into the backbone for fast-scaling teams. This role sits at the heart of that shift: how a developer discovers Render, achieves their first success, and becomes a paying customer whose bill makes sense to them. That journey spans onboarding and activation, billing, payments, and pricing — the moments where trust is won or lost and where good design directly moves the business. Because the journey crosses the whole product, you won’t be siloed on a single team; you’ll work across the groups that own these surfaces — product, billing, and more — following the work wherever it leads. This is a craft-focused IC role built for speed, scale, and variety. You won’t polish one screen for a month; you’ll ship a lot, learn fast, and raise the bar across a wide surface. The craft bar is high — this is still Render, where details matter — but here it’s expressed through velocity: designs that ship, get measured, and compound. You’ll move between a pricing page, an upgrade flow, an onboarding step, and a billing surface in the same week, and hold all of them to the same standard. What makes this work hard and interesting: these surfaces are deceptively high-stakes. A confusing bill erodes trust as fast as a failed deploy. A pricing page that misleads costs real money and goodwill. Payments and billing are where correctness, clarity, and edge-case rigor matter as much as polish — and where “the unglamorous flow” is the product. You’ll join a design team that takes its craft seriously, with weekly critiques and deep cross-functional collaboration. You’ll thrive here if you love fast, measurable work, hold a high bar under velocity, and want your design decisions grounded in what real users do — not just what looks good in Figma or an AI prototype. YOU WILL: Design the journey from first touch to paying customer as one connected system. Onboarding, activation, upgrade, and billing aren’t separate surfaces; they’re one path a developer walks. You’ll design them to feel coherent, so the moment someone decides to pay is the natural next step, not a cliff. Own billing, payments, and pricing as craft surfaces. Plans, usage, invoices, upgrade and downgrade flows, payment methods, dunning, and the pricing page itself. This is where clarity and correctness are the whole game — a developer should always understand what they’re paying for and why, and never be surprised. You’ll bring real rigor to the edge cases (failed charges, proration, usage spikes) that make or break trust. Design a first-run and activation experience worth recommending. The path from signup to first successful deploy — and from first deploy to habit — is where growth starts. You’ll design it so that a developer’s first ten minutes make them want to tell someone, and so the steps that drive activation are clear, fast, and friendly. Run on validation and experimentation together. You’ll put work in front of real users — testing, interviews, quick validation — and ship experiments to learn what actually moves activation, conversion, and retention. You’re fluent in both: you know when a question needs a user session and when it needs an A/B test, and you treat shipped data as how design decisions get earned, not decoration. Move fast across a wide surface. This role trades depth-on-one-thing for range: you’ll prioritize ruthlessly, ship in small confident increments, and know which details matter now and which can wait. Speed is a feature here. Partner across the company. Growth design lives at the intersection of product, engineering, data, marketing, and finance. You’ll communicate clearly and often, align fast-moving stakeholders, and make the case for the user inside business conversations about pricing and revenue. Contribute to where Growth goes next. Alongside the shipping work, you’ll bring a point of view and concept explorations to the team’s design-led discovery track, through our weekly critique cadence. WE’RE LOOKING FOR: 5+ years of relevant experience, including real work designing for developers or technical users. You’ve designed products for software engineers, not just adjacent to them — in developer tools, cloud infrastructure, APIs, or another technical product — ideally paired with growth, billing, or payments depth. We care more about your impact than your title, but designing for a technical audience isn’t optional here. Exceptional taste and craft at speed. You have an eye for detail that borders on obsessive, and you can bring it to work that ships fast. You know how to hold a high bar without over-polishing, and you’ve shipped work that other practitioners admire. Fluency in both validation and experimentation. You’re comfortable running user testing and interviews and designing and reading experiments. You know which question each one answers, and you let real user behavior — not just instinct — shape your work. Rigor with complex, high-stakes flows. Billing, payments, and pricing reward people who sweat the edge cases. You design for the failed charge, the plan change mid-cycle, the confusing invoice — not just the happy path. You believe a clear bill is as much a design artifact as a beautiful dashboard. Strong information architecture. You can take a tangle of plans, usage, and states and make it feel like one obvious thing. You design the whole journey, not a screen at a time. Your portfolio shows a user journey that’s coherent from first touch through activation to paying — not a set of polished screens that don’t add up. Fluent in how developers think and get billed. You design for a technical user’s real mental model — services, deploys, and how developers actually work. Bonus if you understand usage-based, resource-metered billing for developer tools: compute plans, CPU/memory instance types (e.g., 1c-2g), usage metering, and how pricing maps to the underlying infrastructure. You don’t need to have built a cloud platform, but you’re curious enough to get into the weeds. Strong product judgment under fast launch velocity. You frame problems well, prioritize ruthlessly, and know which details matter and which can wait. Clear, direct communication and a genuinely collaborative way of working with product, engineering, data, and finance partners — including sharing a problem space with another designer without needing hard fences between you. NICE-TO-HAVES: - Experience designing billing, payments, subscriptions, checkout, or pricing surfaces where correctness and clarity are high-stakes. - A track record of growth wins you can point to: activation, conversion, or retention you measurably moved. - Comfort with experimentation, tooling, and reading data yourself, rather than waiting on a handoff. - Design-engineering literacy: comfort near code, motion, or prototyping, and curiosity about AI-assisted design. - Writing, talks, or side projects that demonstrate your craft and point of view. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Staff Product Manager, Test & Code Coverage, you'll build product capabilities from initial discovery through launch and adoption. You'll help engineering teams understand why pipelines fail, improve test automation, and use code coverage to make better decisions about software quality and risk. You'll turn a technically complex problem space into a focused strategy, roadmap, and developer experience. Working closely with Engineering and Design, you'll explore how agents can diagnose failures, recommend next steps, and help teams recover safely. The goal isn't to add artificial intelligence (AI) for its own sake. It's to reduce manual work and help developers get back to a safe, shippable state without losing trust or control. At GitLab, our mission is simple: to enable everyone to contribute to and co-create the software that powers our world. You'll contribute to that mission by making testing and coverage insights more useful across the software development lifecycle. What you'll do Define and communicate the Test & Code Coverage product vision, strategy, and outcome-focused roadmap, from discovery through a minimum viable product, beta, launch, and continued iteration. Identify customer problems across pipeline failure diagnosis, test automation, test optimization, code coverage, and recovery. Build the case for investment, prioritize foundational and customer-facing work, and reshape or stop initiatives that aren't creating value. Work with Engineering to understand pipeline failures caused by flaky tests, testing gaps, environment issues, configuration problems, and coverage blind spots. Connect code changes, tests, pipeline behavior, historical patterns, and risk to help developers find a diagnosis and an actionable next step. Work directly with customers to understand how they author, maintain, select, prioritize, and debug tests. Connect test selection, test impact analysis, code coverage, and pipeline intelligence to reduce flaky tests, shorten feedback loops, and focus testing effort where it lowers the most risk. Partner with Engineering and Design to prototype agent-driven workflows for failure diagnosis, test authoring and repair, optimization, coverage analysis, and recovery. Make actions reviewable through evidence, confidence, human approval, and safe paths to propose code changes and merge requests. Use AI tools in your own product work to investigate problems, explore code and data, prototype concepts, and accelerate learning. Define and measure outcomes such as time to diagnose, time to recover, failure recurrence, test signal quality, and developer confidence. Validate problems and solutions with customers and learn from production usage. Partner across Product, Engineering, Design, Quality, Developer Experience, Customer Success, Support, and Product Marketing to connect testing insights with code review, pipelines, and release decisions. Turn customer evidence into clear narratives that support adoption and future investment. Lead through clear written communication, prioritization, and product judgment. Influence senior stakeholders, establish repeatable discovery and measurement practices, and mentor other product managers. What you'll bring Experience owning complex technical products, platforms, or developer workflows at Staff, Senior Staff, Principal, or equivalent scope, including building a new product or capability from initial validation through launch and adoption. Strong product fundamentals in customer discovery, problem framing, prioritization, roadmap development, outcome measurement, and iterative delivery. Technical fluency in one or more relevant areas, such as software testing, test automation, code coverage, continuous integration and continuous delivery (CI/CD), developer tools, DevOps, developer experience, quality engineering, or software delivery. An understanding of how engineering teams build, test, review, and ship software, and the ability to work with engineers on test architecture, pipeline behavior, code changes, data, integrations, reliability, and scale. Experience diagnosing technical problems and turning complex, noisy signals into clear user experiences and actionable workflows. Experience exploring AI or agent-driven solutions for developer workflows, with the judgment to distinguish useful automation from unsafe or low-confidence actions. Experience using customer conversations to understand problems and inform product decisions, communicating clearly in writing and conversation, and influencing across functions with shared ownership. You can work directly with developers, quality engineers, platform teams, engineering leaders, and executives, and move between strategy and implementation detail. About the team Our work brings together Product, Engineering, and Design, with input from Quality, Developer Experience, Customer Success, Support, and Product Marketing. We work directly with developers, quality engineers, and engineering leaders to understand their testing practices, validate ideas, and learn from how they use the product. We give Engineering and Design clear customer context and room to shape solutions. Our decisions draw on customer evidence and measurable outcomes, and we revisit approaches that aren't creating value. You'll contribute to how we discover problems, prioritize work, and measure progress, as well as sharing product management practices with other product managers. As part of GitLab's all-remote organization, we collaborate asynchronously across regions. Our work emphasizes transparency, written communication, and clear decision-making. 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 $168,000 — $285,600 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: Europe; United States Workplace: Remote ABOUT CANTINA Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! ABOUT THE ROLE We’re working on real-time video generation for interactive characters, spanning realistic humans, stylized characters, and non-human identities. We want these characters to feel present: to speak, react, and express themselves through their face, gestures, and body language. This brings together a set of closely connected research problems. A character needs a consistent appearance, expressive and coherent motion, and a natural relationship between speech and movement. The model also needs to respond quickly and keep generating reliably as an interaction unfolds. Quality, controllability, and efficiency all matter. You’ll work across streaming generation, fine-tuning, distillation, inference optimization, and data. Some problems will call for a new training approach; others will come down to better examples, a more useful evaluation, or understanding a bottleneck in the implementation. Part of the job is figuring out which intervention is worth making. You’ll have substantial freedom to propose directions, investigate unfamiliar ideas, and shape what we work on next. We’re looking for someone who enjoys that freedom and can turn it into a steady sequence of useful experiments. WHAT YOU’LL WORK ON - Real-time and streaming generation. Develop models that support responsive interaction while maintaining visual quality and consistency over time. Investigate latency, continuity, and how model behavior changes during longer generation. - Character expression and motion. Explore how appearance, facial expression, gesture, and body movement come together into a coherent character. Improve the relationship between speech and motion across different identities and visual styles. - Fine-tuning and post-training. Adapt video models to new data, behaviors, and capabilities. Investigate training objectives and conditioning methods, and follow promising ideas through implementation and evaluation. - Distillation and inference optimization. Make generation faster and more efficient. Work across model-level approaches and runtime improvements, measuring their effects on quality, latency, and memory. - Data development. Spend meaningful time with the actual training examples. Identify missing coverage and recurring failure modes, improve curation and sampling, and develop data that helps models learn the behavior we want. - Evaluation. Build comparisons that make progress visible and failures understandable. Combine quantitative measurements with careful inspection of generated video and the experience of interacting with the model. - Research and collaboration. Read relevant work, reproduce and adapt useful ideas, and share early experiments, demos, and findings. Help the team decide what deserves more time and compute. WHAT YOU’LL BRING - Experience training or fine-tuning video or related generative models. - Ability to learn unfamiliar methods quickly and turn ideas into useful experiments. - Good experimental judgment, ownership, and clear communication. You’ll have freedom to explore new approaches. We expect fast iteration and early sharing of results. COMPENSATION When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   Benefits for U.S.-based roles: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Marketing Technologies Director The Marketing Technologies Director, leads PlayStation's global marketing technology organization across engineering, product management, UX, measurement and experimentation, audience activation, and marketing data. This leader owns the technology vision, architecture, product strategy, and roadmap for platforms used by marketers worldwide to reach hundreds of millions of players. The role is accountable for building secure, scalable, AI-enabled capabilities that improve marketing effectiveness, speed, and customer experience. We are seeking a technology leader with direct software or data engineering experience building marketing technology products and platforms. The successful candidate can lead engineers and technical product teams, make architecture and build-versus-buy decisions, and translate marketing needs into durable systems. Experience limited to administering vendors or managing a marketing technology stack without direct engineering experience does not meet the requirements of this role. Key Responsibilities Technology Engineering and Product Leadership Lead multidisciplinary teams responsible for marketing technology engineering, product management, and UX, with clear goals, operating rhythms, and accountability for delivery. Own end-to-end delivery and operation of global marketing platforms, from discovery and architecture through launch, adoption, reliability, and continuous improvement. Set the architecture for marketing platforms, APIs, data pipelines, audience services, orchestration, and activation integrations. Define the marketing technology product vision and prioritize a multi-year roadmap based on customer value, technical feasibility, business impact, risk, and platform health. Establish engineering standards for security, privacy, reliability, observability, scalability, and the management of technical debt. Lead product discovery and UX research with marketing teams globally, converting user needs into intuitive workflows and measurable product outcomes. Evaluate build, buy, and partner options with technical rigor, and ensure third-party platforms integrate into a coherent, maintainable architecture. Measurement Experimentation and Audience Activation Lead the measurement and experimentation function, including test design, measurement frameworks, platform capabilities, and the use of results in marketing decisions. Lead audience activation and marketing data teams responsible for identity, segmentation, consent-aware audience management, data quality, governance, and activation readiness. Connect audience, measurement, and activation capabilities across marketing channels so teams can plan, execute, learn, and optimize through shared data and platforms. Partner with Data Science and Analytics leaders to embed experimentation, causal measurement, predictive models, and decision support into marketing workflows. Assess and scale AI and automation use cases that improve marketer productivity, decision quality, and customer relevance. Strategy and Transformation Serve as the technical and strategic partner to Media, Creative, Brand Marketing, Product Marketing, Marketing Operations, Data Science, and Business Analytics leaders. Align SIE teams that own or influence the marketing technology stack around a single architecture, product vision, roadmap, and set of investment priorities. Lead high-priority transformation initiatives, managing execution, organizational dependencies, adoption, and measurable business outcomes. Partner with marketing leaders to redesign workflows, processes, decision rights, and operating models around new platform capabilities. Balance global platform standards with appropriate local and product-level flexibility while maintaining security, privacy, and architectural integrity. Define success measures and post-launch KPI tracking for platform performance, adoption, marketing effectiveness, and business impact. Skills and Qualifications Bachelor's degree in software engineering, computer science, data engineering, or a related technical field; equivalent practical experience is acceptable. An advanced degree is preferred. 12+ years of experience across software or data engineering, technical product management, and marketing technology, including leadership of global teams. Direct software or data engineering experience and a record of leading engineering teams that built and operated production marketing technology systems. Demonstrated success building, launching, and operating enterprise SaaS products or internal platforms, beyond implementing or administering third-party tools. Technical depth in cloud architecture, APIs, systems integration, data pipelines, identity and audience systems, security, privacy, reliability, and scalability. Experience leading multidisciplinary organizations spanning engineering, product management, UX, measurement and experimentation, analytics or data science, and audience activation. Strong command of experimentation methods, marketing measurement, analytics, and the use of data to improve product and marketing decisions. Experience with AI-powered products, machine learning platforms, or automation in production environments. Experience owning multi-year technology and product roadmaps and making investment, architecture, and build-versus-buy decisions. Ability to influence senior leaders, communicate technical tradeoffs clearly, and lead transformation across teams and regions. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $207,400 — $311,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Marketing Technologies Director The Marketing Technologies Director, leads PlayStation's global marketing technology organization across engineering, product management, UX, measurement and experimentation, audience activation, and marketing data. This leader owns the technology vision, architecture, product strategy, and roadmap for platforms used by marketers worldwide to reach hundreds of millions of players. The role is accountable for building secure, scalable, AI-enabled capabilities that improve marketing effectiveness, speed, and customer experience. We are seeking a technology leader with direct software or data engineering experience building marketing technology products and platforms. The successful candidate can lead engineers and technical product teams, make architecture and build-versus-buy decisions, and translate marketing needs into durable systems. Experience limited to administering vendors or managing a marketing technology stack without direct engineering experience does not meet the requirements of this role. Key Responsibilities Technology Engineering and Product Leadership Lead multidisciplinary teams responsible for marketing technology engineering, product management, and UX, with clear goals, operating rhythms, and accountability for delivery. Own end-to-end delivery and operation of global marketing platforms, from discovery and architecture through launch, adoption, reliability, and continuous improvement. Set the architecture for marketing platforms, APIs, data pipelines, audience services, orchestration, and activation integrations. Define the marketing technology product vision and prioritize a multi-year roadmap based on customer value, technical feasibility, business impact, risk, and platform health. Establish engineering standards for security, privacy, reliability, observability, scalability, and the management of technical debt. Lead product discovery and UX research with marketing teams globally, converting user needs into intuitive workflows and measurable product outcomes. Evaluate build, buy, and partner options with technical rigor, and ensure third-party platforms integrate into a coherent, maintainable architecture. Measurement Experimentation and Audience Activation Lead the measurement and experimentation function, including test design, measurement frameworks, platform capabilities, and the use of results in marketing decisions. Lead audience activation and marketing data teams responsible for identity, segmentation, consent-aware audience management, data quality, governance, and activation readiness. Connect audience, measurement, and activation capabilities across marketing channels so teams can plan, execute, learn, and optimize through shared data and platforms. Partner with Data Science and Analytics leaders to embed experimentation, causal measurement, predictive models, and decision support into marketing workflows. Assess and scale AI and automation use cases that improve marketer productivity, decision quality, and customer relevance. Strategy and Transformation Serve as the technical and strategic partner to Media, Creative, Brand Marketing, Product Marketing, Marketing Operations, Data Science, and Business Analytics leaders. Align SIE teams that own or influence the marketing technology stack around a single architecture, product vision, roadmap, and set of investment priorities. Lead high-priority transformation initiatives, managing execution, organizational dependencies, adoption, and measurable business outcomes. Partner with marketing leaders to redesign workflows, processes, decision rights, and operating models around new platform capabilities. Balance global platform standards with appropriate local and product-level flexibility while maintaining security, privacy, and architectural integrity. Define success measures and post-launch KPI tracking for platform performance, adoption, marketing effectiveness, and business impact. Skills and Qualifications Bachelor's degree in software engineering, computer science, data engineering, or a related technical field; equivalent practical experience is acceptable. An advanced degree is preferred. 12+ years of experience across software or data engineering, technical product management, and marketing technology, including leadership of global teams. Direct software or data engineering experience and a record of leading engineering teams that built and operated production marketing technology systems. Demonstrated success building, launching, and operating enterprise SaaS products or internal platforms, beyond implementing or administering third-party tools. Technical depth in cloud architecture, APIs, systems integration, data pipelines, identity and audience systems, security, privacy, reliability, and scalability. Experience leading multidisciplinary organizations spanning engineering, product management, UX, measurement and experimentation, analytics or data science, and audience activation. Strong command of experimentation methods, marketing measurement, analytics, and the use of data to improve product and marketing decisions. Experience with AI-powered products, machine learning platforms, or automation in production environments. Experience owning multi-year technology and product roadmaps and making investment, architecture, and build-versus-buy decisions. Ability to influence senior leaders, communicate technical tradeoffs clearly, and lead transformation across teams and regions. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $226,200 — $339,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid 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: 80,000+ finance teams who adopted us for one thing and haven't yet seen what the rest of the platform can do for them. Account Management owns that opportunity - and this role owns the team building the motion to capture it. You'll lead a group of 5-8 Account Managers, each carrying a book of ~3,000 emerging and SMB customers with real latitude over how they grow it. This is a build role, not a maintain role: the playbooks, coaching systems, and performance bar you set are the ones this team runs on next year. Your ceiling is set by how well you turn individual AM judgment into a repeatable, scalable motion that grows the segment. What You’ll Do - Build and run a high-performing team of 5-8 Account Managers - setting the bar for culture, morale, and daily execution. - Understand where to prioritize your teams time. Engage directly with AMs to identify and break into top accounts, especially where trust is being built or repaired. - Own the number. Manage quota performance and pipeline generation across your team to hit spend activation, product activation, retention, and expansion goals. Forecast your business to senior leadership on a weekly cadence. - Hire and develop the next generation of AMs - training on product, buyer personas, competition, and tooling through role-plays, game film, and real deal work. - Coach relentlessly. Run daily 1:1s, dissect call feedback, lead enablement sessions, and build career paths for every rep on your team. - Turn what works into a system. Continuously refine team processes and tooling to improve output and efficiency as the segment scales. - Represent Account Management cross-functionally, partnering with Sales, CX, CSM, Risk, and Product to remove blockers and drive outcomes. What You’ll Need - Minimum 2+ years of quota-carrying sales or account management experience as an individual contributor, with a proven, consistent track record of exceeding goals (new business or cross-sell/upsell experience mandatory) - Minimum 1+ years building and leading account management or sales teams, with a track record of exceeding goal (new business or cross-sell/upsell experience mandatory) - Prior success in fast-paced, results-oriented GTM environments, ideally at SaaS or AI companies - A genuine passion for hiring, with a thoughtful approach to team planning and development - Ability to articulate contractual, technical, and financial value to customers, including executive leaders - Proficiency with data analytics tools (Salesforce, Looker, Excel) and a bias toward using data to drive decisions - Strong collaboration and influencing skills, backed by excellent communication and presentation ability - High agency and adaptability - no two days are the same, and the only constant is change - A desire and willingness to jump headfirst into complex, challenging problems for the good of the business. 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, 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 As Director, Analytics Engineering, you'll lead a team of 8 and report to the VP of Data & Insights. You set direction across the data organization, stay close enough to the work to guide technical decisions credibly, and partner with Data Engineering, Data Science, IT, and business leaders. You will have three mandates: Build trusted, AI-ready self-service. Deliver a semantic model that answers business questions correctly, with the telemetry, evals, and model flexibility to prove it and keep costs in check. Set the strategy for how GitLab accesses data. Own the data models, BI tools, and AI access patterns (Claude, MCP servers, Slack agents) that put trusted data in everyone's hands. Build data applications the whole company relies on. Ship production-grade apps that combine trusted data, APIs, and AI to answer questions dashboards can't. What you'll do Build and own a trusted semantic model, with governed metrics and business definitions, that answers business questions consistently across every tool Build evals and ground-truth datasets that measure answer quality, and use them to drive improvements and catch regressions Instrument telemetry to see who uses the semantic model and AI tools, what they ask, and where they get stuck Build a model-selection harness so GitLab can route work across LLMs and stay flexible on cost and quality Own data modeling and curated datasets for self-service, with the ownership, data contracts, testing, and documentation that make them AI-ready Define the AI data access strategy: when to use BI, Claude, MCP servers, or Slack agents, with the governance and security to keep access trusted and reliable Own the enterprise BI and self-service tools strategy (e.g., Tableau, Omni), including evaluation, adoption, and cost Build self-service capabilities, such as Claude skills, documentation, and guided workflows, that help people find and use data on their own Build and own company-wide data applications, from Claude-built single-page apps to apps inside BI tools, that combine Snowflake data, API calls, AI-powered deep dives, and write-back to Postgres or Snowflake Set engineering standards for data apps (security, authentication, testing, deployment, and monitoring) so they're reliable at company scale Set a long-range roadmap tied to company strategy, and a lightweight operating model that balances urgent stakeholder needs with investment in reusable data products and tech-debt reduction Hire, coach, and retain a high-performing team of 8: build career paths, develop leaders, distribute ownership, and recognize great work Act as customer zero for GitLab and GitLab Duo in data workflows, sharing feedback with Product and Engineering What you'll bring 12+ years in analytics engineering, data engineering, or BI, including 5+ years leading teams and 2+ years managing managers or senior leads Deep expertise in data modeling and semantic layers (e.g., dbt Semantic Layer, Snowflake semantic views, LookML, Cube), and expert dbt, including testing and CI/CD across a multi-team project Hands-on experience building LLM-powered data access (text-to-SQL, agents, MCP servers), including evals and telemetry for answer quality, and advanced use of AI coding agents such as Claude Code Expert SQL and strong Snowflake experience; working knowledge of Python Strong data governance experience: data quality, lineage, certified datasets, and access controls (RBAC, row access and masking policies) Track record of leading cross-functional data initiatives from strategy through adoption and measurable business impact, including enterprise BI and self-service at scale Systems thinker who sees how models, pipelines, and architecture decisions connect, and designs for second-order effects Exceptional communicator who writes clear technical specs, sets a clear vision, makes trade-offs visible, and influences executives and peers across the company Pragmatic in ambiguity: makes sound decisions on emerging technology and ships the right next version rather than waiting for the ideal end state Able to use GitLab, thrive in an all-remote, asynchronous company, model GitLab's remote working competencies, and work in line with GitLab's values Nice to Have Experience with LLM routing or gateway tools and managing model costs Experience with Tableau, Omni, or a BI platform migration Experience with web app development (e.g., React, TypeScript) and Postgres Experience owning finance or revenue-critical data (e.g., ARR, consumption) where accuracy and auditability are non-negotiable About the Team Analytics Engineering makes GitLab's data trusted, easy to find, and ready for anyone to use, whether they ask a dashboard, Claude, or a Slack agent. We own the curated data models, the semantic layer, the self-service tools, and the data applications that let teams answer their own questions. AI is changing how people get to data. Questions that once went through an analyst now go straight to AI tools, so the answers are only as good as the data models and business definitions behind them. Our job is to make those answers correct, consistent, and measurable. 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 $139,200 — $285,600 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: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Own the commission platform end to end, including plan configuration, crediting rules, user access, and changes each plan year. - Build and maintain the data flows between Salesforce, the commission tool, HRIS and payroll so that bookings, roster changes and payouts stay in sync. - Turn new plan designs, deal types and SPIFs into working system logic, and test them before they go live. - Automate manual steps, build self-serve dashboards on attainment and payout cost for reps and leaders, and keep clear documentation for every rule and process. - Partner with Accounting on monthly close: deliver commission accruals, reconcile commissionable bookings to billing and revenue, and support commission capitalization. - Keep employee changes (hires, transfers, leaves, and exits) accurate in the commission system, and manage role-based access so pay data stays confidential. WHAT YOU'LL BRING - 5+ years in sales compensation systems, commissions operations, or a related RevOps or finance systems role. - Hands-on experience administering a sales compensation platform such as CaptivateIQ, Xactly, Spiff or Varicent, including building plans and calculation logic from scratch. - Strong Salesforce knowledge: objects, fields, reports, and how opportunity and booking data flows into commission calculations. - Working knowledge of commission accounting, including accruals, month-end close, and reconciling payouts to the general ledger. - Experience integrating an HRIS (e.g., Workday) with a commission platform, and sound judgment handling sensitive employee and pay data. EVEN BETTER... - Experience managing a commission platform at a fast-growing company. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Berlin Office; Bosnia; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Kosovo; Portugal; Poland; Serbia; Germany; Austria; Finland; Montenegro; 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. 🎯 Your main goal will be to identify and reduce security risks across n8n's product and internal systems, using threat modelling, hands-on security expertise, and cross-functional collaboration to help teams design, build, and operate more secure systems. You'll join our growing security team at a pivotal stage, acting as a trusted security partner to teams across the business. You'll help us build a move from reactive security management to a proactive, scalable security practice. Here's what you'll be driving: THREAT MODELLING, RISK ASSESSMENT & SECURITY DESIGN - Conduct threat modelling and risk assessments across product features, AI agents, cloud infrastructure, corporate IT, internal applications, and data systems, identifying vulnerabilities and recommending practical mitigations. - Partner with Engineering, Cloud, IT, and Data teams to review security designs, define actionable security requirements, and influence the implementation of appropriate controls. - Help teams embed security into their development processes through secure coding guidance, design reviews, documentation, and security tooling that enables them to identify and address risks independently. VULNERABILITY MANAGEMENT & COORDINATED DISCLOSURE - Participate in the security triage rotation, assessing incoming vulnerability reports, validating findings, and prioritising remediation based on severity and business impact. - Collaborate with engineering teams to coordinate vulnerability remediation, verify fixes, and support secure patch and release processes. - Help manage our vulnerability disclosure and bug bounty programmes, including engagement with security researchers, coordinated disclosures, and GitHub Security Advisories. SECURITY OPERATIONS & INCIDENT READINESS - Help establish and improve logging, detection, and protective monitoring capabilities across our infrastructure, corporate systems, and internal applications. - Develop and improve incident response processes, runbooks, and exercises to strengthen our ability to detect, investigate, and respond to security incidents. - Work closely with system owners to identify security gaps, prioritise remediation, and verify that implemented controls effectively reduce risk. CUSTOMER TRUST & COMPLIANCE ENGINEERING - Support SOC 2 compliance by helping establish continuous control monitoring, automated evidence collection, and processes that make security assurance part of everyday operations. - Collaborate with Sales, Solutions Engineering, and Customer Success to respond to customer security assessments and build reusable resources that streamline future requests. - Partner with Legal, Finance, IT, and other stakeholders to assess security risks, improve security policies and controls, and strengthen trust with enterprise customers. We're hiring two Security Engineers with complementary strengths, so you don't need to be an expert in every security domain. REQUIREMENTS MUST-HAVES - 🔍 Threat Modelling & Risk Assessment: You have hands-on experience assessing real-world systems, identifying security risks, determining defensible severity levels, and recommending practical controls that teams can implement. - 🛠️ Technical Security Expertise: You can validate security findings, reproduce vulnerabilities, develop proof-of-concepts, and write code or automation when needed to demonstrate risks or improve security processes. - 🔐 Security Engineering Experience: You've worked hands-on in infrastructure, product, or application security within a product-focused organisation, with a strong understanding of how modern systems are designed and secured. - 🤝 Cross-functional Influence: You're comfortable acting as an internal security consultant, advising teams, challenging technical decisions constructively, and influencing stakeholders without direct authority. - 🎯 Risk Remediation & Ownership: You've helped secure systems you don't directly own, translating security findings into actionable requirements and working with responsible teams to ensure effective remediation. - 🤖 AI & LLM Fluency: You're comfortable using LLM-assisted tooling and understand its limitations, security implications, and potential failure modes. - ✍️ Clear Communication: You can explain complex security risks, document technical findings, and provide practical guidance that engineers and non-technical stakeholders can confidently act on. You also bring deep expertise in at least two of the following areas: - 💻 Application Security: You've developed security checks, engineering guardrails, tooling, or guidance that helps product teams build and ship secure software. - ☁️ Platform Security: You have experience securing a major cloud provider and Kubernetes environments, including areas such as sandboxing, multi-tenancy, or identity. - 🔑 Corporate Security: You've worked on identity and access management, endpoint security, employee access lifecycles, or data access controls across corporate environments. - 🚨 Security Monitoring: You've implemented logging, protective monitoring, or security detection capabilities that support effective investigation and incident response. - 📋 Security Assurance & Compliance: You've supported SOC 2 or ISO 27001 from an engineering perspective, including implementing technical controls or automating compliance evidence collection. NICE-TO-HAVES - 🐛 Vulnerability Disclosure: You've helped operate bug bounty or coordinated vulnerability disclosure programmes, including publishing security advisories such as GHSAs or CVEs. - 🧠 AI & Agent Security: You have experience assessing or securing LLM-powered applications and AI agents, including risks related to permissions, tool access, prompt injection, or sensitive data. - 🏢 Corporate IT Tooling: You're familiar with platforms such as Okta, Azure, or Drata and their role in securing corporate systems and supporting compliance. - 🌍 Open-source Ecosystems: You've worked with open-source or source-available products, contributed to security communities, or are already familiar with n8n. - 🎯 Penetration Testing: You have practical penetration testing experience and can independently identify, demonstrate, and help remediate security vulnerabilities. - 🌱 Early-stage Security Experience: You've been an early security hire or helped establish security practices in a startup or rapidly scaling organisation. Why join us? At n8n, you'll help shape security at a defining stage of our growth. We're building a security practice that goes beyond reacting to vulnerabilities, and you'll play a key role in how we identify risks, influence engineering decisions, and establish security practices that scale with the business. You'll work across a broad range of challenges, from securing AI-powered product features and our source-available automation platform to improving corporate security, strengthening incident readiness, and making compliance more automated. You'll have direct exposure to teams across the company, the opportunity to influence important technical decisions, and the autonomy to turn your expertise into measurable security improvements. Sound like a challenge you're excited to take on? Apply now — and help us build the future of secure 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: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. We’re looking for a Machine Learning Engineering Manager to join us in London on a hybrid basis (3 days a week). In this role, you’ll lead the team that owns intelligence across our ordering experience, from store page and item selection through cart, upsell and checkout, plus bundling. Personalisation is one of the biggest levers we have to drive value to our customers, and your team will make the app feel less like a generic catalogue and more like one that understands what each customer is trying to do. What you’ll be doing Lead and develop a high-performing team of around 12 Machine Learning Engineers, distributed across multiple pods and spread across London, Finland and Berlin, fostering a culture of technical excellence, ownership and rapid experimentation. Own and evolve the ranking, recommendation and personalisation systems across ordering surfaces, helping customers find the right items quickly as our selection grows. Set the technical vision for the team’s ML ecosystem, balancing near-term product goals with longer-term bets on areas like on areas across recommendations to agentic approaches, and intent-aware experiences that adapt dynamically to how customers browse and act. Lead the unification of our recommendation models across brands (Deliveroo, Wolt and DoorDash) and markets, working out how to power personalisation at global scale while keeping it feeling hyperlocal, and how to balance reusable core models against surface-specific adaptations without ending up with a sprawl of models. Partner with Product, Data Science and neighbouring engineering teams to identify high-impact opportunities, define roadmaps and translate ambiguous business problems into ML solutions. Provide technical guidance on modelling approaches, ML system design and production architecture, stepping in to challenge modelling decisions where needed without becoming a bottleneck. Drive key marketplace metrics such as conversion and engagement, balancing velocity and scope against sustainable, long-term technical quality. Stay close to the code so you understand how your team actually works, and help evolve the AI-assisted engineering practices and tooling that empower the team. What you’ll need to thrive Proven experience line-managing ML Engineers, ideally 6 or more direct reports, with a track record of building high-performing teams, coaching engineers through career progression and managing a horizontally distributed team across multiple pods or workstreams. Significant experience building and deploying machine learning systems in production at scale, in areas like Recommendations, Personalisation, Search, Ranking or Information Retrieval. Strong stakeholder management across product, engineering and business functions, with experience working across multiple teams and geographies. A pragmatic, impact-focused mindset, prioritising outcomes and customer experience over theoretical perfection. Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale - Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast - Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership - Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders - High standards, collaboration, flexible working and continuous learning. ​​💰 Share in the success you help create - Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Berlin Office; Norway; Latvia; Netherlands; Hungary; Portugal; Poland; Serbia; Germany; Austria; Lithuania; Ireland; United Kingdom; Spain 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. 🎯 YOUR MAIN GOAL WILL BE TO BUILD AND OPERATE N8N’S SHARED CONTEXT INFRASTRUCTURE — OUR “COMPANY BRAIN” — SO BOTH PEOPLE AND AI AGENTS CAN RELIABLY ACCESS ACCURATE, WELL-STRUCTURED, AND APPROPRIATELY GOVERNED KNOWLEDGE ACROSS THE COMPANY. To make that happen, you’ll shape how our knowledge is structured, contributed, accessed, and maintained as we build the context layer powering n8n’s agentic future: DESIGN OUR INFORMATION ARCHITECTURE - Define the taxonomy, structure, contributor guidelines, and templates that turn fragmented company knowledge into reliable, reusable context. - Establish standards that make knowledge easy to navigate, maintain, and use without creating duplication or another layer of content sprawl. - Evolve these standards as our functions, knowledge sources, and agentic use cases grow. ONBOARD & ENABLE TEAMS - Onboard functions to the company brain and train designated champions to structure and maintain their own knowledge over time. - Give non-technical contributors the guidance, templates, and support they need to contribute high-quality context independently. - Partner with the Internal AI Enablement Lead to develop a shared network of champions who help scale strong knowledge practices across n8n. OPERATE OUR CONTEXT PLATFORM - Configure and operate ingestion from qualitative sources such as Slack, Gong, Drive, and Notion using our context platform’s tooling. - Own day-to-day platform configuration and basic troubleshooting, escalating genuine engineering challenges to our Automation team or vendor when needed. - Partner with IT, Security, and Legal to define requirements for how people and AI agents access sensitive company knowledge. BUILD FOR LONG-TERM TRUST & REUSE - Keep content structures, contributor guidelines, and knowledge freshness current as n8n and the platform evolve. - Work with functions to ensure the company brain becomes a trusted source of context rather than another parallel knowledge repository. - Provide product feedback to our context platform vendor and anticipate shared context patterns and capabilities that future agents will need. REQUIREMENTS MUST-HAVES - 🗂️ Information architecture: You have proven experience designing structured content or knowledge programs at scale, including taxonomies, style guides, contributor guidelines, templates, or information architecture. - 🧠 Knowledge systems experience: You’ve worked hands-on with knowledge or context systems and understand what it takes to turn fragmented qualitative information into something others can reliably use. - ⚙️ SaaS platform fluency: You’re comfortable configuring and operating SaaS knowledge or context platforms, working with APIs and integrations, and independently troubleshooting basic issues. - 🎓 Stakeholder enablement: You have a track record of training non-technical stakeholders and enabling them to confidently maintain high-quality content themselves over the long term. - 🔐 Governance collaboration: You’re comfortable partnering with IT, Security, and Legal on access requirements and compliance-sensitive data flows without needing to own the underlying technical architecture. - ✍️ Communication: You have strong written and verbal communication skills and can set a clear quality bar for how company knowledge is structured, documented, and shared. NICE-TO-HAVES - 🤖 Context platforms: You’re familiar with Qontext.ai http://Qontext.ai or a comparable agent-context platform. - 🔌 MCP: You have experience with or a strong understanding of Model Context Protocol (MCP). - 🏷️ Knowledge governance: You have a background in knowledge management, metadata, or data governance. Why join us? At n8n, you’ll have the opportunity to shape how an entire company’s knowledge becomes usable — not only by people, but by the AI agents increasingly working alongside them. You’ll build a capability we don’t have today and help establish the context layer that future agentic initiatives across n8n will depend on. You’ll have real ownership over how company knowledge is structured, governed, and maintained, while working closely with teams across IT, Security, Legal, Data, and AI & Automation. You’ll also have the support of a strong technical team and vendor partner, so your focus can stay on creating a trusted, scalable knowledge system rather than building every piece of infrastructure from scratch. As n8n grows, you’ll help turn fragmented knowledge into a shared company brain that teams can contribute to confidently and agents can depend on reliably. Sound like a challenge you’re excited to take on? Apply now — and help us build the context layer for 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: Berlin Office; Norway; Latvia; Netherlands; Hungary; Portugal; Poland; Serbia; Germany; Austria; Lithuania; Ireland; United Kingdom; Spain 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. 🎯 YOUR MAIN GOAL WILL BE TO TURN N8N’S INTERNAL AI AND AUTOMATION CAPABILITIES INTO SOMETHING EVERY FUNCTION CAN CONFIDENTLY USE, BUILD WITH, AND LEARN FROM. To make that happen, you’ll create the programs, experiences, and foundations that help teams across n8n build their AI and automation fluency: DRIVE HANDS-ON ENABLEMENT - Run weekly, role-specific workshops, prioritizing less-technical functions such as Legal and Customer Support. - Lead hands-on sessions where you build live alongside teams, helping them turn real workflows and challenges into working automations. - Run Build Along Office Hours and Bounty Hunts that give teams regular opportunities to learn, experiment, and solve problems together. - Help teams identify useful automation opportunities, understand the process they are changing, and decide when to reuse an existing solution, build themselves, or involve the Automation team. OWN DOGFOODING & EXPERIMENTATION - Own our monthly Dogfooding Day end-to-end, from planning and coordination through execution and follow-up. - Design and run hackathons and other experimentation initiatives that encourage teams to explore new ways of working with AI and automation. - Turn learnings and outputs from these initiatives into reusable assets that help other teams move faster. SCALE AI FLUENCY & COMMUNITY - Own periodic AI fluency survey cycles alongside the People team and help calibrate what fluency means across different functions. - Build visibility around internal wins and reusable solutions so teams can learn from what others have already created. - Identify and support champions across functions, informally leading the emerging Guild and helping automation knowledge spread across the company. ENABLE SAFE, REUSABLE AUTOMATION - Act as product owner for our internal “safe playground,” partnering with IT, Security, Data, and Solutions Engineering on access, credentials, environments, and requirements. - Turn outputs from workshops and office hours into reusable templates and resources that teams can easily discover and adopt. - Actively help teams reuse existing solutions rather than reinventing them, making automation more accessible and scalable across n8n. - Check whether the things built are still in use four weeks later; provide evidence that teams reuse existing assets and can make routine changes without handing everything back to the Automation team. REQUIREMENTS MUST-HAVES - 🛠️ Practitioner-level n8n fluency: You’ve built real, meaningful automations in n8n and are comfortable building live alongside others. - 🎓 Technical enablement experience: You’ve run structured, recurring enablement programs such as workshops, office hours, or build-alongs. - 🤝 Non-technical audience expertise: You have a strong track record of helping non-technical teams understand, adopt, and confidently use technical tools. - 🏗️ Cross-functional ownership: You’re comfortable partnering with IT, Security, and Data teams to define and own requirements around access, credentials, and environments without needing to implement the infrastructure yourself. - 🌍 CET overlap: You’re based in a time zone that gives you strong overlap with Central European working hours, within a couple of hours of Berlin. - 💬 English fluency: You have fluent or near-native English and can communicate clearly and confidently with audiences ranging from individual contributors to senior stakeholders. NICE-TO-HAVES - 🌱 Champion programs: You’ve helped build or run an internal ambassador, champion, or community program. - 📊 Fluency measurement: You have experience running capability, fluency, or adoption surveys and turning the results into actionable programs. - 🔐 Access & governance: You’re familiar with access or governance models and have worked with stakeholders responsible for secure environments and tooling. Why join us? At n8n, you’ll have the opportunity to build a brand-new enablement function from the ground up and shape how AI and automation become part of everyday work across the company. You’ll have a direct line to the Head of AI & Automation, high visibility across functions, and genuine autonomy to design an enablement model rather than inherit one. As n8n scales, you’ll become a key connector between the people building our internal automation capabilities and the teams putting them to work. You’ll help create a culture where teams don’t just learn about automation — they confidently build, experiment, share what works, and help others do the same. You’ll join a fast-growing, remote-first company that values autonomy, experimentation, and builder culture, with the opportunity to influence how we scale AI fluency across the organization. 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: Austin, in-person Job Title: Senior Growth Marketer Austin, TX, In Office Own retention for the millions of diners who use inKind Food is at the center of culture, hospitality, and daily life across the planet. At inKind, we're building a new way to help restaurants thrive, built by restaurateurs for restaurateurs. We power the relationship between millions of diners and over 10,000 restaurants. We are looking for a Senior Growth Marketer at inKind who can own user engagement and lifecycle development You'll combine consumer marketing instincts with strong data and technology fluency to decide what we say, to whom, through which channels, and when, to drive results. Our team has a builder-first mindset, leveraging Braze and Snowflake to turn rich user data into personalized, lifecycle-driven marketing. You will own the engagement and lifecycle strategy across in-app, communications, and 3PD platforms. You will build a marketing program where automated agents are deeply integrated into operations. You'll work daily with designers, engineers, analysts, and other cross-functional team members. What You'll Work On Big picture, your job is simple - increase user LTV. How you’ll do it: Engagement Strategy Own the engagement and lifecycle roadmap, from hypothesis and segmentation to creative and execution to results and measurement to iteration and optimization to continual audit and enhancement over time Define lifecycle stages (active, lapsing, high-value, dormant) using behavioral data and turn them into programs that improve engagement and user value Write creative briefs and project plans that our automation and creative teammates can build from Experimentation and Analytics Build your own cohorts and segments, and read your own dashboards without waiting on an analyst Design and ship experiments end to end (hypothesis, segment, creative, measurement, iteration and optimization), then productionalize what works Develop process and tools to track experiments more effectively across campaigns and channels Agent-Driven Marketing Create the playbooks, infrastructure, prompts, and documentation that agents use to run campaigns safely Set the guardrails (rules, approval steps, and monitoring) for campaigns that agents run Use AI tools in your own daily workflow and help the team do the same Minimum Qualifications 5+ years of B2C marketing experience, ideally for a consumer app Experience running lifecycle marketing across multiple channels Demonstrated experience designing and shipping experiments end to end Comfort analyzing large datasets Can build cohorts and segments from raw data, analyze results independently, and explain them to non-analysts Hands-on use of AI tools in your workflow, and the ability to tell us which ones and how Preferred Qualifications Startup experience Experience with a CEP such as Braze, Iterable, or Customer.io (the thinking matters more than the tool) Experience running paid retargeting to reactivate lapsed diners. Background in consumer marketplaces, rewards, restaurants, or hospitality SQL familiarity or experience working with a cloud data warehouse (Snowflake, Redshift, BigQuery) Experience working alongside engineers on automated or data-driven marketing systems Some of Our Benefits Exciting opportunities at the forefront of restaurant technology Generous PTO and company holiday policy + company-paid Short Term Disability 100% employer-covered health and dental insurance; higher-tier and dependent coverage options available Vision plan available at employee cost Child care benefits and generous parental leave Dog-friendly Austin office with great views of downtown Daily lunches and snacks for in-office team members Salary $130,000 - $180,000 DOE Who we are: inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards. Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat. Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community. inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions. By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third-party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our Privacy Policy . For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data.

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity The Solutions Engineering team are the customer facing product experts. The team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure that they are happy and successful. We share our technical and product expertise with customers through demos, hands on enablement, presentations, technical evaluations and ongoing interaction. We partner closely with our Sales team to help qualify and close opportunities. The Solutions Engineering team is one of the primary routes of communication from our customers to the Product Management and Engineering teams. A Solutions Engineer is able to really listen to a prospect or customer, understand their requirements, ask the right questions to extract as much information as required and translate all that into a solution with Grafana Labs technology. They are the bridge between the highly technical engineering folks here at Grafana Labs, our customers and our Sales team. What You'll Be Doing Partnering with our Sales team to articulate the overall Grafana value proposition, vision and strategy to customers Owning the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility Delivering product and technical presentations to potential and existing customers Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape Driving product conversations based on need and problems with customers Working with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material What Makes you a Great Fit: 5+ years of technical pre-sales experience Be open to various and complex assignments, this will require strong judgment, collaboration, and leadership You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products You love solving technical challenges and thrive on bringing creative solutions to our customers You should have a technical mindset and a desire to grow technically. Must be located in United Kingdom Bonus Points For: Experience with Open Source technologies, or in the Metrics/Monitoring space is an advantage Experience with sales methodologies like MEDD(P)ICC is a plus Compensation & Rewards In the UK, the OTE (On-Target Earnings) compensation range for this role is EUR 110,000 - EUR 134,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Prague, Czechia About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. We kindly ask all candidates to submit a resume in English. Are you an experienced sales professional with a passion for acquiring new partnerships and expanding into new territories? Do you thrive on building strong networks with restaurant and retail store owners in your city? If this resonates with you, then we have an incredible opportunity waiting for you! As the ideal candidate, you will be an ambitious and self-motivated salesperson, driven by exceeding your own sales targets and constantly seeking personal growth and improvement. Your outgoing and communicative personality enables you to effortlessly connect with diverse individuals, forging long-lasting relationships. What you’ll be doing Explore and prospect the market to uncover untapped opportunities. Identify potential partnerships and engage with restaurants and retailers that align with Wolt's vision. Systematically manage the pipeline of new potential partnerships. Understanding venue performance in order to set profitable business terms and conducting negotiations regarding partnership terms. Demonstrate exceptional communication skills while collaborating closely with all relevant departments Our humble expectations You know how to communicate in B2B and B2C, both over the phone and in the field. Sales is your passion, and a "no" only fuels your drive to achieve a resounding "yes". Networking and relationship building come naturally to you Shyness and quietness are not part of your vocabulary You possess a natural "hunter" instinct and will stop at nothing to secure a meeting with a potential business owner You thrive in an environment where you have high ownership and ambition to go beyond the obvious You’re a team player with a positive attitude and love to be involved You are an active driver Fluent in Czech/Slovak and English Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! We will be reviewing applications on an ongoing basis, so if this sounds like an opportunity you want to pursue, apply today! Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Основное: Python, FastAPI, Git, Docker. AI фреймворки: OpenAI SDK, LangChain / LangGraph, LlamaIndex.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.  Project Details Job Title: Data Labeling Analyst (Speech & Voice AI)  Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Hourly Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in Spanish (Mexico) Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.  Project Details Job Title: Data Labeling Analyst (Speech & Voice AI)  Hiring in: Onsite (Bay Area, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Hourly Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Bellevue, Redmond, Seattle, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in Spanish (Spain) Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.