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Location: United States (Remote) Workplace: Remote SUMMARY   Infrastructure Foundations builds and operates the multi-cloud platform underneath Temporal Cloud, turning the complexity of AWS, Google Cloud (GCP), and Azure into one cohesive platform the rest of Temporal builds on. Every cell we run is provisioned, managed, and safely changed by systems this team owns. When a customer's workflow runs, it runs on our work. We are heading into the next stage: Kubernetes-based infrastructure platforms built for the next orders of magnitude of growth.   We are looking for a Staff Software Engineer to design and build the next version of that platform. You will own a significant multi-component system, from the APIs other teams build on to how infrastructure state is modeled, changed, and recovered, and coordinate the engineers building its parts. You will stay close enough to the code to prove decisions out, build the capability roadmap for this area with the engineering manager, and lead through design reviews and the hardest incidents.   What makes this team different - Real multi-cloud, not multi-cloud on a slide. We run across AWS, GCP, and Azure and keep extending the platform to new providers. The abstractions you design are the ones every new cloud plugs into. - We build Temporal Cloud with Temporal. Cell creation, component deployment, and cloud provisioning run as Temporal workflows. You will shape how Temporal runs its own infrastructure on Temporal. - A platform transformation, not maintenance. HA/DR for our control infrastructure, a declarative model for the whole platform, and a deployment control plane, all designed while a live platform keeps running. - Everything sits on top of it. Nearly every team at Temporal depends on what we build, so the standards you set for this platform shape how those teams ship.   Responsibilities   - Multi-cloud architecture: Design the abstraction model that makes AWS, GCP, and Azure read as one platform. Decide where provider differences in IAM, networking, quotas, and failure modes get absorbed, and how new regions and providers plug in. - Own a significant system: Design and build the multi-component platform end to end, and coordinate the engineers working on its parts. Make the system-level tradeoffs between conflicting requirements, and make them explicit. - Declarative infrastructure model: Define how components are described, versioned, and reconciled across Kubernetes workloads and supporting cloud resources. Set the approach for reproducible environments, drift visibility, and safe reconciliation. - Deployment control plane: Design the shared inventory, dependency awareness, rollout sequencing, and approvals that let many teams change production safely. Keep orchestration and safety policy cohesive while integrating with the frameworks that execute deployments. - Reliability by design: Spot architectural flaws before they cost us performance or reliability. Make bounded blast radius, progressive rollouts, observability, load and failure testing, and recovery part of every design. Stay cool in the hardest incidents, then bring what we learn back into the platform. - Roadmap and judgment: Build the capability roadmap for this area with the engineering manager. Scope big ideas down into well-understood pieces, evaluate the viability of requests from other teams, and weigh technical and business risk when the path isn't clear. - Raise the bar: Define the team's development process and operational best practices. Coach Senior engineers and invest in their growth, lead design reviews, and catch the critical PRs, as a keeper of standards who is seen as a value-add, not a blocker. Help hire the engineers who will build this with you. - Cross-team collaboration: Work with Traffic, Control Plane, Developer Productivity, Security, and service owners. Communicate complex designs clearly, influence toward the right course of action, and earn adoption through useful abstractions and dependable operations. Own compatibility and migration as the platform evolves.   Qualifications - 10+ years building software, including significant time designing and operating distributed infrastructure in production. - Production infrastructure experience on at least two of AWS, GCP, and Azure, including building, operationalizing, and scaling Kubernetes-based platforms across them. - Deep Kubernetes knowledge: scheduling, controllers and reconciliation, resource management, isolation, and upgrade safety. - A record of designing and building a significant multi-component system and coordinating other engineers to deliver it, ideally through a substantial infrastructure transition while production kept running. - Proficiency across a diverse set of technologies, with strong coding skills in Go or another systems language. You still write meaningful code. - Excellent written and verbal communication. You can explain complex systems, make tradeoffs explicit, and drive alignment with engineering and leadership. - Bachelor's degree in Computer Science or a related field, or equivalent practical experience.   Required Skills - Multi-cloud platform thinking: reusable abstractions that account for provider differences and stay secure, observable, and maintainable. - Kubernetes architecture and operations judgment, especially recovery under failure. - System-level tradeoffs and good judgment in ambiguous situations, balancing foundational work, customer needs, and unplanned operational demands. - Raising the bar through design reviews, code reviews, coaching, and clear technical writing.   Preferred Experience   - All three providers. Building and operating infrastructure across AWS, GCP, and Azure, especially bringing a new provider onto an existing platform. - Building Kubernetes controllers and operators, including cloud resource controllers like Crossplane or AWS Controllers for Kubernetes (ACK). - Upstream open source contributions or maintainer experience in Kubernetes, CNCF, or similar infrastructure projects (conference talks are a bonus). - Deployment control planes, progressive delivery, dependency-aware rollouts, and safe migrations of production infrastructure. - Automating lifecycle management, such as patching and upgrades, for cloud native software across a large fleet. - Infrastructure services in Go and durable workflow orchestration using Temporal.   Tech you'll work with - Languages: Go (primary) - Infrastructure: Kubernetes (EKS, GKE, AKS), Karpenter, Helm, Terraform, and Temporal (we dogfood extensively) - Cloud providers: AWS, GCP, Azure Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States (Remote) 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: We’re looking for an experienced and detail-oriented Revenue Accounting Manager to join our Finance Team!  Reporting to the Director of Accounting (Revenue & Technical Accounting), you will play a key role in ensuring accurate, timely, and compliant revenue recognition for Grafana Labs, drive month-end close excellence, strengthen internal controls , and partner cross-functionally across RevOps, Deal Desk, Billing, Legal, Finance & Strategy, and Audit teams.  This is an individual contributor position. Our ideal candidate is a strategic, detail oriented revenue accounting professional with deep ASC 606 expertise and hands on experience with quote-to-cash processes in a SaaS or cloud consumption-based environment. They apply sound technical judgment to complex contracts, partner credibly with Sales, Legal and Deal Desk, and have a track record of building scalable, controlled and automated revenue processes. What You'll Be Doing: Ensure proper application of ASC 606 to customer contracts, including subscription, usage-based and committed-spend arrangements, as well as variable consideration, multi-element deals, and contract modifications. Review non-standard contract terms and prepare technical accounting analyses and documentation that are well supported, audit ready and practical to execute. Identify and implement opportunities to use automation, AI and other tools to streamline revenue processes. Perform and review monthly accounting close activities and deliverables for revenue (i.e. journal entries, account reconciliations, revenue estimate calculations, month-end analytics). Translate ASC 606 conclusions into system configuration, and manage and enhance revenue automation, including NetSuite ARM, to improve accuracy, scalability and efficiency. Execute and continuously improve month-end close accuracy and timeliness. Support the financial reporting process by preparing quality and audit-ready supporting schedules. Collaborate with Sales, Legal, DealOps and Billing to evaluate deal structures and resolve revenue-impacting terms before booking. Assist with assessing the revenue implications of new products, pricing changes and go-to-market models, and help set accounting positions and policy. Design, maintain and test SOX compliant internal controls over revenue, and identify opportunities to strengthen them. Be a key partner for external auditors, providing audit ready documentation and support for quarterly and annual reviews. Use SQL, Python or advanced Excel to analyze large data sets, find root causes and surface trends in revenue, billings and deferred revenue. What Makes You a Great Fit: Bachelor's degree in Accounting, Finance, or related field; CPA preferred. 6+ years of progressive revenue accounting experience in a Big 4 accounting firm and/or SaaS/technology company. Deep knowledge of ASC 606, including usage-based or consumption-based revenue models and contract modifications. Experience with revenue automation tools and ERP/CRM systems (e.g., NetSuite ARM, Zone Billing, Salesforce). Working knowledge of Claude, Codex, SQL, Python, BigQuery or advanced excel functionalities preferred. Strong analytical and problem-solving skills, with a track record of implementing process improvements. Excellent communication and interpersonal skills, capable of influencing cross-functional stakeholders. Compensation & Rewards: In the United States, the base compensation range for this role is $120,000 - $145,000. 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. #LI-Remote 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. *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: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.   THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   Forget crypto. Fintech/crypto are now one of the same. Come join us to lead Product Design for the building of elite AI products, end-to-end. A personal finance agent that shapes how people spend, save invest and live.   You’ll have real ownership of the design work: the experiences you shape, and how they look, feel and behave. You’ll work directly with product, engineering and leadership, with no layers of process between you and the work.   This is a rare 0→1 opportunity. The choices you make will shape the products and the people who use them.   We’re a small, hardworking team that moves fast and ships with purpose. We’re straight-talking, no-nonsense, and deeply invested in the quality of what we build. We care about craft, we care about our customers, and we care about getting things right.   If you’re excited by hard problems, high standards, no egos and the chance to build something genuinely new, climb aboard.     THE OPPORTUNITY - Own design end to end: discovery, concept, prototyping, delivery and launch. You are the designer, with real ownership of the outcome. - Take products from zero to one, turning an early idea or a rough problem space into something real that people use. - Build new AI products for external B2C customers, and internal AI products that shape and redefine the way that Payward works. - Thrive in ambiguity. Define the problem, set the direction and make the call when nobody has handed you a brief. - Design for non-deterministic experiences, where outputs vary and the system doesn’t behave the same way twice. Shape how people interact with, understand and trust intelligent systems. - Create visually rich, forward-thinking work that sets new benchmarks for what AI products can look and feel like. - Partner directly with product, engineering and leadership, and influence strategy and roadmap decisions, not just execution. - Prototype fast to make ideas tangible, test them and learn, then move on to the next one. - Conduct user research and use customer insights, data and experimentation to decide what to build, and keep improving it after launch. - Hold a high bar for craft and user experience in everything you ship.   WHAT YOU BRING - 7+ years of experience in product design, with a portfolio demonstrating exceptional craft and impact. - A track record of taking products from zero to launch as the lead or only designer, owning the full design process end to end. - World class product thinking: Real comfort with ambiguity, you find direction when requirements are unclear, make sound decisions with incomplete information, and adapt as things change. - Experience designing for non-deterministic experiences, such as AI-powered, generative or probabilistic products, is highly desirable. - Strong UX and visual design skills, with a record of solving open-ended problems with clarity and elegance. - Advanced prototyping skills, with the ability to communicate complex interactions and ideas quickly. - Experience influencing product strategy and cross-functional decision-making. - Strong systems thinking, with the ability to create coherent, scalable experiences from scratch. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.   THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   Forget crypto. Fintech/crypto are now one of the same. Come join us to lead Product Design for the building of elite AI products, end-to-end. A personal finance agent that shapes how people spend, save invest and live.   You’ll have real ownership of the design work: the experiences you shape, and how they look, feel and behave. You’ll work directly with product, engineering and leadership, with no layers of process between you and the work.   This is a rare 0→1 opportunity. The choices you make will shape the products and the people who use them.   We’re a small, hardworking team that moves fast and ships with purpose. We’re straight-talking, no-nonsense, and deeply invested in the quality of what we build. We care about craft, we care about our customers, and we care about getting things right.   If you’re excited by hard problems, high standards, no egos and the chance to build something genuinely new, climb aboard.     THE OPPORTUNITY - Own design end to end: discovery, concept, prototyping, delivery and launch. You are the designer, with real ownership of the outcome. - Take products from zero to one, turning an early idea or a rough problem space into something real that people use. - Build new AI products for external B2C customers, and internal AI products that shape and redefine the way that Payward works. - Thrive in ambiguity. Define the problem, set the direction and make the call when nobody has handed you a brief. - Design for non-deterministic experiences, where outputs vary and the system doesn’t behave the same way twice. Shape how people interact with, understand and trust intelligent systems. - Create visually rich, forward-thinking work that sets new benchmarks for what AI products can look and feel like. - Partner directly with product, engineering and leadership, and influence strategy and roadmap decisions, not just execution. - Prototype fast to make ideas tangible, test them and learn, then move on to the next one. - Conduct user research and use customer insights, data and experimentation to decide what to build, and keep improving it after launch. - Hold a high bar for craft and user experience in everything you ship.   WHAT YOU BRING - 7+ years of experience in product design, with a portfolio demonstrating exceptional craft and impact. - A track record of taking products from zero to launch as the lead or only designer, owning the full design process end to end. - World class product thinking: Real comfort with ambiguity, you find direction when requirements are unclear, make sound decisions with incomplete information, and adapt as things change. - Experience designing for non-deterministic experiences, such as AI-powered, generative or probabilistic products, is highly desirable. - Strong UX and visual design skills, with a record of solving open-ended problems with clarity and elegance. - Advanced prototyping skills, with the ability to communicate complex interactions and ideas quickly. - Experience influencing product strategy and cross-functional decision-making. - Strong systems thinking, with the ability to create coherent, scalable experiences from scratch. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Remote (United States) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We're looking for an experienced full-stack Documentation Platform Engineer to evolve our documentation site into a platform that delivers an exceptional experience for Tailscale's prospective and current customers. You'll build, maintain, evolve, and support the platform and tools that internal teams and external contributors use to showcase Tailscale's features and products. This includes the documentation platform itself, our content pipelines, API documentation, and search. You'll work on a highly-visible customer-facing documentation site and you'll influence how documentation gets created, published, and consumed. Key Responsibilities Continuously improve and evolve our documentation site to create a helpful, delightful, and educational experience that helps homelabbers, developers, and enterprises (and their agents) get the most of out of Tailscale's products and features. Maintain and expand our docs-as-code tooling and content publishing pipelines, ensuring a smooth experience for both internal and external contributors to publish error-free content quickly. Work cross-functionally with other engineering and product teams to integrate documentation with the Tailscale platform. Partner with designers, user research, and growth teams to implement designs and features as they move from experimentation to production. Help shape and tune a modern search and discovery infrastructure to help visitors, and agents, discover answers quickly. Work with open source contributors through GitHub discussions, issues, and pull requests. Monitor the platform's performance and maintain scalability for millions of visitors per month. Stay ahead of documentation trends through research, experimentation, and measuring results. What We Are Looking For You have a proven track record of building, extending, maintaining, and deploying documentation sites using static site generators like Hugo or Docusaurus, or documentation platforms built on NextJS, Astro, or other similar tools. You are familiar with a docs-as-code publication workflow, and you understand the impact that a good documentation experience has on user awareness, adoption, and growth. You are fluent in TypeScript / JavaScript and React, and are comfortable with Python, command-line interfaces, shell scripting, and Git, You are comfortable with modern HTML and CSS and can implement designs provided by others. You have experience with CI/CD pipelines, automated testing, and automation for content or documentation workflows to reduce repetitive tasks and provide real-time feedback to authors. You can explain the impact and implications of LLMs as both tools for application development, and as consumers of content that documentation sites publish. Nice to Have You have open source experience and are comfortable engaging with contributors on GitHub issues and pull requests. You understand how LLMs consume and interact with documentation. You understand multi-format content output (HTML, JSON, XML, raw Markdown, PDF, ePub As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. US Pay Range $163,000 — $204,000 USD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Remote (Canada) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We're looking for an experienced full-stack Documentation Platform Engineer to evolve our documentation site into a platform that delivers an exceptional experience for Tailscale's prospective and current customers. You'll build, maintain, evolve, and support the platform and tools that internal teams and external contributors use to showcase Tailscale's features and products. This includes the documentation platform itself, our content pipelines, API documentation, and search. You'll work on a highly-visible customer-facing documentation site and you'll influence how documentation gets created, published, and consumed. Key Responsibilities Continuously improve and evolve our documentation site to create a helpful, delightful, and educational experience that helps homelabbers, developers, and enterprises (and their agents) get the most of out of Tailscale's products and features. Maintain and expand our docs-as-code tooling and content publishing pipelines, ensuring a smooth experience for both internal and external contributors to publish error-free content quickly. Work cross-functionally with other engineering and product teams to integrate documentation with the Tailscale platform. Partner with designers, user research, and growth teams to implement designs and features as they move from experimentation to production. Help shape and tune a modern search and discovery infrastructure to help visitors, and agents, discover answers quickly. Work with open source contributors through GitHub discussions, issues, and pull requests. Monitor the platform's performance and maintain scalability for millions of visitors per month. Stay ahead of documentation trends through research, experimentation, and measuring results. What We Are Looking For You have a proven track record of building, extending, maintaining, and deploying documentation sites using static site generators like Hugo or Docusaurus, or documentation platforms built on NextJS, Astro, or other similar tools. You are familiar with a docs-as-code publication workflow, and you understand the impact that a good documentation experience has on user awareness, adoption, and growth. You are fluent in TypeScript / JavaScript and React, and are comfortable with Python, command-line interfaces, shell scripting, and Git, You are comfortable with modern HTML and CSS and can implement designs provided by others. You have experience with CI/CD pipelines, automated testing, and automation for content or documentation workflows to reduce repetitive tasks and provide real-time feedback to authors. You can explain the impact and implications of LLMs as both tools for application development, and as consumers of content that documentation sites publish. Nice to Have You have open source experience and are comfortable engaging with contributors on GitHub issues and pull requests. You understand how LLMs consume and interact with documentation. You understand multi-format content output (HTML, JSON, XML, raw Markdown, PDF, ePub As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. CAN Pay Range $218,420 — $273,360 CAD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Australia Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is launching a Professional Services organization to accelerate customer success, reduce time-to-value, and drive enterprise adoption for agentic workloads. As a Principal Solution Architect, you'll play a critical role in building and scaling this function. You will join a team of seasoned experts with deep experience backed by Docker's unmatched reach across Fortune 500 companies.   This is a high-visibility role working directly with senior leadership across revenue, product, marketing, and partner organizations. You'll shape service strategy, drive cross-functional alignment, and deliver offerings that accelerate both services revenue and platform expansion.   You'll serve as a trusted advisor to our largest and most strategic partners and enterprise customers, providing thought leadership on integrating Docker agentic solutions within enterprise environments. _______________________________________________________________________   RESPONSIBILITIES Build and Scale the Professional Services Practice - Develop and codify repeatable reference architecture patterns across Docker's core use cases including self-hosted and air-gapped deployments, MCP (model context protocol)/AI agent environments, IDP integrations, and secure supply chain workflows so that engagements scale consistently across customers and partners. - Translate reference architectures into customer-facing technical collateral, SOW templates, and success patterns that reduce scoping time and improve delivery consistency. - Collaborate with product, marketing, and revenue teams to integrate services into GTM motions and align delivery to Docker's AI platform roadmap. - Identify offerings that drive product expansion, renewals, and long-term customer value. - Support Partnerships & Alliances in selecting, onboarding, and enabling technical integration partners, system integrators (SIs), and service delivery partners. Drive Strategic Customer Outcomes - Act as a trusted advisor to enterprise customers, helping them adopt modern patterns for containerization, AI workflows, and secure software supply chains. - Lead technical discovery and architecture engagements that span enterprise integration layers - Architect and deliver self-hosted Docker deployments within air-gapped, regulated, and complex enterprise environments including local image registry setup, offline toolchain configuration, and compliance-driven infrastructure design. - Design and Guide customers through implementation of agentic AI toolchains, including MCP server/client architecture, tool orchestration, observability integration and secure deployment patterns aligned to Docker's AI platform. - Position Docker as a strategic and thought leadership partner, influencing long-term technology adoption and investment decisions. - Directly deliver or assign and oversee appropriate delivery partners to execute service engagements and ensure technical objectives are met. Enable Cross-Functional Success - Drive alignment and decision-making across multiple stakeholders and teams without direct reporting lines. - Translate field insights including enterprise integration patterns, IDP/SSO friction points, observability gaps, and AI deployment challenges into actionable product and services strategy, roadmap, and partner capabilities. _______________________________________________________________________   QUALIFICATIONS REQUIRED - 7+ years as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS/infrastructure company or consulting firm. - Demonstrated experience architecting and deploying self-hosted and air-gapped deployment architectures: local image registries, offline toolchain configuration, network-isolated Kubernetes clusters, and compliance-driven infrastructure constraints common in regulated industries. - Enterprise integration experience across Identity Providers (Okta, Azure AD, LDAP/Active Directory) and federated identity protocols (OIDC, SAML, SSO), including RBAC design within complex, multi-tenant enterprise environments. - Working knowledge of Model Context Protocol (MCP) and its application to agentic AI toolchains including MCP server/client architecture, tool and resource orchestration, and secure containerized deployment patterns. - Hands-on experience with AI/ML workflows, LLM deployment, and agentic AI architectures in enterprise environments with awareness of Docker's AI platform roadmap including AI agent containerization, model provenance, and AI supply chain security. - Deep understanding of container and software supply chain security: Docker Hardened Images (DHI), Secure Supply Chain (SSC), SBOM generation, image signing and attestation, vulnerability management, and runtime governance. - Excellent facilitation and stakeholder management skills; able to lead executive-level architecture conversations and influence senior stakeholders without formal authority. - Direct experience delivering high-quality services engagements that achieve customer value while meeting revenue and ARR growth targets within a revenue organization. - Recognition by enterprise customers as a strategic technical advisor. BONUS - Experience architecting AI platforms in large enterprise environments LLM deployment pipelines, model provenance, artifact signing, and secure AI supply chain patterns. - Background enabling system integrators, consultancies, or partner ecosystems. - Consulting experience with Fortune 500 clients in highly regulated sectors such as financial services, healthcare, or government. - Led AI security architecture engagements that addressed model provenance, artifact signing, and supply chain integrity for containerized AI workloads including secure MCP server deployment, tool and resource access controls, secrets management within agentic pipelines, and runtime isolation patterns for LLM-based applications. _______________________________________________________________________   WHAT TO EXPECT FIRST 30 DAYS - Onboard to Docker's mission, values, and operating model. - Deeply familiarize yourself with our product portfolio, AI platform roadmap, and strategic customers. - Build strong partnerships with Product, Engineering, and Sales functions. - Plug into the team's rhythm of business (standups, reviews, shadow customer engagements). FIRST 90 DAYS - Scope, define SOWs, delivery, and oversight of customer service engagements. - Participate in the creation of reference architectures for key use cases.. - Participate in initiatives to build out and improve the services department's offerings. ONE-YEAR OUTLOOK - Successful delivery and oversight of customer service engagements. - Contribute materially to the build-out of Docker's service offerings across AI, security, and enterprise integration practices. - Institutionalize continuous improvement by providing field feedback including enterprise integration patterns, deployment blockers, and observability gaps to the product team.   Visa sponsorship: Not available for this role. ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Remote (US); Remote (Canada); San Francisco, CA; New York, NY (HQ); Toronto, ON; Miami, FL Workplace: Remote ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As a Solutions Consultant at Ramp, you will play a crucial role in establishing and nurturing partnerships with potential customers. This involves building trust and confidence through expert demonstrations of Ramp's products and a deep understanding of our prospects' needs. Collaborating closely with Account Executives, Customer Success, and Account Management teams, you will prioritize and develop financial solutions for Ramp's key customers, ensuring that the product aligns with their evolving requirements. Acting as technical and financial experts, you will design integrated solutions, provide strategic advice to prospects, and facilitate communication between internal technical teams and prospects. Solutions Consultants drive customer success from deal evaluation to product activation, influencing product development to continually enhance Ramp's value proposition. This role requires strong technical skills, alongside strong presentation and value selling skills. WHAT YOU’LL DO - Collaborate with Ramp Account Executives to showcase technical accounting features and benefits through customized product demos, workflow illustrations, and promoting Ramp’s value proposition - Develop tailored product solutions based on a deep understanding of integration and configuration options, ensuring effective alignment with customer needs - Partner with Sales, Product and Partners to advocate for integration development in-line with customer needs - Support Sales and Post-Sales teams in executing advanced technical and accounting implementations for Ramp - Evaluate customer requirements for new opportunities, determining Ramp's suitability through use-case analysis, ROI assessments, and technical evaluations during customer discovery - Work alongside Product, Product Marketing, and Product Operations to create and maintain technical assets and an internal knowledge base of customer use cases and best practices WHAT YOU’LL NEED - 2+ years of experience in Solutions Consulting, Sales Engineering, Solutions Architecture, or similar customer-facing roles, focusing on implementing business SaaS solutions and utilizing APIs, preferably within the financial sector - Bachelor's degree in computer science, engineering, business, finance, accounting or related field - Proficiency in IdP, HRIS, and/or ERP solutions - Expertise in accounting systems, controllership needs, and finance/accounting workflows - Exceptional organizational, project management, and time management abilities - Strong skills in engineering, system design, and technical specification writing - Proactive mindset, adaptability, and comfort in a fast-paced, high-growth startup environment For candidates located in NYC or SF, the pay range for this role is $128,000 - $176,000. For remote candidates located in all other locations, the pay range for this role is $115,000-$159,000. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the team The People team helps Affirmers cultivate a high-performing, inclusive organization. We focus on three core areas: attracting talent aligned to our mission, enabling growth through people and team development, and retaining employees through thoughtful experiences and rewards. We develop Affirm’s people programs and systems to create a workplace where all employees can thrive and contribute meaningfully. By investing in our people, we create a long-term advantage for the business. About the role A great first manager can shape someone's entire experience at work. At Affirm, we're investing in emerging and new people leaders so they can build high-performing teams and help every Affirmer do the most impactful work of their career. As our Leadership Development Manager, Emerging and New Leaders, you'll shape how aspiring, first-time, and newly hired people leaders build the skills and confidence to lead at Affirm. You'll own the development journey from the moment someone considers becoming a leader through their first year in the role, creating practical, engaging experiences that help leaders navigate real challenges and build high-performing teams. This is an opportunity to build meaningful development experiences at scale. You'll combine creative learning design, audience insights, and the needs of the business to make leadership development accessible, relevant, and effective in our remote-first environment. Working closely with partners across the People team, you'll have the autonomy to test new ideas, improve existing programs, and make a lasting impact on how leadership takes shape at Affirm. What you'll do Own the new-leader experience. Lead the design, delivery, and continuous improvement of leadership development programs for aspiring, first-time, and newly hired people leaders, including Leading@, Leader 101, and other foundational learning experiences. Build learning journeys that meet leaders where they are. Create timely, practical support for key leadership transitions, from preparing for a first management role to navigating performance conversations, coaching employees, and building strong teams. Design engaging experiences that scale. Combine interactive workshops, peer learning, self-directed resources, and hands-on practice to help leaders build skills they can apply immediately, wherever they work. Create opportunities for leaders to learn together. Build communities and peer learning experiences that help new leaders connect, share challenges, exchange feedback, and grow through one another's experiences. Turn leadership expectations into everyday actions. Translate Affirm's leadership expectations into practical tools and experiences that help leaders build self-awareness, coach employees, give feedback, manage performance, and support their teams. Incorporate leadership assessments and coaching where they can deepen learning and accelerate growth. Partner across the People team. Work with People Business Partners, Talent Acquisition, Talent Management, and Learning to connect leadership development with hiring, promotions, onboarding, and ongoing employee growth. Experiment, learn, and improve. Gather feedback, test new approaches, and use data to understand what's working. Prioritize improvements that make learning more effective and easier to access. Measure what matters. Define and track measures of program effectiveness, including skill development, early leadership effectiveness, and performance indicators. Use data and feedback to improve experiences and demonstrate their impact on leaders and teams. Keep programs running smoothly. Manage learning resources, communications, vendors, and budgets to deliver consistent, high-quality experiences for a growing leadership audience. What we look for 8+ years of relevant experience with a Bachelor's degree, 6+ years with a Master's degree, 3+ years with a PhD, or equivalent experience in leadership development, learning and development, talent management, or a related field. Experience designing and delivering leadership development programs for new or first-time people leaders, with a track record of creating learning experiences that work at scale. Strong learning and experience design skills, including the ability to create engaging, practical programs that blend live learning, digital resources, and hands-on application. A product-oriented approach to learning and development, with experience gathering audience insights, prioritizing improvements, and using feedback and data to guide decisions. Experience building learning communities, peer networks, or cohort-based programs that encourage connection and continued development. Experience integrating leadership assessments and coaching into development programs to build self-awareness, strengthen leadership skills, and support ongoing growth. Strong program management and collaboration skills, with the ability to manage competing priorities, build trusted relationships, and influence cross-functional partners to deliver high-quality experiences. A creative, resourceful approach to solving complex problems, with a willingness to experiment, learn, and continuously improve. Comfort using data and emerging technologies, including AI tools, to improve learning experiences, streamline processes, and measure impact. Base Pay Grade - K Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) CAN base pay range per year: $112,000 - $172,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the team The People team helps Affirmers cultivate a high-performing, inclusive organization. We focus on three core areas: attracting talent aligned to our mission, enabling growth through people and team development, and retaining employees through thoughtful experiences and rewards. We develop Affirm’s people programs and systems to create a workplace where all employees can thrive and contribute meaningfully. By investing in our people, we create a long-term advantage for the business. About the role A great first manager can shape someone's entire experience at work. At Affirm, we're investing in emerging and new people leaders so they can build high-performing teams and help every Affirmer do the most impactful work of their career. As our Leadership Development Manager, Emerging and New Leaders, you'll shape how aspiring, first-time, and newly hired people leaders build the skills and confidence to lead at Affirm. You'll own the development journey from the moment someone considers becoming a leader through their first year in the role, creating practical, engaging experiences that help leaders navigate real challenges and build high-performing teams. This is an opportunity to build meaningful development experiences at scale. You'll combine creative learning design, audience insights, and the needs of the business to make leadership development accessible, relevant, and effective in our remote-first environment. Working closely with partners across the People team, you'll have the autonomy to test new ideas, improve existing programs, and make a lasting impact on how leadership takes shape at Affirm. What you'll do Own the new-leader experience. Lead the design, delivery, and continuous improvement of leadership development programs for aspiring, first-time, and newly hired people leaders, including Leading@, Leader 101, and other foundational learning experiences. Build learning journeys that meet leaders where they are. Create timely, practical support for key leadership transitions, from preparing for a first management role to navigating performance conversations, coaching employees, and building strong teams. Design engaging experiences that scale. Combine interactive workshops, peer learning, self-directed resources, and hands-on practice to help leaders build skills they can apply immediately, wherever they work. Create opportunities for leaders to learn together. Build communities and peer learning experiences that help new leaders connect, share challenges, exchange feedback, and grow through one another's experiences. Turn leadership expectations into everyday actions. Translate Affirm's leadership expectations into practical tools and experiences that help leaders build self-awareness, coach employees, give feedback, manage performance, and support their teams. Incorporate leadership assessments and coaching where they can deepen learning and accelerate growth. Partner across the People team. Work with People Business Partners, Talent Acquisition, Talent Management, and Learning to connect leadership development with hiring, promotions, onboarding, and ongoing employee growth. Experiment, learn, and improve. Gather feedback, test new approaches, and use data to understand what's working. Prioritize improvements that make learning more effective and easier to access. Measure what matters. Define and track measures of program effectiveness, including skill development, early leadership effectiveness, and performance indicators. Use data and feedback to improve experiences and demonstrate their impact on leaders and teams. Keep programs running smoothly. Manage learning resources, communications, vendors, and budgets to deliver consistent, high-quality experiences for a growing leadership audience. What we look for 8+ years of relevant experience with a Bachelor's degree, 6+ years with a Master's degree, 3+ years with a PhD, or equivalent experience in leadership development, learning and development, talent management, or a related field. Experience designing and delivering leadership development programs for new or first-time people leaders, with a track record of creating learning experiences that work at scale. Strong learning and experience design skills, including the ability to create engaging, practical programs that blend live learning, digital resources, and hands-on application. A product-oriented approach to learning and development, with experience gathering audience insights, prioritizing improvements, and using feedback and data to guide decisions. Experience building learning communities, peer networks, or cohort-based programs that encourage connection and continued development. Experience integrating leadership assessments and coaching into development programs to build self-awareness, strengthen leadership skills, and support ongoing growth. Strong program management and collaboration skills, with the ability to manage competing priorities, build trusted relationships, and influence cross-functional partners to deliver high-quality experiences. A creative, resourceful approach to solving complex problems, with a willingness to experiment, learn, and continuously improve. Comfort using data and emerging technologies, including AI tools, to improve learning experiences, streamline processes, and measure impact. Base Pay Grade - K Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $145,000 - $205,000 USA base pay range (all other U.S. states) per year: $128,000 - $188,000 Please note that visa sponsorship is not available for this position. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Global / Ukraine We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: join us as a Talent Sourcer! Requirements Proven experience in sourcing or lead generation (1.5+ years minimum). Strong command of outreach strategies across multiple platforms (LinkedIn, GitHub, Telegram, email, Discord, etc.). Familiarity with technical profiles and/or experience sourcing in IT or Web3 is a strong plus. Hands-on experience working with ATS, CRM and AI tools. Ability to manage talent pipelines and segment candidate pools effectively. Strong communication skills and proactive mindset. Responsibilities Build and maintain active pipelines for high-priority roles and complex specializations (Web3, blockchain, crypto focus). Develop tailored outreach strategies per role and audience. Partner closely with recruiters to ensure seamless candidate handover. Expand sourcing channels beyond LinkedIn: direct search via platforms like GitHub, Twitter, niche communities. Track and report on sourcing funnel metrics. Continuously research and map niche talent markets. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Health Insurance. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual. Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our Candidate Privacy Notice .

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: Agents are becoming first-class users of the internet. They sign in, call APIs, deploy code, and act on behalf of people and teams. That raises questions the web was never designed to answer: Who is this agent? Who does it work for? What is it allowed to do, for how long, and how do we know? As an engineer on the Agent Auth and Identity team, you'll help answer those questions. You'll build the systems that let agents and people authenticate, delegate access, and act safely across Vercel and the services our customers connect to. This is foundational work: identity and authorization sit underneath everything we ship, and getting them right for agents will shape how modern software gets built. The scope is intentionally broad. You might spend one quarter designing how credentials are issued and scoped for autonomous agents, and the next building the developer-facing APIs and SDKs that make secure auth feel effortless. You'll own systems end-to-end, from design through long-term operation in production. We're looking for engineers who care deeply about security and developer experience in equal measure, enjoy working on problems without established playbooks, and want to define how trust works in an agentic world. This is a hybrid role based in San Francisco, in the office on Monday, Tuesday, and Friday. What you'll do: Design, build, and operate the identity, authentication, and authorization systems that power Vercel and our Customers for both people and agents. Shape how agents prove who they are, act on behalf of users and teams, and receive scoped, time-bound, auditable access. Build secure, scalable APIs, services, and SDKs that make auth simple for developers and their agents to adopt. Work with modern and emerging standards (such as OAuth 2.x, OIDC, and agent-focused protocols) and help influence where they go next. Lead projects end-to-end: identify opportunities, set technical direction, and deliver improvements in security, reliability, and developer experience. Participate in the on-call rotation, taking responsibility for the reliability of critical systems. What you need: 3+ years of experience designing, building, and operating backend systems in production at scale. Strong proficiency in JavaScript/TypeScript, or a comparable backend language and the willingness to work primarily in TypeScript. Solid understanding of authentication and authorization concepts, such as sessions, tokens, OAuth/OIDC flows, permission models, and secrets management. A security-minded approach to engineering: you think about threat models, least privilege, and failure modes as part of design, not as an afterthought. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow: we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The base pay range for this role is $196,000 – $294,000. Actual salary will be based on job-related skills, experience, and location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: (Multiple States), United Kingdom About Improvado Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT. What we sell: extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA. Who buys it: Economic buyers: CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership Technical evaluators: VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security Segments: enterprise brands, mid-market, agencies Verticals: pharma and healthcare, financial services, retail and eCommerce, gaming, agencies Why this role, now Our messaging is not aligned. Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price. The category is crowded and moving fast. Battlecards exist but decay, and nobody owns keeping them true. Attribution, incrementality and causal measurement is where deals are won and lost — and it is the hardest thing to argue credibly without hand-waving. Analyst firms are a silent blocker. When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them. You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it. What you'll own Positioning and messaging. Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it. Competitive intelligence and win/loss. A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning. Sales enablement. The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays. Market and analyst relations. The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization. What we're looking for 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product. Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak. B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile. Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter. Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking. Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback. Nice to have: hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming. Not a fit if: your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work. How we measure success Win rate in competitive deals against our top 3 named competitors, baseline set in month 1. Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal. Time-to-first-deal for new reps. Field adoption of enablement assets — measured, not assumed. Win/loss program running on cadence, with themes that visibly change product and GTM decisions. Message consistency: a quarterly audit across web, deck, product UI and content. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: (Multiple States), Germany About Improvado Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT. What we sell: extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA. Who buys it: Economic buyers: CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership Technical evaluators: VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security Segments: enterprise brands, mid-market, agencies Verticals: pharma and healthcare, financial services, retail and eCommerce, gaming, agencies Why this role, now Our messaging is not aligned. Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price. The category is crowded and moving fast. Battlecards exist but decay, and nobody owns keeping them true. Attribution, incrementality and causal measurement is where deals are won and lost — and it is the hardest thing to argue credibly without hand-waving. Analyst firms are a silent blocker. When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them. You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it. What you'll own Positioning and messaging. Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it. Competitive intelligence and win/loss. A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning. Sales enablement. The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays. Market and analyst relations. The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization. What we're looking for 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product. Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak. B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile. Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter. Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking. Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback. Nice to have: hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming. Not a fit if: your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work. How we measure success Win rate in competitive deals against our top 3 named competitors, baseline set in month 1. Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal. Time-to-first-deal for new reps. Field adoption of enablement assets — measured, not assumed. Win/loss program running on cadence, with themes that visibly change product and GTM decisions. Message consistency: a quarterly audit across web, deck, product UI and content. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: (Multiple States), France About Improvado Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT. What we sell: extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA. Who buys it: Economic buyers: CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership Technical evaluators: VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security Segments: enterprise brands, mid-market, agencies Verticals: pharma and healthcare, financial services, retail and eCommerce, gaming, agencies Why this role, now Our messaging is not aligned. Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price. The category is crowded and moving fast. Battlecards exist but decay, and nobody owns keeping them true. Attribution, incrementality and causal measurement is where deals are won and lost — and it is the hardest thing to argue credibly without hand-waving. Analyst firms are a silent blocker. When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them. You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it. What you'll own Positioning and messaging. Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it. Competitive intelligence and win/loss. A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning. Sales enablement. The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays. Market and analyst relations. The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization. What we're looking for 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product. Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak. B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile. Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter. Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking. Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback. Nice to have: hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming. Not a fit if: your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work. How we measure success Win rate in competitive deals against our top 3 named competitors, baseline set in month 1. Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal. Time-to-first-deal for new reps. Field adoption of enablement assets — measured, not assumed. Win/loss program running on cadence, with themes that visibly change product and GTM decisions. Message consistency: a quarterly audit across web, deck, product UI and content. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: (Multiple States), Ireland About Improvado Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT. What we sell: extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA. Who buys it: Economic buyers: CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership Technical evaluators: VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security Segments: enterprise brands, mid-market, agencies Verticals: pharma and healthcare, financial services, retail and eCommerce, gaming, agencies Why this role, now Our messaging is not aligned. Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price. The category is crowded and moving fast. Battlecards exist but decay, and nobody owns keeping them true. Attribution, incrementality and causal measurement is where deals are won and lost — and it is the hardest thing to argue credibly without hand-waving. Analyst firms are a silent blocker. When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them. You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it. What you'll own Positioning and messaging. Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it. Competitive intelligence and win/loss. A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning. Sales enablement. The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays. Market and analyst relations. The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization. What we're looking for 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product. Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak. B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile. Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter. Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking. Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback. Nice to have: hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming. Not a fit if: your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work. How we measure success Win rate in competitive deals against our top 3 named competitors, baseline set in month 1. Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal. Time-to-first-deal for new reps. Field adoption of enablement assets — measured, not assumed. Win/loss program running on cadence, with themes that visibly change product and GTM decisions. Message consistency: a quarterly audit across web, deck, product UI and content. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: (Multiple States), Spain About Improvado Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT. What we sell: extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA. Who buys it: Economic buyers: CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership Technical evaluators: VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security Segments: enterprise brands, mid-market, agencies Verticals: pharma and healthcare, financial services, retail and eCommerce, gaming, agencies Why this role, now Our messaging is not aligned. Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price. The category is crowded and moving fast. Battlecards exist but decay, and nobody owns keeping them true. Attribution, incrementality and causal measurement is where deals are won and lost — and it is the hardest thing to argue credibly without hand-waving. Analyst firms are a silent blocker. When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them. You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it. What you'll own Positioning and messaging. Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it. Competitive intelligence and win/loss. A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning. Sales enablement. The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays. Market and analyst relations. The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization. What we're looking for 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product. Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak. B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile. Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter. Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking. Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback. Nice to have: hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming. Not a fit if: your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work. How we measure success Win rate in competitive deals against our top 3 named competitors, baseline set in month 1. Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal. Time-to-first-deal for new reps. Field adoption of enablement assets — measured, not assumed. Win/loss program running on cadence, with themes that visibly change product and GTM decisions. Message consistency: a quarterly audit across web, deck, product UI and content. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: (Multiple States), Portugal About Improvado Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT. What we sell: extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA. Who buys it: Economic buyers: CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership Technical evaluators: VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security Segments: enterprise brands, mid-market, agencies Verticals: pharma and healthcare, financial services, retail and eCommerce, gaming, agencies Why this role, now Our messaging is not aligned. Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price. The category is crowded and moving fast. Battlecards exist but decay, and nobody owns keeping them true. Attribution, incrementality and causal measurement is where deals are won and lost — and it is the hardest thing to argue credibly without hand-waving. Analyst firms are a silent blocker. When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them. You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it. What you'll own Positioning and messaging. Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it. Competitive intelligence and win/loss. A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning. Sales enablement. The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays. Market and analyst relations. The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization. What we're looking for 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product. Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak. B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile. Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter. Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking. Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback. Nice to have: hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming. Not a fit if: your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work. How we measure success Win rate in competitive deals against our top 3 named competitors, baseline set in month 1. Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal. Time-to-first-deal for new reps. Field adoption of enablement assets — measured, not assumed. Win/loss program running on cadence, with themes that visibly change product and GTM decisions. Message consistency: a quarterly audit across web, deck, product UI and content. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement