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Location: San Francisco, California WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Notion sits at a rare intersection: a product people love, a flexible system businesses run on, and a new platform for people and AI to work together. We’re hiring a Product Manager to turn that opportunity into products that feel inevitable. You’ll find consequential customer problems, set a bold but grounded strategy, and build alongside design, engineering, data science, research, and go-to-market partners. This is a high-agency role for someone excited to shape what Notion becomes next—and make powerful new capabilities feel simple, trustworthy, and delightful to millions of customers. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Uncover the customer problems and product opportunities that will define Notion’s next chapter, then turn them into a focused strategy and roadmap. - Take ambitious ideas from first principles to launch, building closely with design and engineering to create experiences that feel simple, useful, and distinctly Notion. - Make the hard calls—balancing customer impact, business opportunity, technical complexity, speed, and long-term product quality. - Shape how AI changes both the product and the way we build, using it to improve research, decisions, experimentation, and execution. - Raise the bar for product thinking across the team by creating clarity, accelerating learning, and establishing principles and success measures that endure. SKILLS YOU'LL NEED TO BRING: - Demonstrated ability to identify meaningful customer problems and turn them into products that are intuitive, useful, and built with a high level of craft. - Strong product judgment and the ability to make sound tradeoffs among user experience, business impact, technical complexity, quality, and speed. - A track record of moving ambiguous, cross-functional work from problem definition to shipped outcomes while creating clear ownership and alignment. - Customer depth: you can learn directly from users across segments and translate differing needs into a coherent strategy rather than a collection of one-off requests. - Practical AI fluency: you use AI to sharpen research, product thinking, decisions, and execution, and you’re excited to rethink how people and agents work together. NICE TO HAVES: - Experience building collaborative, productivity, or AI-powered products used by a broad range of customers. - Experience operating across both zero-to-one product development and the improvement of products at scale. - Technical fluency and comfort partnering deeply with engineering on complex product systems. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $238,000 - $250,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy and NYLL 144. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

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Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As part of 1Password’s Finance Analytics team, you’ll help build trusted financial data foundations and turn complex business data into clear insights for Finance, Sales, Marketing, and Revenue Operations (RevOps). You’ll work across annual recurring revenue (ARR), retention, billing, and subscription metrics while helping create Artificial Intelligence (AI)-enabled reporting workflows that make decision-making faster and more reliable. Your work will support 1Password’s mission to enable a safe, productive digital future without compromising security. Reporting into the Senior Manager, Financial Data Analytics, this role is remote within the United States and Canada. How we’re using AI today On the Finance team, we’re using AI to drive productivity, scale insight, and deliver better decision-making across 1Password. AI helps us move faster and sharpen our thinking, from summarizing context and pressure-testing assumptions to turning complex inputs into clear executive-level narratives. We bring AI into our work thoughtfully, improving repeatable workflows while staying accountable for the accuracy, confidentiality, and controls behind every output, creating space to focus on judgement, strategic partnership, and meaningful business outcomes. This is a remote opportunity within Canada and the US. What we're looking for: • Experience in analytics or a related data role, with proficiency in SQL, including joins, common table expressions (CTEs), window functions, and analysis of large datasets. • Understanding of data modeling practices, including fact and dimension tables, star schemas, and related approaches to organizing reliable data. • Ability to translate stakeholder questions into clear analytical deliverables, gather requirements, and improve dashboards based on feedback. • Strong diagnostic and problem-solving skills, sound judgment, and careful attention to detail. • Experience working with Finance, Sales, or Go To Market (GTM) data is a plus, especially in a Software as a Service (SaaS) environment, with familiarity with metrics such as annual recurring revenue (ARR), retention, subscriptions, or customer cohorts. • Experience with BI or AI tools such as Hex, Claude Code, Cursor, or similar platforms is a plus; exposure to dbt and enterprise data sources such as Salesforce, Stripe, or NetSuite is also valuable. What you can expect: • Build and iterate on interactive dashboards in Hex that help stakeholders explore financial and business performance. • Translate business questions into self-serve reporting and actionable analysis across ARR, paying customer accounts, retention, subscriptions, and related metrics. • Contribute to trusted data models that support new pricing approaches, product lines, and evolving business models. • Support month-end, quarter-end, and financial reporting cycles by investigating variances, identifying drivers, and explaining why results changed. • Automate recurring manual and spreadsheet-based tasks using AI skills and workflows, helping teams spend more time on analysis and decision-making. • Partner with Analytics Engineering to productionize reporting sources, improve data quality, and maintain clear metric definitions. • Present your work to stakeholders, incorporate feedback, and collaborate with Finance, Sales, Marketing, RevOps, and Data and Analytics teams. USA-based roles only: The annual base salary for this role is between $95,000 USD and $133,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $83,000 CAD and $116,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: United States Workplace: Remote WHO WE ARE Help Scout started in 2011 with a simple premise: support software should treat customers like people, not tickets. 3+ billion conversations later, more than 10,000 companies use Help Scout to grow relationships with customers of all types, from clients to patients and beyond. Now we’re in a new chapter: not only building AI that gives teams more space to focus on the customer experience, but also reimagining how we operate in an AI-native world. That means shipping and learning faster, without compromising on craft. Great work here carries a strong opinion and sweats the details, regardless of the tools we use to drive it. We’ve been a fully remote team https://articles.helpscout.com/blog/remote-culture/ since day one, with 120+ teammates now all over the world. It’s a culture where you’ll be trusted to take ownership, stay curious, and raise the quality of work around you. It comes with clear expectations and a team that will push you to do some of the best work of your career. If that kind of challenge gives you energy, we’d love to meet you. THE OPPORTUNITY As a Senior Customer Success Manager at Help Scout, you’ll own a named book of 80–100 accounts, representing around $4M in recurring revenue. You’ll be the trusted partner for the people who rely on Help Scout every day, from day-to-day users to the executives who sponsor the relationship. Your first priority is building a strong relationship rhythm across your book: regular check-ins, executive business reviews, and a clear understanding of what each customer is trying to achieve. You’ll connect those goals to the best of what Help Scout offers, and you’ll be the first to notice when something starts to slip. You won’t carry an expansion quota. When you spot an opportunity to grow an account, you’ll partner with our expansion team and hand it off warm, so you can stay focused on retention and long-term value. You’ll also be the customer’s voice inside Help Scout, bringing what you learn to Product, onboarding, and the rest of the team. - Own a book of 80–100 accounts end-to-end. From onboarding handoff through adoption and renewal, you’re accountable for the health and retention of every account. - Build multi-threaded relationships. You’ll work across levels in each customer, including executives and decision makers, and align on the business outcomes that matter to them. - Catch risk early. You’ll watch for signals like dropping usage or slowing communication, escalate early, and bring in the right internal partners to turn things around. - Lead executive business reviews and regular check-ins that drive adoption, surface underused features, and strengthen product alignment. - Own renewals and retention. Your success is measured on net dollar retention for your book. - Surface expansion opportunities and partner with our expansion team to close them. - Bring the voice of the customer inside. Share what you learn with Product and cross-functional teams to help shape the roadmap, onboarding, and how we work. - Design your own workflows. You’ll have freedom to use AI tools to stay organized and make sure nothing falls through the cracks across a large book. - Raise the bar for the team. You’ll share what works, document your learnings, and help shape how Customer Success grows at Help Scout. ABOUT YOU - You have 5+ years of Customer Success experience in SaaS, with time spent in SMB, mid-market, strategic, or enterprise segments. - You’ve owned a large book of business. At some point in your career, you’ve managed 50+ accounts and kept a consistent cadence with all of them. - Retention is your track record. You can talk about your renewal rates, retention, or NDR, and what you did to move them. - You love the relationship side of the work. You enjoy being a strategic advisor, aligning with executives on business goals, and working with internal teams to get customers where they need to go. Closing deals isn’t what gets you up in the morning. - You never solve problems alone. When an account shows signs of risk, you raise it early, pull in the right people, and keep the customer informed. - You’re not afraid of difficult conversations. You can handle tough renewal or recovery conversations with confidence and care. - You’re a strong cross-functional partner. You know how to work alongside Product, Support, and Sales, and you’ve handed off expansion opportunities to account executives or account managers before. - You thrive while things are still being built. You’re comfortable shaping processes as we go and don’t need a playbook for everything. - You’re excited about how AI can transform your work. You look for ways to reduce manual overhead and spend your time where it matters most. - Technical aptitude. You’re comfortable learning and navigating complex software, and you want to become an expert in our product. ABOUT THE PROCESS 1. Recruiter Chat - You'll meet with Nahuel on the Recruiting team to chat through compensation, benefits, timeline, and company culture. 2. Value Add - You'll meet with Annika, Customer Enablement Lead, to talk more about the role and your experience in more detail. 3. Project - We’ll give you a take-home project (we’ll pay for your time), then you’ll share it back to the team. 4. Team Chat - You’ll meet with two members of our Customer Success team to learn more about how we work and the customers we serve. 5. Final Chat - You’ll chat with our VP of Customers. 6. References - We’ll ask you for three references. Ideally, we’d like two of them to be managers, but we can be flexible. COMPENSATION Each role at Help Scout has a pay range aligned to our salary formula https://articles.helpscout.com/blog/employee-compensation/ and based on national market data. We take a competency-based approach and pay is based on the level and band of your role. We assess leveling during the hiring process for new teammates, during our bi-annual performance review cycles, and when a teammate’s role changes. OTE: $139K–$160K COMPANY VALUES HAPPY TO HELP Help is in our first name! We show up for each other — not out of obligation, but because we’re invested in the team’s collective success. We share knowledge freely, lead with generosity, and practice empathy with our teammates, customers, and community. CRAFT OVER CONVENTION Our success relies on the quality and craft https://paulstamatiou.com/craft of the work we put into the world. The status quo simply won’t work. So we insist on narrow focus, sweating every detail, and relentless pursuit of customer delight. PROGRESS NOT PERFECTION Achieving our true potential — collectively and individually — requires constant progress and forward momentum. By creating a culture of curiosity and openness, we aim to create a safe space for mistakes, the ability to identify them quickly, and use them to get better. OWN THE OUTCOME Own the outcome means taking full responsibility for the results of your work, decisions, and contributions. It reflects a mindset of accountability, proactiveness, and follow-through. If you “own the outcome,” you don’t just complete tasks, you ensure your work leads to meaningful results, and take initiative to solve problems rather than passing them along. Read more about how we define, share, and live these values here https://articles.helpscout.com/blog/aligning-culture-with-values/. BENEFITS AND PERKS - Competitive salary and an internal, transparent salary formula based on market data - Flexible time off – you choose the holidays and vacations that make sense for you - 12 weeks of fully paid parental leave for all new parents, including adoption and foster care - A home office stipend to help you get set up and productive - A co-working stipend up to $300 a month if you choose to work out of your house - A yearly professional development stipend of $1,800 to help you grow in your craft - If you’re in the U.S. or Canada, we offer top tier health insurance for you and your dependents. HIRING GUIDELINES: All roles at Help Scout are fully remote. Some positions have specific location requirements. For roles outside the U.S. and Canada, we work with teammates as independent contractors under country-specific agreements. We do not sponsor visas. Teammates must already be authorized to work from their home country. We are an equal opportunity employer and are committed to building a company that embraces and celebrates diversity and inclusion https://www.helpscout.com/dei/. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. We have read the studies and understand that diverse teams build better products, bring more perspective to the table, contribute to a company’s financial success, and help foster a more inclusive environment for all employees, but the bottom line is that it's the right thing to do. To provide you with the best experience, we can support you with accommodations or adjustments at any stage of the recruitment process. Simply inform our recruitment team during your conversation with them. A NOTE ON THE USE OF AI IN OUR INTERVIEW PROCESS While we understand that AI is an important tool in a modern skillset, we ask that you do not utilize AI assistants live on our interviews. Of course, use any tools you need to prepare! But we'd like for you to have a real human-to-human conversation with our team. On our end, we utilize a platform called Brighthire as a notetaker and review tool to ensure a fair and transparent hiring process. Beware of scammers! All legitimate communication from Help Scout regarding your application will come directly from an @helpscout.com http://helpscout.com email address and through our applicant tracking system, Ashby. We will never ask for personal financial information or conduct interviews outside of these official channels.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma's Governance, Risk, and Compliance team is the foundation of how we build and maintain trust - with our users, regulators, business partners, and the organizations that rely on Figma every day. We work across the organization and drive programs that ensure the effectiveness of our security protections, identify and manage risk, maintain compliance, and build trust with our customers. We're looking for a Governance, Risk and Compliance Director to lead this team through its next phase of growth. You'll own Figma's security compliance, risk management, and governance strategy end to end - setting direction for our certification portfolio, building the risk and controls frameworks that scale with our growing business and product suite, and representing GRC to executives, the board, customers, and regulators. This is a hands-on leadership role where you'll manage and grow a team of GRC professionals while staying close to the programs, infrastructure, audits, and cross-functional relationships needed to both protect and enable the business. If you're a strategist and team builder who is excited to scale Figma's GRC program in a rapidly evolving environment, we'd love to hear from you! This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Set the strategy and roadmap for Figma's GRC program, aligning compliance, risk, and governance priorities with company objectives and the Security leadership team Own Figma's certification and compliance portfolio, including SOC 2, ISO 27001, FedRAMP, SOX ITGC, and GDPR, and expand coverage as Figma enters new markets and customer segments Lead and grow a team of compliance, risk, and governance professionals, setting priorities, developing talent, and building a culture of rigor and pragmatism Build and evolve enterprise risk and controls frameworks — including AI Governance, Risk and Compliance initiatives and control effectiveness monitoring — that scale across technical and business stakeholders Manage relationships with external auditors, assessors, and regulators, and oversee audit cycles from planning through remediation Direct the selection and optimization of GRC platforms and tooling, and maintain the lifecycle of security policies, standards, and procedures Partner with Sales, Legal, and Customer Trust on security questionnaires, customer audits, contracts, and trust-related communications that support the sales lifecycle Scale enterprise risk reporting and report on program health, risk posture, and audit readiness to executive and board-level audiences We'd love to hear from you if you have: 10+ years of experience in information security, compliance, or risk management, including at least 4 years leading or managing a GRC, security, or compliance team Deep, hands-on experience with frameworks such as SOC 2 and ISO 27001, including leading programs through multiple audit cycles A track record of building GRC programs from the ground up or scaling them through high-growth stages, ideally at a SaaS or platform company, including experience operating in a public company environment with SOX ITGC requirements Executive presence and exceptional written and verbal communication skills, with demonstrated ability to build cross-functional partnerships across Security, Legal, IT, Sales, and Engineering and translate technical risk into business terms for executives, the board, and customers Experience implementing compliance programs for emerging products, including AI-enabled products, with a strong understanding of cloud-based technologies and their GRC implications, and a builder's mindset comfortable with ambiguity as the program scales While it's not required, it's an added plus if you also have: Supported FedRAMP authorization, SSP development, 3PAO coordination, or continuous monitoring activities Experience with global privacy and data protection regulations, such as GDPR or NIS2 Security or risk certifications such as CISSP, CISA, CISM, or CRISC Hands-on experience implementing or administering GRC platforms such as Vanta, Drata, or similar tools Experience presenting to boards, steering committees, and audit committees At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $235,000 — $317,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Remote; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. ABOUT THE ROLE Preferable to have someone near an office in NYC or San Francisco, but open to hiring around the world for the right candidate. Runway Creative is an all-in-one platform giving creators and businesses endless ways to generate and edit video, images, and audio. Our customers range from individual creators on self-serve plans to studios and enterprise marketing teams, and they generate with both Runway's own models and leading third-party models, all on one platform. We're hiring a Pricing & Packaging Lead to own how Runway creates and captures value across all of it. You'll partner closely with our Self-Serve Product Lead to evolve our plans and credits, build the path from self-serve to enterprise, and set the pricing for every model we launch and every third-party model we serve. You'll build the pricing framework the rest of the company uses, and you'll be accountable for revenue growth, gross margin, and customer trust in equal measure. WHAT YOU’LL DO - Own self-serve pricing & packaging: partner with the Self-Serve Product Lead on our plan ladder and credit design, including allowances, rollover, top-ups, annual vs. monthly, and regional pricing. Run a continuous program of pricing and packaging experiments with Growth and Data. - Build the path to enterprise: design the triggers, team and workspace constructs, seat and credit-pool models, and commit and consumption contracts that move customers from self-serve to enterprise. Equip Sales with pricing playbooks, discount bands, and deal guardrails. - Create a company-wide pricing framework: publish Runway's pricing principles, value metrics, and decision process so any product team can price new features and products with confidence. Run a regular pricing council with Product, Finance, Research, and GTM. - Price our models: set launch pricing for every Runway model release, working with Research and Infrastructure on cost-to-serve. Define how model pricing evolves from launch through deprecation as inference costs change. - Own third-party model economics: set credit pricing and target margins for the partner models we serve, monitor competitive pricing, and work with Partnerships on vendor terms. Make per-model margin visible to the whole company. - Keep pricing changes trustworthy: own how we communicate every pricing change, from advance notice and in-product usage visibility to spend controls and customer FAQs. Changes should land as clearly as they were designed. - Build the team: hire and lead a small pricing team over time, and partner closely with billing engineering to turn decisions into systems. WHAT YOU’LL NEED - 10+ years across pricing, monetization, strategy, or strategic finance, with 5+ years directly owning pricing and packaging decisions. A track record of moving revenue, conversion, and margin, not just producing recommendations. - Deep experience with usage, credit, or consumption-based pricing. You can build a cost-to-serve and margin model from compute and inference inputs, and you understand how hybrid seat + usage models behave in the wild. - Experience across self-serve and sales-led motions. You've shipped pricing changes for PLG subscription products and designed the contracts and guardrails that support enterprise expansion. - Rigorous and experimental. You're fluent in pricing experiments, willingness-to-pay research, and cohort analysis, and comfortable in SQL and financial models. - You thrive in an environment with rapid pace and a high accountability culture. You make decisions with incomplete information and know when a pricing call needs more data and when it needs to ship. - Excellent written and verbal communication. You can drive a decision across Product, Finance, Research, and Sales, and explain a pricing change to customers in a way that builds trust. - Bonus: pricing experience at an AI lab, AI-native product, API or developer platform, or creative tools company; experience pricing third-party or marketplace offerings. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

What you'll be doing Own a portfolio of 30–40 clients as their main point of contact, accountable for retention, health and growth. Onboard new clients after the handoff from Sales: integration, the first funnel and paywall, campaigns going live.

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Location: Singapore; Hong Kong 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. Before you apply, we encourage you to explore our culture page https://www.kraken.com/culture to understand what drives us and how we work. 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. Join our Regulatory Legal team, the group responsible for maintaining and growing Kraken's product offerings across every region we operate in and for advising the business on its day-to-day regulatory obligations. We are a tight, experienced group of lawyers from tradfi (traditional finance), fintech and crypto backgrounds who move fast, stay curious and take pride in the commercial accountability of our advice. We partner directly with Compliance, Product and senior leadership to keep our licensed entities running smoothly and our regulators well served. This is a remote role based in Hong Kong or Singapore, supporting our growing volume of regulatory work across the broader APAC region. You will operate as a practical legal generalist with a focus on Product legal advice: supporting launches and product changes across APAC, including derivatives and over-the-counter ("OTC") options, tokenised equities, earn and staking products, custody, and card and payments offerings.     THE OPPORTUNITY - Provide product legal support for APAC launches and enablement across the entire Payward product suite, including xStocks, OTC options, institutional custody and execution, and cross-regional products rolling out across APAC - Act as a gatekeeper for new APAC outside counsel engagements: scope the work, estimate the cost, and sign off before matters are routed externally, so that outside counsel is used where local-law advice is genuinely required - Translate complex regulatory frameworks into pragmatic, actionable guidance for the business, favouring plain-English communication, measurable risk trade-offs and decision-ready recommendations - Use AI-assisted tools (for example for multi-jurisdiction licensing analysis, first drafts of regulatory submissions and matter tracking) to raise the speed and consistency of the team's work - Own the APAC regulatory workload under the direction of the APAC regulatory lead, including licence variations, client and broker agreement documentation, licensing structure questions and routine regulator correspondence - Take ownership of geography-specific licensing in markets such as Kazakhstan, Pakistan and the Philippines, instructing and supervising local counsel in region and in time zone, and supporting other APAC markets (for example South Korea, Japan, Taiwan, Vietnam, Indonesia and Malaysia) as they arise - Support Payward Group licensing initiatives in key APAC markets such as Singapore and Hong Kong, including preparing application materials and coordinating with outside counsel     WHAT YOU BRING - Qualified lawyer admitted in Singapore, Hong Kong, England and Wales, or an equivalent common law jurisdiction - 10 or more years' post-qualification experience ("PQE") in financial services regulatory law, gained at a regulated financial services institution (for example a bank, broker-dealer, exchange, derivatives dealer or crypto services provider), at a law firm supporting such clients and/or at a relevant regulator - Demonstrated ability to independently own regulatory relationships and business-as-usual regulatory workstreams, including notifications, information requests and supervisory correspondence - Strong experience with the financial regulatory landscape in a major Asian financial centre (eg, Singapore and the MAS, Hong Kong and the SFC/HKMA) - Proven ability to instruct, supervise and manage the cost of local counsel across multiple jurisdictions, including in markets where you are not admitted - Working knowledge of anti-money laundering and counter-terrorist financing ("AML/CTF") obligations and regulatory expectations - Outstanding analytical, drafting and organisational skills, with crisp, plain-English writing - Ability to distill complex legal and regulatory issues into clear, actionable guidance for non-lawyer stakeholders - A pragmatic, commercially accountable approach to legal and regulatory risk that gives stakeholders a useful range of options and a clear recommendation - Comfort operating with a high degree of autonomy in a fast-moving, remote, multi-time-zone environment, owning a broad workload from day one     NICE TO HAVES - Experience advising on virtual asset regulation in one or more APAC jurisdictions - Familiarity with the regulation of derivatives (including OTC options), equities and emerging tokenised financial instruments - Experience supporting change-of-control notifications or other regulatory aspects of corporate transactions - Experience with payments, e-money or card regulation - Working proficiency in a second APAC language - An authentic interest in crypto and digital assets, and familiarity with Payward's and competitors' products       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 Twitter 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: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM: You'll join our GTM Systems team, which owns the systems LangChain's go-to-market actually runs on — Salesforce above all: the account and contact model, territory and routing, the sales process from first touch to closed-won, and the quote-to-cash and provisioning stack behind it. We design and ship internal product for the GTM organization. AI agents do a growing share of the building: they draft design docs, open changes, and run Salesforce deployments, while humans hold the approval gates. Build capacity — engineers plus the agent bench — sits on this team, and you'll help decide what it works on next. ABOUT THE ROLE: You'll own the requirements, prioritization, and quality bar for LangChain's Salesforce-centered GTM systems, turning ambiguous revenue-team needs into shipped process and systems changes that scale. This is not a ticket queue role. You'll be accountable for a small number of high-leverage GTM systems programs at a time: defining the problem, aligning stakeholders, specifying the solution, and ensuring what ships changes how the revenue org operates. You'll work across Sales, Marketing, Partnerships, Support, and Finance in a fast-changing environment where priorities move quickly and influence matters more than reporting lines. The core challenge is operating with authority but not control: aligning teams around tradeoffs as the business changes underneath the plan. You won't be expected to write production code. You will be expected to write clear enough specifications that engineers and AI coding agents can build from them, and to review the output with enough Salesforce and systems judgment to decide whether it is correct. Location: San Francisco Bay Area — in office 4 days a week. The people whose processes you're redesigning are in this building, and so are the engineers who build LangGraph. WHAT YOU'LL OWN: Carry multi-quarter programs - Own the Salesforce sales process from lead to close — routing, qualification, territory assignment, and stage progression — driving each initiative from discovery through UAT, change management, and adoption. - Be the person stakeholders come to before they file a request, especially when the system was never designed for what the business now needs. - Own the intake and prioritization model for hundreds of quarterly GTM systems requests, ensuring the team works on the highest-leverage business problems rather than the loudest tickets. Own what gets specified and what ships - Run discovery and turn ambiguous asks into BRDs, process flows, data models, and acceptance criteria — with a clear problem statement and ROI justification, precise enough to execute without a second conversation. - Hold the quality gate: you write the specification, engineers and coding agents write the code, and nothing reaches production without your sign-off. - Run vendor evaluations when the right answer is buy, integrate, or replace rather than build. Protect revenue data integrity - Trace anomalies in revenue fields — Net ARR, initial pipeline, lead source — back to the automation, trigger, or integration that wrote them. - Own the reconciliation seam between Salesforce, usage-based billing, and cloud-marketplace transactions. - Identify which design decisions are load-bearing and which are cosmetic, and catch the downstream failure modes before they reach production. WHAT SUCCESS LOOKS LIKE: In your first 6–12 months, you might: - Redesign the lead-to-opportunity process so routing, qualification, and stage progression are measurable, enforceable, and adopted by the field. - Create a prioritization model for hundreds of GTM systems requests per quarter, with clear tradeoffs and business rationale. - Ship a Salesforce change that improves pipeline hygiene, quote-to-cash accuracy, provisioning reliability, or cloud marketplace reconciliation. - Establish a specification and UAT standard that engineers and AI agents can reliably build against. - Build enough trust with Sales, Marketing, Partnerships, Support, and Finance that stakeholders bring you the problem before they prescribe the solution. WHAT YOU'LL NEED TO BE SUCCESSFUL: SYSTEMS AND DOMAIN DEPTH - Domain and tenure — 6–8 years in business systems, sales systems, revenue systems, or GTM systems, with Salesforce as your primary platform throughout. - Sales process depth — you've partnered with Sales Ops on the things reps feel every day: territory and account coverage, lead qualification and routing, stage gates, and pipeline and forecast hygiene. - Sales systems / RevOps depth — experience across quote-to-cash, CPQ, territory and lead routing, forecasting, or adjacent revenue processes. - Technical fluency — you can read a data model, a Flow, and enough Apex to design against what's really there, even though you are not expected to write production code. PROGRAM LEADERSHIP - Program ownership — you've been the single accountable owner, at the working level negotiating the commitments yourself, of a program that spanned four or more functions and changed how a revenue org works day to day. - Release risk — you've delivered a program into a core system on a release process you didn't control, where another team's change could break your release. - Re-scoping under change — you've re-scoped a program mid-flight because the business changed under it, a sponsor moved, or the original scope no longer matched reality. - Holding the line — you've turned down a request with executive backing and kept the relationship; you hold the line when something breaks pricing discipline, a legal constraint, or the architecture, and you arrive with the alternative. JUDGMENT AND COMMUNICATION - One tradeoff, two audiences — you write for the reader in front of you, not the one you find easiest: the VP gets the page, the engineer gets the spec. - Maximum agency — you find the friction and start the project. You don't wait for a ticket. - AI judgment — you give an agent the same brief you'd give a new engineer, and you check its work the same way. - Architecture judgment — you know which design calls are load-bearing and which are cosmetic: why a usage event belongs on its own object rather than a field on Account, and how you'd catch that renaming one picklist breaks the provisioning saga before anyone deploys it. STRONG SIGNALS: None of these is a screen; any one makes you useful faster. - You've owned a core Salesforce object domain — Account, Contact, Lead, or Opportunity — through a full redesign. - You've traced a Salesforce field into a usage record into a provisioning step, and seen what broke downstream when it moved. - You've worked with cloud marketplace operations — AWS or GCP private offers, co-sell, entitlement mapping, metering, and the failure modes when they break. - You've worked with usage-based billing systems such as Metronome, Orb, or similar, and CRM↔billing identity reconciliation. - You have LangChain or LangGraph experience, or you're excited to learn it here from the people who build it. Annual salary range: $180-200k USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is looking for an experienced Lifecycle Marketing Manager, Campaign Strategy & Execution to develop and execute campaigns that help users discover value, adopt key workflows, and deepen their use of Notion. You'll own campaigns end to end: translating business and customer opportunities into clear strategies, defining audiences and journeys, coordinating creative and technical production, launching across email and in-product channels, and measuring incremental impact. This role combines strategic judgment with hands-on execution. You'll partner closely with Lifecycle Marketing, Product Marketing, Product Growth, Data Science, Marketing Operations, and creative partners. You should be equally comfortable shaping a campaign brief, building a journey in Customer.io http://Customer.io, resolving execution details, and interpreting results. Scope guardrails: this role owns campaign strategy, hands-on execution, cross-functional delivery, and performance analysis. It is not the primary Customer.io http://Customer.io architect or incident-response owner, a general intake coordinator, or a production-only role receiving prewritten briefs. The person should operate as an independent campaign owner who can take work from an ambiguous opportunity to a high-quality, measured launch. This role may be based in either our San Francisco or New York City offices. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Own the campaign portfolio. Independently lead a portfolio of launch, one-off, and evergreen lifecycle campaigns with clear prioritization and predictable delivery. - Turn opportunities into strategies. Translate product launches, lifecycle moments, and business priorities into clear objectives, audiences, journeys, channel plans, and success metrics. - Build high-impact lifecycle programs. Develop campaigns across onboarding, activation, adoption, collaboration, monetization, retention, and resurrection. - Execute from brief to measurement. Own audience creation, build, QA, localization, launch readiness, and post-campaign analysis across email and in-product messaging. - Improve foundational journeys. Audit existing programs and recommend which should be maintained, improved, rebuilt, or retired; lead the rebuild of priority onboarding or adoption journeys. - Raise the experimentation bar. Develop testable hypotheses and use segmentation, personalization, holdouts, and A/B tests to understand incremental impact. - Measure customer and business outcomes. Connect campaigns to activation, product adoption, collaboration, conversion, retention, or qualified sales outcomes—not only opens and clicks. - Lead cross-functional delivery. Coordinate dependencies across Product, Engineering, Data Science, Product Marketing, Marketing Operations, Demand Generation, Sales, and external partners. - Create repeatable systems. Turn recurring campaign work into templates, playbooks, and reusable operating patterns that improve quality and velocity. - Enable safe self-service. Help cross-functional partners execute effectively while maintaining Lifecycle's strategic, customer-experience, and quality standards. SKILLS YOU'LL NEED TO BRING: - Significant experience owning lifecycle, CRM, growth, or product-marketing campaigns from strategy through execution. - A track record of independently leading complex, cross-functional campaigns at meaningful scale. - Strong customer-journey thinking across activation, adoption, engagement, conversion, and retention. - Hands-on experience with a lifecycle platform such as Customer.io http://Customer.io, Braze, Iterable, or Salesforce Marketing Cloud. - Strong audience segmentation, personalization, experimentation, and campaign-measurement skills. - Ability to use data to prioritize opportunities, evaluate results, and change strategy; working knowledge of SQL or self-serve analytics is a plus. - Excellent project leadership: clear briefs, dependable execution, proactive risk management, and crisp stakeholder communication. - Strong editorial and customer judgment—you care about sending useful, relevant messages rather than maximizing message volume. - Comfort operating in a product-led, highly cross-functional environment with incomplete information. - Experience with B2B or product-led growth, product telemetry, in-product messaging, or AI-assisted campaign workflows is a plus. - 8+ total years relevant + transferrable experience. WHAT SUCCESS LOOKS LIKE IN THE FIRST SIX MONTHS: - Establish a clear operating rhythm for launch, one-off, and evergreen campaigns. - Independently own a meaningful portfolio from strategy through performance analysis. - Launch a materially improved onboarding, activation, or adoption journey with a defined experiment and measurement plan. - Establish consistent briefs, segmentation standards, QA, launch-readiness checks, and post-campaign readouts. - Demonstrate credible incremental movement in a product or business outcome. - Create meaningful capacity for senior Lifecycle teammates to focus on systems architecture, journey strategy, personalization, and modernization. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $190,000 – $220,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Order Management sits at the center of how Figma turns contracts into revenue — every deal our Sales team closes passes through this team before it's invoiced. As part of the Revenue Operations team within Accounting, we own order form review, invoicing, and billing support for Sales and Support for a global customer base. As Figma grows, we're building the order-to-cash process for what comes next, and this role is a builder's seat: you'll take on our most complex orders while helping shape how orders get processed, reviewed, and automated as we scale. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Own the order process end to end — from contract review and order entry through to invoicing — processing orders accurately and within SLA, including our most complex work with validation for completeness, accuracy and policy compliance Serve as a go-to resource for Sales and Support on billing and invoicing questions, and partner with cross functional partners to investigate discrepancies and booking blockers across systems — following up to conclusion Detail-review routine orders processed by other analysts and our BPO partners, identifying error patterns and driving them to resolution Play a key role in UAT for new products, SKUs, pricing models, and billing system releases — writing and executing test scripts, running end-to-end tests from order through billing, documenting bugs clearly, and working with cross functional partners to resolve Support month-end and quarter-end close, including reconciliations, accruals, and data integrity across systems, while maintaining SOX controls, audit documentation, and the SOPs and test cases your areas run on Take ownership of ad-hoc projects related to process improvement, system upgrades, or controls enhancements across the order-to-cash lifecycle We'd love to hear from you if you have: 3+ years of experience in order management, order-to-cash, billing operations, or revenue operations at a SaaS company Hands-on experience with Salesforce (RLM or CPQ), an ERP such as NetSuite, and a payment processor such as Stripe Clear understanding of how order entry decisions flow downstream into billing and revenue Advanced Excel and Google Sheets skills — pivots, XLOOKUP, reconciling large datasets across systems — and comfort with data query tools Exceptional attention to detail and a track record of producing quality work under quarter-end pressure, with excellent written and verbal communication across finance and non-finance audiences At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. For non-exempt employees, PTO is accrued at a rate equivalent to 15 days per year for full‑time employees. Accrued PTO may be used for vacation or personal time, subject to company policy and manager approval. In addition, the company provides 10 paid sick days annually for non-exempt full-time employees. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Hourly Base Pay Range: $50.50 — $73.60 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

What You'll Do Design the experience, not just the screens. Build intuitive user flows, information architecture, and interaction logic for complex, multi-step workflows.

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Location: San Francisco, CA; Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker is looking for a Senior Software Engineer to build AI-powered developer tools and the platform behind them on our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building tools that make Docker's engineers more productive and the platform that lets teams across Docker prototype, deploy, and scale their own AI developer tools. As a Senior Engineer you will design, build, and operate: AI-Powered Developer Tools. AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents. Self-Service AI Developer Tools Platform. Platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools, using the patterns and standards the team sets. You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal and Staff engineers, product engineering teams, and platform teams across Docker. WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You are a strong, hands-on engineer who enjoys building at the intersection of AI, developer experience, and platform engineering. You have built software on top of LLMs and AI agents and have a good sense of what works in practice. You care about the people using your tools, and you can tell a tool developers love from one they put up with. You take a feature from a vague request to production: you ask the right questions about requirements, design it sensibly, ship it iteratively, and operate it afterward. You are comfortable in a fast-moving AI landscape and balance quality with pragmatism. You make the engineers around you better through thoughtful code review and by sharing what you learn. RESPONSIBILITIES Building and Operating AI Developer Tools - Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation - Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable tools, following the team's patterns and standards - Build systems that help Docker's engineers adopt AI-native development tools - Build integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems - Instrument your tools so the team can measure adoption, effectiveness, and developer satisfaction Self-Service Platform - Build and improve platform capabilities, including deployment pipelines (ArgoCD/GitOps), observability integration (Grafana), security controls, and cost management, that help teams ship their own AI tools faster - Help reduce time-to-production for new products from weeks to days - Contribute to reliability, security, and performance standards for AI systems, including SLOs, monitoring, and incident response Design and Delivery - Take features and services from requirements to production. Ask about scale, users, and constraints before designing, and write down your assumptions - Write clear design documents for the work you own, and participate in design reviews for the team - Review code thoroughly and share what you learn with the rest of the team - Take part in the team's on-call rotation, and help improve alerts, runbooks, and tooling so the next incident is easier - Follow the AI-assisted engineering practices the team sets: use AI tools critically, validate their output, and stay accountable for what you ship Collaboration and Growth - Work with the Senior Manager and the team's Principal and Staff engineers to understand priorities and shape your work - Partner with Infrastructure, Security, and Data teams on integrations and shared standards - Help newer engineers get up to speed on the team's tools, patterns, and practices - Keep up with emerging AI/LLM technologies and agent frameworks, and bring useful findings back to the team QUALIFICATIONS REQUIRED - 6+ years of software engineering experience building and operating production systems - Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools - Working knowledge of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows - Experience building and operating scalable backend services, distributed systems, or developer-facing platforms - Experience with cloud-native infrastructure, including Kubernetes, CI/CD pipelines, and observability systems - Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals - Experience building developer tools, platform systems, or internal tools that other engineers rely on - Good product judgment: you weigh developer experience and technical trade-offs, and you ask clarifying questions before committing to a design - Clear written and spoken communication suited to a remote, async-first company - Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments - Comfortable working autonomously in a distributed, remote-first team - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in developer productivity, DevOps, SRE, or platform engineering - Contributions to open source AI tools, developer tooling, or platform engineering projects - Experience with GitOps deployment patterns (ArgoCD) or Grafana-based observability - Familiarity with security and operational practices for production AI systems - Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure) WHAT TO EXPECT FIRST 30 DAYS - Learn Docker's current AI and developer tooling landscape, the team's services, and the architecture decisions made so far - Meet your teammates, including the Principal and Staff engineers, the Senior Manager, and key stakeholders in product engineering - Ship a useful production change in your first weeks, using the team's AI-assisted engineering workflow - Review existing AI tool prototypes and internal experiments to learn what is working and what is not - Shadow on-call and learn the operational profile of the team's services FIRST 90 DAYS - Own a feature or service from design to production with measurable impact, such as part of an AI code review agent, a deployment diagnostic agent, or an on-call assistant - Write the design document for work you own and take part in team design reviews - Contribute to the self-service platform's deployment pipeline, observability integration, or security controls - Take part in the on-call rotation FIRST YEAR OUTLOOK - Be a go-to engineer for one or more of the team's AI tools or platform components - Have shipped multiple production improvements that Docker engineers use every day, with adoption and effectiveness you can point to - Have helped teams outside AI Developer Tools build and run their own tools on the platform - Have taken on larger and more ambiguous work as your scope grows, and helped newer engineers do the same Docker considers visa sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $160,900 – $260,700 + equity ______________________________________________________________________ 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

A relentless instinct for sourcing, and the storytelling to close the best people in the market.

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

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

Responsibilities Research and discovery. Get to know both sides of the XPN marketplace: the game publishers running creator campaigns and the creators bringing those campaigns to life.

90 000 – 125 000 $

Location: United Kingdom; Brazil; Ireland; Peru; Costa Rica; Latvia; Argentina; Romania; Cyprus; Portugal; Slovenia; South Africa; Czech Republic; Panama; Estonia; Canada; Hungary; Mexico; 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. Before you apply, we encourage you to explore our culture page https://www.kraken.com/culture to understand what drives us and how we work. 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. The AI Infrastructure team builds and operates the production systems that power intelligent agents at scale. This team sits at the foundation of the agent platform, ensuring that model inference, orchestration, and execution layers are reliable, observable, and performant under real-world load. Working closely with the Agent Systems team and broader infrastructure partners, this group owns the core primitives that enable agents to safely operate across internal systems. The environment is high-scale and high-stakes — systems serve millions of users and must meet strict reliability, latency, and correctness standards. This is a deeply production-oriented team. Engineers here combine strong systems thinking with applied ML infrastructure experience, building in Rust and operating services where performance and failure modes matter.   THE OPPORTUNITY - Design and build the infrastructure layer powering AI agent systems in production - Develop high-performance Rust services that handle model inference, orchestration, and execution - Architect scalable systems capable of supporting millions of users and high request throughput - Build reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring - Define guardrails, observability, and failure handling for agent-driven workflows - Optimize latency, throughput, and cost across inference and orchestration layers - Partner closely with the Agent Systems team to translate experimental prototypes into hardened production systems - Contribute to foundational infrastructure decisions in a high-scale, high-impact environment   WHAT YOU BRING - 5+ years of experience building and operating high-scale production systems - Strong proficiency in Rust and systems-level programming - Deep understanding of distributed systems, reliability engineering, and performance optimization - Experience operating services serving millions of users or high-throughput workloads - Familiarity with ML infrastructure, model serving, or MLOps in production environments - Experience designing observability, monitoring, and failure recovery systems - Strong collaboration skills working across infrastructure and applied engineering teams - High ownership mindset in high-stakes production environment   NICE TO HAVES - Experience building infrastructure for agent-based or LLM-powered systems - Background in high-performance networking, async systems, or low-latency architectures - Experience with container orchestration and cloud-native infrastructure - Familiarity with evaluation frameworks and model performance monitoring at scale - Experience working in fast-moving 0→1 or platform-building teams 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 Twitter 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

What you'll do Lead a Mixed Team Manage and coach a team of team leads, ensuring strong collaboration, clear ownership, and effective execution across the region.

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