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Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As an AI Research Intern, your mandate is to research and prototype foundation models, both transformer-based and graph-based, applied to OnePay's customer, transaction, and merchant data. You'll work on real modeling problems and build a working prototype that demonstrates the approach. This role will impact OnePay's vision by providing a remarkable customer experience, driving positive business outcomes, and improving operational efficiency. You will work closely with the product, engineering and applied science team(s) working across all business units. This role reports to the Head of AI/ML. This role is responsible for: - Research, design, and train foundation models on OnePay's data, working with transformer and/or graph-based architectures. - Run experiments, evaluate results rigorously, and turn promising findings into a working prototype. - Opportunity to work in an extremely fast paced growing company - Partner with Product, Engineering and Analytics teams to ensure we are providing a remarkable customer experience. - Driving significant impact on the company’s bottom line. YOU BRING - Final-Year Graduate Student: You’re in the final year of a master’s or PhD program, expected to graduate in Fall 2027 or Spring 2028, majoring in Engineering or a related field. - Deep Learning Fundamentals: You have a strong grasp of how neural networks work under the hood, including backpropagation, attention, embeddings, optimization, and training dynamics. You've implemented, trained, or fine-tuned models yourself through research, coursework, or personal projects, and you're comfortable working in PyTorch or an equivalent framework. - Prior Experience: You've completed at least one previous internship in research, machine learning, or software engineering, or have built substantial personal or academic projects you're excited to talk through. - Availability: This is a full-time, 8-week program running June 21 - August 13, 2027. You are available to work in our New York City office at least 3-4 days a week throughout. - Proactive & Collaborative Attitude: You have an act-like-an-owner mentality, thrive in a fast-moving environment, and enjoy working with others to achieve collective goals. - Critical Thinking & Problem-Solving Skills: You enjoy tackling complex challenges, analyzing problems, and developing solutions. Clear communication of ideas is one of your strengths. - Organized & Detail-Oriented: You’re a keen listener with strong organizational skills, capable of managing multiple tasks efficiently. - Excited to Learn & Grow: You are passionate about being part of a rapidly growing start-up and look forward to expanding your skills in a real-world setting. NICE TO HAVE - Familiarity with transformer-based foundation model architectures, including pre-training, fine-tuning, inference, and the tradeoffs between approaches. - Exposure to graph-based learning or graph foundation models, such as GNNs, message passing, or representation learning on graph-structured data. - Coursework or projects involving Large Language Models or Generative AI. - Research output in any of the above: publications, workshop papers, or open-source contributions. WHAT WE OFFER - Early access to a high potential, high growth fintech - Hands on experience building product ready to ship - Beautiful NYC SoHo Office - Professional development and team social outings PROGRAM & APPLICATION TIMELINE - Program runs June 21 - August 13, 2027 (8 weeks, full-time, in our NYC office) - We review applications and conduct interviews on a rolling basis as they come in - No offer decisions will be made until the application window closes – all candidates are evaluated together before final decisions go out - We are targeting a finalized cohort by December 1, 2026 - If there are intern spots still available, we may reopen applications in Spring 2027 Work Authorization: OnePay will not sponsor applicants who need employment sponsored visas for this position. Future sponsorship will not be considered. STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ROLE OVERVIEW As the Engineering Manager - Developer Productivity, you will lead a high-impact team focused on improving developer workflows, reducing friction, and enhancing the overall engineering experience. You’ll collaborate across teams to identify bottlenecks, implement scalable solutions, and foster a culture of continuous improvement. Your work will directly influence the speed, quality, and happiness of our engineering organization. RESPONSIBILITIES: 1. Infrastructure & Tooling - Oversee the development and maintenance of CI/CD pipelines, build systems, and internal tools, including AI-powered internal tooling and agents. - Ensure our developer infrastructure is scalable, reliable, and secure. - Evaluate and implement new AI-native technologies, considering token economics, compute costs, and AI spend alongside productivity gains. 2. Team Leadership & AI People Development - Build, mentor, and lead a team of engineers focused on developer productivity. - Foster a culture of collaboration, innovation, and accountability. - Set clear goals and provide regular feedback to drive team performance in partnership with your Director. - Assess each report's AI fluency level (Assisted, Augmented, Native) and set individual growth targets. - Include AI fluency as a coaching topic in 1:1s; pair less AI-fluent engineers with AI-native peers for knowledge transfer. - Create space for AI experimentation: dedicated time, safe-to-fail projects, and learning sprints. - Recognize and reward AI-driven improvements in performance conversations. 3. Collaboration & Communication - Work closely with engineering, product, and design teams to align priorities. - Advocate for developer needs and ensure alignment with company goals. - Communicate capabilities and limitations to non-technical stakeholders. - Write specs, rules files, and documentation that make AI more effective for the whole team. 4. Metrics & Continuous Improvement - Define and track key metrics to measure developer productivity, satisfaction, and AI-driven productivity gains. - Use data-driven insights to prioritize initiatives and demonstrate impact. - Track team-level AI adoption metrics and report on AI-augmented workflow effectiveness. - Continuously iterate on processes to improve engineering velocity and quality. 5. AI-Native Developer Experience - Identify and eliminate pain points in the development lifecycle, with a focus on AI-augmented workflows. - Drive adoption of AI coding tools (Cursor, Brain, copilots) as the default across engineering teams. - Ensure every team member has access to and is actively using AI tools; track adoption and remove blockers (tooling, access, training). - Partner with engineering teams to design AI-augmented development workflows that multiply team velocity. - Coach engineers on the Builder model: planning, delegating to agents, reviewing with judgment, and shipping with velocity. 6. AI Governance & Risk - Ensure the team follows AI usage guidelines (data handling, code review, IP considerations). - Flag risks from AI-generated code (security, correctness, licensing) proactively. - Maintain visibility into what AI tools the team is using and how they're being used. - Run regular retros and feedback loops on AI-related outcomes. - Review AI-generated outputs alongside the team to build shared quality standards.   QUALIFICATIONS: - Experience: 7+ years in software engineering, with 3+ years in a leadership role managing engineering teams. - Technical Expertise: Strong understanding of developer tools, CI/CD pipelines, and modern software development practices. Hands-on experience with AI coding tools (Cursor, Claude Code, Codex, or similar) and an understanding of how to integrate them into engineering workflows. - AI Fluency: Demonstrated ability to operate at the AI Augmented level or above: you personally use AI tools daily and have coached others on effective AI-assisted development. Familiar with prompt engineering, context engineering, and token economics. - Builder Mindset: Comfortable with the 80/20 model (planning and review vs. direct execution). Experience orchestrating work across humans and AI agents, with strong judgment on when to delegate to AI vs. when human decision-making is critical. - Leadership Skills: Proven ability to build and lead high-performing teams. Experience assessing and developing AI fluency across a team. - Problem-Solving: Track record of identifying inefficiencies and implementing scalable solutions, including building or adopting AI-powered tooling and eval frameworks. - Governance Awareness: Understanding of AI & non-AI related risks (security, correctness, licensing, data handling) and experience establishing quality standards for outputs. - Collaboration: Exceptional communication and stakeholder management skills. Ability to translate AI capabilities and limitations to non-technical audiences. - Mindset: Passion for improving developer experiences and driving organizational impact through AI-native practices with a customer first mentality.   WHY JOIN US? - Impactful Work: Shape the future of developer productivity at a fast-growing, AI-native SaaS company. - AI-Native Culture: Work in an organization that treats AI as a core competency, not a nice-to-have, with industry-leading investment in AI tooling, agents, and engineering workflows. - Builder Operating Model: Join a team that's redefining how software gets built: orchestrating AI agents, shipping with compound engineering, and measuring what matters. - Growth Opportunities: Advance your career on a clear AI-native career pathway with structured fluency levels and development support. - Flexible Environment: Enjoy the freedom of remote work with a global team. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Denver, Colorado, United States, AMER; Oakland, California, United States, AMER; USA - New York From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Senior UX Researcher to join our rapidly growing Product org. Our ideal candidate has a balance of research rigor and business focus. We value those that hit the ground running, leading by example on projects and collaborating well cross-functionally. You will be diving deep into the daily lives of our customers and applying that understanding to everyday product design decisions. We appreciate Researchers who are curious, humble, think deeply, speak clearly, and thrive on collaboration and feedback. If this sounds like a good fit for you, send us a hello with links to your work and experience. On day one, this role will report to the Director of UX Research. This is a full-time, hybrid position based out of our Oakland, CA, Denver, CO or New York, NY offices. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You’ll Do Plan, manage, and execute on user research programs across focused product areas Collaborate with design, product, and analytics to build research projects that align with stakeholder needs as well as user needs. Guide product and design on the research methodology, question framing, and other best practices for self-run studies. Identify emerging customer and user needs to support the development of new products. Synthesize learnings from past research and analytics data to tell compelling stories and lead ideation sessions. Skills We’re Looking For Experience conducting mixed-method qualitative and quantitative research. A strong portfolio that demonstrates your work, research philosophy, and impact. An entrepreneurial, self-motivated mindset with a bias toward action and the ability to lead projects through ambiguity. The ability to craft engaging presentations and compelling stories that influence stakeholders. A strong desire to understand our users and how our product contributes to their success. Experience using AI to plan studies, synthesize feedback, and work more efficiently. Bonus Skills​ Experience in the data industry Experience with various survey methods, analysis, visualizations and relevant data tools like SQL. #LI-HYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $174,391 — $217,989 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: San Francisco, California 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: As a member of the Corporate Finance team, you'll own the consolidated view of Notion's financial performance — the corporate model, the monthly close-to-reporting cycle, and the numbers that reach our executive team, Board of Directors, and investors. You'll immediately take ownership of core corporate FP&A workstreams, which include the consolidated P&L forecast, the monthly budget-vs-actual and reforecast cycles, and the planning systems that produce them.   This role is based San Francisco. 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 consolidated corporate model and the monthly reporting cadence — close actuals, budget-vs-actual, and the rolling reforecast — and connect reported performance to the revenue, headcount, and spend drivers behind it - Maintain and evolve Notion's planning system, primarily Pigment: maintain the corporate model structure, run the monthly data loads and scenario snapshots, reconcile the P&L, headcount, and departmental views, and build new models and views as the business changes - Assist in preparing and delivering presentations that effectively communicate Notion's financial performance and outlook to Notion's executive team, Board of Directors, and investors - Raise the quality and scalability of our reporting infrastructure, using AI, automation, and stronger data workflows to reduce manual work, improve accuracy, and surface insights faster — challenging existing processes and data inconsistencies that get in the way - Work cross-functionally across Accounting, BizTech, People, and our Business Partnership (BP) Finance team to keep source data, mappings, and the chart of accounts aligned as operating complexity grows — tightening the handoffs between close and forecast along the way SKILLS YOU'LL NEED TO BRING: - 2-5 years of experience across Investment Banking, Private Equity, Big 4, or corporate FP&A / Strategic Finance at a high-growth SaaS technology company - Demonstrated ability to build and own rigorous financial models, ideally a three-statement or consolidated operating model for a recurring-revenue or SaaS business - Hands-on experience with an enterprise planning tool (Pigment, Anaplan, Adaptive, Vena) or a clear track record of becoming fluent in new systems quickly - Strong analytical judgment and the ability to move from detailed data to a clear point of view on performance, risks, and opportunities - Ability to operate independently in ambiguous environments and communicate clearly with both financial and non-financial audiences - Ability to build finance processes from scratch and improve existing ones with a lens on long-term scalability and sustainability 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, the estimated base salary range for this role is $120,000 - $150,000 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. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #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: Remote (US); San Francisco, CA; New York, NY (HQ) Workplace: Remote ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is looking for an experienced Solutions Architect, Procurement (Pre-Sales, Enterprise) to serve as the technical and functional expert for Procurement and Procure-to-Pay (P2P) within our Solutions organization. This role is designed for someone who brings deep procurement domain expertise, technical implementation knowledge, and architect-level solution design skills to accelerate Ramp’s most complex, high-value enterprise evaluations. You will support enterprise Account Executives and Solutions Consultants in running sophisticated procurement cycles end-to-end — leading deep discovery, validating technical requirements, designing future-state workflows, and creating pre-sale implementation plans that ensure a seamless handoff to onboarding. You will act as Ramp’s primary procurement SME in the sales cycle and will partner cross-functionally with Product, Engineering, and Post-Sales Solutions to influence roadmap and shape how Ramp’s procurement offering evolves. This is a highly visible, customer-facing role ideal for former P2P implementers, procurement architects, or senior-level SCs with technical depth. WHAT YOU'LL DO LEAD TECHNICAL DISCOVERY AND SOLUTION DESIGN - Conduct deep-dive discovery sessions on procurement workflows, vendor management, sourcing, approvals, catalog strategy, and 3-way match requirements - Map customer procurement requirements to Ramp’s capabilities, identifying gaps and designing scalable workarounds - Analyze ERP configurations and data structures (Vendor Master, PO, Invoice, Receipt) to ensure compatibility with Ramp’s deployment patterns DRIVE TECHNICAL VALIDATION AND PRE-SALE IMPLEMENTATION PLANNING - Build pre-sale implementation plans (phases, timelines, dependencies) to eliminate re-discovery during onboarding - Conduct integration assessments, including API workflow validation, SFTP/data exchange requirements, and security/permissions modeling - Create workflow prototypes, configurations, and proof-of-concepts when needed to accelerate technical validation PARTNER WITH SALES TO WIN COMPLEX ENTERPRISE DEALS - Operate as the procurement technical lead in enterprise opportunities - Join high-value and complex P2P evaluations as the primary procurement SME, either as an overlay or as the lead SC for procurement-first deals - Quantify customer pain, run gap analyses, and translate procurement challenges into measurable ROI and value propositions INFLUENCE PRODUCT AND GTM STRATEGY - Provide structured feedback to Product on gaps, customer needs, and market trends - Help shape Ramp’s procurement roadmap and competitive positioning - Maintain a bird’s-eye view of the procurement technology landscape to inform strategic decisions ENSURE SEAMLESS HANDOFF TO ONBOARDING - Document all procurement requirements, decisions, and implementation guidance in a standardized format - Partner closely with Implementation and Technical Consulting teams to ensure they begin activation without additional discovery - Maintain consultative availability throughout onboarding when complex escalations arise TRAVEL - Travel up to 30%+ for onsite discovery workshops, executive briefings, and solution validation sessions WHAT YOU NEED - 8+ years of experience in Procurement, P2P, ERP, or similar technical implementation roles - Deep understanding of end-to-end procurement processes, including sourcing, procurement operations, vendor management, AP, bill pay, and contract workflows - Hands-on experience designing or implementing P2P solutions (Coupa, Ariba, Zip, Ivalua, Workday, NetSuite, etc.) - Strong technical acumen — API experience required, plus familiarity with SFTP, integrations, data migration, SCIM/SAML, and ERP financial objects - Experience running enterprise evaluations with C-suite and VP-level stakeholders - Exceptional communication and storytelling skills with the ability to translate complex workflows into clear solutions - Ability to design future-state workflows and build pre-sale implementation plans NICE TO HAVE - Certifications in Coupa, Ariba, Workday, or other ERP/P2P platforms - SQL or scripting familiarity - Experience working closely with Product teams to influence roadmap BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: New York ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal considers high-quality documentation to be essential for developer experience, and we see docs becoming even more important as agents increasingly deploy and operate Modal Apps. We are looking for a content-minded engineer who will partner with our product teams to curate Modal’s technical documentation and maintain a high quality bar across multiple dimensions. WHAT YOU'LL WORK ON: - Think holistically about content architecture and how the docs should evolve as Modal introduces new products and features - Innovate on novel documentation formats and delivery channels to optimize agent productivity, in collaboration with our Agent DX research team - Develop content standards, style guides, and automated enforcement mechanisms to ensure consistent style and high quality - Build and maintain automated pipelines that enforce the correctness of code examples and prose descriptions - Collaborate with engineers across the company to author documentation that is clear, consistent, and correct YOU MAY BE A FIT IF: - You have 3+ years of experience in an engineering, product, or developer relations role, ideally in the devtools or infrastructure space - You’ve authored or edited high-quality technical content for developers - You’re knowledgeable about agentic engineering workflows and best practices - You’re comfortable with modern software development practices (version control, CI/CD, testing)

Location: Remote Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. ROLE DESCRIPTION Security is core to Phantom’s product and the trust millions of users place in us. We’re building an AI-native security team that aggressively uses AI to expand the speed, depth, and reach of our work—from code review and threat modeling to vulnerability discovery and security automation. We’re looking for strong security engineers with high agency who can identify the risks that matter, build practical solutions, and take ownership from initial discovery through verified remediation. This is a hands-on, high-impact role spanning architecture, source code, testing, and production systems across Phantom’s mobile, web, and backend products. You’ll work directly with engineering and product teams, lead complex security initiatives, and build capabilities that scale across the company. At the Staff level, you’ll set technical direction and raise the bar for how Phantom designs, builds, and ships secure products. This role is fully remote and open to candidates based in the US, UK and Canada. RESPONSIBILITIES - Product Security Ownership: Partner with engineering teams to identify and address security risks across Phantom’s mobile applications, web products, APIs, and backend services. - Architecture and Threat Modeling: Lead security reviews for new products and major architectural changes, with particular attention to authorization boundaries, sensitive data, transaction integrity, key material, and third-party integrations. - Secure Product Development: Embed practical security controls into the software development lifecycle, from design and implementation through testing, release, and production operation. - Code Review and Security Testing: Perform AI assisted security code reviews and targeted testing of high-risk features. Build repeatable approaches that help find vulnerabilities before they reach production. - Security Tooling: Develop and improve tooling that gives engineers fast, actionable security feedback without creating unnecessary friction. Use automation and AI-assisted workflows where they materially improve coverage or speed. - Software Supply Chain Security: Harden CI/CD, build, and release systems against supply chain threats, including dependency risk, secrets exposure, build provenance, artifact integrity, and compromised developer or automation workflows. - Vulnerability Management: Triage findings from internal testing, researchers, bug bounty submissions, and third-party assessments. Work with owners to determine real-world impact and drive issues through verified remediation. - Incident Response: Support the investigation of product security incidents and suspicious activity. Turn lessons from incidents into durable improvements to product architecture, detection, and engineering standards. - Technical Leadership: Establish product security patterns and expectations across engineering. At the Staff level, lead ambiguous, cross-functional initiatives and influence architecture beyond any single product team. QUALIFICATIONS - 5+ years of experience in product security, application security, security engineering, or software engineering, including experience operating at a senior or staff level. - Strong understanding of web, mobile, API, and distributed-system security, including authentication, authorization, session management, cryptography, and common vulnerability classes. - Hands-on experience building or applying AI-assisted security tooling to test applications and APIs, combining automated analysis with source-code review and manual validation. - Demonstrated ability to review production code in one or more languages such as TypeScript, JavaScript, Rust, Python and Go. - Experience securing software supply chains and CI/CD systems, including dependencies, build infrastructure, secrets, artifacts, signing, and release integrity. - Experience threat modeling complex products and translating security risks into concrete engineering requirements. - Strong judgment when evaluating exploitability, business impact, and appropriate remediation. - Track record of partnering effectively with engineering and product teams while maintaining a high security bar. - Clear written and verbal communication, including the ability to explain technical risk to both engineers and non-security stakeholders. NICE TO HAVES - Experience securing consumer financial products, wallets, payments, or other systems where client integrity and transaction safety are critical. - Familiarity with blockchain systems, smart-contract interactions, transaction simulation, signing workflows, or self-custodial wallet architecture. - Experience securing browser extensions or native mobile applications. - Experience building and integrating application-security tooling, static or dynamic analysis, security test infrastructure, or policy-as-code controls. - Familiarity with AWS, Kubernetes, CI/CD systems, and cloud-native service architectures. - Experience working with bug bounty programs or coordinating external security assessments. The target base salary for this role will range between $200,000 to $250,000 with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors (such as location) at the point in time of offer. Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.

Location: Remote Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. As a Trust, Risk & Safety Engineer at Phantom, you’ll build the systems that safeguard our users, products, and platform. Working across the stack, you’ll detect and prevent abuse, assess emerging risks, reduce financial loss, and equip internal teams with the tools and intelligence needed to respond quickly and effectively. The ideal candidate brings high agency, a strong sense of ownership, exceptional technical judgment and product taste, a relentless work ethic, and the emotional intelligence to navigate complex, high-stakes situations. Responsibilities - Fraud prevention: Build real-time risk controls and decisioning systems for products such as ACH, debit cards, onramps, off-ramps, and other money movement experiences. - Scam and abuse detection: Develop signals, models, and product interventions that identify malicious wallets, transactions, applications, and user behavior. - Identity and compliance infrastructure: Build scalable KYC, sanctions screening, transaction monitoring, case management, and audit systems. - Data and intelligence: Create pipelines and tools that combine on-chain activity, product data, and third-party signals into actionable risk insights. - Product safety: Partner with product and engineering teams to design safeguards into new features from the beginning without compromising the user experience. - Operational tooling: Build internal tools that help Risk, Compliance, Support, and Security teams investigate incidents and take action efficiently. - Team building: Help establish the technical foundations and engineering culture for a new, high-impact function at Phantom. QUALIFICATIONS - Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience - 8+ years of full-time software engineering experience - Experience designing and operating reliable, data-intensive production systems - Strong product judgment and the ability to balance user experience, financial risk, and operational complexity - Ability to work across frontend, backend, APIs, data pipelines, and third-party integrations - Demonstrated interest in protecting users and building trustworthy financial products - Nice to have: Experience with fraud, risk, identity, KYC, AML, sanctions, payments, fintech, or blockchain systems - English language proficiency The target base salary for this role will range between $200,000 to $250,000 with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors (such as location) at the point in time of offer. Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a Director, IT SOX to join the Internal Audit team at Anthropic. In this role, you will be a hands-on technical contributor and key executor of our IT SOX compliance program, with deep focus on our IT General Controls, IT Application Controls, and system risk assessments. This role reports to the Head of IT SOX and is well-suited for someone who is comfortable with ambiguity, thrives in a high-pace environment, and enjoys solving problems that don't yet have industry-standard answers. This is a high-impact opportunity to collaborate with first and second lines of defense to help establish a control environment suitable for an AI-first company! You will act as a trusted advisor to Engineering, GRC, Security and Finance teams on the technology controls adapted to a fast growing and rapidly changing organization. You'll bring technical depth, a bias toward automation, and the ability to partner effectively with both technical teams and external auditors as the organization experiences scaling to public-company standards. Key responsibilities Advise on the design of a control environment fit for an AI-first company, including controls over highly automated DevOps pipelines and emerging agentic identity models Partner with Engineering, Security, IT, and DevOps teams to assess the design and implementation of scalable and sustainable controls Assess new system implementations and changes Identify automation and tooling opportunities to improve control efficiency and monitoring, and contribute to the development of continuous monitoring capabilities Assist in scoping and planning for annual SOX IT assessments Execute IT SOX testing across IT General Controls and IT Application Controls, including access management, change management, and computer operations Perform system and process risk assessments to identify control gaps and recommend remediation Own control documentation and ensure audit-ready evidence is current and complete Evaluate IT automated controls and support the shift from manual to automated control reliance Scale the IT SOX program as the company grows — rationalizing scope, standardizing testing approaches, and building repeatable processes that keep pace with new systems and entities Guide and direct the day-to-day work of internal team members and co-sourced partners: setting priorities, reviewing workpapers, and ensuring quality and consistency across the testing program Build strong working relationships with process and control owners across the organization Translate technical control requirements for non-technical stakeholders and vice versa Support SEC cybersecurity disclosure requirements and related risk monitoring efforts Coordinate with external auditors on IT SOX matters, including evidence requests, walkthroughs, and testing schedules Track and assist with remediation of audit findings; communicate status to the Head of IT SOX and relevant stakeholders Minimum qualifications Hands-on IT audit or IT SOX compliance experience, ideally in a fast-paced technology environment Deep working knowledge of ITGCs, ITACs, and IT risk assessment methodologies Experience auditing highly automated DevOps environments (CI/CD pipelines, infrastructure-as-code, automated deployments) and adapting traditional change-management and access controls to them Experience designing, testing, and documenting controls across access management, change management, and computer operations Demonstrated comfort with ambiguity and the ability to operate effectively in a high-pace, rapidly changing environment Ability to effectively guide and direct the work of internal team members and/or co-sourced partners Ability to work independently on complex, ambiguous workstreams while communicating proactively with senior stakeholders Strong project management and organizational skills with close attention to detail Clear, effective communicator — able to work across technical and non-technical audiences Preferred qualifications 12+ years of hands-on IT audit and SOX compliance experience, including time in a Big 4 or comparable environment Hands-on experience with cloud environments (GCP, AWS, and/or Azure) Experience scaling a compliance program to public-company standards Track record of scaling an audit or SOX program through periods of rapid growth Familiarity with enterprise systems such as Workday, Salesforce, or GitHub Experience evaluating SDLC controls in modern software development environments CISA, CIA, CISSP, CPA, or equivalent certification Genuine enthusiasm for working in an AI-first environment — applying AI to audit work itself and rethinking assumptions about how controls operate when AI is embedded in the processes being audited The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA • New York, NY 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 Data Science team partners across product, engineering, design, marketing, sales, and operations to help Figma make better decisions with data. As a PhD Data Science Intern, you’ll bring rigorous research training to some of Figma’s most important and open-ended questions, from researching emerging product and user behaviors and Figma’s broader ecosystem to developing new measurement methodologies, applying causal inference or machine learning, and building analytical systems. You’ll own a data science project end-to-end: from framing the question and methodology to translating findings into insights that influence Figma’s products, strategy, or data science practices; with the potential to continue toward publication after the internship. This internship will be based out of our San Francisco or New York hub. What you’ll do at Figma: Partner with cross-functional teams to turn ambiguous product, platform, or business questions into well-defined data science problems Analyze user, product, or business data to uncover insights and recommend actions Design and evaluate experiments, metrics, statistical or machine learning models, and analytical frameworks Communicate assumptions, tradeoffs, limitations, and recommendations clearly to technical and non-technical partners Own a focused internship project end-to-end, from problem framing and technical execution through final recommendations, with potential to continue toward publication after the internship We’d love to hear from you if you have: Currently pursuing a PhD in Data Science, Statistics, Computer Science, Human-Computer Interaction (HCI), Economics, Operations Research, Physics, Applied Mathematics, or a related quantitative field; with demonstrated experience conducting independent research (e.g. thesis or equivalent research milestone) Demonstrated fluency in one or more research methodologies or technical areas, such as statistics, experimentation, machine learning, causal inference, econometrics, optimization, user research methods, or AI/LLMs Experience using a scripting language such as Python or R, as well as proficiency with SQL, for analysis, modeling, or work with complex or large-scale datasets through research, internships, or applied projects Ability to explain technical concepts clearly and connect analysis to decisions, recommendations, or product/business impact A curious, rigorous, and self-starting mindset, with the ability to thrive in ambiguous, fast-moving environments and translate research into real-world impact While it's not required, it's an added plus if you also have: Prior industry or applied research experience with experimental design, causal inference, forecasting, product measurement, user research, or applied machine learning to influence product, business, platform, or stakeholder decisions Publications or research relevant to applied data science Experience or interest in AI product measurement, LLM analytics/evaluation, recommendation systems, search, personalization, or evaluating AI-powered features 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 This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below.  Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future. Internship $68 — $68 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: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Manager, Influencer Planning San Mateo, CA (Collab) The Sr. Manager, Influencer Planning is a strategic planning leader responsible for building and operationalizing PlayStation's global influencer planning framework across the portfolio of games, hardware, services, sponsorships, and brand campaigns. Reporting to the Sr. Director, Marketing Partnerships & Activations, this role will define the influencer/creator plan & approach, portfolio prioritization, global/local planning processes, measurement frameworks, and investment recommendations that enable Influencer Partnerships & Activations to execute with greater clarity, consistency, and impact. This role will work in close partnership with the Influencer Partnerships team, as well as Brand, Media, Studios, Social, PR/Communications, and local market teams. The role is designed to strengthen upstream planning while allowing the activation team to focus on creator relationships, campaign delivery, and operational excellence. Key Responsibilities: Influencer Planning Develop and evolve PlayStation's global influencer planning framework across priority portfolio moments. Translate audience objectives, business priorities, and cultural opportunities into clear influencer strategies and recommendations. Define integrated approaches across paid, earned, creator advocacy, Playmakers, talent partnerships, events, sponsorships, and local activation. Establish consistent briefs, planning calendars, inputs, and decision-making frameworks across influencer workstreams. Audience, Creator & Cultural Intelligence Build a consistent view of priority audiences, creator archetypes, communities, platforms, and cultural behaviors relevant to PlayStation. Identify emerging creator, gaming, entertainment, sports, youth culture, and platform trends, partnering with Insights and Analytics to translate them into actionable strategy. Portfolio Prioritization & Investment Strategy Define where influencer support should be full-service, lighter-touch, locally led, agency-supported, or enabled through scalable playbooks. Develop investment and resource recommendations across priority initiatives, balancing business impact, cultural opportunity, audience reach, and available resources. Global / Local Planning Model Build and maintain a global planning model that incorporates local market expertise and establishes clear roles, inputs, briefing expectations, and feedback loops. Drive global consistency while enabling local cultural relevance, platform nuance, and creator-market fit. Measurement, Learning & Cross-Functional Leadership Define KPI, reporting, and learning frameworks that measure audience impact, cultural relevance, creator advocacy, engagement, efficiency, and business contribution. Translate campaign performance and learnings into future planning recommendations in partnership with activation leads, agencies, Analytics, and local markets. Serve as a strategic partner to cross-functional teams and senior leadership, providing clear recommendations on influencer opportunities, priorities, investment, and tradeoffs. Build tools, templates, AI-enabled workflows, and operating rhythms that improve speed, clarity, and scalability across the function. Skills and Qualifications: 10-12+ years of experience in influencer marketing, creator strategy, talent partnerships, brand marketing, integrated marketing, entertainment marketing, or social-first audience strategy. Bachelor's degree in marketing, advertising, communications, business, or a related field; equivalent experience considered. Proven experience developing global influencer programs for major consumer brands, entertainment companies, gaming companies, studios, agencies, platforms, or technology brands. Deep understanding of the creator economy, social platforms, gaming communities, youth culture, talent/influencer models, and the behaviors shaping cultural relevance today. Strong strategic planning capability, including audience definition, portfolio prioritization, brief development, measurement frameworks, and investment recommendations. Experience building operating models, planning processes, playbooks, and cross-functional ways of working in complex matrixed organizations. Strong executive communication skills, including the ability to synthesize complex information into clear recommendations and persuasive exec-level presentations. Demonstrated ability to influence senior stakeholders and partner effectively across Brand, Product Marketing, Studios, Local Markets, PR/Comms, Social, Media, Legal, Finance, Procurement, and agency teams. Strong analytical orientation with the ability to define KPIs, interpret campaign results, identify learnings, and translate data into future planning decisions. AI fluency or willingness to rapidly adopt AI-enabled workflows for cultural trend scanning, creator discovery, reporting, knowledge management, and planning efficiency. Highly organized, proactive, and comfortable operating in a fast-paced environment with competing priorities, confidential information, and high-visibility initiatives. Genuine passion for gaming, entertainment, creators, sports, youth culture, and the PlayStation brand. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $194,200 — $291,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Databricks, an American IT firm specializing in a unified cloud platform for big data and AI, is seeking Forward Deployed Engineers in Amsterdam and Senior Forward Deployed Engineers in Stockholm. Candidates should have experience with Python, Scala, JavaScript or TypeScript, Apache Spark, and cloud platforms such as AWS, Azure, or GCP. Familiarity with CI/CD pipelines, MLOps, machine learning and AI models, as well as AI APIs, is required. These positions are on-site roles.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data supply chain: the semantic models, curated data products, metric definitions, and consumption experiences that turn engineered data into decisions. This is not a traditional reporting leadership role; the classic notion of “reporting” in the form of a myriad of dashboards and filters is racing towards obsolescence. But the need for data and insights, and the need to deliver it in a way that is digestible and actionable, is timeless. Yes, governed dashboards and trusted reporting remain the foundation, and this leader must be excellent at that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents that monitor data continuously and deliver insight without being asked. Analytics engineering shares much of its DNA with data engineering — modeling, transformation, testing, version control, CI/CD, performance and cost discipline — but is oriented toward business enablement rather than platform and pipeline. Success in this role therefore depends as much on partnership as on technical depth. This leader will work shoulder to shoulder with Data Engineering on the boundary between platform and consumption, with Product Management on roadmap and requirements, with Data Science on advanced analytic products, and with Analytics Operations on a disciplined intake and prioritization process that makes the best possible use of finite capacity. The ideal candidate has spent years building the traditional foundations — governance, metadata, lineage, dimensional modeling, engaging with enterprise BI platforms— and is now looking to apply that rigor to a fundamentally different generation of analytic products in new and innovative ways. What you'll be doing: Organizational Leadership Lead, coach, and develop an organization of approximately 30 people, including managing through frontline managers; own hiring, role clarity, career pathing, performance management, and succession planning. Define a multi-year vision and roadmap for enterprise reporting and analytics engineering, and translate it into quarterly outcomes the team and its partners can measure. Partner closely with Product Management to jointly shape the multi-year enterprise end-to-end data strategy. Own the organization's budget, vendor relationships, and contractor or offshore capacity. Establish and sustain an engineering culture within an analytics function: peer review, automated testing, documentation standards, source control, CI/CD, etc. Analytics Engineering and Data Architecture Drive maturity of the last-mile architecture in partnership with Data Engineering: curated marts, semantic layers, reusable data products, and certified datasets that serve reporting, ai enablement, data science, and downstream applications. Define and enforce dimensional modeling standards, transformation frameworks, and modular, tested, version-controlled analytics code. Own the enterprise metric layer so that key business measures carry a single, governed definition regardless of where they are consumed. Partner with Data Engineering to define clear contracts and handoffs between pipeline and platform work and last-mile modeling, including shared tooling, standards, and escalation paths. Manage query performance, warehouse consumption, and platform cost as first-class engineering concerns. Data Governance, Metadata, and Lineage Own cataloging, business glossary, data certification, and stewardship workflows, leveraging tools such as Atlan as the primary metadata platform. Maintain column-level lineage across the analytics estate to support impact analysis, change management, audit, and root-cause investigation. Leverage data access provisioning and entitlement models, including row- and column-level security, in partnership with Security, Privacy, and Compliance. Collaborate with Data Engineering to drive data quality monitoring, freshness and availability SLAs, observability, and incident response for analytic assets. Enterprise Reporting and Data Visualization Drive analytics engagement by leveraging enterprise visualization and provisioning platforms, including Domo and Tableau, in partnership with Data Engineering. Ensure best practices are followed in data architecture, governance, adoption, performance, and total cost management. Set visualization and information design standards that make reports readable, consistent, accessible, and decision-oriented. Rationalize the existing reporting portfolio: retire redundant and unused assets, consolidate overlapping content, drive down tech debt and drive consumption toward certified sources. Build a durable self-service capability through training, templates, community, office hours, and clear guardrails on what belongs in self-service versus centrally managed content. Advanced, Proactive, and AI-Enabled Analytics Partner with Data Science to productize their work: build the visualization, interaction, monitoring, and feedback loops that turn models and research into products the business actually uses. Partner with Product Management and Data Engineering to enable generative AI and LLM access to enterprise data. This includes preparing the semantic and metadata foundation that makes data legible to models, delivering conversational analytics, text-to-SQL, and retrieval-augmented experiences on governed sources, and establishing guardrails, evaluation, and accuracy monitoring so that answers can be trusted. Build exception-based analytics that detect when an outcome deviates from its expected value in a statistically significant way, using seasonality-aware baselines, forecast residuals, control limits, and anomaly detection rather than static thresholds. Route those exceptions to accountable owners with context, likely drivers, and a recommended next action; actively tune sensitivity and volume to prevent alert fatigue and preserve signal. Design and deploy analytic agents that proactively monitor data, investigate variances, assemble narrative explanations, and deliver insight into the tools where people already work. Shift the organization's consumption model from pull to push: the measure of success is not how many people opened a dashboard, but whether the right person was told the right thing at the right time. Cross-Functional Partnership, Intake, and Prioritization Operate as a true partner to Product Management: contribute to roadmap, requirements, user research, and release planning, and run analytics with a product mindset covering personas, adoption metrics, and asset lifecycle management. Partner with Analytics Operations to run a transparent intake, triage, sizing, and prioritization process, with published capacity, explicit tradeoffs, and reliable delivery commitments. Make capacity constraints visible to stakeholders and executives, drive reuse over one-off builds, and decline or defer work with evidence rather than friction. Serve as a senior, executive-facing partner to business functions, translating ambiguous business questions into well-scoped analytic solutions. What we're looking for: Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, or a related quantitative field; equivalent professional experience will be considered. 15+ years of progressive experience in data, analytics, or business intelligence, including 8+ years leading teams and 4+ years managing managers. Demonstrated experience leading an organization of 25 or more people in a large, matrixed enterprise. Strong hands-on foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt. Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing, and CI/CD. Enterprise-scale leveraging of BI and data visualization platforms such as Domo, Tableau, Power BI, or Looker, including governance, provisioning, adoption, and cost management. Demonstrated ability to participate in driving data governance program covering catalog, lineage, glossary, stewardship, quality, and access, using platforms such as Atlan, Collibra, Alation, or Informatica. Proven track record of delivering jointly with Data Engineering and Product Management, with clear ownership boundaries and shared accountability. Direct experience partnering with Data Science, including operationalizing, visualizing, and monitoring model output for business consumption. Working command of the statistical concepts underlying exception detection, including hypothesis testing, confidence intervals, variance and control limits, seasonality, and forecasting. Experience running a formal intake, prioritization, and capacity planning process for a shared services or platform organization. Excellent executive communication and influence skills, with the ability to operate effectively amid ambiguity and competing priorities. Experience managing budget, vendor contracts, and platform licensing. Preferred Skills: Master's degree or MBA in a related field. Production experience delivering LLM-based analytics: retrieval-augmented generation over governed data, text-to-SQL or conversational BI, semantic layers designed for model consumption, and prompt, evaluation, and cost monitoring frameworks. Experience designing agentic workflows and orchestration for monitoring, investigation, and notification use cases. Hands-on experience with Atlan, Domo, and Tableau specifically. Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts. Experience deploying anomaly detection at scale, including alert routing, suppression, and fatigue management. Familiarity with data product and data mesh operating models, domain-aligned ownership, and data contracts. Experience operating in an Agile or product operating model at scale, including portfolio, OKR, and roadmap management. Deep experience with the “Silicon Valley” school of Product Management, as exemplified by the “Marty Kagan”-style academic approach a significant plus. Experience leading global or matrixed teams, including offshore or vendor-partnered delivery models. Track record leading a major platform migration, consolidation, or reporting rationalization effort. Demonstrated success attracting, developing, and retaining senior technical talent in a competitive market. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? The Solutions Marketing team positions Fin to win in the market through compelling messaging, content, audience understanding, and field activation. The Director of Solutions will manage a team of solution marketers that will fundamentally help our revenue teams to be more effective and grow Fin ARR. This is a strategic role in the company, working directly with the senior leadership team. The Role The Solutions Marketing team can be thought of as the solutions or outbound equivalent of a traditional product marketing team. Fin already has a product marketing team that works closely with product managers to understand our product, create messaging, and build assets for product launches, the Website and our field. The Solutions Marketing team on the other hand, will focus on our product as a whole and how to best message it to the various audience segments we care about, and then activate revenue teams with that knowledge and content. What will I be doing? The work under your team will include: Partnering with the product marketing team and product and marketing executives on the company messaging Including how we articulate our differentiators to various audiences For industries that we prioritize, understanding what the buyer cares about and tailoring our messaging and content to win in that industry. Positioning Fin for enterprise audiences and supporting enterprise & ABM campaigns and sales cycles Building and managing our customer intelligence program so that our field is always confident and prepared to win every competitive deal Working closely with Product Marketing and Enablement teams to ensure that the field is equipped with the company, product, and competitive knowledge they need to win at a high rate. Supporting demand gen campaigns and sales plays with strategy, messaging, and content What we're looking for This role is for someone who can understand technology deeply while not losing sight of how to match messaging with audience needs and create content out of it that is compelling and memorable. You've done this before 8+ years in product marketing or solutions marketing at a B2B SaaS company 4+ years as a manager leading product or solution marketers Experience in B2B SaaS and, ideally AI-native or AI-centric companies A track record of success across the organizations you've worked at Skills you have Excellent written communication skills and strong editorial judgment. An innate desire to dispense with jargon and corporate speak and create simple yet compelling content. You’re product forward. You enjoy working with products, getting your hands dirty with the technology, and taking a product-first approach to marketing You are AI-forward in your work. You actively use AI to make yourself more productive and are very comfortable working within tools like Claude Cowork and Claude Code to move faster You’re AI forward in your interests. You're well past understanding the basics of the latest trends and technology shifts and enjoy getting into the next level of detail of where the market is going. *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $285,000 - $305,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Madrid, Spain Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We're looking for an Education Business Development in Madrid!    About Digital Ad Expert by Aleph Digital Ad Expert (DAE) is Aleph's global education initiative, opening access to digital skills for people across 170+ high-growth markets. Recognized by UNESCO's Global Education Coalition, DAE has reached over 900,000 learners with certifications, platform badges, and expert-led masterclasses spanning digital marketing, AI, analytics, and entrepreneurship. DAE is entering a new chapter. Behind it sits a full education infrastructure — a multilingual learning platform, a content engine, instructional design standards, and a global learner community — built over five years and ready to be leveraged further. We're building the commercial model that lets that mission scale: partnering with corporate partners, international cooperation organizations, and private capital to fund and grow both the business opportunity and the social impact initiative.  As Education Business Development, you'll be the driving force behind that commercial model — building and closing partnerships with universities, companies, and associations to bring DAE's programs to new markets and new learners. You'll co-define and execute DAE's B2B commercial strategy, turning five years of education infrastructure into sustainable, scalable growth. What You'll Do Shape the strategy , working closely with DAE's Education Lead, on which markets, verticals, and partnership models DAE should pursue — and how its offering should be commercially structured. Own execution , leading the full sales cycle to close a small number of high-value, strategic agreements and deals with corporate partners, government opportunities, and/or private capital. Build and manage a pipeline of prospective partners — universities, corporate learning teams, associations, and public-sector bodies — qualifying opportunities against DAE's strategic priorities rather than pursuing volume for its own sake. Represent Education commercially to internal and external stakeholders, including senior decision-makers at partner institutions Maintain a feedback loop between sales and content : flag where the market is asking for programs or skills DAE doesn't yet offer well. Identify and pursue strategic alliances , including partnerships with consortia positioned to guarantee external financial support for education-related programs. What You Need For This Role 6-8 years of experience in B2B enterprise sales, partnerships, or business development, with a track record of closing large, long-cycle deals with complex institutional stakeholders Demonstrated experience helping shape commercial strategy — not only executing a model designed elsewhere, but having a real voice in deciding which markets and partnership types to pursue Educational Background: Holds a Bachelor's degree or academic equivalent  in International Business, Business Administration, Commerce, Marketing or a related field (MBA with focus on Business Development or Sales is a plus) Commercially-minded and proactive , with a genuine drive to identify and generate new business opportunities. Consultative, solution-selling approach — comfortable operating in ambiguity, moving away from a fixed catalogue to build custom offers for each client, including designing and negotiating bespoke commercial agreements (structure, pricing, scope) from scratch. Strong communication skills , both verbal and written — able to adapt tone and content for different audiences (corporate decision-makers, government stakeholders, academic partners). Fluent English and Spanish, French or Arabic is a plus. Confident working independently. Prior experience in education, edtech, corporate training, or professional certifications. Experience working with international cooperation organizations, development banks, or impact-oriented capital and pursuing external funding for social-impact/ESG initiatives. What Will Make Us Really Love You You bring a track record of success in a similar role, with hands-on experience. You’re not afraid to challenge the status quo and bring fresh, out-of-the-box ideas to the table. You anticipate challenges before they arise and take initiative to find effective solutions. You have an eye for detail. You thrive on teamwork but also bring a driven, goal-oriented spirit. You’re genuinely enthusiastic about advertising, ad-tech, and staying ahead of industry trends. You have the ability to engage and communicate with internal and external stakeholders in a positive and approachable way. What You’ll Love About Us We care about your individuality by giving you freedom to grow and create within the company, regardless of your position Learn from the best: Our state of the art workshops guarantee the latest insights into digital advertising Be part of a company with a truly global footprint, working with leading brands, platforms, and publishers across 90+ markets. We foster a dynamic environment where creativity, collaboration, and bold ideas are encouraged and celebrated. Join a diverse, multicultural team that values and embraces different perspectives, experiences, and talents. At Aleph, your work directly contributes to connecting brands and consumers in meaningful ways, shaping the future of digital advertising. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is EUR 48,000. In addition to base salary, this role includes a variable component, paid annually. The final offer will reflect your experience, skills, and the scope of the role.     #ALEPH Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Canada Role overview: We are seeking an experienced Electrical Power System Engineer to support the concept, detailed design, analysis, verification and integration of electrical power subsystems (solar arrays, power-conditioning units, batteries, distribution & regulation) for our current and next-generation remote sensing and communications satellites. The role works closely with payload, bus, thermal, structural and mission-systems multidisciplinary teams responsible for delivering high-performance, reliable EPS solutions to commercial, government, and defense customers. Tasks summary: Architecture Concept & Requirements • Define EPS architecture (generation, storage, distribution) that satisfies mission power budget, mass, volume and reliability constraints. • Perform trade-studies (e.g., solar cell type, battery chemistry, regulator topology). • Generate system requirements, functional flow block diagrams. • Develop the Interface Control Documents (ICD) and Design Description. • Perform requirement management and maintain bidirectional traceability throughout the program life cycle. Detailed Design & Analysis • Size solar arrays, power-conditioning units, battery packs, and power distribution units. • Build and validate high-fidelity electrical models for satellite modes, FMECA, Fault detection… • Conduct & maintain power budget models, load-flow, thermal-power coupling, and survivability analyses (e.g., eclipse, safe-mode, fault-tolerant). Cross‑Functional Coordination, Stakeholder & Program Interaction • Present technical status, risk analyses, and trade‑study results to senior management. • Interface with spacecraft bus teams (power, thermal, structure, avionics). • Develop/maintain high-fidelity power models for mission analysis (e.g., orbit raising, station-keeping, de-orbit). • Develop tools for power efficiency & optimisation for the satellite. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Author verification plans, test matrices, and validation procedures for unit & EPS subsystem tests. • Support ground-test & integration campaigns, fueling, thermal vacuum, EMI/EMC, and spacecraft-level integration. • Analyse test data, close out anomalies, and update design baselines. • Support FSW integration Technical Leadership & Mentorship • Mentor, guide, lead a multidisciplinary team of junior or intermediate system engineers & interns • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to Client's knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Maintain design and safety standards. • Ensure all artefacts, analysis, software, documentations and deliverables are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation Launch‑Site, On‑Orbit & Operations Support • Support launch‑site interface checklists with LVI responsible engineer, pre‑launch checkout procedures, and early‑orbit checkout scripts. • Provide real‑time engineering support during launch, on‑orbit commissioning, anomaly investigations and contingency operations. • Support SOOH development and associated operator trainings. Required Qualifications: • B.Sc. in Electrical Engineering, Aerospace or Physics with 8 + years of EPS system design experience on LEO/MEO platforms. • Deep knowledge of spacecraft bus subsystems and their interactions. • Experience with power‑electronics design and power management hardware. • Strong understanding of aerospace system engineering fundamentals • Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. • Experience with Confluence and JIRA • Demonstrated capability to efficiently work with little supervision • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Canada Role overview: We are seeking a GNC System Engineer for design, integration, verification, and operational support of GNC subsystems for our current and next-generation remote sensing and communications satellites. The role will require to design the complete subsystem, from algorithm development through hardware implementation, verification, and on‑orbit operation support. The role requires deep expertise in orbital dynamics, attitude‑determination & control, plus real‑time FSW definition and integration, and will work closely with subsystem and mission operations teams throughout the satellite life-cycle. Tasks summary: Architecture Concept & Requirements • Derive GNC functional, performance, and safety requirements (pointing accuracy, slew rate, orbit‑maintenance ΔV, fault‑tolerance) from mission level requirements. • Produce System Requirements, Interface Control document (ICD), and Description Document. • Perform requirement management and maintain bidirectional traceability throughout the project lifecycle. Modelling & Trade‑Study • Conduct trade studies on sensor suites and actuator families. • Perform high‑fidelity dynamics simulations (Matlab/Simulink, STK) to meet pointing requirements, maintain error budgets, control‑law stability, fuel consumption, and survivability margins. Algorithm Development • Design and implement attitude‑determination algorithms and orbit‑determination solutions. • Develop control laws for 3‑axis stabilization, slew maneuvers, station keeping algorithms • Validate algorithms with Monte‑Carlo analysis, worst‑case scenarios, and support SIL/HIL testing on avionic test bench. Cross‑Functional Coordination, Stakeholder & Program Interaction • Translate algorithms into FSW requirements running on real‑time operating systems. • Collaborate with the C&DH and FSW teams to implement TM/TC, schedulers and FDIR logic for GNC. • Present technical status, risk analyses, and trade‑study results to senior management. • Negotiate and maintain ICDs with subsystems. • Support B&P (Phase 0 & pre-phase A). Hardware Selection & Design • Specify sensor and actuator hardware, perform interface definition (electrical, mechanical, thermal) and conduct trade on redundancy architectures. • Work with structures and thermal engineers to ensure proper mounting, thermal paths, and vibration survivability of GNC hardware aligning with payload requirements. • Review harness routing and power distribution for GNC electronics. Integration & Verification (IVV) • Author Verification Plans, Test Matrices, and Validation Procedures for unit, subsystem, and spacecraft level GNC tests. • Lead functional tests: sensor calibration, actuator command‑response, closed‑loop attitude‑control on testbeds, and on‑orbit checkout sequences. • Conduct failure mode and effects analysis (FMEA), fault tree analysis (FTA), and reliability prediction. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to Client’s knowledge‑base, process enhancements, and standards. Configuration, Documentation & Standards Management • Maintain GNC standards (sensor/actuator interface, filter design, control‑law documentation). • Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation On‑Orbit & Operations Support • Support procedure developments (detumble, orbit‑maintenance, safe‑mode…etc.). • Provide real‑time GNC support during launch, early‑orbit checkout, and contingency events. • Analyse on‑orbit telemetry, update filter parameters, and generate performance reports. • Support SOOH development and associated operator training. Required Qualifications: • B.Sc. in Electrical Engineering, Aerospace or Physics, (M.Sc. preferred), focused on flight dynamics, control theory, or navigation with 10+ of GNC/AOCS experience on LEO/MEO/GEO platforms. • Orbital mechanics, attitude dynamics, and control-law design (classical and modern optimal control). • Proficiency with navigation sensors and actuators. • Experience implementing real-time filtering and control algorithms in embedded code • Strong understanding of aerospace system engineering fundamentals. • Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. • Experience with Confluence and JIRA. • Demonstrated capability to efficiently work with little supervision. • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and verbal communications skills in English & French work environment.

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! We are looking for a Data Platform Engineer to join our Data Engineering team and help build the foundational systems that power Figma’s next generation of AI-driven products and data experiences. This is a unique opportunity to be an early engineer shaping Figma’s ML and data platform, enabling everything from self-serve analytics to production-grade AI systems. You’ll work at the intersection of data, infrastructure, and machine learning, building scalable systems that empower Data Science, unlock AI capabilities across the company, and bring data and models closer to the product experience. 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: Build and evolve the shared data platform that powers analytics, Data Science, and data-driven product development at Figma Make data development faster and easier by improving local development, testing, CI/CD, staging, and deployment workflows Create self-service tools and clear paths for teams to build, deploy, and operate reliable data pipelines Improve the reliability of critical data systems through better monitoring, data quality, incident response, upgrades, and performance management Make trusted data easier to find and use by establishing clear definitions, ownership, lineage, and reliability expectations Partner across Data Engineering, Data Infrastructure, Data Science, Research, Modeling Platform, Security, and Product Engineering to define ownership boundaries and supported patterns for batch, micro-batch, reverse ETL, and product-facing delivery We’d love to hear from you if you have: 5+ years of experience building and operating production data platforms, developer infrastructure, or distributed systems Strong software engineering skills (Python or similar), with experience designing reliable and scalable systems Experience improving developer workflows such as local development, testing, CI/CD, orchestration, or deployment Experience with modern data infrastructure, such as cloud data warehouses, transformation frameworks, workflow orchestrators, infrastructure as code, and observability tools A track record of owning shared systems end to end, leading ambiguous cross-functional projects, and communicating effectively with Data Science, Infrastructure, and Product Engineering partners While it’s not required, it’s an added plus if you also have: Experience supporting ML or research data workflows 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: $153,000 — $376,000 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.