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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, Technical Revenue Accounting to join our Accounting Team. In this role, you will own the company’s most complex ASC 606 technical positions, lead the revenue accounting memo portfolio, and serve as the senior accounting decision-maker for new product revenue recognition treatments, non-standard deal structures, and partnership / marketplace go-to-market initiatives. You will partner directly with Deal Desk, Product, Legal, and Partnership leadership and set the technical revenue policy direction for the company! If you are looking for an opportunity to make a significant impact on the financial infrastructure of an innovative company, come join us in our mission to build cutting-edge, safe AI. Key responsibilities Own the company’s ASC 606 technical accounting memo portfolio — authoring and reviewing position papers on the most complex and judgment-intensive revenue recognition scenarios, including the SSP study Lead the technical revenue assessment for all new product offerings (NPI) and programs, serving as the accounting decision-maker on performance obligation identification, SSP evaluation, and contract modification frameworks, and providing authoritative guidance to Product, Pricing, and GTM cross-functional teams Serve as the senior Revenue Accounting partner to Deal Desk, Sales, and Legal — structuring non-standard deal terms, and providing real-time revenue recognition guidance on the company’s largest and most strategic commercial arrangements Provide technical accounting guidance on partnership and marketplace arrangements for cloud third-party channels, including principal-vs-agent determinations, and revenue-share / co-sell economics Own key accounting processes such as SSP analysis and related allocations, contractual credit amortization, reseller/partner channel incentives and rebates, footnote disclosures etc. Own the revenue contract review framework, including ASC 606 checklists, position papers, and escalation paths, ensuring revenue recognition compliance scales with deal volume Lead technical research initiatives on emerging revenue recognition issues and present recommendations to the Controller Translate complex technical accounting requirements into actionable business guidance for non-accounting stakeholders Review revenue-related month end close journal entries and flux analysis Drive process improvement and revenue system implementation projects, including scoping, design sign-off, and UAT ownership Minimum qualifications Have a track record of authoring technical accounting memos on complex, judgment-intensive revenue arrangements Have strong knowledge of ASC 606 with experience in performance obligation analysis, standalone selling prices, contract modification accounting, considerations payable to a customer, principal versus agent analysis, material rights, and variable consideration treatment Ability to articulate complex accounting positions clearly, and proactively conduct technical accounting research to identify emerging revenue recognition challenges Have hands-on experience with revenue recognition tools (e.g., Workday Financial Management, Zuora RevPro) Have SQL proficiency for querying and analyzing large revenue and contract datasets Have proven ability to lead cross-functional workstreams across Deal Desk, Product, and Partnership teams and drive results Have a demonstrated ability to thrive in fast-paced, ambiguous environments Preferred qualifications Have 14+ years of progressive accounting experience, with extensive expertise in ASC 606 implementation and complex revenue recognition scenarios, including 4+ years in a technical revenue leadership or managerial role A Bachelor's degree in Accounting or Finance; CPA required with demonstrated technical accounting expertise Big 4 technical accounting / national office background combined with industry experience Experience with technical accounting advisory work, including revenue recognition consulting or implementation experience Experience with cloud marketplace, reseller, or channel partnership revenue arrangements Experience working with consumption-based and subscription-based revenue models Knowledge of AI/ML, SaaS and technology sector revenue recognition complexities 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building highload products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. We are looking for a QA to join a team that develops high-load services for video streaming, both on the server side and on the UI side. The candidate will have to participate in testing our js player, look for bugs on the server side and work together on the quality of our product. Job Responsibilities Testing new functionality, bug fixes and technical tasks related to our Live video streaming services and video player. Analysis of requirements and searching for bottlenecks during testing in collaboration with development and DevOps engineers. Selenium/Playwright/Appium/API autotests coverage immediately on the principle of "not covered - not release". Creating missing autotests for existing functionality. Manual testing and investigation of prod issues. You’ll thrive here if you have 5+ years of experience in web application (client-server) testing. 4+ years of AP I and UI auto testing experience using Python and QA Automation Test Patterns . Experience with Git, Bash, Docker. Ability to create comprehensive test scenarios. Nice to have Experience with Gitlab Cl (or any other ci/cd). Mobile and network conditions testing. Knowledge of video codecs (H264, H265, VP8, etc.). Experience with ffmpeg/ffprobe. Knowledge of how webRTC and HLS work. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Recruitment process HR interview (40 min). Technical interview (1.5 hour). Live-coding (1.5 hour). Final interview (1 hour). Recommendations check. Job Offer.

Location: New Cairo City, Egypt Location: Cairo, Egypt (100% On-Premise) Contract Duration: 4 Months Employment Type: Contract About us: Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges. Job Summary: This hybrid role combines strategic product ownership with deep business systems analysis to join the Xenon7 Core Team . In this strategic hybrid role, you will act as a key driver across our internal core initiatives and high-impact client engagements within the Banking & Financial Services practice. You will bridge high-level strategy, business requirements, and technical execution, owning product backlogs, leading requirements discovery, and designing workflows across non-core banking systems, data pipelines, and digital platforms. A. Product Ownership & Backlog Management Backlog Leadership: Own, structure, and prioritize the product backlog for core Xenon7 platform solutions and key delivery practices, balancing feature value, tech debt, and strategic goals. Story & Requirement Definition: Author clear, actionable User Stories complete with robust Acceptance Criteria (BDD/Gherkin) alongside formal BRDs/FRDs when navigating structured SDLC governance. Agile Execution: Lead sprint planning, backlog refinement, daily standups, and sprint demos in collaboration with engineering teams, data architects, and QA leads. Release Approval: Define acceptance criteria, validate delivered features, and hold sign-off authority for production releases. B. Business & Systems Analysis Workflow Automation & Optimization: Analyze complex operational processes, identify bottlenecks, and architect TO-BE automated solutions using enterprise platforms like ServiceNow , JIRA , and custom software stack implementations. Systems & Data Integration: Conduct gap analysis for enterprise non-core banking platforms (CRM, ECM, HR systems) and define system interface specifications, data flows, and REST API mappings. Practice Standards: Establish and champion BA/PO best practices, documentation templates, and requirement-gathering frameworks across the Xenon7 delivery organization. C. Strategic & Regulatory Alignment Financial Domain Expertise: Translate complex banking standards and regulations—such as Central Bank of Egypt (CBE) frameworks, IFRS 9 , AML/KYC , and Basel compliance—into actionable product specifications. Stakeholder Management: Serve as a subject matter expert and trusted advisor to internal executive leaders and key client counterparts, translating complex business needs into technical solutions. D. Data Analytics & Quality Assurance Data Insights: Utilize SQL , Power BI , and Tableau to profile datasets, validate functionality, and build executive-level delivery and performance dashboards. UAT Governance: Define test strategy, coordinate User Acceptance Testing (UAT), review QA test scenarios, and manage defect resolution to guarantee enterprise-grade delivery. Requirements Experience: 5 + years of experience as a Business Analyst, Product Owner, or hybrid BA/PO within Banking background is a must Domain Expertise: Deep knowledge of enterprise systems ( CRM, ECM, HR platforms, ServiceNow ) and financial compliance/regulatory frameworks. Technical Toolset: Proficiency in JIRA , Confluence , and ServiceNow . Strong working knowledge of Power BI , Tableau , and SQL for data analysis. Solid understanding of REST APIs, microservices architectures, and database design. Agile Mastery: Hands-on experience driving product delivery in Scrum, Kanban, and hybrid delivery models. Languages: Advanced bilingual communication skills in Arabic and English (written and spoken). Preferred Certifications Product Ownership: Professional Scrum Product Owner (PSPO), CSPO, or Agile BA. Business Analysis: Certified Business Analysis Professional (CBAP) or PMI-PBA.

Location: New York, NY, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! WHY BOX NEEDS YOU The mission of the Global Go to Market (GTM) Enablement team is to empower Box's customer-facing teams with the knowledge, skills, and tools they need to win. As our Sales Productivity Manager , you will sit at the intersection of business strategy, data-driven skill diagnostics, and modern learning design. In this role, you will translate strategic company priorities into practical, high-impact enablement programs for Box Account Executives. Leveraging seller performance data, CRM analytics, and cross-functional partnerships across Sales, Enablement, and Operations, you will build and execute skills-based curricula, world-class onboarding paths, and interactive practice labs. By integrating AI-first tools and establishing rigorous performance benchmarks, you will play a pivotal role in accelerating ramp time, increasing quota attainment, and driving sustained sales excellence across our global teams. WHAT YOU'LL DO Seller Productivity curriculum design: Design and deliver role-specific, skills-based curriculum for AEs focused on core selling competencies: discovery, qualification, demo delivery, value-based selling, objection handling, negotiation, and account planning. Design and deliver AE onboarding. Lead live training and coaching: Facilitate and deliver instructor-led workshops, virtual skill labs, bootcamps, and reinforcement sessions that emphasize practice, feedback, and behavior change. Design and administer skill assessments and proficiency checks to measure competency and guide coaching. Generate consensus: Build consensus and momentum across senior, cross-functional audiences including field leadership and sales operations to diagnose skill gaps using performance metrics, CRM data, call recordings, and seller feedback; prioritize high-impact skills. Program element creation: Create short-form learning assets to support your curriculum: recorded coaching, video role-plays, microlearning modules, practice scenarios, assessments, and facilitator guides. Program management: Establish and maintain a training cadence (onboarding, ramp, role progression support, ongoing practice cycles) and ensure consistent delivery across regions and teams managing to timelines, functional priorities, and project plans. Measure: Define KPIs for training initiatives (ramp time, skill proficiency, call-to-demo conversion, win rates where applicable) and iterate curriculum based on data. AI-First enablement: Leverage Box AI and modern generative AI tools to 10X the onboarding and sales skills building experience WHO YOU ARE 4+ years in sales enablement, sales training, or related roles in B2B SaaS with direct experience training quota-carrying sellers. Instructional design instincts: demonstrated success designing and delivering skills-focused learning that improved seller behaviors and measurable performance outcomes. Strong facilitation and coaching skills: comfortable leading live sessions and conducting role-play–based skills practice. Knowledge of sales methodologies (e.g., MEDDPICC/MEDDIC, SPIN, Challenger, Command of the Message) and ability to translate methodology into practical seller behaviors. Experience using coaching tools and sources of truth for skills diagnostics: call recording platforms, LMS, CRM (Salesforce preferred), and enablement analytics. Project and stakeholder management experience; ability to coordinate across a matrixed organization and multiple regions. Proven ability to work at AI-speed, in fast-paced, matrixed environments Excellent communication skills, both written and oral Bachelor’s degree or equivalent experience. Preferred skills Experience enabling both new business and expansion/renewal sellers. Background in adult learning, instructional design, or certification in relevant fields (ATD, CPLP). Experience running sales role-play programs, certification paths, or coach-the-coach initiatives. Facilitation, curriculum design for skills practice, behavioral assessment, and data-driven iteration. Success metrics (first 6–12 months) Shorter ramp time for new sellers (baseline set in first 30 days). Improved proficiency scores on prioritized skills. Increased conversion metrics tied to trained skills (e.g., demo-to-opportunity). High adoption and satisfaction from sellers and managers. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process. EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . New York City Pay Range $121,500 — $152,000 USD

Location: Riga, Latvia Workplace: hybrid About the Client Our client is a dynamic and expanding company operating in the fintech sector, providing cutting-edge financial services to a diverse and international clientele. They are committed to delivering innovative solutions and excellent service while ensuring strong compliance and financial governance. Role Overview This is an exciting opportunity to step into a pivotal role where you will drive the financial strategy and governance of the company. As a CFO, you will own the financial work stream of the EMI licensing process and lead the finance function towards successful growth. This role demands strategic thinking, a strong regulatory understanding, and the vision to build a robust financial framework. Key Responsibilities Own the financial work stream of the EMI licensing process. Prepare and defend financial projections, budgets, capital and liquidity plans, and stress scenarios. Coordinate financial submissions and communication with regulators, auditors, and advisers. Build finance governance, internal controls, approval processes, and policies. Lead accounting, budgeting, forecasting, treasury, and management reporting. Oversee capital adequacy, liquidity, safeguarding, reconciliations, and regulatory reporting. Support senior leadership on pricing, unit economics, costs, funding, and commercial priorities. Build the finance team, systems, and external partnerships required for growth. Requirements 5+ years of senior finance leadership experience, including CFO-level responsibility in an EU-regulated financial institution. Hands-on experience with an EMI, Payment Institution, banking, or similar licence application. Strong knowledge of regulatory reporting, capital adequacy, liquidity, safeguarding, and financial governance. Experience leading accounting, budgeting, forecasting, treasury, audit, and management reporting. Bachelor’s degree in Finance, Accounting, Economics, or a related field. Languages: English, Russian. Experience in fintech. Key Soft Skills Strategic thinker with a strong regulatory focus. Excellent communication and interpersonal skills. Strong leadership and team-building capabilities. Ability to work in a fast-paced, scaling environment. High level of integrity and ethical standards. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. High-impact role in a scaling fintech company. Recognition of personal milestones and achievements. Social benefits.

Location: Germany; Portugal; Poland; Ireland; United Kingdom; Spain Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. 🎯 Your main goal will be to own the forward-looking financial plan for the top and mid funnel of n8n’s commercial engine, helping Marketing leadership make sharper investment decisions across both our PLG and SLG motions. To do so, you’ll turn demand, funnel, and marketing investment decisions into an integrated financial view that leadership can act on: OWN MARKETING PLANNING & FORECASTING - Drive n8n’s annual planning and regular forecasting process for Marketing end to end, from top-down targets and cross-functional alignment through regional segmentation, budget ownership, and consolidation into the company plan. - Partner with Marketing budget owners across demand generation, brand, community and DevRel, product marketing, and events to set budgets, forecast spend, and sharpen investment trade-offs. - Own program spend with the same rigor as headcount, including agency and media contracts, event and sponsorship commitments, phasing, seasonality, and in-year reallocations. MODEL FUNNEL & CHANNEL ECONOMICS - Model demand creation, signup and MQL volume, activation, qualified opportunity, conversion, and velocity with Marketing Ops and RevOps across both PLG and SLG motions. - Translate funnel and channel levers into the demand assumptions behind n8n’s integrated top-line model and quantify the financial impact and trade-offs of changing them. - Assess CAC and payback, conversion, pipeline contribution, and expected versus realized ROI using attribution, incrementality testing, and other causal methods where appropriate. BUILD A RIGOROUS MARKETING INVESTMENT FRAMEWORK - Establish a repeatable process for material marketing bets covering hypothesis, baseline, expected return, confidence range, leading indicators, scale-or-stop triggers, and post-investment review. - Build and defend investment cases for brand, community, content, events, and other spend that does not attribute cleanly to closed revenue. - Use internal evidence, external benchmarks, and post-investment learnings to drive in-year reallocations toward the highest-impact opportunities. TURN DATA INTO DECISIONS - Partner with Marketing Ops, RevOps, Data, and Controlling to keep the financial view aligned with n8n’s attribution, measurement, and reporting frameworks. - Own the financial metric definitions behind Marketing reporting and ensure teams are operating from a consistent view of performance. - Turn financial reporting and variance analysis into tangible insights and recommendations for Marketing leadership, executives, and board-level audiences when needed. REQUIREMENTS MUST-HAVES - 📊 FP&A experience: You have 7+ years of experience in FP&A or strategic finance, ideally in a fast-paced technology or B2B SaaS environment. - 🗂️ Complex planning experience: You have led complex, multi-entity, multi-stakeholder annual planning, budgeting, and forecasting processes end to end. - 🤝 Marketing business partnering: You have deep demand-side finance partnering experience in either a self-serve/PLG funnel or an enterprise/SLG demand generation motion, plus a strong working understanding of the other. - 📈 Funnel and channel economics: You are fluent in CAC and CAC payback by channel and motion, blended versus paid CAC, CLV/CAC, pipeline attribution, funnel conversion, and velocity. - 🧭 Judgment on unattributable spend: You have built and defended investment cases for brand, community, content, or similar spend that will never attribute cleanly to a closed deal. - 💶 Program spend ownership: You are comfortable owning a budget weighted toward program spend, including commitments, phasing, agency costs, vendor economics, and reallocations. - 🧮 Financial modeling: You build sophisticated, integrated financial models that remain robust as assumptions, scenarios, and operating inputs change. - 🗣️ Executive communication: You translate complex analysis into clear recommendations and are comfortable presenting to Marketing leadership, executives, and board audiences when needed. - 🤖 AI- and automation-first mindset: You naturally use AI and automation platforms such as n8n to improve the quality, speed, and repeatability of your planning, reporting, and analysis. NICE-TO-HAVES - 🔄 PLG + SLG fluency: You have deep experience across both product-led and sales-led demand motions rather than primarily one. - 🧑‍💻 Developer-focused environment: You have worked at a community-led, open-source, or developer-focused product company. - 🧪 Incrementality & experimentation: You have exposure to incrementality testing, holdout design, or marketing mix modeling. - 🛠️ Marketing & RevOps tooling: You have experience consuming data from tools such as HubSpot or Marketo, GA4, attribution platforms, and Salesforce. - 📋 Planning platforms: You have worked with financial or headcount planning platforms such as Pigment in complex, multi-entity, or multi-stakeholder environments. - 🧑‍🔬 Data self-sufficiency: You are comfortable using SQL and building your own views in tools such as Looker, Metabase, or Hex rather than waiting on a Data team. - ⚙️ Relevant SaaS domain experience: You have worked in workflow automation, developer tools, or infrastructure SaaS. Why join us? At n8n, you’ll own the financial view of one of the most important joins in our growth engine: where community, product-led adoption, and enterprise demand generation meet. You’ll work closely with Marketing leadership and counterpart FP&A Managers covering the PLG and SLG bottom of funnel, giving you visibility across the full commercial plan and real influence over how we allocate one of our largest discretionary investments. You’ll join a fast-growing, remote-first company where finance is expected to help shape decisions, not simply report on them. As n8n expands the opportunity around AI agent orchestration and helps businesses unlock measurable ROI through automation, you’ll help build the planning discipline, investment frameworks, and automation-first finance practices that support our next stage of growth. Sound like a challenge you’re excited to take on? Apply now — and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement. We are looking for a BA to join a team that develops high-load services for video streaming, both on the server side and on the UI side. Responsibilities Requirements Elicitation & Specification: Gather and validate requirements with stakeholders; translate them into clear, testable artifacts (epics/features, user stories/use cases, acceptance criteria, business rules, edge cases, etc.). Use appropriate modeling (flows, state/decision logic, process models) when it improves clarity. Requirements Lifecycle Management: Maintain requirements throughout delivery — manage changes, document decisions and assumptions. Knowledge Base Ownership: Create and maintain a structured, searchable knowledge base for product behavior and business rules; ensure documentation is accurate, current, and consistently organized. Cross-functional Communication & Alignment: Serve as the primary bridge between Product and Engineering; drive alignment across Product, Design, QA, and Tech on scope, risks, dependencies, and constraints. Communicate complex logic with maximum clarity and minimal context loss. Quality & Validation Support: Support delivery quality by reviewing scenarios and acceptance criteria, collaborating with QA, and participating in validation of shipped features against intended requirements. AI-Assisted Analysis: Use AI tools (LLMs) to improve speed and quality of BA work (drafting and refining requirements, consistency checks, scenario generation, documentation maintenance), while applying rigorous verification and maintaining accountability for correctness. You’ll thrive here if you have Experience: 5+ years as a Business Analyst in product development, working closely with cross-functional delivery teams. Strong BA Craft: Demonstrated ability to structure ambiguous problems, define business rules, and produce clear, testable requirements with appropriate depth. Analytical Speed: Ability to quickly understand existing complex product logic, identify gaps and risks, and document behavior in a way that is usable by both technical and non-technical stakeholders. Documentation Excellence: Strong, structured writing skills; ability to create documentation that is concise, consistent, and easy to navigate and maintain over time. AI Proficiency: Practical experience using modern AI/LLM tools in day-to-day analysis work to increase throughput and improve quality (not just basic prompting). Stakeholder Management: Ability to influence without authority, facilitate discussions, and drive decisions in a fast-paced environment with changing priorities. English: Upper-Intermediate (B2) or higher; documentation and discussions are conducted in English. Conditions We know that great talent deserves great conditions, so here’s what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence. Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family. Corporate mobile plan (unlimited in Cyprus with roaming included). Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Benefits are provided in accordance with the company’s policies and eligibility criteria. Recruitment process HR interview (40 min); Test task; Technical interview (1.5 hours); Final interview (1 hour); Recommendations check; Job Offer.

Location: Bogotá, Colombia; Mexico City, Mexico; Panama City, Panama; Brazil Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You Will Do: Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution Plan and design simple to semi-complex business processes and system modifications Make recommendations to improve and support business activities Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design Develop business requirements documents/user stories to support the required modifications May plan, allocate and monitor work of other business analysts Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills Assist in providing time estimates for project related tasks Aid in updating process and procedural documentation Develop basic understanding of technical development cycle of mobile application or web portals Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc. Any other task that may be assigned What We Need: Minimum 5 years of experience as Business Analyst A degree in Business, IT or any relevant field Previous experience working in the insurance industry is required Health Insurance-related domain certification from INS/LOMA or III is an added advantage Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes Experience in an Agile and/or Scrum environment is a must Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow Excellent written and verbal communication skills in English Technical writing skills are a plus Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Georgia; Portugal; Vietnam; Poland Key Responsibilities Design and implement BPMN processes and DMN decision tables in Camunda 8 for customer support automation (both greenfield and ongoing improvements). Configure and maintain logic and prompts in no-code AI platforms, such as call flow schemes for voice bots, LLM (language model) classifiers, and other AI-driven tools. Support and debug active automation scenarios in Camunda Operate; deliver quick fixes and continual improvements in production environments. Integrate processes with internal and external systems via REST API, JSON, and message brokers (Kafka). Collaborate cross-functionally with product, technical, and analytics teams. Continuously adopt and champion new technologies, AI integrations, and promote a culture of automation across the organization. Requirements 3+ years of hands-on experience with production BPM engines, including end-to-end design and deployment of executable BPMN/DMN processes. Solid experience with Camunda 7/8 in production environments. Expert knowledge of BPMN 2.0, DMN, and FEEL. Proven experience in integrations via REST API, JSON, and message brokers (Kafka). Understanding and interest in modern AI/LLM solutions (for business process integration). Ability to independently gather and clarify technical requirements, working closely with both business stakeholders and technical teams. Communication skills and willingness to collaborate and share expertise. Nice-to-have Automation experience in customer support or operational business teams. Experience specifying API and integration requirements. SQL skills for data validation and process behavior analysis. Experience with prompt engineering and no-code/low-code AI platforms. Benefits Flexible schedules and opportunity to work remotely. Ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: https://www.emergingtravel.com/career/hr-policy/

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re hiring a Data Scientist to help build and scale our internal analytics capabilities. This is a foundational role where you’ll create dashboards, models and insights to power business and product teams alike. You’ll collect requirements, define key metrics, and deliver recommendations directly to stakeholders. You'll define what success looks like across a technical, usage-based platform and turn ambiguous questions into analyses, forecasts, and experiments that shape Baseten’s product and strategy. RESPONSIBILITIES - Build and maintain production-grade models and dashboards across multiple functions with a focus on accuracy, simplicity and user experience. - Define and instrument core metrics around capacity, availability, ROI, product adoption, revenue and costs. - Ingest and transform raw data using tools like dbt, Airbyte, and Databricks. - Partner with Engineering, Finance, Marketing, and Sales teams to understand goals and translate them into data solutions - Analyze product, operational and commercial data to identify opportunities, quantify tradeoffs, and influence product and GTM priorities. - Present findings and recommendations to technical and nontechnical audiences, including company leaders. REQUIREMENTS - 5+ years of experience in analytics, BI, or data engineering roles - Strong SQL skills with the ability to write complex queries for data transformation and analysis - Experience designing medallion data architectures, including raw, conformed, and business-ready models with testing, documentation, and lineage. - Excellent communication skills and a collaborative approach to working with cross-functional teams - Demonstrated ability to explain complex work and make clear recommendations to technical and business audiences. NICE TO HAVE - Experience with AI infrastructure, developer platforms, or inference. - Hands-on forecasting expertise, including ARIMA, Prophet, or comparable time-series methods, with disciplined backtesting, error analysis, and scenario planning. - Working knowledge of model-serving and training workflows and the infrastructure metrics that shape performance and cost. - Practical experimentation experience, including test design, power analysis and knowing when directional evidence is sufficient to act. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Chicago, IL WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU We are seeking a Senior Compensation Analyst to join our People Operations, Intelligence, and Total Rewards (POINTR) team . In this key role reporting to the Global Compensation & People Analytics Director, you will serve as the primary analytical engine for the compensation team while driving core projects across annual compensation cycles and POINTR initiatives. You will lead complex financial modeling, manage program execution, leverage modern AI tools to optimize workflows and deliver data-backed insights to support Box’s continued growth. WHAT YOU'LL DO Conduct annual and ad-hoc market pricing to evaluate and maintain global salary bands, equity ranges, geographic pay differentials, and total cash target compensation. Model equity burn rates, dilution, overhang, and run-rate projections in collaboration with Finance/Accounting and Legal. Perform statistical and ad-hoc quantitative analyses to forecast costs, model compensation scenarios, and deliver data-backed recommendations to leadership and People Partners. Design executive-level dashboards and reporting tools to translate raw compensation data into clear, actionable business insights. Ensure compliance with global and local pay transparency legislation, reporting standards (e.g., EU Pay Transparency Directive, state-level US wage transparency laws), and audit requirements. Assist with compensation planning tool setup by running test scenarios, verifying calculation formulas, and validating budget allocation rules. Clean employee data, audit eligibility, and assist with compensation system testing and rule validation ahead of launch. Provide ongoing support during compensation planning cycles to People Partners and other key stakeholders. Conduct final data integrity checks, generate compensation statements, and prepare files to finalize cycle Leverage Excel and permitted AI tools to streamline modeling workflows, troubleshoot complex formulas, and accelerate analytical insights in compliance with data privacy policies. Partner closely with People Partners, Recruiting, Stock Administration, and Finance to streamline cross-functional workflows and governance. Utilize AI to draft and refine clear compensation communications, manager training resources, and self-service enablement guides. Continuously identify opportunities to integrate AI and automated workflows into team processes to increase efficiency, scalability, and to solve real business questions. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. Bachelor’s degree in Finance, Economics, Statistics, HR, Business, or equivalent practical experience. 4–5 years of strong analytical experience building complex financial, statistical, or compensation models in Excel. Familiarity with and enthusiasm for leveraging leading AI models and prompt engineering to enhance productivity, data analysis, and documentation where data policies permit. Solid understanding of compensation mechanics (broad-based pay, incentive structures, and equity compensation). Proficiency with Workday and compensation benchmarking/survey tools (e.g., Radford, Pave, Syndio, or similar). Analytical thinker who combines data-driven rigor with organizational context to create actionable insights. Innovative problem-solver eager to embrace AI tools and technology to eliminate manual work and scale impact. Highly organized and detail-oriented, with the ability to manage multiple priorities and meet project deadlines with high-quality execution. Strong communicator capable of conveying complex quantitative findings and project updates with clarity and ease. Team-first attitude. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-Hybrid Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Chicago Pay Range $85,500 — $107,000 USD

Location: Lisbon Workplace: hybrid Spin.AI is a global SaaS cybersecurity company that protects mission-critical data across Google Workspace, Microsoft 365, Salesforce and Slack. Our product – SpinOne unifies SSPM, ransomware protection, DLP, backup & recovery in one platform trusted by enterprise customers worldwide.   As our platform evolves and new features are delivered faster, the volume of manual testing has increased. To keep our quality standards high and ensure stable releases, we are looking for a Middle Manual QA Engineer who takes real ownership of product quality. We expect someone who thinks critically, challenges requirements, spots risks before they turn into incidents, and is comfortable diving into UI, APIs, databases, and backend workflows. You will become part of a strong QA team of 7 engineers, including both Manual and Automation QA specialists, working closely together to maintain high product quality and continuously improve our testing processes.   This role is based in our Lisbon office in a hybrid format. If you are not currently in Portugal, we are open to remote work during the trial period, with relocation to Lisbon afterward. 🧰 Day-to-Day Responsibilities Perform manual testing across UI, APIs, integrations, and backend-driven workflows. Analyze requirements and acceptance criteria, proactively identifying risks and gaps together with PO/PM/Dev. Own and maintain test documentation in Zephyr: create, review, and update test cases and checklists; develop and manage test plans and test cycles; prepare test result reports when required. Validate data integrity and system behavior using database queries. Run and analyze automated test results to identify problem areas, support root-cause analysis, assist with prioritization, and align on next steps with the team. Review product documentation, analyze it critically, and suggest improvements. When needed, deliver short demos or walkthroughs to align with PO/PM 📌 Requirements 3+ years of manual QA experience in Web/SaaS products (CRM/eCommerce is a plus). Strong test design skills (exploratory, risk-based, negative scenarios, regression) and solid bug reporting. Web fundamentals: HTTP, DevTools (Network/Console), basic HTML/CSS, general understanding of Java. Databases are mandatory: understanding core DB concepts + hands-on verification using PostgreSQL. Practical understanding of test plan / test cycle / test case concepts and ability to apply them in Zephyr. Ability to read documentation, analyze it critically, and suggest changes. Critical thinking and initiative to uncover risks and non-obvious defects. English: Intermediate+. 🛠 Tooling (used daily) Jira — bug tracking, tasks, defect communication Zephyr — test management (test plans, test cycles, test cases, regression) Database tools (PostgreSQL) — data validation and verification via SQL queries Browser DevTools (Chrome/Firefox) — Network/Console for request / http analysis, UI behavior, errors Automated tests (CI / project runs) — running and reading results/logs to identify weak spots and support defect analysis and alignment on next steps with the development team Nice to have: Postman, Swagger, Confluence (or similar), AI tools for QA, Jenkins Nice-to-Have: REST API testing (Postman, Swagger). SQL beyond basics. Exposure to test automation (running tests, reading logs/reports). Experience using AI tools to improve QA efficiency. Knowledge of cloud platforms: AWS, GCP, and Azure (basic services, IAM/permissions, core cloud concepts). Java understanding (reading code / following logic is a plus). 🌍 Why Spin.AI Work in a fast-moving, high-impact cybersecurity company recognized by Gartner, Forrester, and G2 . Work on a real product with real users and visible business impact Work on an interesting and large-scale product Solve complex, non-trivial security and engineering challenges Opportunity to influence technical and product decisions Trust from management and autonomy in day-to-day work Strong, professional team with deep expertise 🎁 What we offer Annual performance-based salary review Annual performance-based bonus Referral bonuses Educational budget Sport & hobby compensation Medical insurance compensation Company presents (birthdays, anniversaries, weddings, etc.) Corporate travel parties twice a year

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst focused on Conventional Weapons, your work spans detecting and mitigating attempts to misuse Anthropic's AI systems to facilitate real-world harm, specifically utilizing conventional weapons and dangerous technology. You will be responsible for building and executing operational workflows to assess model behavior, drive enforcement decisions, and develop evals across a technically demanding range of policy areas. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, graphic, hateful, or psychologically disturbing nature. Key responsibilities Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy Develop and maintain evals that measure model performance on these policy areas, surface regressions, and inform policy and model improvements Partner with Engineering and Data Science to optimize detection and automated enforcement systems for potential policy violations Review flagged content to drive enforcement decisions and surface policy gaps, with particular attention to novel or technically sophisticated misuse attempts + emerging tactics Support the Safeguards policy design team by providing structured feedback on policy gaps and enforcement ambiguities based on real enforcement scenarios Develop and maintain enforcement guidelines and reviewer documentation that enable accurate, consistent enforcement across a wide range of content Keep up to date with emerging weapons trends and applications, regulatory changes, and AI policy enforcement best practices, and apply these to inform our workflows and evals Identify and escalate emerging misuse patterns, novel attack vectors, and signs of coordinated violent activity Minimum qualifications Have deep, applied expertise in weapons systems and can translate complex technical evidence to make enforcement decisions Experience in policy enforcement, threat intelligence, counterterrorism, government, or a closely related field, with direct exposure to harmful content, dangerous technology, or physical harm facilitation Experience standing up and scaling policy enforcement or content review workflows Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams Experience working with generative AI products, including writing effective prompts for content review and enforcement Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Preferred qualifications Subject matter expertise in conventional weapons and dangerous technology, autonomous systems, or critical infrastructure protection Familiarity with relevant legal and regulatory frameworks governing dangerous technology, conventional weapons, and critical infrastructure Experience developing evals or red-teaming AI systems, particularly for harmful content or policy enforcement use cases Experience with threat actor profiling and threat intelligence frameworks (e.g., MITRE ATT&CK) Experience tracking threat actors, extremist networks, or misuse patterns across surface, deep, and dark web environments Experience with large language models and an understanding of how AI technology could provide meaningful uplift toward serious harm Proficiency in Python for data analysis and workflow automation Background in law enforcement, national security, defense, counterterrorism, or a relevant regulatory environment Experience assessing the technical plausibility and real-world harm potential of content, including the ability to distinguish between general educational content and genuine operational uplift, and between protected speech and genuine incitement/mobilization Familiarity with cross-platform threat analysis and OSINT techniques 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: $245,000 — $285,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 City, NY | Seattle, WA 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 Anthropic's Tax team sits within Finance & Accounting and is responsible for the company's tax position as we grow quickly in the US and internationally. New entities and jurisdictions, intercompany arrangements, financing, acquired businesses, and large commercial and compute agreements all carry US international tax consequences, and those consequences are getting larger and more complex as the company scales. We are looking for an International Tax Director to join our Tax planning, M&A, and Policy team. Your core subject matter is the US international provisions, including subpart F, NCTI, FDDEI, BEAT, and the foreign tax credit, along with the subchapter C rules that govern how we form, fund, and structure entities. This is a hands-on technical role. You will write the memos behind your recommendations, review the models that support them, and see your projects through to implementation, often in areas where the facts are new to the company or the law has recently changed and guidance is still developing. Our M&A tax colleagues lead diligence and deal structure on transactions, and once a deal closes you will help work out how the acquired business fits into our international structure. You will also work closely with the colleagues who own the tax provision, compliance, and transfer pricing, and with Legal, Treasury, and Accounting. If you enjoy carrying hard technical questions through to implementation as part of a small team, we would like to hear from you. Key responsibilities Lead and support US international tax planning projects from initial analysis through implementation, and contribute to how the planning group identifies and prioritizes its work Analyze the US international tax consequences of business initiatives, including new entities and jurisdictions, intercompany arrangements, funding and repatriation, and cross-border commercial and compute agreements, and recommend how to structure them Perform and review technical analysis under subpart F, NCTI, BEAT, and the foreign tax credit rules, including expense allocation and apportionment and the interaction among these provisions Apply subchapter C to entity formations, contributions, distributions, liquidations, and internal reorganizations, including earnings and profits and stock basis analysis Define the assumptions and scenarios for models that quantify the cash tax and effective tax rate impact of planning alternatives, acquired structures, and legislative and regulatory changes; review those models for technical accuracy and provide input on them; and be accountable for the conclusions drawn from them Support the M&A tax team after closing by developing the step plans that integrate acquired entities into Anthropic's structure, reviewing the modeling of the alternatives, and leading follow-on planning for the combined structure Draft technical memoranda and maintain documentation that would support each planning position on examination, and work with the provision team on ASC 740 treatment, including uncertain tax positions Partner with tax compliance and transfer pricing so that your projects are reflected accurately in intercompany pricing, the provision, and the US international filings (Forms 5471, 8858, 8991, 8992, 1118, and related), and review the international portions of the US return as a subject matter expertise Scope, budget, and manage work performed by outside advisors on your projects, and review their deliverables Track US legislative and regulatory developments and OECD developments in your areas, assess their impact on our position, and share the analysis with the planning group and Finance leadership Work with the tax advisory team, Legal, Accounting, and Treasury to make sure approved planning and integration steps are implemented as designed, including intercompany agreements Support responses to IRS and other tax authority inquiries relating to positions you have worked on Minimum qualifications Have deep technical knowledge of the US international tax provisions, including subpart F, NCTI, BEAT, and the foreign tax credit rules, and have applied them in a planning context rather than in compliance alone Have working knowledge of subchapter C as it applies to multinational groups, including earnings and profits, stock basis, distributions, and internal reorganizations Have led tax planning projects end to end, including scoping, technical analysis, modeling, documentation, and implementation Understand how planning positions flow into transfer pricing, the ASC 740 provision, and the US international compliance forms Can research a technical question in the Code, regulations, and administrative guidance and write a clear, well supported memorandum Can review a tax model built by someone else, identify where the technical assumptions or mechanics are wrong, and explain what needs to change Have managed outside advisors, including scoping work, managing budgets, and reviewing their output Can run several projects at once with different internal owners and keep each of them moving Can reach a defensible recommendation when the facts are incomplete or the guidance is unsettled, and can explain the remaining uncertainty Communicate technical tax conclusions clearly to people who are not tax specialists, and work well with colleagues in Legal, Accounting, and Treasury Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications CPA, JD, or LLM in taxation 15+ years of extensive US international tax experience, for example a combination of public accounting or law firm practice and an in-house role at a multinational technology company Experience with post-acquisition integration planning, including step plans and modeling for bringing acquired entities into an existing international structure Direct experience with transfer pricing, Pillar Two, or the FDDEI deduction and how they interact with the US international provisions Familiarity with the tax rules of the non-US jurisdictions where a US technology company typically operates Have working knowledge of partnership tax as it applies to multinational groups, including the formation and funding of joint ventures, allocations and distributions, and how partnership structures interact with the US international provisions Experience planning around large cross-border commercial arrangements, such as cloud, compute, or licensing agreements, or standing up entities in new jurisdictions Experience with infrastructure or capital-intensive investments, such as data centers, energy, or similar assets, including joint venture and financing structures Experience supporting an IRS examination of international positions Experience at a company that scaled significantly, or built out its international structure, during your tenure Have built or reviewed US international tax models yourself, which tends to make review faster and more precise Have used Claude or similar tools in tax research, modeling, or documentation, and have views on where they help and where they do not Have mentored or developed other tax professionals 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: $300,000 — $385,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Workplace: Hybrid ABOUT THE ROLE We are seeking a Strategic Finance Lead for our GPU compute fleet. In this role, you will be a key partner to our inference and infrastructure teams, providing financial expertise to optimize our compute investments and drive capacity decisions. In this role, you'll develop deep expertise in the economics of AI compute, from token-level serving cost to the long-range financial planning of our GPU fleet. You'll build the models that inform Perplexity's capacity and make-versus-buy decisions, own the internal-cost analysis that underpins internal and external token pricing, and translate complex infrastructure dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and infrastructure, and who is energized by building frameworks from scratch in a fast-moving environment. This position is based in San Francisco and requires in-person attendance 2-3 days per week. KEY RESPONSIBILITIES - Finance lead for GPU compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance - Build and maintain detailed bottoms-up financial models for the GPU fleet, including capacity forecasts, cost driver analyses, and investment scenario modeling - Develop deep expertise in GPU vendor contracts, pricing structures, and cost drivers, and surface optimization opportunities across the fleet - Serve as subject matter expert for Perplexity's compute capacity plan, owning source of truth on utilization, committed-versus-consumed spend, and capacity by vendor and cluster - Build internal token-cost curves distinguishing marginal from fully loaded serving cost, and translate them into internal and external token pricing - Analyze the ROI of in-house inference and training, including opportunity cost across chip types, cluster configurations, and workloads, distilled into a framework for capacity deployment - Partner closely with inference and infrastructure engineering to understand how serving and training workloads scale, and translate those technical dynamics into financial frameworks YOU MAY BE A GOOD FIT IF YOU HAVE - Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models - Extraordinary problem-solving and critical thinking abilities to develop new frameworks for assessing utilization and capital efficiency in a rapidly evolving industry - Attention to detail and patience for getting to the source of truth on complex and interconnected contract and usage data - Comfort being the finance person in the room with engineering leads and vendor counterparts, and adept at communicating complex financial information to non-finance audiences - A proven track record of partnering with technical teams to drive financial optimization initiatives, building enough trust to become indispensable to their roadmap and resourcing decisions - A bias toward action, strong work ethic, and experience driving operational outcomes under tight timelines - Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers and cloud service providers PREFERRED QUALIFICATIONS - 4+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure or datacenter experience - Experience in cloud or GPU infrastructure financial management, including direct work with major cloud service providers or neoclouds - Direct experience with committed-use economics — reserved capacity, savings plans, committed-use discounts — and GPU procurement - Deep expertise in GPU vendor economics, contract structures, and pricing models - Experience with chip architecture economics and optimization strategies - Proficiency with financial modeling tools

Location: San Francisco Workplace: Hybrid ABOUT THE ROLE We are seeking a Strategic Finance Lead for our GPU compute fleet. In this role, you will be a key partner to our inference and infrastructure teams, providing financial expertise to optimize our compute investments and drive capacity decisions. In this role, you'll develop deep expertise in the economics of AI compute, from token-level serving cost to the long-range financial planning of our GPU fleet. You'll build the models that inform Perplexity's capacity and make-versus-buy decisions, own the internal-cost analysis that underpins internal and external token pricing, and translate complex infrastructure dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and infrastructure, and who is energized by building frameworks from scratch in a fast-moving environment. This position is based in San Francisco and requires in-person attendance 2-3 days per week. KEY RESPONSIBILITIES - Finance lead for GPU compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance - Build and maintain detailed bottoms-up financial models for the GPU fleet, including capacity forecasts, cost driver analyses, and investment scenario modeling - Develop deep expertise in GPU vendor contracts, pricing structures, and cost drivers, and surface optimization opportunities across the fleet - Serve as subject matter expert for Perplexity's compute capacity plan, owning source of truth on utilization, committed-versus-consumed spend, and capacity by vendor and cluster - Build internal token-cost curves distinguishing marginal from fully loaded serving cost, and translate them into internal and external token pricing - Analyze the ROI of in-house inference and training, including opportunity cost across chip types, cluster configurations, and workloads, distilled into a framework for capacity deployment - Partner closely with inference and infrastructure engineering to understand how serving and training workloads scale, and translate those technical dynamics into financial frameworks YOU MAY BE A GOOD FIT IF YOU HAVE - Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models - Extraordinary problem-solving and critical thinking abilities to develop new frameworks for assessing utilization and capital efficiency in a rapidly evolving industry - Attention to detail and patience for getting to the source of truth on complex and interconnected contract and usage data - Comfort being the finance person in the room with engineering leads and vendor counterparts, and adept at communicating complex financial information to non-finance audiences - A proven track record of partnering with technical teams to drive financial optimization initiatives, building enough trust to become indispensable to their roadmap and resourcing decisions - A bias toward action, strong work ethic, and experience driving operational outcomes under tight timelines - Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers and cloud service providers PREFERRED QUALIFICATIONS - 4+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure or datacenter experience - Experience in cloud or GPU infrastructure financial management, including direct work with major cloud service providers or neoclouds - Direct experience with committed-use economics — reserved capacity, savings plans, committed-use discounts — and GPU procurement - Deep expertise in GPU vendor economics, contract structures, and pricing models - Experience with chip architecture economics and optimization strategies - Proficiency with financial modeling tools

Location: Colombia We are looking for a Senior Business Analyst to join the AML team in Colombia . Our AML system is live and covers what the bank needed to launch, and the next stage is to take it further: adapt it to credit, debit, and upcoming product scenarios, and build AML mechanics that reflect how the Colombian market actually works. In this role, you will dive deep into the existing system, design processes yourself, define requirements, and coordinate changes across a large group of stakeholders. You will work at the intersection of Compliance, Origination, credit and debit products, engineering, analytics, and operations, with direct impact on how AML works across the bank's products. Challenges that await you: Developing and adapting AML processes for the Colombian market: sanctions and PEP screening, transaction monitoring, case management, and suspicious activity reporting Defining requirements for AML scenarios across credit, debit, and new banking products Getting deep into the existing AML system and designing new processes end to end Writing business requirements, user stories, and acceptance criteria, and supporting implementation through development, UAT, and release Owning the health metrics of AML processes: registration conversion, the volume of customer contacts, case processing time, and the timeliness of regulatory reporting Analyzing registration-step conversion and the reasons behind customer contacts, and turning the findings into a prioritized backlog Working closely with Compliance Officers, Origination, and product teams to align AML requirements with product goals and customer experience Coordinating a large number of internal stakeholders and communicating status and risks to management Prioritizing initiatives and managing the backlog for the AML area What makes you a great fit: 4+ years of experience as a Business Analyst in fintech, banking, or another regulated environment A track record of owning a large area or a significant part of a product end to end — as a senior analyst or the only analyst driving a direction Ability to get into the technical side independently and understand how systems and processes are built Experience documenting requirements (BRDs, user stories, use cases) and modelling business processes (BPMN 2.0, UML) Strong cross-functional experience: working with many stakeholders and communicating directly with management, including above your immediate level Familiarity with prioritization frameworks (RICE, WSJF, MoSCoW) and backlog management Experience with Jira, Confluence, and Miro; basic SQL or spreadsheet skills for data validation B2 or higher English level for effective communication with an international team Your bonus skills: Experience in AML, anti-fraud, or financial crime prevention Experience launching or localizing a compliance framework in a new jurisdiction Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to Colombia with assistance for the employee and their family Flexible work from our office Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

Location: New York Workplace: Hybrid LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? ABOUT THE ROLE: We are seeking a highly analytical, results-driven Senior FP&A Analyst to join our Corporate FP&A team. This role sits at the intersection of financial planning, investor relations analytics, and strategic finance, with direct exposure to M&A evaluation, capital markets communications, and top-line performance modeling for a public SaaS company. You will work closely with senior leadership and the CFO's office to shape how the company communicates its financial story to the Street, the Board, and prospective transaction counterparties. WHAT YOU WILL DO AT UIPATH: • Help design and maintain a long-term financial model projecting UiPath's future fiscal year top-line metrics, including ARR movements such as new business, expansion, contraction, and churn, with sensitivity analysis suitable for board and investor scenarios. • Build and refine SaaS valuation and benchmarking frameworks (ARR growth, NRR/DBNRR, Rule of 40, magic number, CAC/LTV) to support investor relations messaging and peer comparisons against public SaaS and enterprise software comparables. • Support M&A activity including target screening, financial due diligence, accretion/dilution and synergy modeling, and integration of acquired ARR and revenue streams into consolidated top-line forecasts. • Create and implement innovative forecasting methodologies across a variety of top- line models, adaptable to inorganic growth scenarios and changes in business mix. • Analyze KPIs related to product and sales performance, developing new analyses to assess business health and translate operating metrics into the language used by equity analysts and institutional investors. • Prepare board decks, earnings materials, and investor relations presentations, working with IR and the CFO to ensure numbers translate cleanly into external narrative on a monthly and quarterly cadence. • Own quality assurance on all board-level and external financial communications, ensuring consistency between internal models, public disclosures, and any transaction-related materials. • Partner cross-functionally with Corporate Development, Treasury, and Legal on deal-related financial analysis as M&A opportunities arise. WHAT YOU WILL BRING TO THE TEAM: • Bachelor's degree in Finance, Accounting, Business, Economics, or related field; 2- 4 years of relevant experience in FP&A, investment banking, equity research, corporate development, or transaction advisory. • Strong financial modeling skills, including exposure to SaaS metrics (ARR, NRR/DBNRR, billings, FCF) and M&A analysis (valuation, accretion/dilution, synergy modeling) a plus. • Mastery of MS Office (Excel, PowerPoint), with demonstrated ability to build complex, audit-ready financial models under tight deadlines. • Strong written and oral communication skills, with the ability to translate quantitative analysis into clear, board- and investor-ready narrative. • Organized, analytical, motivated, curious, resourceful, flexible, and collaborative, with the judgment to handle market-sensitive and confidential information. • A self-starter with a proactive attitude who seeks out opportunities for themselves and the team. • Strong project and time management skills, comfortable operating in a fast-paced, deadline-driven, publicly-traded company environment. #LI-BS1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.