{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/unit-economics"},"x-facet":{"type":"skill","slug":"unit-economics","display":"Unit Economics","count":9},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ca38c08d-e8f"},"title":"Staff Data Scientist - Marketing Analytics","description":"<p>Join us to build the measurement and decision engine for patient growth.</p>\n<p>As a Staff Data Scientist, Marketing Analytics, you will be the senior analytical and strategic leader who makes marketing performance legible, credible, and actionable. You will partner closely with Growth Marketing leadership and channel owners across paid, lifecycle, and organic, plus Finance, Product, and Engineering.</p>\n<p>Your job is to help Headway answer the questions that matter:</p>\n<ul>\n<li>What is truly incremental?</li>\n</ul>\n<ul>\n<li>Where should we invest next?</li>\n</ul>\n<ul>\n<li>What is driving performance shifts?</li>\n</ul>\n<ul>\n<li>How do we scale what works without fooling ourselves?</li>\n</ul>\n<p>You will build the frameworks, analyses, and modeling approaches that enable the marketing team to move faster with confidence. This is high-stakes decision support for a growth engine that needs to compound and certainly not a dashboard-only role or “just attribution” role.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own incrementality measurement across channels. Design and analyze geo tests, holdouts, lift tests, and quasi-experimental approaches when randomized tests are not feasible. Define clear guardrails, decision rules, and what “good” looks like.</li>\n</ul>\n<ul>\n<li>Build a marketing measurement system that leaders trust. Define canonical metrics (CAC, LTV, payback, conversion, retention, capacity-adjusted ROI), ensure definitions are consistent, and create a clear measurement narrative that aligns Marketing, Finance, and Product.</li>\n</ul>\n<ul>\n<li>Turn ambiguity into a plan. When performance changes, you will diagnose why, quantify contributing drivers, and recommend concrete actions. You will be the person who can say, “Here’s what moved, here’s why we believe it moved, and here’s what we do next.”</li>\n</ul>\n<ul>\n<li>Develop and evolve modeling approaches where they create leverage. Build practical models such as LTV and retention forecasting, cohort value prediction, causal uplift models for lifecycle, and marketing mix modeling when appropriate. Focus on models that survive contact with reality: calibration, backtesting, and decision usefulness.</li>\n</ul>\n<ul>\n<li>Partner with Engineering on the measurement plumbing. Improve event instrumentation, identity resolution assumptions, offline conversion integration, and data quality monitoring so measurement is robust. Advocate for minimal, decision-critical requirements that unlock reliable learning.</li>\n</ul>\n<ul>\n<li>Design learning loops that scale. Create repeatable experimentation and analysis templates for channel and creative testing, including measurement of message by audience by surface. Increase testing velocity without lowering the truth standard.</li>\n</ul>\n<ul>\n<li>Influence strategy, not just reporting. Bring an evidence-based point of view on channel allocation, growth constraints, saturation, diminishing returns, and the tradeoffs between short-term acquisition and long-term retention and care outcomes.</li>\n</ul>\n<ul>\n<li>Uplevel the team. Mentor analysts and data scientists working on growth, set quality standards, and help establish best practices across experimentation, causal inference, and forecasting.</li>\n</ul>\n<p>What will make you successful:</p>\n<ul>\n<li>10+ years using data science, analytics, and experimentation to drive decisions in marketing, growth, or marketplace environments (or equivalent scope and demonstrated impact).</li>\n</ul>\n<ul>\n<li>Deep expertise in causal inference and incrementality in real-world marketing systems: you know the failure modes (selection bias, channel cannibalization, platform noise, attribution myths) and how to design around them.</li>\n</ul>\n<ul>\n<li>Strong SQL plus strong proficiency in Python or R, with the ability to build reliable, reusable analytical workflows.</li>\n</ul>\n<ul>\n<li>Practical modeling skill, especially as applied to marketing and growth: cohorting, forecasting, LTV estimation, saturation and diminishing returns, MMM concepts, calibration and monitoring.</li>\n</ul>\n<ul>\n<li>Track record of influencing executive decisions with clear recommendations and measurable outcomes, not just analysis.</li>\n</ul>\n<ul>\n<li>Excellent communication: you can make complex measurement logic understandable and defensible to non-technical partners, and you can call out uncertainty without losing momentum.</li>\n</ul>\n<ul>\n<li>High ownership and strong judgment: you prioritize what changes decisions, you move quickly, and you know when to slow down because the risk is real.</li>\n</ul>\n<ul>\n<li>You are motivated by the mission. Access and affordability in mental healthcare are not abstract problems here.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience with geo experiments, marketplace constraints, or capacity-aware marketing optimization.</li>\n</ul>\n<ul>\n<li>Experience measuring acquisition quality beyond conversion: downstream engagement, retention, clinical matching quality, and unit economics.</li>\n</ul>\n<ul>\n<li>Familiarity with lifecycle marketing measurement (incrementality, uplift, experimentation design for messaging).</li>\n</ul>\n<ul>\n<li>Experience partnering with Finance on budget allocation, payback, and scenario planning.</li>\n</ul>\n<ul>\n<li>Comfort working with imperfect identity, privacy constraints, and evolving attribution ecosystems.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ca38c08d-e8f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Headway","sameAs":"https://www.headway.com/","logo":"https://logos.yubhub.co/headway.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/headway/jobs/5751646004","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$212,000 - $265,000","x-skills-required":["data science","analytics","experimentation","marketing","growth","SQL","Python","R","causal inference","incrementality","modeling","forecasting","LTV estimation","saturation","diminishing returns","MMM concepts","calibration","monitoring"],"x-skills-preferred":["geo experiments","marketplace constraints","capacity-aware marketing optimization","acquisition quality","downstream engagement","retention","clinical matching quality","unit economics","lifecycle marketing measurement","uplift","experimentation design for messaging","budget allocation","payback","scenario planning"],"datePosted":"2026-04-18T15:57:07.522Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Healthcare","skills":"data science, analytics, experimentation, marketing, growth, SQL, Python, R, causal inference, incrementality, modeling, forecasting, LTV estimation, saturation, diminishing returns, MMM concepts, calibration, monitoring, geo experiments, marketplace constraints, capacity-aware marketing optimization, acquisition quality, downstream engagement, retention, clinical matching quality, unit economics, lifecycle marketing measurement, uplift, experimentation design for messaging, budget allocation, payback, scenario planning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":212000,"maxValue":265000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_059cb977-144"},"title":"Lead FP&A Analyst, Consolidations","description":"<p>The Squarespace Finance team is seeking a Lead Financial Analyst to serve as a go-to expert in FP&amp;A Consolidations. This individual will report to the FP&amp;A Manager and will be responsible for a wide range of financial tasks with a focus on complex analyses.</p>\n<p>The Lead Analyst will lead the budgeting and forecasting processes, provide strategic financial insights, and mentor junior analysts. They will collaborate with senior management on financial strategy and take the lead on significant aspects of financial planning and analysis. This role requires a high degree of independence and proactive problem-solving.</p>\n<p>Key responsibilities include leading the budgeting and forecasting processes, building and scaling complex models, managing financial analyses, consolidating financial data, drawing and presenting strategic insights, fostering business relationships, mentoring junior analysts, and actively contributing to strategic discussions.</p>\n<p>The ideal candidate will have 6-7+ years of experience in financial planning &amp; analysis or related roles, a Bachelor&#39;s degree in Finance or equivalent experience, expertise in financial analysis techniques and advanced financial modeling, and mastery of Excel, including the ability to build and maintain complex spreadsheets.</p>\n<p>They will also have experience with NetSuite Planning and Budgeting, or similar financial planning tool, deep experience with the three major financial statements and a deep understanding of P&amp;L components and unit economics, comfort working with C-suite executives and presenting financial information to senior executives, leadership and mentoring skills, and excellent communication skills.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_059cb977-144","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Squarespace","sameAs":"https://www.squarespace.com/about/careers","logo":"https://logos.yubhub.co/squarespace.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/squarespace/jobs/7677351","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$126,500 - $165,000 USD","x-skills-required":["Financial planning and analysis","Advanced financial modeling","Excel","NetSuite Planning and Budgeting","Financial statement analysis","P&L components and unit economics","Leadership and mentoring skills","Excellent communication skills"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:55:24.608Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"Financial planning and analysis, Advanced financial modeling, Excel, NetSuite Planning and Budgeting, Financial statement analysis, P&L components and unit economics, Leadership and mentoring skills, Excellent communication skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":126500,"maxValue":165000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5c6cb22b-7f8"},"title":"Compute Cost of Revenue Accountant","description":"<p>We are seeking a Compute Cost of Revenue Accountant to join our Accounting team at Anthropic. In this role, you will own the financial accounting, allocation, and reporting for compute-related Cost of Revenue (COR). As Anthropic scales its AI infrastructure, accurate COR accounting and cost allocation are critical to understanding the economics of our products and informing strategic investment decisions.</p>\n<p>You will develop and refine allocation methodologies, implement and maintain accounting policies for overhead and direct cost attribution, and ensure proper COR classification across our expanding product suite. Compute is the largest expense category at Anthropic and is critical to understanding the gross margin of our business. This is an opportunity to build foundational accounting processes at a company operating at the frontier of AI.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own end-to-end Cost of Revenue accounting for compute-related costs, ensuring accurate classification, reporting, and month-end close activities</li>\n<li>Design, implement, and maintain COR allocation methodologies that accurately attribute overhead and direct costs to product lines and business segments</li>\n<li>Build and manage ERP allocation schedules to automate cost distribution and ensure consistency across reporting periods</li>\n<li>Scope and formulate accounting policies governing how infrastructure costs are allocated to Cost of Revenue vs. Operating Expenses</li>\n<li>Partner with Finance &amp; Strategy to analyze COR trends, gross margin impacts, cost efficiency metrics, and unit economics</li>\n<li>Collaborate with data engineering and analytics teams to build and refine COR data pipelines, validate data quality, and improve reporting accuracy</li>\n<li>Develop scalable processes to support rapid growth in compute infrastructure spend while maintaining strong internal controls</li>\n<li>Prepare variance analysis comparing actual COR to budget and forecast, investigating and explaining significant fluctuations</li>\n<li>Support external audit requirements related to COR, cost allocations, and related accounting policies</li>\n<li>Prepare management reports and supporting schedules for COR, gross margin, and cost allocation analysis</li>\n<li>Work cross-functionally with Capital Efficiency, Infrastructure, and Product teams to understand compute cost drivers and improve allocation accuracy</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 8+ years of progressive accounting experience with meaningful exposure to cost accounting and Cost of Revenue</li>\n<li>Hold a Bachelor’s degree in Accounting or Finance; CPA or equivalent preferred</li>\n<li>Demonstrate experience with COR and COR allocation methodologies, including overhead and direct cost attribution</li>\n<li>Have hands-on experience working with ERP allocation schedules and automated cost distribution</li>\n<li>Show ability to scope and formulate accounting policies for allocating costs to COR</li>\n<li>Are proficient in financial analysis and comfortable working with large datasets</li>\n<li>Be familiar with gross margin analysis and unit economics</li>\n<li>Have a builder mindset,comfortable creating processes from scratch in a fast-paced environment</li>\n<li>Exhibit strong organizational skills and attention to detail</li>\n</ul>\n<p>Strong candidates may also:</p>\n<ul>\n<li>Have experience with NetSuite or Workday ERP systems</li>\n<li>Possess SQL skills for querying and analyzing cost datasets</li>\n<li>Understand compute infrastructure cost structures and cloud economics</li>\n<li>Have experience at a technology company with consumption-based revenue models</li>\n<li>Show genuine curiosity about AI technology and the infrastructure that supports it</li>\n<li>Demonstrate proficiency with AI-assisted tools for enhancing financial analysis</li>\n<li>Have experience with cross-charge or intercompany allocation processes</li>\n</ul>\n<p>Annual compensation range for this role is $190,000-$230,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5c6cb22b-7f8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5128198008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000-$230,000 USD","x-skills-required":["Cost accounting","Financial analysis","ERP allocation schedules","Accounting policies","Gross margin analysis","Unit economics"],"x-skills-preferred":["NetSuite","Workday","SQL","Compute infrastructure cost structures","Cloud economics","AI-assisted tools"],"datePosted":"2026-04-18T15:36:39.884Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"Cost accounting, Financial analysis, ERP allocation schedules, Accounting policies, Gross margin analysis, Unit economics, NetSuite, Workday, SQL, Compute infrastructure cost structures, Cloud economics, AI-assisted tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":230000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a1b272e8-5be"},"title":"Director, GTM Finance","description":"<p>We&#39;re hiring a GTM Finance leader to architect the revenue engine,bookings to revenue forecasting, pipeline health, conversion, capacity models (RREs), unit economics, pricing, and margins,while building the automated systems that let our teams operate with speed and clarity.</p>\n<p>Scaling a company like this requires financial systems that are as fast, accurate, and durable as the technology we deploy. We build autonomous systems for national security and critical infrastructure.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own the bookings→revenue engine and forecast the business with operational truth.</li>\n<li>Build GTM capacity + productivity models (RREs, coverage, magic number, CAC).</li>\n<li>Instrument pipeline health and conversion across segments and deal types.</li>\n<li>Stand up GTM Finance systems (Anaplan, ERP, CRM, BI) with real automation.</li>\n<li>Partner with GTM, Product, and Programs to align investment with mission outcomes.</li>\n<li>Lead and grow a high-performance GTM Finance team.</li>\n</ul>\n<p>Required qualifications:</p>\n<ul>\n<li>12+ years in FP&amp;A and GTM Finance business partnership supporting Sales/Capture/BD and Marketing.</li>\n<li>Owned the bookings→revenue engine and forecast the business with operational truth.</li>\n<li>Built GTM capacity + productivity models (RREs, coverage, magic number, CAC).</li>\n<li>Instrumented pipeline health and conversion across segments and deal types.</li>\n<li>Stood up GTM Finance systems (Anaplan, ERP, CRM, BI) with real automation.</li>\n<li>Partnered with GTM, Product, and Programs to align investment with mission outcomes.</li>\n<li>Lead and grow a high-performance GTM Finance team.</li>\n</ul>\n<p>Preferred qualifications:</p>\n<ul>\n<li>Experience in defense, aerospace, robotics, autonomy, or deep tech.</li>\n<li>Knowledge of government contract structures (OTA, IDIQ, CPFF/CPIF, FFP) and program accounting; ASC 606 for milestone-based programs.</li>\n<li>Understanding of hardware production ramps and manufacturing scale.</li>\n<li>Strong data fluency across dashboards, data models, and ERP/CRM/BI integrations.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a1b272e8-5be","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/dfb33eb9-8789-406d-ab9d-34b265223cf4","x-work-arrangement":"onsite","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$160,000 - $250,000 a year","x-skills-required":["Anaplan","ERP","CRM","BI","FP&A","GTM Finance","Pipeline health","Conversion","Capacity models","Unit economics","Pricing","Margins"],"x-skills-preferred":["Defense","Aerospace","Robotics","Autonomy","Deep tech","Government contract structures","Program accounting","Hardware production ramps","Manufacturing scale","Data fluency"],"datePosted":"2026-04-17T13:04:17.126Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"Anaplan, ERP, CRM, BI, FP&A, GTM Finance, Pipeline health, Conversion, Capacity models, Unit economics, Pricing, Margins, Defense, Aerospace, Robotics, Autonomy, Deep tech, Government contract structures, Program accounting, Hardware production ramps, Manufacturing scale, Data fluency","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":160000,"maxValue":250000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c726913d-082"},"title":"Senior Manager, FP&A -Strategic Finance","description":"<p>We&#39;re building advanced autonomous systems for defence and commercial markets. Scaling a business like this requires world-class financial modelling, a deep understanding of how complex hardware + software companies create value, and the ability to turn complexity into clarity.</p>\n<p>We&#39;re hiring a Senior Manager, Strategic Finance to be the VP of FP&amp;A&#39;s analytical right-hand and the architect of our long-range financial model. You excel at building dynamic, accurate, scalable 3-statement models grounded in unit economics and operational drivers. You&#39;ve lived in Excel,investment banking, PE, hedge funds, equity research,and you bring a forward-looking mindset around leveraging cloud tools, automation, and analytics to elevate what modelling can do.</p>\n<p>This is the analytical engine of Strategic Finance, with a natural path to Investor Relations as the company scales.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Build the Company&#39;s Strategic Financial Model</li>\n<li>Own and build the fully integrated 3-statement model based on unit economics, KPIs, and industry benchmarks</li>\n<li>Lead the long-range plan (LRP) and multi-scenario modelling</li>\n<li>Tie operational drivers,production ramps, R&amp;D, contract timing, GTM,to financial outcomes</li>\n<li>Build valuation frameworks, sensitivities, and investor-grade outputs</li>\n<li>Maintain a forward-looking view on risks, opportunities, and strategic drivers</li>\n</ul>\n<ul>\n<li>Digitise &amp; Scale the Modelling Infrastructure:</li>\n<li>Partner with data engineering and systems teams to evolve models from Excel to modern cloud-based planning tools</li>\n<li>Build modular, scalable structures where Excel is used only for high-value analysis</li>\n<li>Use analytics and automation to reduce manual modelling and increase clarity</li>\n</ul>\n<ul>\n<li>Analyse the Business Like an Investor:</li>\n<li>Benchmark peers in defence, autonomy, robotics, aerospace, and industrial tech</li>\n<li>Build competitor profiles, KPI benchmarks, and market analyses</li>\n<li>Develop a POV on unit economics, efficiency, scale, and profitability</li>\n<li>Support M&amp;A modelling, valuation, and diligence</li>\n<li>Provide clear, strategic insights,not just numbers</li>\n</ul>\n<ul>\n<li>Lead Cash Flow &amp; Liquidity Modelling (with Corporate Finance):</li>\n<li>Build rolling cash forecasts across working capital, inventory, milestone payments, and CapEx</li>\n<li>Model hardware cycles, government payment timing, and program cash curves</li>\n<li>Identify liquidity risks early and shape capital allocation decisions</li>\n</ul>\n<ul>\n<li>Partner Across the Company:</li>\n<li>Work directly with the VP FP&amp;A, CFO, and CEO on forward-looking financial questions</li>\n<li>Translate engineering, program, and operations plans into financial impacts</li>\n<li>Connect short-term forecasting to the LRP</li>\n<li>Present insights that drive decisions and accelerate execution</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Analytical athlete with elite attention to detail</li>\n<li>Clear, structured thinker with strong modelling intuition</li>\n<li>Fast, accurate, and comfortable under pressure</li>\n<li>Curious and forward-looking,always asking “why?”</li>\n<li>Strong communicator who elevates decision quality</li>\n<li>Mission-driven and energised by complex, meaningful problems</li>\n</ul>\n<p><strong>Qualifications:</strong></p>\n<ul>\n<li>8+ years in investment banking, private equity, hedge funds, equity research, or elite financial services</li>\n<li>Best-in-class Excel modeller: integrated 3-statement models, valuations, sensitivities, unit economics, scenario analysis</li>\n<li>Experience analysing defence, aerospace, autonomy, robotics, industrial tech, or HW/SW companies</li>\n<li>Strong command of unit economics and driver-based forecasting</li>\n<li>Experience building LRPs and enterprise valuation frameworks</li>\n<li>Deep cash flow and liquidity modelling expertise</li>\n<li>High proficiency with financial statements and GAAP mechanics</li>\n<li>Systems mindset,comfortable partnering with data/systems teams</li>\n<li>Thrives in fast-moving, high-growth environments</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>Familiarity with government contract economics and milestone-based revenue</li>\n<li>M&amp;A experience: modelling, valuation, diligence</li>\n<li>Exposure to manufacturing scale, supply chain, and hardware production cycles</li>\n<li>Data fluency: dashboards, financial databases, or BI tools</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c726913d-082","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/1c9d70da-5916-401e-8b04-d1281325cd7f","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$140,000 - $210,000 a year","x-skills-required":["Excel","Financial modelling","Unit economics","Scenario analysis","Valuation","Sensitivity analysis","Cash flow modelling","Liquidity modelling","GAAP mechanics","Data analysis","Business intelligence"],"x-skills-preferred":["Government contract economics","M&A experience","Manufacturing scale","Supply chain management","Hardware production cycles","Data fluency"],"datePosted":"2026-04-17T13:00:43.283Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"Excel, Financial modelling, Unit economics, Scenario analysis, Valuation, Sensitivity analysis, Cash flow modelling, Liquidity modelling, GAAP mechanics, Data analysis, Business intelligence, Government contract economics, M&A experience, Manufacturing scale, Supply chain management, Hardware production cycles, Data fluency","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":140000,"maxValue":210000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_93a43345-780"},"title":"FinOps Program Manager","description":"<p>We believe that the way people interact with their finances will drastically improve in the next few years. We&#39;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life.</p>\n<p>The FinOps function is responsible for financial accountability, visibility, and optimization across all engineering-related spend at Plaid. This includes cloud infrastructure, AI/ML and data workloads, third-party SaaS tools, and other technical investments that support Plaid&#39;s products and internal platforms.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Monitors and analyzes engineering spend across cloud, AI/ML, data platforms, and SaaS, identifying trends, anomalies, and optimization opportunities.</li>\n<li>Builds and maintains forecasts for engineering spend, partnering with Finance and engineering leaders to understand drivers, assumptions, and risks.</li>\n<li>Partners with engineering, product, and TPMs to incorporate cost considerations into roadmaps, architectural decisions, and execution plans.</li>\n<li>Leads cost optimization initiatives, such as rightsizing, commitment strategies, and workload efficiency improvements, in collaboration with engineering owners.</li>\n<li>Creates and maintains dashboards and reporting that make spend understandable and actionable for both engineers and executives.</li>\n<li>Implements FinOps practices and processes, including showback/chargeback models, unit economics, and cost ownership frameworks.</li>\n<li>Partners on tooling and automation, working with data and engineering teams to improve cost visibility, forecasting accuracy, and operational efficiency.</li>\n<li>Drives alignment and behavior change, helping teams balance cost, performance, reliability, and velocity through data-driven decision making.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>6–10+ years of relevant experience working at the intersection of engineering, infrastructure, data, or finance in a cloud-native or SaaS environment.</li>\n<li>Proven experience partnering closely with engineering teams to influence decisions involving cloud infrastructure, data platforms, AI/ML workloads, or SaaS spend.</li>\n<li>Working understanding of modern cloud-native architectures, including core components such as compute, storage, networking, data pipelines, and managed services,enough to engage credibly with engineers on design, tradeoffs, and cost drivers.</li>\n<li>Strong foundation in cost analysis, forecasting, budgeting, and variance management, with the ability to translate data into clear, actionable insights.</li>\n<li>Comfort working directly with data, including writing SQL (or effectively using AI-assisted tools to do so) to explore datasets, validate assumptions, and answer ad hoc questions.</li>\n<li>Experience building clear, high-quality dashboards and BI artifacts that are not only accurate, but intuitive and delightful for engineers and leaders to use.</li>\n<li>Demonstrated success driving adoption and behavior change,embedding cost awareness into day-to-day engineering workflows, not just producing reports.</li>\n<li>Experience owning and delivering cross-functional programs end-to-end, often without direct authority or a dedicated team.</li>\n<li>Familiarity with FinOps principles and practices (e.g., shared ownership, showback/chargeback, unit economics, optimization strategies).</li>\n<li>Strong communication skills, with the ability to tailor complex technical and financial concepts for engineering, finance, and executive audiences.</li>\n</ul>\n<p><strong>Nice to Haves</strong></p>\n<ul>\n<li>Hands-on familiarity with cloud cost management tools (e.g., AWS Cost Explorer, GCP Billing, Azure Cost Management, CloudHealth, Cloudability, or similar).</li>\n<li>Experience working with or supporting data platforms and AI/ML workloads, including understanding cost drivers for batch processing, streaming, storage, and model training/inference.</li>\n<li>Exposure to showback/chargeback models, cost allocation strategies, or product-level unit economics.</li>\n<li>Experience improving data models or pipelines that support analytics, reporting, or financial attribution.</li>\n<li>Familiarity with BI tools such as Mode, Tableau, Looker, or similar,and a strong eye for dashboard usability and design.</li>\n<li>Background in a technical role (e.g., engineering, TPM, infra, data, or engineering operations) before moving into a more cross-functional or business-oriented position.</li>\n<li>Experience operating in a high-growth or rapidly scaling environment, where cost structures and investment priorities are evolving quickly.</li>\n</ul>\n<p><strong>Additional Information</strong></p>\n<p>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn&#39;t fully match the job description.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_93a43345-780","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Plaid","sameAs":"https://plaid.com/","logo":"https://logos.yubhub.co/plaid.com.png"},"x-apply-url":"https://jobs.lever.co/plaid/acb399b1-e0f8-45f3-bffa-c89c9c573a12","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$172,800-$259,200 per year","x-skills-required":["cloud infrastructure","AI/ML","data platforms","SaaS","cost analysis","forecasting","budgeting","variance management","SQL","data visualization","dashboard creation","cross-functional program management","FinOps principles","showback/chargeback models","unit economics","optimization strategies"],"x-skills-preferred":["cloud cost management tools","data platforms and AI/ML workloads","cost allocation strategies","product-level unit economics","BI tools","technical role background","high-growth environment experience"],"datePosted":"2026-04-17T12:52:18.112Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"cloud infrastructure, AI/ML, data platforms, SaaS, cost analysis, forecasting, budgeting, variance management, SQL, data visualization, dashboard creation, cross-functional program management, FinOps principles, showback/chargeback models, unit economics, optimization strategies, cloud cost management tools, data platforms and AI/ML workloads, cost allocation strategies, product-level unit economics, BI tools, technical role background, high-growth environment experience","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":172800,"maxValue":259200,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_639e80e2-93c"},"title":"Consumer Credit Lead - Cards","description":"<p>We&#39;re looking for a senior credit risk leader to help build and scale the underwriting strategy for our new consumer charge card. You&#39;ll take an initial strategic direction and turn it into a scalable, data-driven underwriting program, then monitor, refine, and evolve that strategy post-launch.</p>\n<p>As the portfolio grows, this role is expected to evolve into team leadership. You&#39;ll play a key role in shaping how risk decisions translate into customer experience, product growth, and long-term portfolio performance.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li><p>Building and operationalizing the credit strategy</p>\n</li>\n<li><p>Translating underwriting vision into formal credit policy and decision frameworks</p>\n</li>\n<li><p>Defining approval logic, segmentation strategy, and limit-setting methodology</p>\n</li>\n<li><p>Establishing portfolio guardrails aligned to loss targets and unit economics</p>\n</li>\n<li><p>Designing account management strategies across the customer lifecycle</p>\n</li>\n<li><p>Developing early portfolio management approaches including exposure adjustments, servicing strategies, and input into collections processes as the portfolio matures</p>\n</li>\n<li><p>Defining portfolio monitoring frameworks and escalation triggers for emerging credit risk trends</p>\n</li>\n<li><p>Building the data-driven risk engine</p>\n</li>\n<li><p>Implementing credit policy in our underwriting platform</p>\n</li>\n<li><p>Evaluating and integrating key data sources (bureau, income, debt signals)</p>\n</li>\n<li><p>Ensuring decision logic is structured, testable, and scalable</p>\n</li>\n<li><p>Partnering with Engineering and Data to build monitoring and feedback loops</p>\n</li>\n<li><p>Owning portfolio performance post-launch</p>\n</li>\n<li><p>Defining and tracking core KPIs (approval rate, early delinquency, loss rate, exposure, utilization, etc.)</p>\n</li>\n<li><p>Monitoring vintage performance and segment behavior</p>\n</li>\n<li><p>Recommending and implementing strategy adjustments based on observed risk trends</p>\n</li>\n<li><p>Presenting risk performance, insights, and recommendations to senior leadership</p>\n</li>\n<li><p>Driving data-informed risk and growth decisions</p>\n</li>\n<li><p>Using SQL to independently evaluate underwriting decisions and trade-offs</p>\n</li>\n<li><p>Analyzing drivers of credit performance and portfolio outcomes</p>\n</li>\n<li><p>Partnering with Finance on forecasting and risk-adjusted economics</p>\n</li>\n<li><p>Driving cross-functional execution</p>\n</li>\n<li><p>Partnering with Compliance to ensure the underwriting program is well-documented and built to scale</p>\n</li>\n<li><p>Working with Partnerships, Procurement, and Legal on evaluating and onboarding credit data providers</p>\n</li>\n<li><p>Supporting broader risk initiatives across our business charge card portfolio during the build phase</p>\n</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>6+ years of experience in consumer credit risk</li>\n<li>Experience launching or materially redesigning a consumer lending product</li>\n<li>Experience implementing credit policy within a decisioning or underwriting platform is strongly preferred</li>\n<li>Demonstrated experience owning risk strategy and monitoring portfolio performance</li>\n<li>Deep familiarity with bureau data and core credit risk metrics (approval rate, loss rate, vintage curves, etc.)</li>\n<li>Experience presenting risk insights and strategy recommendations to senior stakeholders</li>\n<li>Experience translating policy into production decision logic</li>\n<li>Strong SQL skills and comfort working directly with data</li>\n<li>Comfortable building in ambiguity and operating in a 0→1 environment</li>\n</ul>\n<p>Total rewards package includes base salary, equity, and benefits. Salary and equity ranges are highly competitive within the SaaS and fintech industry.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_639e80e2-93c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mercury","sameAs":"https://www.mercury.com/","logo":"https://logos.yubhub.co/mercury.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/mercury/jobs/5838487004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$187,000 - $233,800","x-skills-required":["consumer credit risk","credit policy","decision frameworks","approval logic","segmentation strategy","limit-setting methodology","portfolio guardrails","loss targets","unit economics","account management","customer lifecycle","exposure adjustments","servicing strategies","collections processes","portfolio monitoring","escalation triggers","emerging credit risk trends","data-driven risk engine","underwriting platform","key data sources","bureau data","income data","debt signals","decision logic","structured queries","testable logic","scalable logic","monitoring and feedback loops","SQL","credit performance","portfolio outcomes","forecasting","risk-adjusted economics","cross-functional execution","compliance","partnerships","procurement","legal","broader risk initiatives"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:47:05.306Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Fintech","skills":"consumer credit risk, credit policy, decision frameworks, approval logic, segmentation strategy, limit-setting methodology, portfolio guardrails, loss targets, unit economics, account management, customer lifecycle, exposure adjustments, servicing strategies, collections processes, portfolio monitoring, escalation triggers, emerging credit risk trends, data-driven risk engine, underwriting platform, key data sources, bureau data, income data, debt signals, decision logic, structured queries, testable logic, scalable logic, monitoring and feedback loops, SQL, credit performance, portfolio outcomes, forecasting, risk-adjusted economics, cross-functional execution, compliance, partnerships, procurement, legal, broader risk initiatives","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":187000,"maxValue":233800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_652f0f2b-2d9"},"title":"Senior Product Manager, Kaggle, North America","description":"<p>We are looking for a Senior Product Manager to join our team at Kaggle, the world&#39;s largest AI and ML developer community. As a Senior Product Manager, you will be responsible for driving the strategy and execution for a core pillar of Kaggle&#39;s AI evaluation portfolio. This includes unifying our AI Evals Platform, scaling top-of-funnel growth, and expanding our agent arena offerings.</p>\n<p>You will lead product vision and champion the developer experience, designing intuitive, scalable workflows that balance ease-of-access with research-grade quality. You will also scale the ecosystem by launching strategic features, integrations, and partnerships that meet developers where they are, expanding Kaggle&#39;s reach and influence across the global AI community.</p>\n<p>In addition, you will productize the frontier by identifying emergent AI evaluation trends and novel paradigms, translating them into scalable platform features that act as a &#39;north star&#39; for the industry. You will drive internal and external impact by partnering cross-functionally with Google teams and external frontier labs to ensure Kaggle&#39;s aggregate signals directly inform and accelerate foundation model development.</p>\n<p>You will also build sustainable systems and business models by addressing complex platform scaling challenges, such as implementing flexible compute options to support compute-heavy agentic evaluation workloads.</p>\n<p>To be successful in this role, you will need 7+ years of product management experience, with a proven track record of successfully shipping and scaling complex, highly technical software products. You will also need deep domain expertise in the modern AI ecosystem, with a hands-on, opinionated understanding of LLMs, agentic frameworks, and current methodologies for model benchmarking and evaluation.</p>\n<p>You will be comfortable with ambiguity and able to define product direction in a fast-moving, novel space. You will also have a strong existing network or previous experience working directly with top-tier AI labs, research organizations, or open-source AI communities.</p>\n<p>The US base salary range for this full-time position is between $192,000 USD - $278,000 USD + bonus + equity + benefits.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_652f0f2b-2d9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7699947","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$192,000 USD - $278,000 USD + bonus + equity + benefits","x-skills-required":["product management","AI and ML","developer experience","scalability","complex software products","LLMs","agentic frameworks","model benchmarking and evaluation"],"x-skills-preferred":["community growth loops","creator-consumer flywheels","commercialization","unit economics"],"datePosted":"2026-03-16T14:43:28.949Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US; New York City, New York, US; San Francisco, California, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product management, AI and ML, developer experience, scalability, complex software products, LLMs, agentic frameworks, model benchmarking and evaluation, community growth loops, creator-consumer flywheels, commercialization, unit economics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":192000,"maxValue":278000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a761387b-1f5"},"title":"Compute Cost of Revenue Accountant","description":"<p><strong>About the role</strong></p>\n<p>We are seeking a Compute Cost of Revenue Accountant to join our Accounting team at Anthropic. In this role, you will own the financial accounting, allocation, and reporting for compute-related Cost of Revenue (COR). As Anthropic scales its AI infrastructure, accurate COR accounting and cost allocation are critical to understanding the economics of our products and informing strategic investment decisions.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Own end-to-end Cost of Revenue accounting for compute-related costs, ensuring accurate classification, reporting, and month-end close activities</li>\n</ul>\n<ul>\n<li>Design, implement, and maintain COR allocation methodologies that accurately attribute overhead and direct costs to product lines and business segments</li>\n</ul>\n<ul>\n<li>Build and manage ERP allocation schedules to automate cost distribution and ensure consistency across reporting periods</li>\n</ul>\n<ul>\n<li>Scope and formulate accounting policies governing how infrastructure costs are allocated to Cost of Revenue vs. Operating Expenses</li>\n</ul>\n<ul>\n<li>Partner with Finance &amp; Strategy to analyse COR trends, gross margin impacts, cost efficiency metrics, and unit economics</li>\n</ul>\n<ul>\n<li>Collaborate with data engineering and analytics teams to build and refine COR data pipelines, validate data quality, and improve reporting accuracy</li>\n</ul>\n<ul>\n<li>Develop scalable processes to support rapid growth in compute infrastructure spend while maintaining strong internal controls</li>\n</ul>\n<ul>\n<li>Prepare variance analysis comparing actual COR to budget and forecast, investigating and explaining significant fluctuations</li>\n</ul>\n<ul>\n<li>Support external audit requirements related to COR, cost allocations, and related accounting policies</li>\n</ul>\n<ul>\n<li>Prepare management reports and supporting schedules for COR, gross margin, and cost allocation analysis</li>\n</ul>\n<ul>\n<li>Work cross-functionally with Capital Efficiency, Infrastructure, and Product teams to understand compute cost drivers and improve allocation accuracy</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have 8+ years of progressive accounting experience with meaningful exposure to cost accounting and Cost of Revenue</li>\n</ul>\n<ul>\n<li>Hold a Bachelor’s degree in Accounting or Finance; CPA or equivalent preferred</li>\n</ul>\n<ul>\n<li>Demonstrate experience with COR and COR allocation methodologies, including overhead and direct cost attribution</li>\n</ul>\n<ul>\n<li>Have hands-on experience working with ERP allocation schedules and automated cost distribution</li>\n</ul>\n<ul>\n<li>Show ability to scope and formulate accounting policies for allocating costs to COR</li>\n</ul>\n<ul>\n<li>Are proficient in financial analysis and comfortable working with large datasets</li>\n</ul>\n<ul>\n<li>Be familiar with gross margin analysis and unit economics</li>\n</ul>\n<ul>\n<li>Have a builder mindset—comfortable creating processes from scratch in a fast-paced environment</li>\n</ul>\n<ul>\n<li>Exhibit strong organisational skills and attention to detail</li>\n</ul>\n<p><strong>Strong candidates may also:</strong></p>\n<ul>\n<li>Have experience with NetSuite or Workday ERP systems</li>\n</ul>\n<ul>\n<li>Possess SQL skills for querying and analysing cost datasets</li>\n</ul>\n<ul>\n<li>Understand compute infrastructure cost structures and cloud economics</li>\n</ul>\n<ul>\n<li>Have experience at a technology company with consumption-based revenue models</li>\n</ul>\n<ul>\n<li>Show genuine curiosity about AI technology and the infrastructure that supports it</li>\n</ul>\n<ul>\n<li>Demonstrate proficiency with AI-assisted tools for enhancing financial analysis</li>\n</ul>\n<ul>\n<li>Have experience with cross-charge or intercompany allocation processes</li>\n</ul>\n<p><strong>Deadline to apply: None. Applications will be reviewed on a rolling basis.</strong></p>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> 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.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;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.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> 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&#39;re interested in this work.</p>\n<p><strong>Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a761387b-1f5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5128198008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000 - $230,000USD","x-skills-required":["Cost of Revenue accounting","ERP allocation schedules","SQL skills","Cloud economics","Financial analysis","Gross margin analysis","Unit economics"],"x-skills-preferred":["NetSuite or Workday ERP systems","AI-assisted tools for enhancing financial analysis","Cross-charge or intercompany allocation processes"],"datePosted":"2026-03-08T14:01:09.994Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"Cost of Revenue accounting, ERP allocation schedules, SQL skills, Cloud economics, Financial analysis, Gross margin analysis, Unit economics, NetSuite or Workday ERP systems, AI-assisted tools for enhancing financial analysis, Cross-charge or intercompany allocation processes","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":230000,"unitText":"YEAR"}}}]}