G&A Jobs

About Rundoo ℹ️ Our mission is to empower independent supply stores with best-in-class technology. Think of your local hardware store or mom-and-pop nursery—these are our clients. From paint to lumber to flooring, over 200,000 such stores across the country sell over $1T of building materials annually using outdated, on-premises systems. We’re aiming to help them modernize so that they can continue to thrive. Backed by leading investors including Bessemer and CRV, we've raised $18M across three rounds and are growing quickly. Our team is made up of builders, sellers, and industry veterans with a shared goal: to bring modern technology to an overlooked industry. About the role 💼 You’ll own data science at Rundoo end-to-end: turning ambiguous business questions into crisp scopes, delivering robust analysis on predictable timelines, and building lightweight internal systems so insights are reproducible (not just a one-off notebook). You’ll be a thought partner to leaders across GTM, product, and finance — shaping the question as much as answering it — and proactively surfacing anomalies and opportunities as the business scales. This is a remote role with a strong preference for candidates based in SF or NYC . You will report directly to the Head of Data Science . What you’ll do as an Data Scientist at Rundoo 🗒️ Deliver high-trust analysis on clear timelines : stakeholders trust both the answer and the ETA; assumptions and limits are explicit. Translate business problems into analysis + system requirements : turn vague asks into crisp scopes, metrics definitions, and data contracts. Build and maintain internal decision systems : ship lightweight tools/workflows so insights are reproducible and maintainable by others. Partner with GTM teams : help Sales/GTM move from “interesting analysis” to actions (e.g., prospecting lists, territory design, experimentation). Proactively surface issues : detect anomalies, broken assumptions, or misallocated spend without waiting for a ticket. Support fundraising readiness : contribute to an evergreen, credible data pool and reporting that leadership can rely on. Requirements ☑️ 5+ years of experience in data science, analytics, applied ML or MLE in a high-growth environment Strong applied analytics / data science foundation (statistics, experimentation, causal thinking, forecasting, etc.). Demonstrated ability to scope ambiguous problems and drive to decisions with stakeholders. Comfort writing production-quality code (especially Python ) and building maintainable internal systems (not just notebooks). Excellent communication: can explain tradeoffs, assumptions, and recommendations to non-technical audiences. High ownership and autonomy in a fast-paced environment; can operate without a lot of process. Bonus points 🌟 Experience partnering closely with Sales/GTM teams (pipeline, conversion, pricing, prospecting, territories, etc.). Experience building internal analytics tooling on cloud infrastructure (basic best practices, reliability, maintainability). Experience operating in early-stage startups and/or building “v1 systems” that later scale. Strong “structured systems thinking” and willingness to defend or revise an approach under scrutiny. Location Remote friendly Expect ~1 week of travel per quarter to either our Chicago or Redwood City offices. About the team 👥 You’ll partner closely with leaders across the business (GTM, product, and finance) and work directly with exec stakeholders. This is a high-trust, cross-functional role where the outputs need to be decision-ready and reproducible. You would work directly with the GTM leaders on the team: Amrit (Data Science): Studied CS & English at Cornell; Data Scientist at Enigma; Public Interest Technology Fellow at the New York Public Library. Enjoys mending, maintenance & buying junk on eBay. Matt (Sales): Studied history at Northwestern; taught middle school in Chicago (hardest job ever), led sales for a consumer start-up (Catch Co.), joined Rundoo as an AE and now leads the GTM team; former competitive angler in college (bass fishing 🎣) Vidhan (Client Experience): Studied Biomedical Engineering and Econ at Duke University; Formerly Director of Product at BuildZoom, Product lead at Hinge Health, and Co-Founder of Urova Medical. Interview Process 🎤 Intro call (30 min) Take-home exercise overview (30 min) Paid Take Home (~4-6 hours) — This is the core of the interview. We’ll share more information about Rundoo and ask you to complete a task representative of the work you’d do at Rundoo. This interview will be paid, and we ask that you dedicate significant time to it. On-site Take-home review - pressure-test the analysis; reproduce numbers; push on assumptions GTM collaboration - test trust/translation and move from analysis to action. Lunch with the team Problem solving discussion - informal discussion on how problems are approached and tools used. Systems/engineering - Basic systems architecture and best practices for building an internal tool. Culture - Behavioral questions, geared toward our culture & values. References: one manager, one peer, one stakeholder (PM/GTM/Finance). Benefits 🏋️ Full medical, dental, and vision coverage (100% of premiums for you, 50% for dependents) Life Insurance 401k with Betterment Unlimited PTO with 10 company paid holidays Gym allowance Daily team lunches for those in office Learning materials and audiobook subscriptions Dog-friendly office in Redwood City - https://rundoo.ai/rundogs/ About our founders 🌲 Andrew (CTO): studied computer science & humanities at Stanford; worked as a software engineer and head of engineering at Apple & Anova; danced with the SF ballet (where he met his wife)! 🩰 Nick (CEO): studied math & computer science at Stanford; worked as a trader at Bridgewater & Citadel and as a PM at Google & Enigma; distantly related to the founder of the Hershey company 🍫 How we've fundraised 💰 We've raised $18m across three rounds: A $2m pre-seed led by Kent Bennett at Bessemer with participation from Plug & Play, Quiet Capital, and Sequoia. A $5m seed led by Caitlin Bolnick Rellas at CRV . An $11m series A led again by Bessemer and CRV.

Job Description We are looking for an IT System Administrator based in Berlin to operate the internal IT landscape across multiple locations. This role combines hands-on system administration with operational ownership, security responsibility, and continuous improvement of IT services. Your tasks: IT Operations & Infrastructure Administer and support Microsoft 365 services (Teams, Exchange, SharePoint, OneDrive) Manage identity, access, and user lifecycle using Azure AD (Entra ID) Configure, deploy, and manage Windows and macOS devices using Microsoft Intune MDM Operate and maintain on-prem and virtualized environments (VMware / ESXi) Maintain local network infrastructure including switches and wireless LAN controllers Automate recurring administration tasks and workflows End-User Support & Service Management Own and operate the IT service desk using Jira Service Management Provide first- and second-level support with a strong focus on service quality Ensure timely incident resolution and clear communication with users Security & Compliance Operate endpoint protection, email security, and firewall solutions Ensure secure onboarding and offboarding processes in cooperation with HR Maintain IT practices aligned with GDPR and internal security standards Ownership & Collaboration Act as the IT operations contact across all company locations Support cloud migration, workplace IT, and infrastructure projects Collaborate closely with Technology, HR, Finance, and Operations teams Your skillset: Hands-on experience as an IT System Administrator or similar role Strong experience with Microsoft 365, Azure AD (Entra ID), and Intune, including MFA, Conditional Access, and role-based access control Experience supporting Windows and macOS environments Hands-on experience with Jira Service Management or similar ITSM tools Understanding of IT security fundamentals Experience managing IT assets, vendors, and suppliers Ability to work independently with a strong ownership mindset Working proficiency in German and English What we offer: Modern office spaces in Berlin with flexible remote work Meaningful work at the market leader in funeral technology, with direct influence on the company's technical direction Dog-friendly office

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. What You’ll Do Data Center Development Finance Lead financial modeling for all new data center development projects, including construction, power infrastructure, and network buildout Own construction budgets, cost-to-complete forecasts, and contingency tracking Monitor project performance against budget and schedule, identifying risks and mitigation plans Model project-level returns (IRR, NPV, payback) and track performance vs underwriting Capacity Planning & Infrastructure Forecasting Develop and maintain the multi-year infrastructure and capacity roadmap Own capacity models, including supply, demand, and utilization forecasting Identify capacity risks, including underbuild or overbuild scenarios Develop commissioning and ramp assumptions for new infrastructure Support executive decision-making on infrastructure investments and prioritization Unit Economics & Cost Management Own the infrastructure cost model, including power, networking, maintenance, and depreciation inputs Develop and maintain cost per compute / workload models Produce gross margin forecasts and cost sensitivity analyses Identify opportunities to improve efficiency and reduce cost per unit Budgeting, Forecasting & Performance Management Own infrastructure CapEx and COGS budgets Lead planning cycles for infrastructure and development spend Deliver regular budget vs. actual (BvA) analysis for construction spend, infrastructure costs, capacity utilization, cost per unit, and present performance insights and recommendations to leadership Executive Reporting & Communication Deliver infrastructure and development insights for executive reviews and board materials Translate complex technical and operational data into clear financial insights Provide actionable recommendations to drive capital efficiency and margin improvement You Have a bachelor's degree in Finance, Accounting, Economics, or a related field Have 7-10+ years in FP&A, infrastructure finance, investment banking, or related roles, ideally with a focus on Cloud / AI infrastructure, Data centers, Telecom, Energy, Hardware or industrials Have direct experience with CapEx planning and capital allocation, Project or development finance, and Operating cost modeling Possess extensive experience in financial modeling and analysis, with a deep expertise in constructing complex financial models and interpreting financial statements to drive strategic decision-making Have excellent analytical, strategic thinking, and decision-making skills Possess strong Excel skills and experience with financial software systems Have the ability to thrive in a fast-paced, high-growth environment, balancing multiple complex projects Have excellent written and verbal communication skills with the ability to present complex data clearly and concisely Are a team player with a positive attitude, strong work ethic, and a commitment to continuous improvement Are able to work in an ambiguous environment with very little direction Nice to Have Prior experience in a startup or high-growth organization, demonstrating adaptability and flexibility to thrive in such environments Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: https://lambda.ai/careers We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. What You’ll Do Planning, Budgeting & Forecasting Support the annual budgeting process and rolling forecast cycles Coordinate inputs across: Infrastructure Finance Commercial / Functional Finance SPV / Entity Finance Maintain and update consolidated financial models Ensure alignment of assumptions across teams Consolidation & Financial Reporting Consolidate financial forecasts across all business units and SPVs Support intercompany and elimination logic in the planning process Produce consolidated views of Revenue, OpEx, CapEx, and Headcount Assist in preparing executive and board-level reporting materials OpEx & Headcount Planning Support company-wide OpEx planning and tracking, including: G&A functions (Finance, Legal, HR, IT) Shared services and overhead costs Own and maintain headcount models: Hiring plans, Compensation assumptions, and Organizational changes Track headcount vs plan and provide variance analysis Budget vs Actuals (BvA) & Performance Analysis Prepare monthly and quarterly BvA reports Analyze variances across Departments, Entities / SPVs, and Cost categories Identify key drivers and partner with business teams to explain performance Planning Systems & Data Management Maintain and administer the company’s FP&A planning system Support data integrity, model updates, and user access and training Improve planning processes and automation where possible Ad Hoc Analysis & Projects Support long-range planning (LRP) and scenario modeling Assist with special projects, including: Cost optimization initiatives Organizational planning Process improvements You Have a bachelor's degree in Finance, Accounting, Economics, or a related field Have 4–7 years of experience in FP&A, corporate finance, consulting, or related roles, ideally with a focus on Cloud / AI infrastructure, Data centers, Telecom, Energy, Hardware or industrials Possess extensive experience in financial modeling and analysis, with a deep expertise in constructing complex financial models and interpreting financial statements to drive strategic decision-making Have excellent analytical, strategic thinking, and decision-making skills Possess strong Excel skills and experience with financial software systems Have the ability to thrive in a fast-paced, high-growth environment, balancing multiple complex projects Have excellent written and verbal communication skills with the ability to present complex data clearly and concisely Are a team player with a positive attitude, strong work ethic, and a commitment to continuous improvement Are able to work in an ambiguous environment with very little direction Nice to Have Prior experience in a startup or high-growth organization, demonstrating adaptability and flexibility to thrive in such environments Experience in capital-intensive or infrastructure-heavy industries Familiarity with headcount and compensation planning Exposure to SPVs or multi-entity structures Corporate FP&A and / or public company experience Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: https://lambda.ai/careers We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.