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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 Project Spend, Internal Capacity & Fleet Optimization - Own project-level budgets, spend tracking, and cost-to-complete forecasts for Engineering and Product initiatives - Quantify internal capacity consumption across development, testing, and benchmarking; build and maintain allocation and chargeback methodology - Partner with Infrastructure and Engineering on fleet optimization, including utilization, idle capacity, instance mix, and reclamation opportunities - Translate optimization opportunities into quantified savings and track realization against target Product Investment ROI & R&D Analysis - Build business cases and ROI models for product and R&D investments - Establish post-investment measurement; track realized returns against the original underwriting - Analyze R&D spend by initiative and support capitalization analysis with Accounting - Provide prioritization frameworks and trade-off analysis for competing investment requests New Product Introduction (NPI) Management - Serve as the finance partner across the NPI lifecycle, from concept through launch and ramp - Model pricing, unit economics, margin, and volume assumptions for new offerings - Own stage-gate financial deliverables and launch readiness criteria - Track post-launch performance against the launch case and inform go/no-go and scaling decisions Engineering & Product Headcount and OpEx Management (BvA) - Own OpEx and headcount planning, tracking, and reporting for the Engineering, Product, and Cloud Services organizations - Maintain hiring plans, compensation assumptions, and organizational change tracking against approved headcount - Prepare monthly and quarterly budget vs. actual analysis, identify key drivers, and partner with Engineering and Product leaders to explain performance - Manage vendor, software, and tooling spend; support accrual and reclassification inputs with Accounting through the monthly close Cash Flow Forecasting - Build and maintain the operating cash flow forecast model, including timing of vendor payments, capacity commitments, and project spend - Own the rolling near-term cash view; reconcile forecast to actuals and explain variances - Model scenarios around deployment timing, payment terms, and financing structures - Partner with Accounting and Treasury on payables timing, prepaids, and commitment schedules Executive Reporting & Communication - Deliver Cloud Services, Engineering, and Product insights for monthly business reviews, executive reviews, and board materials - Translate complex technical and operational data into clear financial insight - Provide actionable recommendations on cost efficiency, investment prioritization, and margin improvement You - Have a bachelor's degree in Finance, Accounting, Economics, or a related field - Have 4+ years experience in FP&A, corporate finance, investment banking, or consulting, ideally with a focus on Cloud / AI infrastructure, SaaS, Data centers, Telecom, Hardware, or industrials - Have direct experience partnering with Engineering or Product organizations on budget, roadmap, and investment decisions - 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 - Direct experience building or owning a cash flow forecast - Experience with R&D capitalization, new product introduction, or product P&L ownership - Working proficiency in SQL and comfort querying large data sets directly - Familiarity with GPU compute, AI/ML workloads, or cloud infrastructure economics 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.

Listed by Lambda for a position based in the United States. Employers on this board attest they are hiring domestically.

Infrastructure

28 days ago

Technical Accounting/SEC Reporting Lead

Lambda · San Jose, California, United States

Pay

$169k–225k

Setting

Hybrid

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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 Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. What You’ll Do - Lead technical accounting research and prepare memos for complex, non-routine transactions in accordance with U.S. GAAP - Analyze accounting implications of significant transactions, including revenue, equity, debt, business combinations, leases, and stock-based compensation - Partner cross-functionally (Legal, Tax, FP&A, Treasury) to assess accounting impacts and provide guidance ahead of execution - Develop and maintain accounting policies; evaluate and implement new FASB and SEC guidance in preparation for public company readiness - Support IPO readiness efforts, including drafting technical disclosures, assisting with S-1/10-K preparation, and enhancing financial statement presentation - Assist with consolidated financial statement preparation, footnotes, and reporting package reviews to ensure accuracy and SEC compliance - Support external audits and SOX readiness by preparing documentation, strengthening controls, and improving close and reporting processes - Contribute to M&A, system implementations, and other strategic initiatives to support company growth What we look for in you: - Bachelor’s degree in Accounting, Finance, or related field - 4+ years of experience in technical accounting, preferably within a Big 4 firm and/or a publicly traded company - Active CPA required - Strong knowledge of the U.S. GAAP with experience analyzing complex and non-routine transactions (e.g., revenue recognition, leases, equity, debt, business combinations) - Proven ability to research accounting guidance and prepare clear, well-supported technical accounting memos - Understanding of SEC reporting and disclosure requirements - Experience partnering cross-functionally to assess accounting implications of business initiatives - Familiarity with ERP and reporting tools (e.g., NetSuite, Workiva) - Advanced Excel skills and strong analytical capabilities - Excellent written and verbal communication skills, with the ability to translate technical guidance into practical recommendations - Detail-oriented, proactive, and comfortable operating in a fast-paced environment Nice to haves: - Big 4 audit or accounting advisory experience with strong technical accounting expertise - Deep knowledge of ASC 606 (revenue), ASC 842 (leases), and ASC 718 (stock-based compensation), including memo preparation and policy development - Experience with pre-IPO technical matters, including equity instruments, preferred stock, warrants, EPS, and SEC reporting considerations - Strong understanding of the U.S. GAAP financial reporting, including preparation and review of financial statements and footnote disclosures - Experience supporting IPO readiness, S-1/10-K preparation, and PCAOB audits - Background in high-growth, pre-IPO or public technology companies (SaaS/AI preferred) - Exposure to M&A and purchase accounting, particularly in revenue and equity-related areas - Demonstrated ability to strengthen controls and build scalable accounting processes in fast-paced 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.

Listed by Lambda for a position based in the United States. Employers on this board attest they are hiring domestically.

Infrastructure

29 days ago

Data Center Asset Management Specialist

Lambda · San Jose, California, United States

Pay

$96k–112k

Setting

Hybrid

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Listed by Lambda for a position based in the United States. Employers on this board attest they are hiring domestically.

Infrastructure

48 days ago

Manager, Investor Relations

Lambda · San Francisco, California, United States

Pay

$150k–200k

Setting

Hybrid

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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. About the Role We are seeking a Manager, Investor Relations to strengthen the analytical and strategic core of our Investor Relations function as the company scales. This is a senior role for someone who can independently own complex analysis and judgment-based work, not simply support it, while also developing the junior analyst who reports to them. Reporting to and partnering closely with the Vice President of Investor Relations, this role works across Finance, FP&A, Capital Markets & Corporate Development, and the broader organization to help management understand external expectations, investor sentiment, and market dynamics. The ideal candidate combines strong financial acumen, analytical rigor, and sharp communication skills with a genuine interest in how sophisticated investors evaluate businesses. Prior investor relations experience is welcome but not required, and it is not what we are optimizing for. We care far more about analytical horsepower, sound judgment, and a strong point of view, paired with the eagerness to learn our approach to investor relations. This is a highly visible role with regular exposure to executive leadership, investors, analysts, and the broader financial community. The [Senior] Manager will have one direct report, an Investor Relations Analyst. While the focus of the role is the work itself rather than people management, prior management experience is not required; what matters is the desire to guide, develop, and elevate a junior team member. What You’ll Do - Own earnings preparation. Lead the development of earnings materials, including presentations, scripts, Q&A, and supporting analyses, working with the VP to ensure accuracy, consistency, and a compelling narrative. - Read the market. Develop a deep, ongoing understanding of investor sentiment, analyst expectations, and market perception, and translate it into clear insights for management. - Analyze and interpret. Assess investor feedback, analyst research, peer disclosures, and industry developments to identify implications for our communications and positioning. - Act as a thought partner. Serve as a trusted analytical partner to the VP of Investor Relations on investor sentiment, market expectations, competitive positioning, and external perception. - Bridge FP&A and IR. Partner closely with FP&A to understand operating performance, forecast assumptions, and key business drivers, and translate internal operating trends into investor-relevant insights. - Partner with Capital Markets and Corporate Development. Coordinate closely with Capital Markets & Corporate Development on all capital-raising activity, focusing on consistency of metrics and narrative across external communications. - Anticipate the Street. Analyze the relationship between company performance and investor expectations to help management anticipate investor questions, reactions, and areas of focus. - Surface disconnects. Identify gaps between internal expectations and external models, and recommend approaches to messaging, disclosure, and investor engagement. - Develop the analyst. Guide and develop the Investor Relations Analyst (a direct report), reviewing their work and helping raise the analytical quality of the function’s output. You - 4+ years of experience in equity research, investment banking, management consulting, strategic finance, investor relations, or a similarly analytical field. Prior investor relations experience is welcome but not required. - Strong command of financial statements, operating metrics, valuation frameworks, and public company disclosures. - Strong analytical and financial modeling capabilities. - Demonstrated ability to synthesize complex financial and market information into clear, actionable insights and recommendations. - Exceptional written and verbal communication skills, with the judgment to know what matters to a sophisticated audience. - Intellectual curiosity and a genuine interest in markets, investors, competitors, and business performance. - A genuine desire to mentor and develop a direct report while remaining hands-on in the work; prior people-management experience is not required. Nice to Have - Experience with companies that need to raise significant amounts of capital, or with capital-intensive businesses. - Experience with highly technical or complex business models. - A track record of advancement within a single firm rather than frequent job changes; we value depth and demonstrated growth in one place. - Familiarity with AI, cloud infrastructure, or adjacent technology sectors. Success in This Role Success in this role is about owning your work end-to-end. You produce solid, reliable analysis, you know exactly where every number came from, and you are seen across the organization as someone whose work can be trusted without a second check. It is about consistently doing rigorous, dependable work that others can build on with confidence. 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.

Listed by Lambda for a position based in the United States. Employers on this board attest they are hiring domestically.

Infrastructure

56 days ago

Staff Connectivity Engineer

Lambda · San Jose, California, United States

Pay

$349k–465k

Setting

Hybrid

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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. As a Staff Connectivity Infrastructure Engineer, you will drive and support the Physical Infrastructure Cabling Standards (PICS) across all of Lambda’s global data centers. Reporting directly to the Principal of Data Center Architecture and Standards, you will focus on developing and implementing connectivity components and infrastructure solutions that support our demanding GPU Cluster deployments, while accelerating deployment timelines, simplifying operations and reducing costs - all while meeting stringent performance expectations. You will also lead New Product Implementation (NPI) efforts for PICS and be responsible for documenting all Standard Operating Procedures (SOPs) and Methods of Procedure (MOPs) for solutions deployed within our data center infrastructure, including colocation white-space fit-outs, equipment installations, and upgrade initiatives. What You’ll Do Documentation & Standards Management - Develop and maintain all PICS (Physical Infrastructure Cabling Standards) documentation, including Basis of Design (BoD) specifications, component-level details, and operational and installation SOP/MOP’s. - Ensure adherence to PICS Standards enabling optimal connectivity performance, scalability, flexibility and continuity within our entire global DC Infrastructure fleet. - Develop and publish dashboards that broadcast our business operations, key Metrics & KPI’s, Project status and issues that impact our area can be resolved quickly and effectively. Cross-Functional Team & Vendor Management Support - Serve as the primary PICS subject-matter expert for Internal Teams — providing guidance and support to our HPC Architecture, Hardware & Network Engineering, PMO, Supply Chain and Data Center Operations Teams. - Build and maintain strong relationships with Manufacturers and Suppliers to help ensure supply chain continuity, cost effectiveness and quality assurance. - Review and develop the detailed BOM’s with Suppliers to ensure our components are built to PICS Standards and they meet our exact connectivity specification requirements. Innovation, NPI & Industry Alignment - Stay current with industry trends, emerging cabling technologies, and new data center infrastructure solutions. - Encourage the adoption of new technologies and keen practices that can improve upon PICS and keep us at the forefront of industry trends. - Drive the development, qualification, and implementation of new connectivity products and standards into production (NPI). Project & Deployment Support - Participate in design reviews and page-turn sessions, providing technical guidance for cabling infrastructure specifications in new data center builds. - Assist in deploying connectivity components and PICS standards across global data center projects. - Conduct regular site visits to assess construction progress, document findings, and resolve PICS-related issues. Quality, Compliance & Continuous Improvement - Ensure consistent quality of installations and infrastructure by performing QC/QA to PICS best practices across global deployments. - Track costs, time to install, capacity utilization and connectivity performance to identify methods to optimize efficiency and effectiveness and reduce costs. - Contribute to process-improvement initiatives and participate in team knowledge-sharing to advance operating efficiency and alignment with industry best practices. You - 10+ years of experience in Data Center cabling infrastructure engineering, connectivity architecture and physical layer design. - Deep knowledge of fiber-optic and copper cabling systems, termination methods, cable plant architecture, and high-density interconnect solutions. - Hands-on experience developing installation standards, component specifications, and cabling architectures for hyperscale or large enterprise environments. - Strong vendor, OEM, and supply chain engagement experience. - Ability to lead highly technical, cross-functional initiatives involving engineering, construction, and operations. - Strong documentation, analytical, and communication skills. - Familiarity with industry standards (TIA/EIA, BICSI, IEC). - Ability to read, create, and modify technical drawings (AutoCAD, Revit, Bluebeam, or equivalent). Nice to Have - Experience with AI/HPC cluster architectures and GPU-dense deployments. - Background in NPI, qualification testing, or component engineering. - Industry certifications (e.g., RCDD, DCDC, CFHP, BICSI). - Experience with optical test equipment, inspection, and fiber QA workflows. - Ability to influence stakeholders and drive customer-focused outcomes across global programs. 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.

Listed by Lambda for a position based in the United States. Employers on this board attest they are hiring domestically.

Infrastructure

61 days ago

Data Center Development & Infrastructure Finance Lead

Lambda · San Francisco, California, United States

Pay

$202k–230k

Setting

Hybrid

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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+ 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.

Listed by Lambda for a position based in the United States. Employers on this board attest they are hiring domestically.

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