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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. Travel: 50% , Travel required to various data center sites. What You’ll Do As a Data Center Implementation Manager, you will lead the end-to-end execution of multiple concurrent data center infrastructure projects, spanning Greenfield builds, colocation white space fit-outs, equipment upgrades, and lifecycle replacements. You’ll serve as the single point of contact for all construction activities on your assigned projects, coordinating closely with data center providers, MEP contractors, and internal stakeholders. Your role includes overseeing construction schedules and budgets, managing OFCI equipment procurement and installation, conducting design reviews, and driving alignment across cross-functional teams including electrical, mechanical, low voltage, and network engineering. You’ll also contribute to continuous improvement initiatives, integrating emerging technologies and design innovations into our infrastructure strategy. Key Responsibilities - Project Leadership & Oversight: - Manage the build out of multiple data center projects concurrently, from detailed design to physical build out, including Greenfield construction projects, colocation white space fitouts, equipment upgrades, and end-of-life replacements. Oversee the work of MEP Contractors and Equipment Suppliers during the build out process. - Internal Coordination with SMEs: - Coordinate with internal Subject Matter Experts (SMEs) across various disciplines, including electrical, mechanical, and low voltage, to ensure project requirements, technical specifications, and solutions are properly aligned. - Budget & Schedule Coordination: - Work with our Data Center Providers and Contractors to prepare, review, and monitor project schedules, budgets, and forecasts for design and construction expenditures. - OFCI Equipment Management: - Review and evaluate OFCI (Owner-Furnished, Contractor-Installed) equipment submittals, providing recommendations to the Construction Management team and Procurement teams. - Design Reviews: - Participate in page-turn meetings with consultants, providing feedback on designs, Sequence of Operations, Basis of Design documents, and commissioning plans. - Vendor Management: - Assist with RFPs for OFCI Equipment and Data Center Whitespace Fit Outs, evaluation of proposals, selection of vendors, and oversight on alignment with project budgets and schedules. - Project Reporting: - Prepare and deliver detailed project reports to both executive leadership and project teams, track project budgets, schedules, scope objectives, and progress. - Stakeholder Communication: - Provide regular project updates to internal and external stakeholders, both informally and formally. - Design Coordination & Site Visits: - Conduct site visits during construction to review design implementation, assess construction progress, and ensure adherence to design specifications, quality standards, and project requirements. - Cross-functional Collaboration: - Collaborate closely with cross-functional teams, including Network Engineering, Data Center Operations, HPC, Supply Chain and Technical Project Management to ensure alignment with business objectives and project deliverables. Serve as a liaison between internal teams and external contractors or vendors, ensuring clear and effective communication. - Transformation & Design Improvements: - Contribute to internal design team meetings, proposing and exploring new technologies or design concepts to enhance project outcomes. Stay up to date with industry trends and integrate innovative solutions into project designs. Ideal Candidate Profile - Proven experience managing data center construction projects, including Greenfield builds, colocation fit-outs, and infrastructure upgrades. - Strong understanding of MEP systems and construction practices, with hands-on experience coordinating with electrical, mechanical, and low voltage SMEs. - Skilled in managing OFCI equipment procurement, submittal review, and installation oversight. - Effective communicator with the ability to serve as the single point of contact for construction activities and maintain alignment across internal and external stakeholders. - Proficient in tracking and managing project schedules, budgets, and forecasts in collaboration with contractors and data center providers. - Experienced in participating in design reviews and commissioning processes, with the ability to provide meaningful technical feedback. - Comfortable conducting on-site inspections to verify construction quality, design adherence, and progress. - Familiar with vendor RFP processes, proposal evaluation, and managing vendor performance to budget and timeline expectations. - Highly organized, with a strong ability to prepare detailed project reports and communicate updates to both executive leadership and project teams. - Collaborative team player with cross-functional experience working alongside Network Engineering, Data Center Operations, HPC, Supply Chain, and TPM organizations. - Passionate about continuous improvement and staying current with industry trends, technologies, and best practices in data center design and delivery. Top Five Requirements 1. End-to-End Data Center Construction Experience: - Proven track record managing full lifecycle data center projects, colocation fit-outs, and infrastructure upgrades. 2. Strong MEP & OFCI Coordination Skills: - Deep understanding of mechanical, electrical, and low voltage systems, with experience reviewing OFCI submittals and coordinating with design and construction teams. 3. Project Budget & Schedule Management: - Demonstrated ability to manage construction budgets, track project schedules, and work with vendors and providers to meet critical deadlines and cost targets. 4. Cross-Functional Communication & Stakeholder Management: - Excellent interpersonal skills, capable of serving as the single point of contact for construction and aligning internal stakeholders, external contractors, and data center providers. 5. On-Site Construction Oversight & Quality Assurance: - Ability to perform regular site visits to monitor construction progress, validate design implementation, and ensure adherence to project specifications and quality standards. Qualifications - Bachelor’s degree in Engineering, Construction Management, or a related field (or equivalent practical experience). - 10+ years of experience managing data center construction or critical infrastructure projects. - Strong knowledge of MEP systems, including coordination with electrical, mechanical, and low voltage trades. - Proficient in reviewing technical design documents, including Basis of Design, Sequence of Operations, and commissioning plans. - Demonstrated experience managing OFCI equipment procurement, submittals, and installation processes. - Strong documentation and writing skills, with the ability to create clear, concise project documents, decision-making documents, and instructional materials. - Proven ability to work in a fast-paced environment and manage multiple priorities effectively. - Strong analytical skills, with the ability to make data-driven decisions and solve complex problems. - Skilled in construction schedule and budget management, including forecasting, tracking, and reporting. - Familiarity with project management tools (e.g., MS Project, Primavera, Smartsheet) and construction tracking/reporting platforms. - Excellent communication and interpersonal skills, with the ability to collaborate across teams and effectively engage with stakeholders. - Passion for continuous improvement, with a proactive mindset for integrating new technologies and design innovations. 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

5 days ago

Data Center Construction Site Foreman (Dallas)

Lambda · United States

Pay

$132k–176k

Setting

Remote

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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. Travel: 75% , Sustained on-site presence required at active data center construction and fit-out sites. What You’ll Do As a Construction Onsite Foreman, you are Lambda’s eyes, ears, and hands in the field. You will hold daily on-site command of colocation white space fit-outs, high-density compute expansions, and infrastructure upgrades, working under the Data Center Implementation Manager and alongside the Data Center Implementation Project Manager to turn drawings and schedules into installed, energized, and accepted capacity. You will direct and coordinate trade crews and vendor teams on the floor, sequence work across electrical, mechanical, low voltage, and network scopes, enforce safety and quality standards, and keep material and equipment flowing to the point of install. You will catch field conflicts before they become schedule impacts, escalate what cannot be solved at the site level, and own the daily record of what actually happened on your job. Key Responsibilities - Daily Field Supervision: - Serve as Lambda’s on-site lead for assigned data center projects. Direct daily activity across MEP contractors, low voltage and network installers, rack and integration crews, and OEM field service teams. Run daily huddles, set the day’s priorities, and confirm each crew knows its scope, sequence, and constraints. - Fit-Out & Installation Oversight: - Oversee physical execution of white space fit-out work including rack and cabinet setting, containment, busway and branch circuit distribution, rPDU installation, cable tray, structured cabling, liquid cooling and CDU tie-ins, and airflow management. Verify installations match approved drawings and Lambda standards before work is covered or energized. - Safety Leadership: - Enforce site safety requirements, energized work permits, LOTO procedures, hot work permits, and PPE compliance. Conduct daily safety walks, stop unsafe work immediately, and lead incident and near-miss reporting with the data center provider and general contractor. - Quality Control & Inspections: - Perform in-progress and pre-cover inspections, torque and terminations checks, labeling verification, and workmanship reviews. Build and drive punch lists to closure, rejecting non-conforming work and confirming corrections in the field. - Trade & Vendor Coordination: - Deconflict overlapping trade work, sequence access to shared space and shafts, and coordinate outage and switching windows with the data center provider. Escort and manage vendor access, badging, tool and material handling, and site rules compliance. - OFCI Material Management: - Receive, inspect, stage, and secure OFCI (Owner-Furnished, Contractor-Installed) equipment. Verify shipments against packing lists and submittals, document damage and shortages immediately, manage laydown and storage areas, and confirm material readiness ahead of each install window. - Schedule Support & Lookaheads: - Own the three-week lookahead in the field. Track daily progress against the construction schedule, flag manpower and material gaps early, and provide the Implementation Project Manager with accurate percent-complete and constraint data. - Field Documentation & Reporting: - Produce daily field reports covering manpower counts, work completed, deliveries, delays, safety observations, and photo documentation. Maintain redline markups, RFI and field observation logs, and as-built notes for turnover. - Issue Resolution & Escalation: - Resolve constructability conflicts and field questions at the site level where possible. Generate clear RFIs with photos and drawing references when a design or scope decision is needed, and escalate cost, schedule, or safety impacts without delay. - Commissioning & Turnover Support: - Support pre-functional checks, Level 1 through Level 4 commissioning activities, and integrated systems testing. Coordinate contractor availability for scripts, witness testing where directed, and drive open-item closure through final acceptance and handoff to Data Center Operations. - Cross-functional Alignment: - Work closely with Network Engineering, Data Center Operations, HPC, Supply Chain, and Technical Project Management so that deployment, cabling, and hardware install activities land in the right sequence and space is turned over ready for GPU deployment. Ideal Candidate Profile - Comes from the trades, with a working foreman’s command of how mission-critical space actually gets built, installed, and energized. - Experienced running crews and vendors in live and occupied data center environments where uptime and adjacency risk are unforgiving. - Fluent in reading and marking up construction drawings, single lines, riser diagrams, submittals, and installation details. - Sets a visible safety standard and is comfortable stopping work and holding contractors to it, including under schedule pressure. - Detail-driven on workmanship, labeling, torque, containment, and cable management, with a low tolerance for shortcuts that create operational debt. - Organized in the field with materials, tools, laydown, and deliveries, and disciplined about documenting what happened each day. - Direct and clear communicator who can brief a project manager, challenge a contractor, and write a usable daily report. - Comfortable working with limited oversight, making sound calls on site, and knowing precisely when to escalate. - Proficient with mobile field tools, photo documentation, and punch list and project tracking platforms. - Willing to travel to project sites and to work off-hours, nights, or weekends when critical activities or outage windows require it. Top Five Requirements 1. Hands-On Data Center or Mission-Critical Field Experience: - Proven record supervising construction, fit-out, or infrastructure installation work in data centers or comparable mission-critical facilities. 2. Crew & Trade Supervision: - Demonstrated ability to direct and sequence multiple trades and vendors on a live site, holding daily accountability for scope, pace, and workmanship. 3. MEP & Low Voltage Installation Knowledge: - Practical command of electrical distribution, mechanical and cooling systems, containment, and structured cabling, with the ability to read drawings and catch field conflicts. 4. Safety Ownership: - Consistent enforcement of site safety, LOTO, energized work, and permitting requirements, with the authority and willingness to stop unsafe work. 5. Field Documentation & Reporting Discipline: - Reliable daily reporting, photo documentation, redlines, punch list management, and clear escalation to project management. Qualifications - High school diploma or equivalent required. Completed trade apprenticeship, journeyman license, technical certification, or associate degree in a construction or engineering discipline strongly preferred. - 5+ years of construction field experience, including 2+ years in a foreman, lead, or superintendent capacity. - Direct experience with data center white space fit-out, critical facility construction, or comparable industrial and mission-critical installation work. - Working knowledge of electrical, mechanical, and low voltage systems and installation practices, including power distribution, cooling, containment, and cabling. - Ability to read and interpret construction drawings, specifications, submittals, and installation instructions, and to produce accurate redlines. - OSHA 30 certification required or obtained within 90 days of hire. NFPA 70E familiarity preferred. First Aid and CPR certification a plus. - Familiarity with commissioning processes, pre-functional checklists, and punch list closeout. - Comfortable with field reporting tools and project platforms (e.g., Procore, Smartsheet, MS Project, Monday.com http://Monday.com) and with mobile photo documentation. - Able to lift, climb, work at height, and remain on foot in active construction environments for extended periods. - Willingness to travel to and work within active construction sites (~75%), including off-hours and weekend work during critical activities. - Committed to safety, quality, and continuous improvement in field execution practices. 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

5 days ago

Senior Manager, Detection and Response

Lambda · Bellevue, Washington, United States

Pay

$324k–480k

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 Bellevue, San Francisco, or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. About the Role Lambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence. Reporting to the CISO, you'll lead the Detection & Response team that acts as an intelligent backstop—ensuring Lambda is the safest place to build with AI by catching security issues in real-time while enabling our business to move at hypergrowth velocity. Your team will transform reactive security operations into a proactive threat management engine, dedicating the majority of their effort to automation, threat hunting, and capability building rather than constant firefighting. Your team will directly affect customers’ trust in the safety of their data by implementing enterprise-grade detection capabilities, automating incident response workflows, and hardening our multi-cloud and bare metal infrastructure while you are building sustainable programs where senior engineers thrive solving novel security challenges. With unique access to LLMs hosted on our own infrastructure, your team will pioneer AI-powered security solutions that wouldn't be possible anywhere else. Key priorities include 24/7 operational coverage, maintaining customer trust through rapid incident response, and delivering a comprehensive D&R strategy within your first 6 months. If you're excited about building security operations so efficient that they're "almost boring," where automation handles the routine so your team can focus on the novel, we want to talk. We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for a Senior Manager role. Your application is not a waste of our time. What You’ll Do Team Leadership & Management: - Build, hire, and lead a high-performing Detection & Response team that can scale with Lambda's hypergrowth while maintaining 24/7 operational excellence - Define team processes, culture, and operating rhythms that balance startup agility with security discipline, creating an environment where senior engineers thrive on automation and novel challenges - Conduct regular one-on-ones, provide constructive feedback, and create clear career development paths that help security engineers advance their technical and leadership skills - Drive outcomes by managing project priorities, deadlines, and deliverables while establishing our blameless post-incident culture focused on systemic improvements rather than individual accountability Technical Strategy & Execution: - Define and implement threat management frameworks that transform reactive security operations into proactive threat hunting and detection, establishing automation standards that eliminate repetitive work and enable your team to focus on novel challenges - Architect incident response processes, escalation frameworks, and triage protocols that protect Lambda from impact while scaling with the company’s growth - Guide technology choices and evangelize new security tools, including pioneering AI-powered detection capabilities using our direct access to state-of-the-art LLMs Strategic Collaboration & Business Impact: - Create data-driven insights showing where we are reacting most frequently to guide investments in preventative controls - Partner with Product and Platform engineering teams to evolve our detection and response capabilities as Lambda’s infrastructure grows - Lead cross-functional collaboration during critical events and establish executive reporting that translates technical incidents into business impact while driving blameless post-incident reviews to continuously strengthen security posture Operational Excellence & Scaling: - Drive weekly operations reviews that ensure nothing falls through the cracks while building institutional knowledge and defining repeatable processes from every incident - Define sustainable on-call rotations and operational procedures that maintain 24/7 coverage without burning out senior engineers - Establish the team's 6-month strategic roadmap for comprehensive D&R capabilities while defining success criteria and measurable outcomes What We Think a Candidate Needs to Demonstrate to Succeed - 10+ years of security experience with 5+ years leading technical teams, demonstrating ability to build and manage independently - Proven ability to define and build security programs from the ground up that accelerate business initiatives, with demonstrated experience establishing team processes, technical frameworks, and cross-functional partnerships - Excellence at building automation-first security programs where technology eliminates toil and teams never do the same thing twice - Clear understanding of the unique requirements of securing a cloud infrastructure provider - Proven ability to create sustainable team cultures where senior engineers thrive long-term rather than burning out on repetitive tasks - Strong judgment in security response, understanding real business impact and calibrating actions proportionally - Track record of translating technical security work into executive communications and business-aligned metrics - Thrives in high-ambiguity environments where you must build structure while executing at startup pace Nice to Have - Excitement about leveraging our direct access to state-of-the-art LLMs to revolutionize security operations—imagine AI-powered threat hunting, automated security report generation, and intelligent vulnerability prioritization at a scale only possible when you host the AI infrastructure yourself. - Experience building D&R programs at AI/ML companies - Track record using AI/ML for security operations automation (yes, we know it’s all brand new) - Background scaling security during hypergrowth (10x growth phases) - Deep technical background allowing hands-on contribution when needed - Experience with both build and buy decisions for security tooling - Experience driving or providing significant evidence for compliance audits, such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP. 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.

Supply Chain

5 days ago

Commodity Sourcing Manager – AI Infrastructure

Lambda · San Jose, California, United States

Pay

$203k–271k

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, San Francisco or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. About the Role We are seeking an experienced Commodity Sourcing Manager to own sourcing strategy, supplier negotiations, and supply assurance for critical commodities across our rapidly growing AI Data Center Supply Chain. This individual contributor role owns the end-to-end commercial and sourcing relationship for a defined commodity or set of commodities within the AI compute ecosystem — spanning categories such as custom silicon, GPUs/CPUs, network hardware, power and cooling infrastructure (CDUs, PDUs, racks), and memory/storage. Commodity assignments will flex based on business need, and the ideal candidate is a versatile sourcing professional capable of ramping quickly across the full range of hardware that goes into a GPU rack, rather than a specialist in a single technology domain. You will drive negotiations, manage supplier performance, and build sourcing strategies that ensure supply continuity, cost competitiveness, and scalability as our infrastructure grows. The ideal candidate combines strong general technical fluency across hardware and infrastructure components with sharp commercial instincts — equally comfortable running a multi-million to multi-billion-dollar negotiation as they are digging into component-level technical detail with engineering partners, regardless of the underlying technology. You will work closely with Engineering, Hardware, Data Center Infrastructure, Supply Chain Planning, Finance, Legal, and Operations to secure supply, optimize commercial terms, and manage risk across your assigned commodities. What You’ll Do Commodity Sourcing Strategy - Own and execute sourcing strategy for assigned commodities within the AI infrastructure stack, which may include custom silicon, GPUs/CPUs, network hardware, power/cooling infrastructure, memory/storage, or other hardware categories that go into a GPU rack. - Develop category strategies aligned to roadmap requirements, capacity forecasts, and long-term infrastructure growth, regardless of the specific technology domain. - Identify and drive supply diversification, second-source development, and risk mitigation plans for constrained or fast-scaling categories. - Build and maintain market intelligence across assigned commodities, including supply/demand dynamics, capacity constraints, technology roadmaps, and competitive landscape. - Quickly ramp technical and market fluency in new commodity areas as business needs and assignments evolve. Commercial Negotiation & Contracting - Lead commercial negotiations with hardware and component suppliers, including: - Master supply and purchase agreements - Capacity commitments and allocation frameworks - Pricing, cost-downs, and cost structures - Non-recurring engineering (NRE) and design/tooling agreements - Service, quality, and performance terms - Build and execute negotiation strategies that balance cost, supply security, and flexibility, applying consistent commercial rigor across different commodity types. - Partner with Legal and Finance to structure and finalize contracts and commercial terms. Supplier Management - Manage day-to-day and executive-level relationships with strategic suppliers across assigned commodities. - Lead supplier business reviews, scorecards, escalation management, and performance improvement plans. - Partner with suppliers on capacity planning, allocation, roadmap alignment, and supply readiness. - Serve as the primary point of contact and escalation owner for assigned commodities. CROSS-FUNCTIONAL PARTNERSHIP - Partner with Engineering and Hardware teams to translate technical and roadmap requirements into sourcing and commercial strategies, regardless of the underlying technology. - Work with Supply Chain Planning to align supplier capacity and lead times with demand forecasts. - Support new product introductions, qualification timelines, and capacity ramps across GPU rack-level hardware. - Provide commodity market insight and recommendations to leadership on sourcing risk, cost trends, and supply strategy. Risk, Cost & Supply Resilience - Develop and maintain supply continuity plans that address: - Cost optimization - Capacity availability and allocation risk - Lead-time and component-level constraints - Geographic and geopolitical risk - Supplier financial and operational risk - Proactively identify and mitigate supply risk across assigned commodities, adapting risk frameworks to the specific dynamics of each category. You - 8+ years of experience in Commodity Management, Strategic Sourcing, Procurement, or Supply Chain roles, with experience across one or more hardware or component categories relevant to data center or compute infrastructure (e.g., semiconductors, networking, power/cooling, memory/storage, mechanical/electrical systems). - Demonstrated experience negotiating and managing supply agreements with hardware component manufacturers, OEMs, or ODMs. - Ability to quickly build technical fluency in new commodity or technology areas. - Proven track record leading complex commercial negotiations and delivering measurable cost and supply outcomes. - Strong analytical, financial, and business acumen. - Experience operating in constrained, long-lead-time, high-growth supply environments. - Ability to build effective relationships with senior supplier stakeholders and internal cross-functional partners. Nice To Have - Experience sourcing across multiple commodity types within AI/ML or hyperscale data center infrastructure (e.g., silicon, networking, power/cooling, memory/storage). - Demonstrated versatility moving between commodity domains over the course of a career, rather than deep specialization in a single technology. - Experience supporting hyperscale data center or AI infrastructure programs. - Background partnering with hardware/systems engineering teams on NRE, qualification, or co-development agreements. - Bachelor's degree in Engineering, Supply Chain, Business, or related field; advanced degree a plus. We Are Looking for Someone Who Is: - A generalist sourcing professional who can ramp quickly across different hardware technologies and commodity types - Technically curious and commercially sharp — able to move fluidly between technical detail and high-stakes negotiation, regardless of domain - Data-driven, decisive, and execution-oriented - A strong relationship builder with suppliers and internal stakeholders - Comfortable operating with a high degree of ownership in a fast-growth, ambiguity-rich environment - Willing to personally drive negotiations, supplier escalations, and problem-solving day to day 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

5 days ago

Construction Administrator

Lambda · San Jose, California, United States

Pay

$155k–207k

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. Travel: 15% , Primarily a back-office role with occasional travel to data center sites. What You’ll Do As a Construction Administrator, you will be the back-office backbone of Lambda’s data center build program. You will take in contractor schedules, submittals, drawings, RFIs, and change documentation across a portfolio of concurrent projects and turn them into a single clean, current, and trustworthy picture of where every project stands. You will distill dense contractor schedules into the milestone views leadership actually uses, maintain rigorous document control across the full project lifecycle, and run the reporting cadence that keeps the DCIE team, our data center providers, and our contractors aligned. This role reports to the Data Center Implementation Manager and works daily with the Implementation Project Managers, field teams, procurement, and finance. Key Responsibilities - Schedule Distillation & Analysis: - Ingest contractor and vendor schedules across multiple concurrent projects. Extract critical path, key milestones, long-lead deliveries, and float consumption, and roll them into consolidated program-level and executive-level schedule views. Flag slippage, sequencing conflicts, and milestone risk before they surface in the field. - Master Schedule Maintenance: - Maintain Lambda’s integrated program schedule and milestone tracker. Reconcile contractor updates against baseline, maintain revision history, and keep OFCI delivery dates, commissioning windows, and capacity ready-for-service dates aligned. - Document Control: - Own the project document control system end to end: drawing registers, specifications, submittal logs, RFI logs, transmittals, meeting minutes, permits, inspection records, and as-builts. Enforce naming conventions, revision control, and access permissions so every stakeholder is working from the current set. - Submittal & RFI Administration: - Log, route, and track submittals and RFIs to the correct internal reviewers. Monitor turnaround against contractual review windows, chase overdue responses, and maintain a clean audit trail of decisions and approvals. - Change & Cost Documentation: - Track change orders, change directives, and potential change items from initiation through disposition. Maintain supporting documentation and reconcile the change log against budget trackers, purchase orders, and invoices in coordination with procurement and finance. - Reporting Cadence: - Produce the recurring reporting package: weekly project status reports, milestone dashboards, open-item and risk registers, and monthly program summaries for executive leadership. Ensure figures tie out across schedule, cost, and field reporting. - Meeting & Action Item Support: - Prepare agendas and materials for OAC, design review, and page-turn meetings. Capture minutes and decisions, publish action items with owners and due dates, and drive follow-through to closure. - Records, Turnover & Closeout: - Assemble and quality-check closeout packages including as-builts, O&M manuals, warranties, commissioning reports, and training records. Ensure complete and timely handoff to Data Center Operations and Facilities. - Systems & Process Ownership: - Administer and improve the project management and documentation platforms used by DCIE. Build templates, trackers, and automated reporting that reduce manual effort and standardize how projects are run. - Standards Library Management: - Maintain Lambda’s controlled library of Basis of Design documents, standard details, specifications, and internal procedures, keeping versions current and accessible across the team. - Cross-functional Support: - Support Network Engineering, Data Center Operations, HPC, Supply Chain, and TPM with accurate schedule and documentation inputs so downstream deployment planning is built on current data. Ideal Candidate Profile - Experienced in construction administration, project controls, or document control on complex construction or critical infrastructure programs. - Able to read a contractor schedule critically rather than just repackage it, understanding logic ties, float, critical path, and where a schedule is telling an optimistic story. - Genuinely organized, with a strong instinct for version control, naming discipline, and single sources of truth. - Comfortable with construction drawings, specifications, submittals, and RFIs, and with the vocabulary of MEP and mission-critical work. - Strong with data and reporting tools, able to turn scattered inputs into a clean dashboard without a week of manual assembly. - Persistent and diplomatic in chasing overdue responses from contractors, vendors, and internal reviewers. - Clear written communicator who can summarize status for executives without losing the detail that matters. - Self-directed and dependable on a recurring reporting cadence across multiple projects at once. - Improvement-minded, always looking to templatize and automate repetitive project administration. - Discreet and careful with confidential contract, cost, and vendor information. Top Five Requirements 1. Construction Scheduling Fluency: - Demonstrated ability to interpret, analyze, and distill contractor schedules into milestone and executive-level views, including critical path and float analysis. 2. Document Control Discipline: - Proven ownership of drawing registers, submittal and RFI logs, revision control, transmittals, and as-built and closeout documentation. 3. Project Reporting & Data Skills: - Ability to build and maintain accurate recurring status reports, dashboards, and trackers across multiple concurrent projects. 4. Tools Proficiency: - Hands-on experience with project management and documentation platforms such as Primavera P6, MS Project, Procore, Smartsheet, and advanced spreadsheet work. 5. Stakeholder Coordination & Follow-Through: - Track record of driving action items, review turnarounds, and documentation compliance across internal teams, contractors, and providers. Qualifications - Bachelor’s degree in Construction Management, Engineering, Business, or a related field (or equivalent practical experience). - 4+ years of experience in construction administration, project controls, document control, or project coordination, ideally on data center or mission-critical projects. - Working knowledge of construction schedules, including critical path method, milestones, float, and lookahead planning. - Familiarity with construction documentation workflows: drawings, specifications, submittals, RFIs, change orders, and closeout packages. - Proficiency with Primavera P6 or MS Project, plus documentation and collaboration platforms (e.g., Procore, Smartsheet, SharePoint, Google Workspace, Jira, Monday.com http://Monday.com). - Advanced spreadsheet skills, with the ability to build clean trackers, pivots, and reporting views. Experience with dashboarding or light automation is a plus. - Strong written communication and documentation skills, with attention to accuracy and consistency. - Highly organized, able to manage competing deadlines across multiple concurrent projects with minimal supervision. - Basic understanding of MEP systems and construction sequencing sufficient to interpret technical documents and ask the right questions. - Willingness to travel occasionally to data center sites (~15%) for turnover, closeout, or program milestones. - Committed to continuous improvement in project delivery, documentation standards, and reporting practices. 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.

Engineering

8 days ago

Data Center Operations Systems Engineer (San Jose)

Lambda · San Jose, California, United States

Pay

$105k–140k

Setting

On-site

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

Sales

8 days ago

Technical Account Manager

Lambda · San Francisco, California, United States

Pay

$231k–342k

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, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. The Technical Account Manager owns the technical health of the post-sales relationship for Lambda’s public cloud accounts, spanning AI-native startups, Enterprises, and Fortune 500 companies. Where the Customer Success Manager owns the commercial health of an account, you own its technical health: the customer’s workloads run well, the architecture is right, the SLA story is defensible, and technical risk is found and retired before it threatens revenue. Solutions Engineering carries the account through pre-sales and hypercare; at handoff, you take ownership of the technical relationship for the life of the contract. This is a hands-on role, not a coordination role. You will understand what customers are actually building (training runs, fine-tuning pipelines, inference services) deeply enough to lead joint POC sessions, design and defend architectures, validate SLA events at the root-cause level, and build the tooling that makes account health measurable. You will be the customer’s most credible technical advocate inside Lambda and Lambda’s most trusted technical voice inside the account. What You’ll Do - Own the technical health of your accounts. Take the technical handoff from Solutions Engineering at the end of hypercare and own the account’s technical outcomes through steady state, expansion, and renewal. Know the state of every cluster and workload you are accountable for, and keep your commercial counterparts ahead of technical risk. - Understand customer AI use cases end to end. Map what it means for each customer to train, fine-tune, and serve models on Lambda: frameworks, schedulers, parallelism strategy, data paths, and performance baselines. Build the customer user journey and convert it into value-add opportunities across the platform, documentation, and escalation routing. - Lead joint customer POC sessions. Define success criteria with the customer before a node is provisioned: acceptance thresholds, benchmarks, timelines. Own the execution plan, coordinate capacity and provisioning, run or oversee the tests, and drive the POC to a clear verdict: win the workload, close the gap through product, or qualify out. - Lead customer architecture designs. Produce and defend reference architectures spanning compute, networking, storage, connectivity, and scheduler integration (Slurm, Kubernetes). Make support boundaries explicit: what is managed and what is not. Own the design as it evolves after handoff, pulling in engineering domain experts with specific, well-framed questions. - Own SLA and reliability engineering. Build and own the canonical methodology for uptime, downtime, and credit calculation. Validate breach events at the technical level, down to the specific Ethernet or InfiniBand failure, and arm CSMs and leadership with defensible numbers. Partner with product to standardize SLA language and structure across 1CC, on-demand, and reserved offerings. - Build the tooling that makes accounts measurable. Own the technical data surfaces for customer health end to end: dashboards, telemetry and uptime history views, health scoring, and churn early-warning signals. Scope, build, and drive adoption. Replace “escalate to engineering to answer a basic question” with self-serve data for the whole GTM org. - Direct technical escalations and incidents. Serve as the technical lead during high-severity events on your accounts: drive root cause, hold the quality bar on RCAs, coordinate engineering, support, and vendors (NVIDIA, storage, networking), and give account teams a technically accurate narrative. Run proactive maintenance and known-issue communication so customers hear about problems from Lambda first. - Drive the technical voice of the customer. Run a structured feature-request pipeline into product with committed triage timelines. Audit the platform hands-on by provisioning as a customer and testing known friction points. Lead product-led POCs (for example, NVIDIA NIM) that open new value for customers. - Know the market technology landscape. Track GPU roadmaps, competing clouds and neoclouds, and the evolving training and inference stacks. Brief customers on what is coming and internal teams on where Lambda stands, and let that context shape architecture and expansion recommendations. You - 5+ years in technical account management, solutions engineering or architecture, ML engineering, technical program or product management, or infrastructure engineering with significant customer-facing scope, in cloud, HPC, or AI infrastructure. - Hands-on fluency with GPU infrastructure: able to provision, benchmark, and debug across compute, networking (InfiniBand, Ethernet), storage, and schedulers (Slurm, Kubernetes), and to read results critically. - Working command of AI/ML workloads (training, fine-tuning, inference) sufficient to map a customer’s stack, identify constraints, and lead technical conversations with their ML and infrastructure engineers. - Track record leading structured technical engagements: POCs with defined success criteria, architecture designs, benchmark programs, or high-severity escalations. - A builder’s toolkit: scripting, SQL, and dashboarding, with a history of turning operational data into tools other people depend on. - Executive-grade communication of deeply technical content, in writing and in the room. - Comfort with ambiguity and a track record of building methodology where none exists. Nice to Have - Experience at an AI cloud, neocloud, or hyperscaler serving large-scale GPU or HPC customers. - Applied LLM experience (fine-tuning, RAG systems, or inference serving) that mirrors the workloads Lambda customers run. - Depth in the NVIDIA ecosystem: NIM and NeMo, Base Command / BCM, the CUDA stack, DGX-class systems. - Familiarity with SLA structures, service credits, enterprise contract mechanics, and retention metrics (NRR/GRR). - Product management or TPM background with experience converting customer evidence into roadmap decisions. 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

8 days ago

Executive Communications Manager

Lambda · San Francisco, California, United States

Pay

$203k–270k

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.

Finance

8 days ago

Director, Treasury

Lambda · San Francisco, California, United States

Pay

$240k–320k

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.

Marketing

8 days ago

Technical Product Marketing Manager - Public Cloud

Lambda · San Jose, California, United States

Pay

$180k–240k

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. An ML team spins up an on-demand instance to prototype, outgrows it within a month, and needs a 512-GPU cluster with managed Slurm before their next training run. This role owns how Lambda meets them at every step: how the Public Cloud portfolio is positioned, packaged, launched, and enabled across self-service and sales-assisted motions. Lambda Cloud is a unified public cloud purpose-built and performance-optimized for AI workloads. The portfolio spans on-demand and reserved GPU instances, 1-Click Clusters, managed Kubernetes and Slurm, and supporting storage, networking, and platform capabilities. It serves customers ranging from AI-native startups and ML teams to enterprises and frontier labs. We're hiring a technical product marketing manager to own product marketing for the Public Cloud portfolio. You'll define how the portfolio is positioned, packaged, launched, and enabled across self-service and sales-assisted motions, working daily with product management, engineering, sales, solutions engineering, enablement, finance, and marketing. Product management owns product truth. You translate that truth into positioning, use cases, launches, and content that drive adoption and revenue. This role requires infrastructure depth. You can explain how GPU architecture, interconnect, storage throughput, data movement, orchestration, reliability, and cloud consumption models affect distributed training and inference. You can also communicate those tradeoffs to ML engineers, Enterprise architects, sales teams, and executive buyers. What You’ll Do - Own Public Cloud product marketing. Define and maintain positioning, messaging, audience segmentation, and the use-case library across the portfolio. Serve as the primary product marketing partner to the Public Cloud business unit, working with product management on roadmap context, packaging, and launch planning. - Build use cases and the portfolio GTM architecture. Translate training, fine-tuning, inference, and proof-of-concept workloads into documented, sellable use cases mapped to segment and infrastructure requirements. Establish how customers progress from on-demand evaluation to 1-Click Clusters and managed services. Clarify which offering fits each workload, segment, operational model, cluster size, and commercial commitment. - Execute product launches. Own launch execution for new product features, instance types, APIs, and managed services. Partner with product management and engineering from roadmap planning through general availability, including launch, audience definition, positioning, technical validation, content, field readiness, and post-launch analysis. - Create product-focused technical content. Produce messaging and positioning, solution briefs, datasheets, benchmark narratives, technical blogs, reference architectures, API and CLI walkthroughs, and use cases. Validate every technical claim with Product Management and Engineering. - Support sales and solutions engineering. Build discovery frameworks, qualification guidance, pitch materials, proposal content, battlecards, technical training, and competitive displacement narratives. Support active opportunities with workload- and segment-specific positioning. - Enable the broader marketing organization. Equip demand generation, growth, content, events, web, communications, and customer marketing with approved messaging, use cases, audience guidance, technical proof points, and launch materials. Review downstream content for consistency and technical accuracy. You - 7+ years of product marketing, technical marketing, product management, or related experience in cloud infrastructure, IaaS, managed services, or adjacent developer platforms - Demonstrated ownership of a technical product portfolio, including positioning, use-case development, product launches, competitive strategy, field enablement, and adoption - Deep working knowledge of AI infrastructure, with the ability to independently reason about GPU architectures, bare metal and virtualized compute, multi-node cluster topology, InfiniBand and RDMA fabrics, Ethernet networking, storage and data movement, Kubernetes and Slurm, APIs, observability, reliability, and cloud security - Demonstrated ability to produce technical content (benchmarks, whitepapers, architecture guides, datasheets, solution briefs, and technical demos) that withstands review by engineering audiences - Strong written and verbal communication across technical and GTM audiences, from engineers and infrastructure architects to sales leadership and executive buyers Nice to Have - Hands-on experience deploying AI or HPC workloads using a cloud console, API, CLI, Kubernetes, or Slurm - Familiarity with CUDA, PyTorch, NCCL, distributed training frameworks, and benchmarking methodologies such as MLPerf - Experience marketing managed Kubernetes, managed Slurm, GPU cloud infrastructure, or MLOps offerings - Previous experience as a product manager, solutions architect, infrastructure engineer, developer advocate, or technical sales engineer 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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