Jobs - Jobs4Americans

We're a cash flow management platform with embedded financing that gives B2B technology vendors the power to offer flexible payment terms to customers while securing upfront payment. Finance leaders use Gynger to combine actionable insights with capital, optimizing day to day cash flow, accelerating deal cycles, mitigating risk, and executing on long term strategy.

We're building the rails that financed tech B2B deals will run on. Our AI agents sit inside the credit and risk function, embedded directly in the sale, giving buyers buy-now-pay-later flexibility on their technology purchases while vendors get paid upfront.

Founded in 2021 and headquartered in NYC, Gynger has raised $20M in Series A funding with investment from Gradient Ventures, Velvet Sea, BAG Ventures, MXV Capital and others.

For the third year running, Gynger has been recognized as one of Built In's Best Places to Work 2026.

The Role

We're building the AI-native infrastructure for tech financing, and we're looking for a Senior Software Engineer who builds with AI, not just around it.

You'll help architect and develop the agentic systems that run our credit risk function — underwriting, risk monitoring, collections, and payments — as complete processes an agent can carry from start to finish, rather than a single feature layered on top of a workflow. You'll work across the stack, with particular depth on the backend: scalable APIs, thoughtful data architecture, and services built to support real financial workflows. You'll also help shape how we build, bringing modern AI-assisted development practices into our everyday work and helping our engineering standards evolve alongside the tools themselves.

This is a role for someone who wants a hand in shaping the product, the architecture, and the way the team works, not just executing what's already been decided.

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

Engineering

5 days ago

Security engineer, detection and response

Writer · San Francisco, California, United States

Pay

$132k–258k

Setting

Hybrid

Apply Sign in to favorite Permalink

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role Join WRITER's security team as a staff detection and response engineer and help protect the AI infrastructure that's transforming how the world works. You'll build sophisticated detection systems that identify attacks targeting our AI platform, training data, and model deployments while creating automated response capabilities that scale with our explosive growth. This isn't just traditional security work – you're defending cutting-edge AI/AGI systems against adversaries who are evolving their tactics as fast as AI itself advances. This role combines hands-on security engineering with strategic thinking to stay ahead of novel threats that don't exist in textbooks yet. You'll be the operational arm of our security function, translating threat intelligence into real-time detections, coordinating incident response across multiple teams, and hunting for sophisticated attacks across GPU clusters and distributed training environments. If you're excited by the challenge of securing systems that are fundamentally different from anything you've protected before, this is your opportunity to define what AI security engineering looks like at scale. You'll work closely with our AI Security research team, Cloud Infrastructure, Software Security Engineering, and AI researchers to build a defense-in-depth strategy that protects one of the most valuable AI platforms in the industry. The threats are real, the stakes are high, and the problems are intellectually fascinating. This role can be based out of our San Francisco or Seattle office, reporting to our head of security operations. 🦸🏻‍♀️ What you’ll do - Design and implement detection strategies that identify AI-specific threats including prompt injection, model extraction, data poisoning, adversarial examples, and unauthorized access to training datasets or model weights across our distributed infrastructure - Build automated response playbooks and orchestration workflows that contain threats without human intervention, creating self-healing security systems that reduce mean time to response from hours to minutes while automatically remediating compromised inference endpoints - Lead security incident response coordination across all teams (Cloud, AppSec, Enterprise, AI Security) when AI infrastructure or models are compromised, conducting forensic investigations on training pipeline attacks and model manipulation attempts while drafting clear incident communications for engineering and executive leadership - Hunt proactively for sophisticated threats across GPU clusters and training infrastructure by analyzing model outputs for signs of compromise, reproducing AI-specific vulnerabilities from security research, and identifying visibility gaps in distributed training environments before adversaries exploit them - Build detection-as-code frameworks with version control and automated deployment, onboard telemetry from AI training infrastructure and inference endpoints, and create dashboards that track model security metrics, GPU utilization patterns, and access to sensitive research data - Collaborate cross-functionally as the operational security partner for all teams – translating AI Security's threat research into production detections, monitoring Cloud Infrastructure's GPU clusters for threats, detecting customer-impacting incidents for Software Security Engineering, and enabling responsible AI development through security guardrails - Maintain 24/7 on-call rotation for critical AI security incidents, responding to real-time threats targeting our platform while continuously improving detection coverage and automation capabilities as our AI systems evolve ⭐️ What you need - 3-5+ years in security operations, detection engineering, or incident response with a proven track record of identifying and stopping sophisticated attacks in production environments, specifically securing AI/ML infrastructure, high-performance computing environments, or other distributed systems at scale - Strong programming skills in Python, KQL, SPL, or similar languages that allow you to build custom detection logic, automate response workflows, and create tools that operationalize security at scale across cloud-native and distributed computing environments - Experience with SIEM platforms, detection technologies, and forensic investigation techniques with demonstrated ability to build detection for novel attack techniques that don't have established patterns yet and to conduct forensics in complex distributed environments - Self-directed execution mindset with a track record of securing high-value intellectual property, automating incident response in complex environments, and identifying critical security gaps through proactive threat hunting before they become incidents - Deep alignment with WRITER's values – you naturally Connect across security, infrastructure, and AI research teams to build comprehensive defenses, you Challenge assumptions about what's possible in AI security engineering, and you Own the protection of our AI platform with unwavering accountability and a commitment to staying ahead of evolving threats 🍩 Benefits & perks (US Full-time employees) - Generous PTO, plus company holidays - Medical, dental, and vision coverage for you and your family - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Flexible spending account and dependent FSA options - Health savings account for eligible plans with company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation, company stock options and 401k WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice https://writer.com/legal/candidate-privacy-notice/.

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

Engineering

5 days ago

Senior Software Engineer

Gynger · New York City, NY

Pay

$175k–215k

Setting

On-site

Apply Sign in to favorite Permalink

Gynger is the agentic credit risk function for tech CFOs - unlocking embedded financing at the speed and scale of tech.

Founded in 2021 and headquartered in NYC, Gynger has raised $20M in Series A funding with investment from Gradient Ventures, Velvet Sea, BAG Ventures, MXV Capital and others.

For the third year running, Gynger has been recognized as one of Built In's Best Places to Work 2026.

The Role

We're building the AI-native infrastructure for tech financing, and we're looking for a Senior Software Engineer who builds with AI, not just around it.

This is a role for someone who wants a hand in shaping the product, the architecture, and the way the team works, not just executing what's already been decided.

Listed by Gynger 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

Apply Sign in to favorite Permalink

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.

Engineering

5 days ago

Infrastructure engineer

Writer · New York City, New York, United States

Pay

$140k–274k

Setting

Hybrid

Apply Sign in to favorite Permalink

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role At WRITER, our mission to expand human capacity with superintelligence relies on a foundational truth: our platform must be available, performant, and reliable, 24/7. As an Infrastructure engineer, you'll be at the heart of making this a reality, impacting every enterprise customer who trusts us with their AI-powered workflows. This isn't just about keeping the lights on; it's about pushing the boundaries of what's possible, proactively identifying and solving complex systemic challenges, and laying the groundwork for our rapid growth and the evolving demands of enterprise generative AI. You'll build resilient systems, automate across the stack, and champion reliability best practices, directly enabling our ambitious product roadmap and ensuring our customers always have access to the powerful tools they need. This is a hybrid position, based out of our New York City, San Francisco, Seattle, or London hubs. You'll report to our director of engineering. 🦸🏻‍♀️ What you'll do Technical - Breadth across disciplines. Bring deep focus to one problem at a time, with the breadth to move between SRE, DevOps, Infrastructure, and Platform work over a quarter or two as the leverage shifts. This is not a thrash-every-week role — most of the time you're heads-down on one substantial initiative (the on-call posture, the release pipeline, the multi-region Terraform layout, the internal platform surface). Cross-layer fluency is what lets you pick the right next initiative; it isn't a weekly context-switch. - Simplicity / via negativa. Challenge the status quo and remove toil before adding features — automate operational tasks and infrastructure management with Python or Go, reject tools that don't fit the problem, and treat manual on-call work as a defect to be designed out, not a status quo to be staffed up. - Breadth across the stack. Design scalable, fault-tolerant infrastructure across AWS (preferred), GCP, and Azure, working fluently across Kubernetes, Helm, Terraform, and the supporting cloud and AI tooling that backs WRITER's high-traffic platform. - AI in workflow. Run agents in your daily loop — Claude Code, Droid, Codex, internal skills — to investigate incidents, draft Terraform / Helm changes, write runbooks, scaffold tooling, and review PRs. Build the agentic setup as a collective surface: humans and digital teammates working as one team, with shared skills, shared context, and shared on-call workflows. Encode recurring infra tasks as internal skills any teammate (human or agent) can pick up and run, so the team's throughput compounds — not just your own. - Debugging fluency. Lead incident response, post-mortems, and root-cause analyses — trace failures to the underlying problem (never the symptom), apply the learning back into the architecture, and prevent the same incident from happening twice. Non-technical - End-to-end ownership. Own the reliability, performance, and efficiency of WRITER's core services end-to-end — define and uphold the SLOs and error budgets, carry the on-call pager, and stand behind the outcome metric, not just the system you shipped. - Strategic vs. tactical balance. Balance this week's critical work with the 6–12-month platform direction — ship the on-call-driving fix today while shaping the multi-year observability, cost, and reliability investments that move WRITER's enterprise customers. - Cross-functional collaboration. Operate at the seams with product, security, and engineering peers — provide expert guidance on system design for reliability, performance, and scalability from conception through launch, Connect the infra agenda to product and revenue context, and disagree with evidence, not volume. ⭐️ What you need Technical - Track record. 5+ years of experience in infrastructure engineering, DevOps, or a similar role focused on building and operating large-scale, high-availability production systems at a high-growth product company. - Breadth. Experience running containerisation in production (a real cluster, not a lab), with experience in Helm and Terraform or Pulumi on at least one major cloud (AWS preferred), plus good proficiency in Python or Go for automation and tooling. - AI in workflow. AI is part of how you ship, not a thing you've read about — agentic tooling (Claude Code, Droid, Codex, internal skills) is in your daily loop, you've built or adopted AI-assisted workflows others now use, and you have strong opinions on where it's unreliable. This is a hard requirement, not a bonus. Candidates whose actual daily workflow does not already include AI tooling will not be advanced. - First-principles + decision-making. Demonstrated ability to Challenge the status quo, proactively identify systemic weaknesses, and propose innovative solutions to complex reliability problems — reason from constraints and failure modes (not analogy or vendor defaults), name the tradeoff in business terms (reliability vs. velocity, cost vs. blast radius, standardisation vs. one-off), and reject the "best practices" answer when it doesn't fit the problem. - Reversibility & blast-radius. Make reversible calls by default — write the rollback before you touch production, work fluently with monitoring and logging stacks (Prometheus, Grafana, ELK or equivalent), and stress the system in safe places so it comes back stronger. Non-technical - Cross-functional collaboration. Excellent communication, collaboration, and problem-solving skills, with a talent for building strong relationships and Connecting with cross-functional teams — surface non-goals before anyone asks, and partner with product, security, and platform peers as one delivery surface. - Autonomy & end-to-end ownership. A strong sense of ownership and accountability, eager to Own mission-critical systems and drive them toward peak performance and unparalleled reliability. At least one 0-to-1 infrastructure build you owned end-to-end, with the outcome metric attached. 🎁 Bonus if you have - Software-engineering depth. A software-engineering background, not only config and scripting — you've designed, built, and shipped non-trivial production code (services, libraries, internal frameworks) in Python, Go, or a comparable language, you can read and modify the codebases your infrastructure runs, and you move between infra automation and feature engineering without changing brains. 🍩 Benefits & perks (US Full-time employees) - Generous PTO, plus company holidays - Medical, dental, and vision coverage for you and your family - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Flexible spending account and dependent FSA options - Health savings account for eligible plans with company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation, company stock options and 401k WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice https://writer.com/legal/candidate-privacy-notice/.

Listed by Writer 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

Apply Sign in to favorite Permalink

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

Apply Sign in to favorite Permalink

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.

Engineering

5 days ago

Security engineer, application security

Writer · New York City, New York, United States

Pay

$132k–258k

Setting

Hybrid

Apply Sign in to favorite Permalink

🚀 ABOUT WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 ABOUT THE ROLE This is where security meets innovation at enterprise scale. As a security engineer, applications at WRITER, you'll be building the security foundations that protect the AI systems powering some of the world's most recognizable brands. You'll work at the intersection of application security, AI infrastructure, and developer enablement—partnering with engineering teams to embed security into every line of code while ensuring our platform remains both powerful and trustworthy. The opportunity is massive: you'll help define how enterprise AI applications are secured, from threat modeling our LLM architectures to building automated security controls that scale across our growing platform. This isn't about saying "no"—it's about finding creative ways to say "yes, and here's how we do it securely." You'll tackle challenges that most security engineers never encounter: securing AI agents, protecting training data pipelines, and designing controls for systems that didn't exist a few years ago. This role is hybrid from our New York City, San Francisco, or Seattle offices, reporting to the head of security engineering. 🦸🏻‍♀️ WHAT YOU'LL DO - Build security into the DNA of our AI platform by conducting threat modeling sessions with product teams, designing secure architectures for new features, and ensuring security considerations shape product decisions from day one—not after the fact - Own and evolve our application security program including establish and maintain SAST/DAST scanning in CI/CD pipelines, conducting security code reviews for critical changes, and building automation that catches vulnerabilities before they reach production - Partner with engineering teams to establish and champion secure coding standards, creating reusable security patterns and libraries that make it easier for developers to build securely by default - Design and recommend security features and products that help secure customer environments. You are the advocate and the vision for how we protect and secure customers.. - Integrate and leverage AI agents to help increase velocity for the security team and the overarching engineering org to ensure that we are proactive in minimizing risk while we build products - Lead security assessments and penetration testing of WRITER's applications, AI services, and APIs, identifying vulnerabilities across our tech stack and working collaboratively with teams to remediate issues at scale - Design and implement security controls for protecting data pipelines, model training environments, and customer-facing AI agents - Stay ahead of emerging threats in the AI/ML security landscape, researching attack vectors specific to LLMs and generative AI, and proactively building defenses against novel risks ⭐️ WHAT YOU NEED - Minimum 4 years of hands-on experience in application security engineering, with a proven track record of securing large-scale production systems—bonus points if you've worked in fast-growing startups or high-growth environments - Understanding of developer experience and developer workflows for shipping features and products. You care deeply about reducing risk while considering velocity of engineers. - Technical expertise in at least two programming languages (Python, Java, Go, JavaScript/TypeScript) and the ability to read and review code across multiple languages, understanding both business logic and security implications - Knowledge of security tools and methodologies including SAST/DAST solutions, vulnerability management platforms, security testing frameworks, and DevSecOps practices—you know which tools to use and when automation beats manual review - Excellent communication skills that allow you to translate complex security concepts into clear recommendations for both technical and non-technical audiences—you can explain why something matters and motivate teams to action - A builder's mindset that looks for opportunities to automate, scale, and empower rather than create bottlenecks—you understand that security enables the business, not blocks it - Alignment with WRITER's values of Connect (building strong relationships across teams), Challenge (pushing the boundaries of what's possible in AI security), and Own (taking end-to-end responsibility for the security of our platform) - *This role is open to Mid, Sr. and Staff level candidates 🍩 Benefits & perks (US Full-time employees) - Generous PTO, plus company holidays - Medical, dental, and vision coverage for you and your family - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Flexible spending account and dependent FSA options - Health savings account for eligible plans with company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation, company stock options and 401k WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice https://writer.com/legal/candidate-privacy-notice/.

Listed by Writer 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

Apply Sign in to favorite Permalink

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.

Select a role

The full posting opens here — pay, setting and the full description, without leaving the list.