\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cbr />If you'd like to build the world's best deep learning cloud, join us. \u003Cbr />\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cbr />*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\u003Cbr />\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>What You’ll Do\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Guide customers through the order process, serving as main customer advocate and POC throughout procurement, assembly, and handoff while being proactive about communicating any delays. \u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Maintain detailed and continuous communication with customers, to ensure customer satisfaction, measured in CSAT and NPS surveys. \u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Partner across internal teams and external customer stakeholders, to understand customer needs, deliver on objectives and maximize retention and growth within customer accounts.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Work cross functionally to ensure any post order issues are resolved in a timely manner.\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>You\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">You have strong written and verbal skills, you have the ability to de-escalate any situation and speak transparently to our highest tier of customers. \u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You are process oriented and have a strong desire to work collaboratively to not only maintain a process but seek to improve upon it. \u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You have at least 4 years prior experience working in Customer Success or equivalent department. \u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You are an active team player, self-starter, and multitasker who can quickly adjust priorities.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You are proficient with G-Suite, Salesforce, and Slack\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Nice to Have\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Technical knowledge in manufacturing, Cloud, IT, Server, AI, ML or related fields. \u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Knowledge of Monday, Front and Vitally\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Salary Range Information \u003C/strong>\u003C/p>\u003Cp style=\"min-height:1.5em\">Based on market data and other factors, the hourly range for this position is $55.00-79.00 per hour. 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. \u003Cbr />\u003Cbr />\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>About Lambda\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Founded in 2012, ~350 employees (2024) and growing fast\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">We offer generous cash & equity compensation\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Our \u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://lambdalabs.com/research\">\u003Cu>research papers\u003C/u>\u003C/a> have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Health, dental, and vision coverage for you and your dependents\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Commuter/Work from home stipends for select roles\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">401k Plan with 2% company match (USA employees)\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Flexible Paid Time Off Plan that we all actually use\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>A Final Note:\u003C/strong>\u003C/p>\u003Cp style=\"min-height:1.5em\">You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Equal Opportunity Employer\u003C/strong>\u003C/p>\u003Cp style=\"min-height:1.5em\">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.\u003C/p>","https://jobs.ashbyhq.com/lambda/4337b580-3098-4156-b652-de8d299bb0fb",{"id":154,"name":155,"urlSafeSlug":155,"logo":156},[420],{"city":294,"region":23,"country":24},"2025-05-30T08:01:47.214Z","Candidates should have at least 4 years of prior experience working in Customer Success or equivalent department, strong written and verbal skills, the ability to de-escalate any situation, and a desire to work collaboratively to improve processes. Proficiency with G-Suite, Salesforce, and Slack is also required.","The Customer Success Manager will guide customers through the order process, serving as their main advocate and point of contact throughout procurement, assembly, and handoff, proactively communicating any delays. They will maintain detailed communication with customers to ensure satisfaction, partner across internal teams and external stakeholders to understand needs and deliver objectives, and work cross functionally to resolve post-order issues promptly.",{"employment":425,"compensation":428,"experience":429,"visaSponsorship":433,"location":434,"skills":435,"industries":442},{"type":426},{"id":197,"name":198,"description":427},"Commit to a standard 40-hour workweek, usually with full benefits.",{"minAnnualSalary":18,"maxAnnualSalary":18,"currency":202,"details":203},{"experienceLevels":430},[431],{"id":207,"name":208,"description":432},"Build upon established skills and take on more responsibility.",{"type":193},{"type":190},[436,437,438,439,440,441],"Customer Success","Communication","Problem-solving","De-escalation","Collaboration","Process Improvement",[443,445],{"id":329,"name":444},"Artificial Intelligence",{"id":329,"name":334},{"id":447,"title":448,"alternativeTitles":449,"slug":465,"jobPostId":447,"description":466,"applyUrl":467,"company":155,"companyOption":468,"locations":469,"listingDate":471,"listingSite":190,"isRemote":49,"requirements":472,"responsibilities":473,"status":193,"expiryDate":18,"summary":474},"3ea385a1-0636-4354-86df-883e624e4342","Senior Software Engineer - Managed Kubernetes",[450,451,452,453,454,455,456,457,458,459,460,461,462,463,464],"Senior Kubernetes Engineer","Lead Kubernetes SRE","Senior Go Kubernetes Developer","Senior Python Kubernetes Engineer","Kubernetes Operator Developer","Senior Site Reliability Engineer - Kubernetes","Senior Cloud Native Engineer","Kubernetes Platform Lead","Senior SRE - Managed Kubernetes","Senior Kubernetes Automation Engineer","Senior Kubernetes Control Plane Engineer","Senior Kubernetes Infrastructure Engineer","Senior SRE - Go Kubernetes","Senior Kubernetes Solutions Architect","Lead SRE - Kubernetes Operations","senior-software-engineer-managed-kubernetes-3ea385a1-0636-4354-86df-883e624e4342","# Senior Software Engineer - Managed Kubernetes (Mk8s)\n\n**Salary:** $255K - $405K\n**Location Type:** Hybrid\n**Employment Type:** Full-Time\n\n## About Lambda\n\nIn 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity. If you'd like to build the world's best deep learning cloud, join us.\n\n*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.*\n\n## About the Role\n\nWe are seeking a Senior Software Engineer to join our Managed Kubernetes (Mk8s) team. This is a hybrid role that blends deep software engineering capabilities with Site Reliability Engineering (SRE) principles. You will play a crucial role in shaping the architecture, reliability, and automation of our Kubernetes-based infrastructure, which powers mission-critical workloads across our global platform.\n\n## What You’ll Do\n\n### Software Engineering\n* Design, build, and maintain scalable control plane services, operators, and custom controllers for Kubernetes.\n* Develop automation for cluster lifecycle management (provisioning, upgrades, patching, deletion).\n* Develop internal tools, APIs, and command-line interfaces (CLIs) that enable customers and ML/AI teams to deploy and monitor inference services effectively.\n* Write resilient systems that gracefully handle failure across large-scale distributed environments.\n\n### SRE & Operations\n* Define and implement Service-Level Objectives (SLOs) and Service-Level Indicators (SLIs) for Kubernetes services, workloads, and the platform.\n* Dive into systems at a low level to solve unique cluster problems and write up your findings.\n* Assist customers with high-level Kubernetes questions and integration with applications, storage, and authentication.\n* Assist with initial cluster build-outs and validation to help identify failed hardware before customer delivery.\n* Work closely with our HPC Ops and Datacenter Ops teams on issues that require lower-level expertise or cross-functional solutions.\n* Participate in a well-managed, sustainable on-call rotation.\n\n## You Have\n\n* 6+ years of experience in software engineering or SRE roles, 3+ years leading large-scale complex projects, or tech lead experience.\n* Experience tuning Kubernetes internals and writing operators (CRDs, CSI, CNI, etc.).\n* Strong programming skills in **Go** and **Python**; experience with GitOps (e.g., ArgoCD), Helm, and Kubernetes operators.\n* Experience operating Kubernetes clusters in production environments (e.g., EKS, GKE, on-prem).\n* Deep understanding of SRE principles: incident response, chaos engineering, scaling, and reliability.\n* Proficiency in observability tools (Prometheus, Grafana, FluentBit, etc.).\n* Experience with infrastructure-as-code tools (Terraform, Pulumi) and CI/CD pipelines.\n* Solid knowledge of Linux systems, networking, containers, and cloud infrastructure.\n\n## Nice to Have\n\n* Deep Kubernetes expertise.\n* Experience with user-level restrictions and hardening (e.g. AppArmor).\n* Experience with HPC clusters, environments & tooling.\n* Experience with large-scale AI/ML training clusters.\n* Experience with machine learning/AI frameworks.\n* Expertise with hybrid or multi-cloud Kubernetes environments.\n* Familiarity with GPU, Infiniband, or high-performance computing on K8s.\n* Past contributions to CNCF projects or Kubernetes SIGs a plus.\n\n*If you don’t meet all of these requirements but believe you may be a good fit, please still apply and provide a cover letter.*","https://jobs.ashbyhq.com/lambda/1e3d7564-503a-4146-b47e-a96076a3d227",{"id":154,"name":155,"urlSafeSlug":155,"logo":156},[470],{"city":294,"region":23,"country":24},"2025-06-18T09:05:09.31Z","Candidates should possess 6+ years of experience in software engineering or SRE roles, with at least 3+ years of leadership in large-scale complex projects or as a tech lead. They must have experience tuning Kubernetes internals and writing operators (CRDs, CSI, CNI, etc.), strong programming skills in Go and Python, proficiency in GitOps (e.g., ArgoCD), Helm, and Kubernetes operators, and experience operating Kubernetes clusters in production environments (e.g., EKS, GKE, on-prem). A deep understanding of SRE principles, including incident response, chaos engineering, scaling, and reliability, is also required, along with proficiency in observability tools (Prometheus, Grafana, FluentBit, etc.) and experience with infrastructure-as-code tools (Terraform, Pulumi) and CI/CD pipelines.","The Senior Software Engineer will design, build, and maintain scalable control plane services, operators, and custom controllers for Kubernetes, develop automation for cluster lifecycle management, and create internal tools, APIs, and CLIs to enable customers to deploy and monitor inference services effectively. They will write resilient systems that handle failure in large-scale distributed environments, define and implement SLOs and SLIs for Kubernetes services, dive into systems to solve cluster problems, assist customers with Kubernetes questions, and participate in an on-call rotation. Additionally, they will contribute to initial cluster build-outs and validation, work with HPC and Datacenter Ops teams, and potentially contribute to CNCF projects or Kubernetes SIGs.",{"employment":475,"compensation":477,"experience":479,"visaSponsorship":482,"location":483,"skills":484,"industries":495},{"type":476},{"id":197,"name":198,"description":18},{"minAnnualSalary":302,"maxAnnualSalary":303,"currency":202,"details":478},"Salary range for Senior Software Engineer role",{"experienceLevels":480},[481],{"id":210,"name":211,"description":18},{"type":213},{"type":190},[485,486,487,488,489,490,491,492,493,494],"Kubernetes","Control Plane Services","Operators","Custom Controllers","Automation","Cluster Lifecycle Management","APIs","CLI Development","Distributed Systems","Site Reliability Engineering (SRE)",[496,497,498],{"id":329,"name":444},{"id":329,"name":334},{"id":329,"name":499},"Software Engineering",{"id":501,"title":502,"alternativeTitles":503,"slug":519,"jobPostId":501,"description":520,"applyUrl":521,"company":155,"companyOption":522,"locations":523,"listingDate":525,"listingSite":190,"isRemote":14,"requirements":526,"responsibilities":527,"status":193,"expiryDate":18,"summary":528},"62fa5774-a1e9-4371-a307-f9133cf2a449","Senior Cloud Solutions Engineer",[504,505,506,507,508,509,510,511,512,513,514,515,516,517,518],"Senior Cloud AI/ML Solutions Architect","Lead Cloud Infrastructure Engineer (AI/ML Focus)","Principal Cloud Solutions Engineer (Machine Learning)","Senior Cloud Solutions Architect (GPU Computing)","Cloud Solutions Engineer - AI/ML Specialist","Senior Technical Solutions Engineer (Cloud AI)","Cloud Solutions Lead (Machine Learning Infrastructure)","Senior AI Cloud Solutions Engineer","Cloud Solutions Architect - Deep Learning","Senior Cloud Engineer (MLOps)","Cloud Solutions Consultant (AI/ML)","Senior Cloud Solutions Engineer (NVIDIA GPU)","Lead Cloud Solutions Architect (AI/ML)","Senior Cloud Infrastructure Solutions Architect","Cloud Solutions Engineer - AI/ML Sales","senior-cloud-solutions-engineer-62fa5774-a1e9-4371-a307-f9133cf2a449","# Solutions Architect, AI/ML Cloud\n\n**Salary:** $249.6K - $374.4K OTE\n**Employment Type:** Full-Time\n**Location Type:** Remote\n\n## Position Overview\n\nLambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning, and inferencing AI models. We provide engineers with an easy, secure, and affordable platform to build, test, and deploy AI products at scale. Our product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds, and managed inference services, serving governments, researchers, startups, and enterprises worldwide. If you're passionate about building the world's best deep learning cloud, join us.\n\nEngineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems, as well as internal tooling for system deployment, management, and maintenance.\n\n## Responsibilities\n\n* **Advocate for Lambda’s Products:**\n * Develop and maintain expertise in Lambda’s cloud products and services.\n * Demonstrate Lambda’s software and solutions to customers, partners, and staff.\n * Create field enablement materials for technical audiences, lead workshops, and support product advocacy efforts.\n * Provide technical feedback from customers to Lambda’s product and marketing teams.\n* **Own the Technical Side of Lambda’s Sales Process:**\n * Partner with Lambda account executives to drive customer adoption and ensure successful delivery.\n * Evaluate and assess customer needs to deeply understand pain-points, bottlenecks, and expected outcomes.\n * Recommend appropriate cloud services and configurations to design cohesive solutions that support customer applications and workflows.\n * Document proposals and designs in formats including, but not limited to, presentations, white-papers, visuals, Bill of Materials, and rack elevations.\n* **Demonstrate Expertise on Lambda’s Cloud Infrastructure:**\n * Build structured and purposeful learning into your work routine.\n * Develop and support the internal Lambda community as a subject matter expert.\n * Be an expert at deploying AI/ML workloads on Lambda cloud.\n * Stay up-to-date on the latest deep learning trends, best practices, and experiment with them using internal tools and resources.\n* **Develop High-Quality Processes and Documentation:**\n * Reinforce Lambda’s culture.\n * Contribute positively throughout the organization.\n * Maintain a high level of agility and responsiveness.\n * Be hyper-focused on customer satisfaction.\n\n## Requirements\n\n* 8+ years of experience designing, deploying, and scaling cloud infrastructure.\n* 4+ years of experience as a solutions architect or in a consultative capacity supporting cloud infrastructure and services.\n* 3+ years of experience working with cloud-based AI/ML services.\n* Deep knowledge of the ML ecosystem, including common models, practical use cases, and supporting tools.\n* Experience building with modern infrastructure tools such as Docker, Kubernetes, Ansible, and Terraform.\n* Deep knowledge of cloud infrastructure, security, networking, and cost optimization techniques.\n* Experience coding in Python, C#, or similar programming languages.\n* Experience developing with NVIDIA’s GPUs.\n* Have led complex technical projects with diverse stakeholders.\n* Demonstrated impact at an organizational/multi-departmental level.\n* Experience leading complex cloud deals, influencing C-level stakeholders, and mentoring junior SEs or architects.\n* Thrive in dynamic settings and embrace radical ownership of initiatives and outcomes.\n\n## Nice to Have\n\n* Experience with AI/ML use case to algorithm selection, training, tuning, inference, and training pipeline design and build.\n* Participation in go-to-market (GTM) initiatives or product launches.\n* Experience working with LLM architectures.\n* Experience working with RESTful APIs and general service-oriented architecture.\n\n## About Lambda\n\nFounded in 2012, Lambda has approximately 350 employees (as of 2024) and is growing fast. We offer generous cash &","https://jobs.ashbyhq.com/lambda/cf68b388-6b83-4576-a5ef-86e7fd8ac23a",{"id":154,"name":155,"urlSafeSlug":155,"logo":156},[524],{"city":18,"region":18,"country":24},"2025-07-02T08:02:06.691Z","Candidates are required to possess 8 years of experience designing, deploying, and scaling cloud infrastructure, along with 4 years of experience as a solutions architect or in a consultative capacity supporting cloud infrastructure and services, and 3 years of experience working with cloud-based AI/ML services. They must have deep knowledge of the ML ecosystem, including common models, practical use cases, and supporting tools, and experience coding in Python, C#, or similar programming languages, as well as experience developing with NVIDIA’s GPUs. Furthermore, they should have led complex technical projects with diverse stakeholders and demonstrated impact at an organizational level.","The Senior Cloud Solutions Engineer will advocate for Lambda’s products by developing and maintaining expertise in their cloud offerings, demonstrating them to customers and partners, and creating field enablement materials. They will own the technical side of Lambda’s sales process by partnering with account executives, evaluating customer needs, recommending appropriate cloud services, and documenting proposals and designs. Additionally, they will demonstrate expertise on Lambda’s cloud infrastructure, develop high-quality processes and documentation, and contribute positively throughout the organization while maintaining a high level of agility and responsiveness.",{"employment":529,"compensation":531,"experience":535,"visaSponsorship":538,"location":539,"skills":540,"industries":551},{"type":530},{"id":197,"name":198,"description":18},{"minAnnualSalary":532,"maxAnnualSalary":533,"currency":202,"details":534},249600,374400,"Salary range for senior cloud solutions engineer role",{"experienceLevels":536},[537],{"id":210,"name":211,"description":18},{"type":213},{"type":213},[541,542,543,544,545,546,547,548,549,550],"Cloud Solutions","AWS/Azure/GCP","AI/ML workloads","GPU computing","System deployment","Customer engagement","Technical presentations","Solution architecture","Deep learning trends","Infrastructure management",[552,553,555],{"id":329,"name":334},{"id":329,"name":554},"AI/ML Services",{"id":329,"name":556},"GPU Hardware & Cloud Infrastructure",{"id":558,"title":559,"alternativeTitles":560,"slug":576,"jobPostId":558,"description":577,"applyUrl":578,"company":155,"companyOption":579,"locations":580,"listingDate":582,"listingSite":190,"isRemote":49,"requirements":583,"responsibilities":584,"status":193,"expiryDate":18,"summary":585},"1a6553d2-9b77-48c3-aedc-7b2dadbfe7c7","Head of Revenue Accounting",[561,562,563,564,565,566,567,568,569,570,571,572,573,574,575],"Director of Revenue Accounting","Senior Manager, Revenue Accounting","VP of Revenue Accounting","Revenue Recognition Lead","ASC 606 Accounting Director","Head of Technical Accounting - Revenue","Director, Corporate Accounting - Revenue","Revenue Accounting Controller","Senior Director of Revenue Operations Accounting","Lead Revenue Accountant","Principal Revenue Accountant","Global Head of Revenue Accounting","Senior Manager, Technical Accounting (Revenue)","Director of Financial Reporting - Revenue","Head of Revenue Compliance","head-of-revenue-accounting-1a6553d2-9b77-48c3-aedc-7b2dadbfe7c7","## About Lambda\nFounded in 2012, ~350 employees (2024) and growing fast. Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.\n\nWe offer generous cash & equity compensation. Our investors.\n\n## Role Overview\n**Employment Type:** FullTime\n**Location Type:** Hybrid\n**Note:** This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n## What You’ll Do\n- Oversee the revenue recognition process, establish scalable processes and systems, and partner with cross-functional teams including Sales, FP&A, Rev Ops, Legal, and Engineering.\n- Play a critical part in ensuring the accuracy, integrity, and compliance of all revenue-related financial reporting and operations per ASC 606 and other relevant accounting standards.\n- Own the revenue close process, including reconciliations, analyses, and reporting, ensuring SOX compliance readiness.\n- Partner with external auditors, providing detailed documentation and guidance on revenue accounting practices and technical interpretations.\n- Proactively monitor developments in revenue accounting guidance, advising leadership on potential impacts and recommending strategic implementation approaches.\n- Continuously improve and automate revenue accounting processes, controls, and systems to support scalability and efficiency.\n- Mentor, develop, and build a high-performing revenue accounting team by providing leadership and technical guidance.\n- Prepare and review disclosures related to revenue recognition in financial statements and footnotes.\n- Serve as the internal subject matter expert on revenue recognition, providing training and consultation to stakeholders across the organization.\n- Assist with ad-hoc technical accounting and financial reporting projects as needed.\n\n## You Have\n- **Experience:** 12+ years of progressive combined accounting experience with a focus on revenue recognition, mix of Big4 public accounting and in-house experience preferred.\n- **Credentials:** Hold a CPA license.\n- **Technical Expertise:** Possess deep expertise in ASC 606 revenue recognition principles, including practical implementation and technical analysis, preferably applied within the technology sector.\n- **Systems Proficiency:** Proficient in accounting systems (NetSuite preferred), advanced Excel, Salesforce and have experience with revenue automation tools.\n- **Communication:** Exceptional written and verbal communication skills with the ability to communicate effectively across all levels of the organization.\n- **Leadership Skills:** Exhibit exceptional leadership, organizational, and project-management skills.\n- **Attention to Detail:** Have a keen attention to detail and commitment to accuracy.\n- **Work Ethic:** Thrive as a proactive, strategic leader in fast-paced, evolving environments.\n- **SOX Knowledge:** Have strong knowledge of SOX requirements, including the ability to assess, develop and implement internal controls.\n\n## Nice to Have\n- Experience working in an accounting firm's national office or accounting advisory practice.\n- Experience leading revenue accounting in companies with SaaS, consumption-based, or AI-driven business models ideally with a pre-IPO or public company.\n- Demonstration of continuous system and process improvement through periods of hyper growth.\n- Strong background of establishing relationships with cross-functional business partners.\n- Demonstrated success simplifying and scaling complex revenue accounting processes.\n- Ability to manage ambiguity and make informed decisions with limited oversight.\n\n## Salary Range\n**Salary:** $255K - $383K\nBased on market data and other factors, the annual salary range for this position is $255,000 - $383,000. 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.","https://jobs.ashbyhq.com/lambda/47f8615e-735a-442a-966f-01ab76f7c573",{"id":154,"name":155,"urlSafeSlug":155,"logo":156},[581],{"city":22,"region":23,"country":24},"2025-07-16T08:02:12.596Z","Candidates must possess 12+ years of progressive accounting experience with a focus on revenue recognition, preferably with a mix of Big 4 public accounting and in-house experience. A CPA license is required, along with deep expertise in ASC 606 revenue recognition principles and practical implementation, ideally within the technology sector. Proficiency in accounting systems like NetSuite, advanced Excel, Salesforce, and revenue automation tools is necessary. Strong leadership, organizational, project management, communication, and attention to detail skills are essential, as is a proactive, strategic approach to problem-solving in fast-paced environments. Familiarity with SOX requirements and control development is also required.","The Head of Revenue Accounting will oversee the revenue recognition process, establish scalable processes and systems, and collaborate with cross-functional teams including Sales, FP&A, Rev Ops, Legal, and Engineering. This role is critical for ensuring the accuracy, integrity, and compliance of all revenue-related financial reporting and operations per ASC 606. Responsibilities include owning the revenue close process, partnering with external auditors, monitoring revenue accounting guidance, and continuously improving/automating revenue accounting processes. The Head of Revenue Accounting will also prepare and review disclosures related to revenue recognition, serve as the internal subject matter expert, and mentor a high-performing revenue accounting team.",{"employment":586,"compensation":588,"experience":590,"visaSponsorship":595,"location":596,"skills":597,"industries":608},{"type":587},{"id":197,"name":198,"description":18},{"minAnnualSalary":302,"maxAnnualSalary":589,"currency":202,"details":18},383000,{"experienceLevels":591},[592],{"id":593,"name":594,"description":18},"de6fc08d-b7f4-4514-8560-7f69a3611e1e","Expert & Leadership (9+ years)",{"type":213},{"type":190},[598,599,600,601,602,603,441,489,604,605,606,607],"Revenue Recognition","ASC 606","SOX Compliance","Financial Reporting","Auditing","Technical Accounting","Team Leadership","Mentoring","Financial Statements","Footnotes",[609,610,611,612],{"id":329,"name":334},{"id":329,"name":444},{"id":153,"name":152},{"id":329,"name":613},"GPU Cloud",{"id":615,"title":616,"alternativeTitles":617,"slug":633,"jobPostId":615,"description":634,"applyUrl":635,"company":155,"companyOption":636,"locations":637,"listingDate":639,"listingSite":190,"isRemote":49,"requirements":640,"responsibilities":641,"status":193,"expiryDate":18,"summary":642},"0febf45c-e085-4901-b5ff-515c69e2dc92","HR Operations Team Lead",[618,619,620,621,622,623,624,625,626,627,628,629,630,631,632],"HR Operations Manager","HR Operations Supervisor","HR Operations Lead","Senior HR Operations Specialist","HR Operations Coordinator Lead","HR Operations Process Lead","HR Operations Service Lead","HR Operations Administration Lead","HR Operations Compliance Lead","HR Operations Employee Experience Lead","HR Operations Payroll Benefits Lead","HR Operations HRIS Lead","HR Operations Policy Lead","HR Operations Team Manager","HR Operations Program Lead","hr-operations-team-lead-0febf45c-e085-4901-b5ff-515c69e2dc92","## Job Details\n- **Salary:** $237K - $338K\n- **Location Type:** Hybrid\n- **Employment Type:** FullTime\n\n## About Lambda\nLambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.\n\n**Note:** This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n## About the People Team\nThe People Team at Lambda is building the kind of company we all want to work for. We move fast, cut through noise, and care deeply—about clarity, fairness, growth, and getting the details right. From hiring to offboarding (and everything in between), we make sure every Lambda has the support, tools, and structure to thrive. Our scope includes recruiting, rewards, L&D, employee relations, communications, and culture—all the things that shape a great place to work.\n\n## About the Role: HR Operations Team Lead\nThe HR Operations team is engaged in the administration of a broad range of HR activities associated with the employee lifecycle. The team acts as the first point of contact for queries from managers and staff across the company and also provides a comprehensive administrative support service to the HR team, supporting all projects undertaken with the HR Department. As the HR Operations Team Lead at Lambda, you will be responsible for leading the provision of a high quality and responsive HR Service, maintaining accurate data in the HRIS and automating workflows, and optimizing existing HR processes for scalability, sustainability, and simplicity.\n\n## What You’ll Do\n- Champion Lambda’s culture, company mission, purpose and values to all team members\n- Lead HR Operations team (one direct report) to deliver excellent HR operations customer service\n- Establish, update, and enforce company policies\n- Assume ownership of the new hire onboarding experience including all pre-boarding communications, day one activities coordination, and seamless cultural immersion\n- Maintain up-to-date digital files / records for employees in shared HR drive, as well as HRIS’, and other knowledge management tools\n- Execute and oversee payroll and benefit administration\n- Act as a main point of contact for all employees for HR, Benefits, and policy related questions via the HR shared email and or ticketing system\n- Ensure all federal/state/city required posters (wages, FMLA, CFRA, etc.) are posted onsite\n- Support compliance with regulatory annual filings, reportings, and employee communications\n- Be the departmental lead for designated compliance areas such as immigration as well internal and external compliance audits\n- Implement and optimize HR ticketing system\n- Maintain documentation of all HR standard operating procedures\n- Execute and oversee all rotating employee check-ins to manage employee advocacy and conflict resolution\n- Perform other duties/responsibilities as assigned\n\n## Qualifications You Have\n- A Bachelor’s Degree or equivalent experience (1 year of work experience for every school year)\n- 8-10 years of experience in HR Operations roles\n- 5+ years of experience in people management\n- Proficiency in instructional design for in-person, virtual, and on-demand formats\n- Excellent communication, time management, and organizational skills\n- Ability to maintain high degrees of integrity handling sensitive and confidential information daily\n- Proficiency in establishing, implementing, and enforcing company policies\n- Ability to collaborate, navigate ambiguity, and adapt to change, and balance multiple priorities in a fast-paced environment\n- Strong relationship building and networking skills\n- Ability to manage ambiguity across multiple priorities and to know when to escalate issues for final resolution\n\n## Nice to Have\n- Experience in the technology industry","https://jobs.ashbyhq.com/lambda/6c50043e-572b-4fc2-bd27-73450b9858d3",{"id":154,"name":155,"urlSafeSlug":155,"logo":156},[638],{"city":294,"region":23,"country":24},"2025-07-23T07:16:41.536Z","Candidates should possess a Bachelor's Degree or equivalent experience, with 8-10 years in HR Operations and 5+ years in people management. Proficiency in instructional design, excellent communication, time management, and organizational skills are essential. The role requires a high degree of integrity in handling sensitive information, proficiency in policy implementation, and the ability to collaborate, adapt to change, and manage multiple priorities in a fast-paced environment. Strong relationship-building skills are also necessary, along with the ability to manage ambiguity and escalate issues appropriately. Experience in the technology industry is a plus.","The HR Operations Team Lead will champion Lambda's culture and mission, leading the HR Operations team to deliver excellent customer service. Responsibilities include establishing and enforcing company policies, owning the new hire onboarding experience, and maintaining accurate employee records in HRIS. The role involves executing and overseeing payroll and benefit administration, acting as a primary point of contact for HR-related queries, and ensuring compliance with all federal, state, and city regulations. Additionally, the lead will manage departmental compliance areas, implement and optimize the HR ticketing system, maintain documentation of HR procedures, and oversee employee check-ins for advocacy and conflict resolution.",{"employment":643,"compensation":645,"experience":648,"visaSponsorship":652,"location":653,"skills":654,"industries":667},{"type":644},{"id":197,"name":198,"description":18},{"minAnnualSalary":646,"maxAnnualSalary":647,"currency":202,"details":18},237000,338000,{"experienceLevels":649},[650,651],{"id":210,"name":211,"description":18},{"id":593,"name":594,"description":18},{"type":213},{"type":190},[655,656,657,658,659,604,660,661,662,663,664,665,666],"HRIS","HR Operations","Process Optimization","Workflow Automation","Employee Lifecycle Management","HR Administration","Recruiting","Rewards","Learning & Development","Employee Relations","Communications","Company Culture",[668,669,670,671],{"id":329,"name":334},{"id":329,"name":444},{"id":153,"name":152},{"id":672,"name":673},"7cb8f31d-5490-4ab3-a4ee-750ac6d23278","Hardware",{"id":675,"title":676,"alternativeTitles":677,"slug":693,"jobPostId":675,"description":694,"applyUrl":695,"company":155,"companyOption":696,"locations":697,"listingDate":699,"listingSite":190,"isRemote":14,"requirements":700,"responsibilities":701,"status":193,"expiryDate":18,"summary":702},"e72d6be4-68c9-46c9-b629-eadf2ffb2fe4","Manager, Support Response",[678,679,680,681,682,683,684,685,686,687,688,689,690,691,692],"Technical Support Manager AI","AI Support Team Lead","Cloud Support Manager","GPU Computing Support Lead","24/7 Technical Support Manager","NOC Manager","Technical Support Operations Manager","Customer Support Manager Linux","AI/Cloud Technical Support Lead","Support Response Lead","Technical Support Supervisor AI","Senior Technical Support Manager","Global Support Manager AI","Technical Support Escalation Manager","AI Platform Support Manager","manager-support-response-e72d6be4-68c9-46c9-b629-eadf2ffb2fe4","Salary: $160K - $240K\n\nLocation Type: Remote\n\nEmployment Type: FullTime\n\n\u003Cp style=\"min-height:1.5em\">We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be.\u003Cbr />\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cbr />If you'd like to build the world's best deep learning cloud, join us. \u003Cbr />\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>About the role\u003C/strong>\u003C/p>\u003Cp style=\"min-height:1.5em\">At Lambda Labs, we are seeking a driven and experienced Support Manager to lead our dynamic support response team. As a Support Manager at Lambda Labs, you will play a pivotal role in ensuring the highest level of customer satisfaction by overseeing the resolution of technical issues, providing guidance to support staff, and implementing strategies to optimize support operations.\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Cp style=\"min-height:1.5em\">Must be flexible in working nights and weekends as needed, as well as maintaining an on-call schedule.\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>What You'll Do\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Collaborate with the Director of Customer Support to support the development and coaching of the Support Response team, ensuring they consistently deliver outstanding customer experiences.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Ensure 24/7 monitoring and support of all customer tickets, monitoring platforms, and applications.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Ensure first response SLA’s are achieved for customer cases.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Develop and implement standard operating procedures for issue triage, resolution, and escalation.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Coordinate with different teams (support, engineering, etc) for efficient problem resolution.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Support the Customer Support team by participating in and leading training sessions, team meetings, and addressing roadblocks\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Ensure that departmental policies, procedures, and documentation accurately reflect best practices, making necessary changes or modifications as needed.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Review, create, and distribute support metrics to track team performance and customer satisfaction, constantly seeking opportunities for improvement in support processes and practices.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Assist in developing workflows and procedures for the team based on industry-standard frameworks.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Manage 24/7 schedules for direct reports, including coordinating coverage for time-off requests and approving timesheets.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Participate in the hiring process for support team candidates.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Conduct performance reviews for members of the Customer Support team.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Lead by example, actively engaging in resolving customer cases while maintaining the necessary technical knowledge to function effectively as a team member.\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>You\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Have an understanding of AI development, GPU computing, and Cloud computing technologies\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Have 2 years experience in a technical team leadership or managerial role\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Have the ability to evaluate and optimize support processes and workflows, identifying areas for improvement, with a record of successfully implementing changes to enhance efficiency and productivity\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You are someone who pays attention to detail and has the ability to follow instructions\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You are action-oriented and have a strong willingness to learn\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Have experience supporting customers in a Linux environment\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Have experience building and leading a 24/7 technical support organization or NOC\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Have experience with monitoring and alerting systems.\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Nice to have\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience with GPU Cloud Services\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience Supermicro & Nvidia hardware\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience using and/or administering Zendesk / Jira\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience scaling support teams and handling customer escalations\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience with digital operations platforms like PagerDuty, \u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"http://Incident.io\">Incident.io\u003C/a>, or Ops Genie\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Salary Range Information\u003C/strong>\u003C/p>\u003Cp style=\"min-height:1.5em\">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.\u003Cbr />\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>About Lambda\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Founded in 2012, ~400 employees (2025) and growing fast\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">We offer generous cash & equity compensation\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Our \u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://lambdalabs.com/research\">\u003Cu>research papers\u003C/u>\u003C/a> have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Health, dental, and vision coverage for you and your dependents\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Wellness and Commuter stipends for select roles\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">401k Plan with 2% company match (USA employees)\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Flexible Paid Time Off Plan that we all actually use\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>A Final Note:\u003C/strong>\u003C/p>\u003Cp style=\"min-height:1.5em\">You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Equal Opportunity Employer\u003C/strong>\u003C/p>\u003Cp style=\"min-height:1.5em\">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.\u003C/p>","https://jobs.ashbyhq.com/lambda/75b8a0ad-dc69-4829-9dd1-5737ee06d426",{"id":154,"name":155,"urlSafeSlug":155,"logo":156},[698],{"city":18,"region":18,"country":24},"2025-09-23T07:17:37.525Z","Candidates must have an understanding of AI development, GPU computing, and cloud computing technologies. A minimum of 2 years of experience in a technical team leadership or managerial role is required, along with the ability to evaluate and optimize support processes and workflows. Experience supporting customers in a Linux environment and experience building and leading a 24/7 technical support organization or NOC are also necessary. Experience with monitoring and alerting systems is required, and candidates must be flexible in working nights and weekends as needed, maintaining an on-call schedule.","The Support Manager will collaborate with the Director of Customer Support to develop and coach the Support Response team, ensuring outstanding customer experiences. They will ensure 24/7 monitoring and support of all customer tickets, platforms, and applications, and achieve first response SLA's for customer cases. Responsibilities include developing and implementing standard operating procedures for issue triage, resolution, and escalation, and coordinating with different teams for efficient problem resolution. The manager will also participate in and lead training sessions, address roadblocks, and ensure departmental policies reflect best practices. They will review, create, and distribute support metrics, assist in developing workflows, manage 24/7 schedules, participate in hiring, conduct performance reviews, and actively engage in resolving customer cases.",{"employment":703,"compensation":705,"experience":708,"visaSponsorship":712,"location":713,"skills":714,"industries":723},{"type":704},{"id":197,"name":198,"description":427},{"minAnnualSalary":706,"maxAnnualSalary":707,"currency":202,"details":18},160000,240000,{"experienceLevels":709},[710],{"id":593,"name":594,"description":711},"Leverage deep expertise and lead strategic initiatives.",{"type":213},{"type":213},[715,716,604,717,718,441,719,720,721,722],"Customer Support","Technical Support","Problem Solving","SLA Management","Customer Satisfaction","Training","Monitoring","Escalation",[724,725,727],{"id":329,"name":394},{"id":329,"name":726},"Deep Learning",{"id":329,"name":334},["Reactive",729],{"$ssite-config":730},{"env":731,"name":732,"url":733},"production","nuxt-app","https://jobo.world",["Set"],["ShallowReactive",736],{"company-Lambda":-1,"company-jobs-3f6c167c-078f-4a60-86c3-4714ab0f7e32-carousel":-1},"/company/Lambda",{}]