--- title: 'Senior Analyst - Investor Relations at Lambda' canonical: 'https://feeny.ai/job/senior-analyst-investor-relations-lambda-san-francisco-k9fx1taykgcb' type: 'job' last_seen: '2026-10-18' --- # Senior Analyst - Investor Relations at Lambda - **Company:** Lambda - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-16 - **Last confirmed live:** 2026-10-18 - **Apply:** https://jobs.ashbyhq.com/lambda/ee4920c8-7454-4163-ac9d-88f547ceb53c ## Job description Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday. ## About the Role We are seeking a Senior Analyst, Investor Relations to provide the research, financial analysis, preparation, and operational backbone of the Investor Relations team. This person will be closely involved in a key company function, working directly with senior leadership and playing a meaningful part in laying the foundation for a strong investor relations program as Lambda grows. It is an ideal role for someone eager to build deep expertise in investor relations, finance, and capital markets. ## What You'll Do Investor Communications & Earnings Support - Own and maintain the company materials used in investor conversations and capital raises, including investor presentations, company overviews, fact sheets, data room materials, and key metrics, keeping them accurate, current, and consistent. - Provide research, analytical, and administrative support in the preparation of quarterly earnings materials, including presentation decks, executive briefing documents, Q&A materials, and earnings call support materials. - Assist in the collection, organization, and review of information used in earnings releases, investor presentations, earnings call materials, and other investor communications. Market Intelligence & Research - Monitor industry trends, competitors, capital markets activity, and broader market developments, and summarize key insights for the Investor Relations team and executive leadership. - Support peer company, market, and competitive analysis through research, data collection, and preparation of recurring reports and summaries. - Compile and summarize analyst commentary, investor feedback, and key themes emerging from investor meetings, conferences, and industry events. - Perform ad hoc research projects on company performance, industry developments, competitors, and capital markets topics. Executive & Investor Support - Prepare briefing materials, background research, meeting agendas, and summaries for executive meetings with investors, analysts, lenders, and other external stakeholders. - Prepare recurring reports and dashboards covering investor activity, market intelligence, peer developments, and other investor relations metrics. - Track investor interactions, maintain records of meetings and follow-up items, and help ensure timely execution of investor-related requests and commitments. Investor Operations - Maintain investor relations databases, contact lists, and other records supporting investor engagement activities. - Support the planning and execution of investor meetings, conferences, earnings events, and other investor-facing activities. You - Have 2+ years of professional experience in a business, finance, communications, operations, executive support, investor relations, or other analytical environment. - Are highly organized and able to manage multiple projects, deadlines, and stakeholder requests simultaneously. - Demonstrate strong analytical and problem-solving skills, with the ability to gather, organize, and synthesize information from a variety of sources. - Understand core financial concepts and can read, summarize, and evaluate financial statements. - Possess excellent written and verbal communication skills with strong attention to detail. - Enjoy conducting research, preparing presentations, and creating materials for executive audiences. - Are comfortable working with senior leaders and maintaining professionalism when interacting with external stakeholders. - Have strong judgment, discretion, and the ability to handle confidential information. - Are proficient in Excel, Google Sheets, PowerPoint, Google Slides, and other business productivity tools, and go beyond basic use of AI tools to build skills, workflows, and processes in AI that streamline how the team operates. - Thrive in fast-paced, evolving environments and are willing to take on both analytical and operational responsibilities as needed. - Are curious, proactive, and eager to learn about investor relations, capital markets, and the AI industry. Development / Potential Growth Areas Successful performance in this role may lead to increased responsibility in the following areas: Investor Communications - Take a greater role in shaping the content, structure, and messaging of investor presentations and executive communications, moving beyond preparing and updating existing materials. - Draft portions of earnings-related materials, investor updates, and executive briefing documents. Market & Investor Analysis - Move beyond gathering and summarizing information to identifying trends, themes, and implications from investor feedback, analyst commentary, and market developments. - Take ownership of recurring investor intelligence, peer monitoring, and competitive analysis reporting. Investor Engagement - Develop a deeper understanding of investor perspectives and capital markets dynamics. - Take on greater responsibility for tracking investor interactions and supporting investor engagement activities. Earnings & Public Company Readiness - Assume greater responsibility in the preparation and coordination of earnings-related materials and processes. - Build knowledge of investor communications, disclosure practices, and public company investor relations best practices. - Support the IPO process, including roadshow preparation and coordination with banking teams on logistics. Success in This Role Success in this role is measured by the ability to reliably gather information, prepare high-quality materials, support executive and investor-facing activities, maintain strong organization across multiple workstreams, and continuously deepen knowledge of Lambda, the AI industry, and investor relations best practices. This role is designed to provide a strong foundation in investor relations, finance, and capital markets while creating opportunities for increased responsibility and professional growth over time. 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. ## About Lambda ## Company Overview - **One-liner**: Lambda builds supercomputers and cloud infrastructure for training and deploying large-scale AI models, from single GPUs to gigawatt-scale AI factories. - **Entity Type**: Private (funding stage not publicly disclosed; founded by ML engineers) - **Headquarters**: San Francisco, California, USA - **Founded**: 2012 - **Founders**: Stephen Balaban and Michael Balaban ## Core Business - Primary industry: AI infrastructure / cloud computing for machine learning. - Target customers: Frontier AI labs building large foundation models, hyperscalers scaling global AI infrastructure, and enterprises deploying AI in regulated industries (B2B, Enterprise). - Mission: “Make compute as ubiquitous as electricity and give everyone in America the power of superintelligence” (also “One person, one GPU”). ## Products & Services - **The Superintelligence Cloud**: A suite of cloud computing offerings specifically built for AI workloads, including: - **GPU Instances**: On-demand NVIDIA HGX B200, H100, and GB300 NVL72 instances for prototyping and testing. - **Managed Clusters**: Dedicated, single-tenant clusters (e.g., NVIDIA GB300 NVL72, HGX B200/H100) with full management and co-engineering from Lambda’s team. - **1-Click Clusters™**: Rapidly deployable clusters for training and inference. - **Superclusters**: Large-scale AI factories integrating high-density power, liquid cooling, and high-bandwidth interconnects. - **AI Infrastructure Hardware**: Modular AI factory designs and NVIDIA-based systems for on-premise or colocation deployment. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed. - **Key Metric**: Total funding not publicly available; revenue not disclosed. - **Notable Customers/Partners**: “World’s most advanced AI organizations” (frontier labs, hyperscalers, regulated enterprises). Leadership includes former executives from cloud and networking companies. - **Growth Signals**: Active hiring across engineering, storage, security, and procurement roles; building AI factories at gigawatt scale; SOC 2 Type II certified; expanding from San Francisco to San Jose, CA. ## Competitive Advantages - **AI‑First DNA**: 100% of engineering, operations, and support dedicated to AI – founded by ML engineers in 2012. - **Single‑Tenant Isolation**: Shared‑nothing architecture for security and performance, with hardware‑level isolation. - **Full‑Stack Expertise**: Co‑engineering from the same team building the infrastructure, enabling deep optimization for large training runs. - **Hacker Culture**: Rooted in the Noisebridge hackerspace values of do‑ocracy, low ego, and “be excellent to each other.” - **Performance**: Rack‑scale NVIDIA systems (GB300, B200, H100) with high‑speed interconnects (NVIDIA Quantum‑2 InfiniBand). ## Strategic Focus - Scaling infrastructure to support the next generation of superintelligence, including gigawatt‑scale AI factories. - Enabling frontier labs to train trillion‑parameter models and serve billions of tokens in production. - Expanding compliance and security capabilities for regulated industries. - Growing the cloud platform (The Superintelligence Cloud) as the primary go‑to‑market offering. ## Why Work Here - **Culture**: Hacker ethos (Noisebridge roots), low ego, no yelling, no politics, no crypto. Values: build, move fast, care, be excellent to each other. - **Work Environment**: Fast‑paced, high‑change, outcome‑focused. Emphasis on technical excellence and curiosity. Anonymous feedback encouraged. - **Interview Process**: Clear, structured steps (recruiter chat → hiring manager → technical assessment → panel interviews → reference/offer). Pedigree is not everything; focus on what you’ve built. - **Location & Remote**: Offices in San Francisco and San Jose, CA. FAQ page addresses remote/hybrid policy (details not provided in available snippets); some roles appear on‑site. - **Perks**: Benefits, time off, and other perks are listed on the careers site (specifics not extracted here). ## Sources 1. [lambda.ai/about](https://lambda.ai/about) 2. [lambda.ai/](https://lambda.ai/) 3. [lambda.ai/careers](https://lambda.ai/careers) 4. 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