Senior Investor Relations Analyst

Sorry, this job was removed at 06:07 p.m. (CST) on Monday, Jan 05, 2026
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San Francisco, CA, USA
In-Office
135K-203K Annually
Software
The Role

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 location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do:

  • Support the quarterly earnings process, including logistics, financial analyses, and preparation of earnings materials

  • Collaborate with Finance and cross-functional teams to analyze financial performance and key business developments for use in investor communications

  • Perform financial, strategic, and competitive analyses, including peer benchmarking and ad hoc projects that support strategic and financial initiatives

  • Review and analyze equity research, consensus estimates, and investor/analyst sentiment to assess valuation drivers and market perception

  • Assist with the creation and ongoing maintenance of investor relations materials, including updates to the Investor Relations website

  • Assist with the planning and execution of investor relations events, including non-deal roadshows and investor conferences

  • Monitor peers and competitors’ earnings disclosures and equity research publications to inform internal messaging and market positioning

  • Summarize and distribute key takeaways from investor interactions, equity research, and market developments to senior management

You

  • Have 2–5 years of experience in equity research, investment banking, buy-side investing, or strategic finance

  • Demonstrate mature financial and analytical skills with the ability to interpret complex information and financial concepts

  • Possess strong business acumen with an understanding of technology and software business models, and a capacity to quickly learn about our industry, products, competitors, and key audiences

  • Proficient in Excel and Google Suite; experience with financial research tools is a plus

  • Bring a detail-oriented mindset coupled with the ability to think strategically and see the broader picture

  • Thrive in fast-paced, high-growth environments with a proactive, flexible, and collaborative mindset

  • Bring excellent verbal and written communication skills, with the ability to work effectively across teams and functions

  • Hold a BS or BA in Business, Economics, or a related field, or equivalent relevant work experience

  • Bring a passion for capital markets, paired with a strong interest in understanding emerging trends and developments in the technology industry

Nice to Have:

  • Experience with AI, SaaS, or consumption-based business models

  • Comfort handling ambiguity and working with minimal supervision

  • Experience working with pre-IPO companies

  • Familiarity with capital structure dynamics and the ability to evaluate debt instruments such as bonds and bank facilities

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

A Final Note:

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.

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.

Lambda Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lambda and has not been reviewed or approved by Lambda.

  • Fair & Transparent Compensation Pay is considered competitive for an AI infrastructure company, with posted ranges and observed offers indicating strong packages for senior technical roles. Compensation is often characterized as competitive or top‑shelf, aligning with market expectations.
  • Healthcare Strength Health, dental, and vision coverage are characterized as strong, with broad‑network plans noted and positive experiences highlighted. This foundation supports overall satisfaction with core insurance benefits.
  • Leave & Time Off Breadth Flexible or unlimited PTO is described as actually used, complemented by paid holidays and sick time. Generous parental leave examples further expand the time‑off offering.

Lambda Insights

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The Company
HQ: San Francisco, CA
106 Employees
Year Founded: 2012

What We Do

Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.

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