Lightning AI

Lightning AI

Senior Finance Associate

San Francisco, California, United States · Senior

Sponsorship not specified$135k-$165kDetected 32 days ago
Cloud PlatformsPyTorchA/B TestingFinancial ModelingForecastingExcelM&AFP&ACadenceResearchLeadershipCommunicationProblem SolvingNetSuite

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odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute.
  • We serve solo researchers, startups, and large enterprises.

Responsibilities

  • Support deal reviews with Sales and leadership and recommend pricing decisions
  • Partner with Marketing on spend allocation, pipeline efficiency, and unit economics analyses (LTV/CAC, payback period)
  • Partner with Product on ROI for software investments and strategic initiatives
  • Partner with Infrastructure Operations on capacity planning and CapEx assessment
  • Support lender and investor communications, materials, and data rooms
  • Build and maintain a driver based model for P&L, balance sheet, and cash flow statement
  • Lead monthly and quarterly reporting, ensuring accuracy and highlighting key business drivers
  • Develop forecast cycles and strengthen forecast accuracy by partnering closely with cross-functional stakeholders
  • Manage FP&A systems and tooling and maintain data accuracy

Requirements

  • Bachelor's degree in Business Administration, Finance, Economics, or a related field
  • 4+ years in Strategic Finance, FP&A, investment banking, private equity, or venture capital, ideally with a focus on software, AI, and/or cloud infrastructure
  • Advanced proficiency in Excel and Google Sheets and experience building complex financial models
  • Track record of cross-functional partnership
  • Experience with capital markets, M&A, or CapEx financing
  • Familiarity with FP&A systems and data tooling (e.g., NetSuite)

Skills

  • Lightning AI is the company behind PyTorch Lightning.
  • Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.
  • The Way We Work
  • Here's what that looks like in practice:
  • Move with Urgency:
  • Take Ownership:

Compensation

  • $135,000 - $165,000 USD
  • Annual learning and development allowance to support your professional growth.
  • Support annual planning and long-range planning

Benefits

  • We offer a comprehensive and competitive benefits package designed to support our employees' health, well-being, and long-term success:
  • Comprehensive Health Coverage:
  • Medical, dental, and vision coverage for employees and eligible dependents.
  • 401(k) matching (U.S.) and pension contributions (U.K.).
  • Unlimited PTO, company holidays, and floating holidays to support work-life balance.
  • Paid Parental & Family Leave:
  • Paid leave to support you and your family through life's important moments.
  • Annual learning and development allowance to support your professional growth.

Company info

  • Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems-designed to take ideas from research to production with less friction.
  • Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.
  • We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
  • Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems-designed to take ideas from research to production with less friction.
  • Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
  • The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company.
  • Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.
  • Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.
  • Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.
  • Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.
  • Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.
  • Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.
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This listing is sourced directly from Lightning AI's careers page and normalized into a canonical job model.