Lightning AI

Lightning AI

GTM Operations

New York, New York, United States · Mid

Sponsorship not specified$140k-$180kDetected 29 days ago
Cloud PlatformsMachine LearningPyTorchMLOpsA/B TestingHubSpotSalesPipeline ManagementForecastingProcess ImprovementCustomer SuccessResearchPublic Speaking

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). 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

  • We are looking for a Revenue Operations Manager to help Lightning AI's go-to-market teams ramp faster, sell sharper, and operate with a shared AI forward playbook.
  • This role is ideal for someone who combines strategic thinking with a hands-on approach to execution.

Responsibilities

  • Own and drive key revenue operations initiatives, including systems, reporting, forecasting, process optimization, territories, and compensation.
  • Own and optimize our GTM tech stack (custom objects, automations, etc.) and broader GTM tech stack - implementing new tools where needed.
  • Partner cross-functionally with GTM leaders and individual contributors across Sales, Marketing, Customer Success, Product, Finance, Legal, and our C-suite to proactively identify areas of opportunity and drive alignment.
  • The Revenue Operations Manager will help drive growth by shaping the strategy, systems, and processes that power our go-to-market organization.
  • In this role, you'll lead high-impact strategic and operational initiatives, driving improvements across systems, forecasting, pipeline management, territory design, analytics, processes, and other key revenue operations projects.

Requirements

  • 4+ years of Revenue Operations or related Operations role at a fast-growth venture-backed SaaS startup
  • Strong understanding of Rev Ops best practices
  • Proven experience partnering with Sales teams and presenting insights and recommendations to CRO
  • Experience leveraging AI tools and automation
  • Experience with AI, cloud infrastructure, developer tools, data platforms,MLOps, or enterprise SaaS.
  • Familiarity with MEDDIC/MEDDPICC, Command of the Message, Force Management, or similar enterprise sales methodologies.

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:
  • Communicate Openly:
  • Honest conversations help us move faster together.
  • Build Great Teams:
  • Raise the Bar:
  • Think Long-Term:
  • Revenue Operations Manager

Compensation

  • $140,000 - $180,000 USD
  • Annual learning and development allowance to support your professional growth.
  • $160,000 - $180,000 USD

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.
  • 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.
  • 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.
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This listing is sourced directly from Lightning AI's careers page and normalized into a canonical job model.