Full-Time

General Manager

Updated on 9/3/2026

Tribe AI

Tribe AI

51-200 employees

Bridges frontier models to production-scale AI

No salary listed

Remote in USA

Hybrid

Frequent client and partner travel is expected, approximately twice per month.

Category
Sales & Account Management (1)
Required Skills
Sales

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Requirements
  • At least 5 years of experience in enterprise sales, with a focus on selling services to large enterprises.
  • Experience selling artificial intelligence technologies and/or backend infrastructure or cloud services.
  • Proven success meeting or exceeding sales quotas in an enterprise sales role.
  • Strong understanding of technical sales cycles, particularly in artificial intelligence, infrastructure, and/or cloud sectors.
  • Communication, negotiation, and relationship-building skills.
  • Direct work experience within an early-stage startup.
  • A track record of supporting company growth and success by building processes, enablement, and similar capabilities.
Responsibilities
  • Lead the entire sales cycle, from prospecting and presenting through negotiating and closing.
  • Identify and engage prospective large-enterprise clients, focusing on artificial intelligence services, backend infrastructure, and cloud-based solutions.
  • Develop strategic account plans and tailor solutions to client-specific needs.
  • Build and nurture long-term client relationships while acting as a trusted advisor.
  • Collaborate with product, fulfillment, and other internal teams to align client needs with service and platform offerings.
  • Meet and exceed sales quotas and revenue targets.
  • Represent Tribe AI at industry events, conferences, and networking opportunities.
  • Frequently travel to meet clients and partners, approximately twice per month.

Tribe AI is the AI delivery layer for the enterprise that helps organizations move AI ideas from frontier models into real-world applications through a platform plus services approach. It works by providing a platform that connects models with production systems and a services team that designs, builds, deploys, monitors, and governs AI workflows, turning concepts into live features with end-to-end integration and operation. It differentiates itself by offering both a production-focused platform and hands-on services tailored to enterprise needs such as governance, scalability, and reliability, bridging the gap between advanced models and working business applications. Its goal is to enable enterprises to bring AI use cases into production at scale, reducing friction and accelerating real-world impact across the organization.

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

San Francisco, California

Founded

2019

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Simplify Jobs

Simplify's Take

What believers are saying

  • Pooja Brown became CTO on July 14, 2026, strengthening delivery and engineering leadership.
  • Tribe AI says it has 8-figure revenue run rate and Fortune 20 customers.
  • Enterprise AI implementation demand surged after ChatGPT, driving heavier project volume in 2026.

What critics are saying

  • OpenAI, Anthropic, and AWS can displace Tribe AI by shipping native enterprise services.
  • If Fortune 1000 customers standardize internal AI teams, Tribe AI's services margin compresses by 2027.
  • No disclosed venture-scale funding since 2024 raises execution risk if enterprise demand slows.

What makes Tribe AI unique

  • Tribe AI embeds forward-deployed engineers into Fortune 1000 workflows, not generic consultants.
  • Jaclyn Rice Nelson founded Tribe AI in 2019 with ex-Google AI credibility.
  • Google Cloud named Tribe AI a partner for Gemini Enterprise legal and financial services.

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Benefits

Health Insurance

Unlimited Paid Time Off

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

5%

1 year growth

-1%

2 year growth

5%
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VentureBeat
Jun 16th, 2023
Tribe Ai’S Ceo On Why Generative Ai Is Seeing More Rapid Uptake By Enterprises Than Web3 And Crypto

Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. Learn More. After leaving Capital V, Google’s later-stage venture capital arm, in 2018, former Vice President of Growth Jaclyn Rice Nelson was struck by the tremendous number of talented engineering colleagues who had also left Google and other large tech giants where they’d spent the early parts of their careers, seeking to spread their wings but do so with more freedom. Rice Nelson was inspired by them to found a new firm — Tribe AI, based out of a historic and iconic brownstone house Brooklyn, New York. Tribe offers a “fractional network” of freelance software engineering talent and experts, particularly in machine learning and AI, that can be hired by its clients on demand to work on discrete projects and AI transitions for them. As Tribe puts it on its website, it offers “300+ machine learning engineers, strategists, and data scientists from leading technical institutions. We help companies unlock the full potential of AI, driving success and innovation like never before.” Tribe AI launched in 2019 and has seen steady success since then working with fellow startups and steadily larger clients, but has never been busier than the last six months, following the release of OpenAI’s ChatGPT and the continuing rush by companies of all sizes and various industries to embrace generative AI.Rice Nelson, who serves as Tribe AI’s CEO, recently made time to speak with VentureBeat over Zoom to discuss more about her approach to growing her company, her take on the generative AI craze, and why gen AI is succeeding and drawing more investment and public attention than the last two big waves of venture interest — metaverse and web3/NFTs/cryptocurrencies.