RE

RevsUp

Enterprise Account Executive – AI Training Data & Generative AI – Startup Within 10,000-Employee Parent Company

Job summary

Texas

Work model

Remote first
Only US
4 days ago
Job description

About RevsUp

RevsUp provides AI training data to power machine learning and generative AI initiatives for leading technology companies like Amazon, Google, and Microsoft. Our proprietary platform and global network of over 500,000 data collaborators in 60+ countries offer comprehensive data collection, annotation, and validation services for text, audio, image, video, and multimodal use cases, with particular expertise in healthcare and conversational AI.

As a 100-employee, PE-backed firm recently acquired by a global services parent company with 10,000 employees (Inc. 5000), we have been recognized with the Global AI Summit Award for Best Use of Conversational AI and named Best AI Training Data Vendor 2023.

About the Solution

Our platform empowers enterprise AI teams to accelerate model development by delivering high-quality, ethically sourced training data for healthcare, conversational AI, computer vision, and generative AI/LLM applications. We orchestrate data collection, licensing, validation, and annotation workflows, leveraging a network of over 500,000 contributors and 300 vendors across 60+ countries to provide data in over 150 languages. Unlike competitors who aggregate or resell data, we create the majority of our data in-house, granting clients access to rare, domain-specific datasets, including real-world clinical healthcare data and over 100,000 hours of speech data.

About the Role

This is a fully remote, individual contributor position reporting directly to senior executive leadership. While based anywhere in the US, an office in San Francisco is available. Travel will be required for customer meetings, conferences, and strategic account management.

Compensation:

  • Details to be confirmed by the hiring manager, expected to align with prior enterprise AE compensation plans.
  • W2 employment with full benefits, including 401k and health plan.
  • No equity is offered, as the PE-backed parent company does not provide stock options.

Deal Structure:

  • Deal sizes range from $100K to several million dollars.
  • This is a project-based business, not a subscription SaaS model. Clients typically return for additional data as their AI initiatives scale.
  • You will be responsible for closing the initial engagement, owning the account, and driving growth over time.

Impact and Opportunity:

  • As the first dedicated Enterprise Account Executive for the US market, you will transition from founder-led sales and shape the go-to-market strategy for a named account strategy targeting approximately 200 of the largest AI buyers in North America.
  • Target buyer titles include research engineers, product managers, and heads of AI data at major technology companies, AI labs, and hyperscalers.
  • Inbound leads are generated through marketing efforts, supported by a shared India-based BDE resource for outbound activities.
  • This role requires a consultative, relationship-driven sales approach; cold calling is not effective in this industry.

Requirements:

  • 8 to 10+ years of enterprise B2B sales experience, with a proven track record of closing deals of $100K or more.
  • Deep domain knowledge in AI data services, AI/ML training, or data solutions is essential; this is not a role for on-the-job learning.
  • SaaS experience is not required, but experience with data solutions, compute/infrastructure, or complex enterprise services is ideal.

About the Culture

  • Employee Testimonials:
    • "I have had opportunities to grow and advance in both my position and income. I truly feel like a part of the family." -- Glassdoor Review
    • "The platform gave me access to top-notch pre-trained vision, NLP, and speech models with a simple, intuitive interface." -- G2 Review
  • Leadership: The CEO and Co-Founder has over 20 years of experience in healthcare AI, including successful exits from clinical NLP and medical transcription companies. The Co-Founder (hiring manager) brings over 15 years of experience scaling startups in edtech and compliance software.
  • Parent Company: Acquired in February 2026 by a PE-backed parent (BV Investment Partners, Pritzker/Vlock Family Office) with approximately 10,000 employees, providing infrastructure and global reach. Despite the scale, the company maintains an agile, startup-oriented DNA with its own P&L, sales, and operations.
  • Recognition:
    • 4.6/5 on Glassdoor (80 reviews, 92% recommend).
    • 4.3/5 on G2.
    • Winner of the Global AI Summit Award for Best Use of Conversational AI.
    • Named Best AI Training Data Vendor 2023.
    • Recipient of Silver/Bronze Stevies for Most Innovative Tech Startup.

Official Job Description

Purpose of the Role: We are hiring a quota-carrying Enterprise Account Executive to drive new business acquisition across the US market. This role involves owning pipeline development, cultivating strategic account relationships, and closing complex AI data engagements for organizations developing machine learning and generative AI solutions.

Key Responsibilities:

  • Manage the full enterprise sales lifecycle, from pipeline generation through to closing deals, with organizations building AI and ML systems.
  • Establish trusted relationships with both technical and business stakeholders.
  • Collaborate with internal solution and delivery teams to translate customer AI data requirements into structured solution opportunities.

Required Experience:

  • 8-10+ years of enterprise B2B sales experience, with a proven track record of closing complex services or data-driven engagements and achieving quota.
  • Demonstrated experience selling AI/ML services, training data, data annotation, analytics, or technical services that support data or model development workflows.

Preferred Experience:

  • Familiarity with generative AI ecosystems.
  • Experience with speech, NLP, computer vision, or healthcare AI programs.
  • Experience working with globally distributed delivery teams.
  • Proficiency with tools such as Salesforce, HubSpot, LinkedIn Sales Navigator, Apollo, or similar platforms.