Enterprise Growth Lead – B2B Sales & GTM

Steg.AI

Irvine (CA)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Steg.AI is seeking a Business Development Manager in Irvine to drive outbound enterprise sales, acquire early customers, and shape go-to-market strategy. You will work directly with founders and the product team, engaging with diverse stakeholders to accelerate revenue growth and refine pricing and positioning.

You will own the sales cycle from prospecting to close, collaborating with marketing and product to optimize ICPs and messaging, while building a robust pipeline and representing the

Qualifications

  • 3–7+ years of experience in B2B or enterprise software sales.
  • Experience selling technical, security, or infrastructure software.
  • Ability to explain complex concepts clearly to non-technical buyers.

Responsibilities

  • Source and close new enterprise customers through outbound prospecting and founder-assisted sales.
  • Own deals end to end: outreach, discovery, demos, pilots, negotiation, and close.
  • Sell a technical product to marketing, creative, business, legal, security, and technical stakeholders.
  • Refine ICP, messaging, and sales playbooks based on customer conversations.
  • Provide feedback to product/engineering on customer needs and objections.
  • Build and maintain a strong pipeline using CRM and sequencing tools.
  • Represent Steg.AI in customer meetings, demos, and select industry events.

Skills

Outbound sales
Enterprise software sales
CRM proficiency
Negotiation
Clear communication

Tools

CRM
Sales automation tools

Job description

Steg.AI is seeking a Business Development Manager in Irvine to drive outbound enterprise sales, acquire early customers, and shape go-to-market strategy. You will work directly with founders and the product team, engaging with diverse stakeholders to accelerate revenue growth and refine pricing and positioning.

You will own the sales cycle from prospecting to close, collaborating with marketing and product to optimize ICPs and messaging, while building a robust pipeline and representing the

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