Full-Time
Account Executive
Sales, SaaS
Posted on 1/16/2025
Ranger
11-50 employees
AI-assisted end-to-end QA testing
No salary listed
San Francisco, CA, USA
In Person
 Sales & Account Management (1) |
|---|
- Minimum 2 years of quota-carrying direct SaaS sales experience in a full cycle closing role with strong prospecting, qualifying, negotiating, and closing skills
- Experience selling developer tools + services
- Ability to discuss Ranger’s value proposition with Founders, executive-level leaders, and engineering team decision makers
- Experience with outbound prospecting
- Consultative sales approach and comfort speaking with technical buyers
- Consistent track record of hitting or exceeding sales targets in a fast-paced environment
- High adaptability and willingness to evolve approach in fast-paced environment
- Excellent verbal and written communication skills
- Drive revenue for Ranger, owning opportunities throughout their lifecycle
- Identify top-of-funnel prospects for Ranger, gaining a deep understanding of their needs around QA automation
- Conduct intro calls and product demos with prospects
- Be primary point of contact for leads, ensuring clear next steps are established with prospects
- Become an expert in Ranger’s product and problem space
- Communicate with operations team to ensure smooth customer onboarding experience
- Contribute to the next iteration of the Ranger sales process
- Collaborate with team to update and improve sales materials
- Has been a startup founder previously
- Experience with Hubspot, Unify, Clay, and Airtable
Ranger focuses on end-to-end QA testing for web-based products by combining AI and human expertise. An AI agent writes tests, which are then reviewed by a team of human QA experts to ensure quality. This dual approach helps catch real bugs and keeps core workflows intact, so development teams can move faster on their product roadmaps. Ranger targets teams that want rapid development and deployment, offering a service that automates and refines testing tasks. On average, its clients save about 200 hours per engineer each year. The company's goal is to make QA more efficient and trustworthy, pulling testing work away from developers so they can focus on building features.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
N/A
Founded
N/A
Simplify's Take
What believers are saying
- General Catalyst invested in Ranger's agentic AI QA approach.
- OpenAI, Clay, Suno, and Dust use Ranger for critical testing.
- Saves 200 engineer hours annually via automated end-to-end testing.
What critics are saying
- Applitools automates visual UI testing at 99.9% accuracy by March 2026.
- Meticulous.ai launches fully autonomous E2E tests at 95% reliability in February 2026.
- OpenAI shifts to internal agentic QA models by April 2026, dropping Ranger.
What makes Ranger unique
- Ranger's AI agent writes tests reviewed by human experts for quality.
- Platform auto-triages failures to surface only real bugs in CI/CD.
- Hosted infrastructure scales tests without extra staff or environments.
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Benefits
Hybrid Work Options
Company News
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