Full-Time
Account Executive
Confirmed live in the last 24 hours
Ranger
1-10 employees
AI-driven end-to-end QA testing service
No salary listed
Junior, Mid
San Francisco, CA, USA
This position is onsite in San Francisco, CA.
- 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 provides quality assurance (QA) services specifically for web-based products, focusing on end-to-end testing. The company utilizes a combination of artificial intelligence and human expertise to create a thorough QA process. An AI agent generates tests that are subsequently reviewed by a team of experts to ensure they meet high-quality standards. This method allows Ranger to effectively identify bugs and maintain essential workflows, enabling development teams to concentrate on their product roadmaps. Ranger is particularly beneficial for teams that prioritize quick development and deployment, as it significantly reduces the time spent on repetitive testing tasks. By automating and improving the testing process, Ranger helps clients save around 200 hours per engineer each year. The company's goal is to enhance the efficiency of software development teams, making it a valuable choice for organizations aiming to optimize their QA processes.
Company Size
1-10
Company Stage
N/A
Total Funding
N/A
Headquarters
N/A
Founded
N/A
Simplify's Take
What believers are saying
- AI-driven test automation adoption is increasing, benefiting Ranger's business model.
- Integration of AI in QA processes is expected to grow by 30% annually.
- Demand for faster deployment cycles boosts adoption of AI-enhanced QA solutions.
What critics are saying
- Emerging competitors like Testim and Mabl could capture market share from Ranger.
- Rapid AI advancements may lead to higher customer expectations, challenging Ranger.
- In-house QA solutions using open-source AI tools could reduce demand for Ranger.
What makes Ranger unique
- Ranger combines AI with human expertise for superior QA testing.
- The dual approach identifies real bugs and maintains core workflows effectively.
- Ranger saves clients approximately 200 hours per engineer annually.
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Benefits
Hybrid Work Options
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