Solutions Engineer

Reposted 4 Days Ago
Hiring Remotely in United States
Remote or Hybrid
150K-160K Annually
Mid level
Artificial Intelligence • Machine Learning • Software
The Role
Provide technical guidance and support to prospects and customers, run product demonstrations and training, respond to technical inquiries, support deal closings by addressing technical concerns, and gather feedback to improve products.
Summary Generated by Built In
Description

At Qodo, we're building an AI Code Review platform that helps developers move fast, ship with confidence, and elevate code quality across the SDLC through deep, scalable codebase understanding.

We are seeking a Solutions Engineer to become an integral part of its team, dedicated to offering technical guidance and assistance. The ideal candidate will have the chance to cultivate connections with pivotal clients and play a crucial role in advancing the sales of our products. If you aspire to collaborate closely with our sales, product and R&D team, delivering technical expertise, demonstrations, and solutions to our customers, we would love to hear from you!

What will you do?

  • Providing technical guidance and support to prospects and customers
  • Explaining products and services to customers and work closely with them to understand their technical requirements and translate them into effective solutions.
  • Assisting with product demonstrations, presentations and webinars.
  • Provide training to clients, both in person and remotely, to ensure they can effectively use our products.
  • Respond to technical inquiries and provide in-depth information to clients.
  • Support the closing of deals by addressing technical concerns and objections.
  • Gather feedback from clients and the sales team to help improve our products and services.
Requirements

To succeed in this role, you should have:

  • Bachelor's degree in a related field (e.g., Computer Science, Engineering).
  • Must: Minimum of 4 years of experience as a customer facing roles such as sales engineer or support engineer.
  • Must: Proficiency in major coding languages
  • Strong understanding of technical concepts and the ability to communicate them effectively to non-technical stakeholders.
  • Excellent presentation and communication skills.
  • Ability to work independently and as part of a team.
  • Strong problem-solving and analytical skills.
  • Self-motivated, hardworking, and a strong sense of ownership.

For this position at Qodo we offer:

  • The expected OTE salary range for this role is $150,000 – $160,000 per year. Actual compensation will depend on various factors, including experience, skills, and location
  • All Qodo team members are also eligible for stock options, reflecting our belief in shared ownership and long-term growth
  • Comprehensive medical, dental, and vision plans for you and your dependents, with company contributions toward your premiums
  • 401(k) plan
  • Commuter Allowance: We support flexible work - and for those who travel to the office two or more times a week, Qodo provides a commuter allowance to cover part of your travel costs
  • Paid Time-Off: 23 vacation days

Skills Required

  • Bachelor's degree in a related field (e.g., Computer Science, Engineering).
  • Minimum of 4 years of experience in customer-facing roles such as sales engineer or support engineer.
  • Proficiency in major coding languages.
  • Strong understanding of technical concepts and ability to communicate them to non-technical stakeholders.
  • Excellent presentation and communication skills.
  • Ability to work independently and as part of a team.
  • Strong problem-solving and analytical skills.
  • Self-motivated, hardworking, and a strong sense of ownership.
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The Company
134 Employees

What We Do

Qodo is the enterprise platform for AI-driven code review, designed to help engineering teams keep pace with the velocity of coding. As AI accelerates development, Qodo ensures quality scales alongside it. Our multi-agent platform integrates deep code base understanding, automated rule enforcement and agentic review intelligence to deliver context-aware code reviews across the SDLC. Its agents handle PR review, in-IDE feedback, background remediation, to ensure issues are caught early, fixes are validated, and standards are consistently enforced.

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