Presales Engineer – Mainframe and GenAI
Company Description
Geniez AI connects LLMs and AI-agents to real-time mainframe data.
Mainframes run the global economy. Our mission is to deliver the latest technology advancements in AI to mainframe enterprises, empowering them to improve decision making, enhance customer experiences and accelerate time to market, while building on top of existing investments in this critical IT infrastructure.
Our founders have a proven track record of innovation in the mainframe space. They are the same team that built Model9 and revolutionized the mainframe with seamless access to cloud storage and they are now keen on bringing Generative AI to the mainframe in the same fast-paced, revolutionary and fun way.
With over 50 years of experience among us and backed by top VC investors, we bring startup-speed innovation to the reliable and trusted mainframe market, and we’re excited to tackle the toughest technological challenges unlocking the most value for our clients.
About the Role
We are seeking a technical Presales Engineer to join our team selling innovative, next-generation enterprise software solutions for mainframe environments. In this role, you will partner with the sales and product teams to engage customers, understand their technical environments, demonstrate Geniez AI’s capabilities, and support installations and proof-of-concepts (POCs) as part of the company’s business growth efforts.
This role offers a unique opportunity to work with at a VC-backed startup company in the mainframe space, alongside experienced industry leaders with proven exit track record. You will be engaging client technical leaders and executives, helping them with their most pressing IT challenges around driving value from AI initiatives.
Key Responsibilities
- Customer Engagement: Work closely with sales teams to understand customer challenges, technical environments, and business objectives.
- Solution Design: Develop deployment architectures and installation plans for operating our software in customer IT environments.
- Demonstrations & POCs: Lead technical demos, proofs of concept, and pilot installations to showcase the value of our software.
- Installation & Testing: Support customers in the installation, configuration, and testing of our software within their environments.
- Technical Enablement: Provide technical training, documentation, and best practices to customer technical teams.
- Feedback Loop: Collaborate with product management and engineering to relay customer feedback and feature requests.
- RFP Support: Contribute to technical responses for RFPs and RFIs, ensuring accurate representation of our software capabilities.
Required Qualifications
- 5+ years of experience in an enterprise software technical presales, solution engineering, or systems integration role.
- Hands-on experience with mainframe and enterprise software deployment and troubleshooting in customer environments.
- Strong technical expertise and problem solving skills in mainframe environments including z/OS system-level, DB2, VSAM, JCL, RACF, z/OS UNIX, TCP/IP and Java.
- Understanding of AI technologies and generative AI tools such as LLMs and AI-agents.
- Strong communication and presentation skills, with the ability to explain complex topics to both technical and non-technical audiences.
Preferred Qualifications
- Bachelor's degree in Computer Science, Engineering, or related technical field.
- Experience with hybrid software solutions involving both mainframe and cloud.
- Experience with generative AI tools
What We Offer
- Unique opportunity to work at the intersection of mainframe and AI computing, developing software that drives critical enterprise systems at the largest corporations in the world.
- Working as part of a strong team in a fast paced, startup environment with the opportunity to make a big impact on the company’s technology and roadmap.
- Continuous learning opportunities in various technologies including IBM Z mainframes, building AI applications and cloud computing.
- A collaborative, innovative, and inclusive work environment.





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