5-7 years of experience in Pre-Sales Engineering or a strong background in software evaluation and buying processes.
Hands-on experience with application security tools like SAST, DAST, and API Security.
Familiarity with cloud-native application security and GenAI integration risks.
Ability to communicate complex security requirements to engineering teams.
Willingness to travel for customer engagements and events.
Responsibilities
Deliver engaging platform presentations and demos on Application Security Testing and Runtime Protection.
Promote the Harness AI-Native DevSecOps platform's AppSec and API/AI Security features.
Link business security risks to technical solutions in the DevSecOps pipeline.
Lead technical workshops and proof of value sessions to demonstrate Harness's capabilities in securing the SDLC.
Showcase customer value in reducing security debt and addressing API and AI risks.
Benefits
Comprehensive healthcare benefits.
Flexible Spending Account (FSA).
Flexible work schedule and time off policies.
Employee Assistance Program (EAP).
Monthly internet and phone reimbursement.
Regular social and team-building events.
Full Job Description
Position Summary
The AppSec Sales Engineer is the technical liaison who bridges sales and engineering, expertly articulating the technology and product positioning of our AI-Native DevSecOps platform to executive, business, and technical audiences. They provide critical technical support, drive and manage the technology evaluation stage, ensure customer success in adopting application and AI security products, and strategize to achieve commercial relationships.
Key Responsibilities
Deliver world-class platform presentations and demos focused on Application Security Testing and Runtime Protection as part of the larger DevSecOps landscape.
Evangelize the benefits of the Harness AI-Native DevSecOps platform, highlighting its AppSec and API/AI Security capabilities, including SCA, SAST, DAST, and runtime protection
Connect business security risks and compliance problems to technical solutions within the end-to-end DevSecOps pipeline.
Drive complex technical engagements, such as workshops and POVs, to prove Harness's value in securing the entire software development lifecycle (SDLC) from code to operation, including API and AI workflows.
About You
Responsible for delivering product demonstrations that show customer value in eliminating security debt for developed software and mitigating emerging API and AI risks.
Experience as a Pre-Sales Engineer supporting SaaS/software sales in the DevSecOps or Cybersecurity domain or a strong practitioner with experience in the software evaluation and buying process.
Hands-on experience with modern application security practices and tools (e.g., API Security, AI Security, SAST, DAST, SCA, or other similar technologies).
Appreciation for cloud-native application security and the security risks associated with the integration of GenAI.
Remain current on emerging technologies and developments in AI security, software supply chain security, and threat landscapes.
Able to convey complex customer security requirements and feature requests to Engineering.
Ability and willingness to travel, occasionally on short notice, for customer engagements, internal meetings, or trade shows/conferences.
Remote role, SouthEast Region - Must Travel
WHAT YOU WILL HAVE AT HARNESS
Competitive salary
Comprehensive healthcare benefits
Flexible Spending Account (FSA)
Flexible work schedule
Employee Assistance Program (EAP)
Flexible Time Off and Parental Leave
Monthly, quarterly, and annual social and team building events
Monthly internet & phone reimbursement
A valid authorization to work in the U.S. is required.
Pay transparency
$182,000-$218,000 USD
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About Harness
Harness is a continuous delivery platform that helps businesses automate their software delivery processes. The platform offers a range of tools and services to help developers build, test, and deploy software more quickly and efficiently. Harness uses AI and machine learning to optimize the software delivery process, and provides analytics and insights to help teams identify and resolve issues more quickly. The company was founded in 2016 and is headquartered in Santa Clara, California.