Engineering Manager - DevOps & AI Platform
Lead and develop the engineering teams for DevOps and AI Platform, ensuring a reliable, scalable screening platform while fostering best practices in AI and SRE.
Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment.
Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done.
Forward Networks is looking for a Systems Sales Engineer Manager
We're seeking an experienced Systems Sales Engineering Manager who will lead a team of Systems Sales Engineers while also serving as a hands-on technical expert. This is a hybrid role requiring both strong leadership capabilities and the technical depth to actively engage with customers as a practitioner—qualifying opportunities, providing technical leadership on key deals, and executing POCs directly.
Management & Team Leadership:
Technical Practitioner & Sales Leadership:
Cross-Functional Collaboration:
Requirements:
Experience
The expected On-Target Cash Earnings for this role is between 275,000- 325,000 per year. Within this range, individual pay is determined by several factors including but not limited to, job-related skills, work experience, and relevant education/training
Lead and develop the engineering teams for DevOps and AI Platform, ensuring a reliable, scalable screening platform while fostering best practices in AI and SRE.
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