Named Technical Support Engineer

About This Opportunity

We are representing a confidential computer vision platform provider in their search for a Named Technical Support Engineer based in the USA. This is a unique embedded support role focused on a single strategic enterprise account rather than servicing a broad queue.

Our client is a leading provider of machine learning infrastructure used by over one million developers worldwide, including half the Fortune 100. Their platform powers computer vision applications across healthcare research, construction safety, infrastructure digitization, environmental conservation, autonomous systems, and more.

This role suits a technically strong engineer who prefers building deep, long-term relationships with one strategic customer over handling high-volume ticket queues. You'll become the regional technical representative, building contextual expertise in their workflows, infrastructure, and operational needs while proactively enabling their teams and strengthening deployment reliability.

Responsibilities

• Serve as the dedicated technical continuity and regional representative for a single enterprise customer's computer vision deployment
• Build deep understanding of the customer's infrastructure, data sources, edge devices, workflows, and operational constraints
• Lead focused enablement sessions covering best practices in data management, annotation workflows, and deployment strategies
• Create and maintain a customer-specific knowledge base including runbooks, FAQs, architecture documentation, and operational patterns
• Diagnose complex technical issues spanning edge devices, networking, cloud pipelines, and inference performance
• Collaborate with Product, Field Engineering, and Account teams to relay customer insights and identify expansion opportunities
• Ensure high-quality communication and expectation management with customer technical and program stakeholders
• Participate in support on-call rotation as needed
• Proactively identify process improvements and opportunities to mature the customer's computer vision operations

What We're Looking For

Required Technical Skills:

• 7+ years of hands-on experience with Linux and networking fundamentals (VPN, SSH, firewalls)
• Strong scripting proficiency in Bash and Python
• Ability to diagnose issues across the full computer vision and machine learning pipeline from data ingestion through edge inference
• Practical experience with edge devices such as Nvidia Jetson, Raspberry Pi, webcams, or industrial cameras
• Comfort interpreting logs, profiling inference bottlenecks, and navigating cloud infrastructure environments

Required Professional Skills:

• Contextual problem-solving: strong questioning and active listening to understand complex customer environments
• Relationship building: ability to establish trust quickly and operate as a long-term technical partner
• Communication: skilled at translating technical complexity for non-technical stakeholders
• Composure under pressure: calm, structured, and disciplined when managing sensitive issues
• Proactive knowledge sharing: creates documentation, updates runbooks, and builds internal knowledge bases
• Enablement mindset: genuinely enjoys teaching customers and building their technical maturity
• Process improvement orientation: surfaces patterns and proposes tooling or workflow enhancements

Bonus Qualifications:

• Prior named-account support, Technical Account Manager, or Dedicated Support Engineer experience
• Pre-sales, solutions architecture, or consulting background
• Ability to articulate technical capabilities as business outcomes
• Familiarity with computer vision platforms and workflows

How We Work With You

When you apply through Get A Job.ai, our recruiting team will review your background and conduct an initial screening conversation to understand your experience with embedded support, customer relationships, and technical troubleshooting.

Qualified candidates will be submitted to our client for consideration. We coordinate all interview scheduling and provide guidance throughout the process. Please do not attempt to contact the client directly, as all communication should flow through our talent team to ensure a smooth candidate experience.

This is a full-time employee position with our client. The role is US-based and remote-friendly, though occasional customer onsite visits may be required depending on account needs and location. Working hours will generally align with the customer's regional operating schedule.

Pay

The target on-target earnings (OTE) range for this position is $150,000 - $200,000, with uncapped commission potential. The client offers additional benefits including travel stipends, productivity allowances, AI tools budget, health insurance coverage, equity participation, and home office support.

Get A Job.ai is an equal opportunity recruiter. We welcome applications from candidates of all backgrounds and experiences. We carefully review every application and work to match talented professionals with opportunities where they can thrive.