Top Computer Vision Jobs

Deploy, configure, and maintain on-prem GPU servers and containerized services for real-time video analytics. Manage deployments, monitoring, automation, and incident debugging; collaborate with ML/backend teams and casino IT to ensure secure, reliable production systems.

Work with founders to build and run the end-to-end go-to-market motion for a technical enterprise product: outbound/inbound, discovery, technical POCs, pricing, procurement, and closing. Run GTM experiments, refine messaging and qualification, feed customer learnings into product and positioning, and help create repeatable processes to scale the GTM organization.

Own full enterprise sales cycle for strategic data center accounts, drive new logo acquisition, manage complex procurement and security reviews, build executive relationships, apply MEDDPICC-style methodology, maintain forecasts and pipeline, and partner with Customer Success and Solutions Engineering to expand accounts.

Lead design, training, and deployment of large-scale language and multimodal models for construction; build training infrastructure, data pipelines, evaluation and alignment (including RLHF), and production ML systems integrating human labeling and vision-language models.

Design, develop, and implement real-time computer vision and video processing pipelines on embedded platforms. Optimize AI/ML models for resource-constrained systems (GPU/FPGA), evaluate and debug high-frame-rate machine vision, integrate sensors/cameras, participate in full software lifecycle, document work, and mentor junior engineers.

Lead end-to-end growth for a pre-launch consumer hardware startup: set strategy, build brand voice, grow a pre-launch audience, run creative-led paid and organic programs, manage contractors and a small team, use AI to accelerate content and research, and report on full-funnel KPIs to drive acquisition, activation, and retention.

As Senior Product Manager, you'll manage the product roadmap, engaging with healthcare professionals and driving cross-functional execution in a high-growth tech environment.

The Customer Success Manager will manage customer relationships, drive renewals and expansions, engage with stakeholders, and ensure customer goals align with product value, while maintaining high retention rates.

Evaluate AI-generated energy forecasts based on accuracy and quality, leveraging analytical and quantitative skills to assess forecast responses.

The Solutions Engineer will work with the sales team in a technical pre-sales role, addressing customer cybersecurity needs by demonstrating solutions and aligning them with customer requirements.