Top Tech Jobs & Startup Jobs in Charlotte, NC

Design, prototype, and productionize Generative AI and LLM features across backend and frontend. Integrate ML models, fine-tune, perform prompt engineering, operate inference platforms, and support AI-based product launches while participating in on-call duties.

The Staff Technical Program Manager will lead complex product development programs, manage schedules, communicate risks, and advocate for changes required to address business shifts, while influencing teams and stakeholders through various initiatives and maintaining program metrics.

Drive territory sales by developing a business plan, owning the full sales cycle from lead generation to close, articulating value to technical and executive stakeholders, forecasting and hitting targets, creating demand in-market, and expanding accounts through channel and direct motions.

Qualify and nurture inbound and outbound leads, schedule sales-ready meetings, research target accounts and contacts, run cold calls and email campaigns, log activity in Salesforce, and collaborate with sales and marketing to convert opportunities and meet territory quotas. Participate in training, customer meetings, and occasional events across time zones.

The Engineering Manager will lead a team of engineers in managing components for scalable distributed systems, ensuring reliability and performance while collaborating across teams to achieve product goals.

The Forward Deployed Solutions Lead integrates Cribl into customer environments, designs custom solutions, builds data flows, and partners with strategic clients to optimize their telemetry processes.

The role involves developing and integrating AI features into Cribl's products, collaborating with teams, and maintaining operational efficiency.

As a Staff Software Engineer, you'll develop and maintain core platform infrastructure, design scalable systems, mentor junior engineers, and ensure reliability of product features.

As a Senior Software Engineer at Cribl, you will contribute to building and delivering improved cloud services, solve infrastructure issues, implement product roadmaps, and ensure software quality and reliability. You will work autonomously within a distributed team and engage with product development, focusing on creating scalable and reliable infrastructure solutions.

The role involves designing, training, and evaluating ML models, optimizing performance, and collaborating with teams to implement AI technologies in products.