Top Tech Jobs & Startup Jobs

Identify and prospect high-value AI and enterprise accounts through email, phone, LinkedIn, and events. Research prospects, personalize messaging, qualify opportunities, run initial conversations, and book meetings for Account Executives. Partner on account mapping and multi-threading, use AI tools to improve outreach, and stay informed on AI inference, open-source models, and GPU trends.

Designs, deploys, and operates high-performance data center infrastructure across multiple colocation sites. Responsibilities include network architecture, site bring-ups, rack and power planning, cabling, hardware installation, Linux operations, automation, monitoring, infrastructure project ownership, vendor coordination, capacity planning, and troubleshooting. The role also supports GPU infrastructure, private cloud, Kubernetes, internet routing, procurement, and commercial negotiations while requiring travel to data centers for hands-on deployment and support.

Software Engineering Intern developing, optimizing, testing, and deploying AI model inference solutions at scale. Responsibilities include implementing models with Python, C++, CUDA, and NCCL; monitoring live services; fixing bugs; reviewing code; and collaborating on design and feature development. The role offers hands-on experience building high-performance AI infrastructure for LLMs and multimodal models.

Own technical customer relationships for an AI inference platform. Diagnose and resolve production issues involving latency, errors, rate limits, billing, quotas, model behavior, and API integrations using logs, metrics, dashboards, and terminal tools. Advise customers on platform usage, capacity planning, GPU sizing, deployments, and cost optimization. Partner with Engineering and Product on bugs, feature requests, documentation, and permanent fixes while independently managing customer issues end to end.

Owns DeepInfra’s usage-to-revenue billing pipeline, including metering, invoicing, payment performance, reconciliations, fraud prevention, dunning, collections, and pricing-model launches. Partners with Engineering, Finance, Sales, and the Controller to manage billing systems, revenue accounting workflows, payment gateways, and scalable financial operations for self-serve and enterprise customers.

The Director of FP&A will build and lead financial planning, forecasting, budgeting, and reporting. Responsibilities include owning the consolidated three-statement model, analyzing AI inference unit economics, preparing board and investor materials, developing dashboards, automating finance systems, and evaluating infrastructure, CapEx, debt, and equity decisions. The role partners with founders and cross-functional leaders to guide growth and investment strategy.

Own global accounting close, financial reporting, usage-based revenue reconciliation, infrastructure accounting, audits, tax compliance, treasury, working capital, and internal controls. Lead ERP implementation and financial systems integrations while establishing scalable accounting policies and governance for a rapidly growing AI infrastructure company. Partner with engineering, finance, and company leadership across global entities, jurisdictions, and currencies.

Design, develop, optimize, and operate production inference systems for open-source AI models. Build and test model-serving solutions using Python, C++, CUDA, and NCCL; monitor and debug production systems; improve performance; apply AI/ML techniques; and contribute to system design, code reviews, and end-to-end delivery.

Build and lead DeepInfra’s product marketing strategy for AI inference infrastructure. Own positioning, ICP definition, messaging, website, product launches, technical narratives, enterprise sales enablement, ABM campaigns, lead scoring, and marketing-to-sales processes. Partner closely with founders, engineering, product, and sales to drive developer conversion and enterprise growth. The role requires hands-on execution across technical content, advertising, sales collateral, analytics, and market positioning.

Lead growth and demand generation for a B2B AI infrastructure startup. Build PLG funnel, run paid and organic developer campaigns, own SEO/content, implement lead scoring and ABM, create enterprise sales enablement materials, and set up growth analytics and lifecycle marketing to drive awareness, activation, and customer acquisition.