Jobs at Deep Infra Inc.

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.

Work with engineers to design, implement, and deploy scalable inference solutions for top AI models. Implement and optimize models (Python, C++, CUDA, NCCL), monitor live services, develop features, fix bugs, participate in code reviews, and collaborate in agile teams.

Customer-facing engineer who owns technical wins from POC to production: designs and runs reproducible inference benchmarks, tunes model-to-hardware deployments, conducts vendor bake-offs, handles security/compliance, drives post-signature account health, and produces reusable benchmark reports and reference architectures to accelerate sales and deployments.

Own full-cycle enterprise deals from prospecting to contract execution. Build and manage pipeline, run discovery, lead POCs and technical validation with engineering, guide onboarding, negotiate pricing, and close contracts while partnering with GTM and Engineering teams.

As a Software Engineer, you will collaborate on designing, developing, and testing AI models, maintain production systems, and explore new techniques within a small, impactful team.

Spearhead developer community building and content efforts, creating engaging technical resources and driving the adoption of DeepInfra's AI services while collaborating across departments and representing the company at events.

Design and develop inference solutions for AI models, optimize performance, and maintain production systems while owning end-to-end problems.