Top Tech Jobs & Startup Jobs

Run recurring operational processes (payments, payroll, filings), manage compliance calendar, execute deal paperwork and security questionnaires, operate and extend in-house AI ops tooling, coordinate company offsites and travel, support sales ops, and produce operational playbooks and run an ops request queue.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

Lead and build Maze's channel function from scratch: recruit and activate resellers/VARs, drive cloud marketplace partnerships (AWS/Azure/GCP), test new partner models (investor/PE referrals), run partner co-marketing/co-selling, and align partner motions with sales to generate channel-sourced pipeline and ARR.

Lead design and productionization of ML pipelines, evaluation systems, and AI agents for cybersecurity. Own experimentation-to-production lifecycles, integrate ML across product teams, scale ML infrastructure, optimize agent performance, and mentor junior engineers while collaborating with CTO and product leadership.

Own full enterprise sales cycle for AI-powered vulnerability management: build pipeline, run discovery, demo product, negotiate contracts, close $100K+ deals, and shape GTM and sales playbook in an early-stage startup.

Lead and build the AI foundation for an AI-native vulnerability management platform. Own AI strategy, evaluation frameworks for non-deterministic agents, fine-tuning and model-routing experiments, prototype and ship agentic features, and lead a small hands-on AI team to productionize breakthroughs in generative AI for cybersecurity.

As a Full Stack Engineer, you will own the complete stack from UI to API, ensuring high-quality feature development and exceptional user experiences at a fast-paced startup.

Design end-to-end UX for AI agents in cybersecurity, define new AI-human collaboration patterns, run discovery and research, prototype and validate with customers, build a component-based design system, and partner closely with engineering and product to ship impactful B2B features.

Lead and grow multiple small, high-output engineering teams focused on AI-powered vulnerability management. Stay hands-on with architecture and code reviews, drive hiring and career development, ensure technical excellence, and coordinate cross-team priorities to deliver customer and revenue impact.