Top Tech Jobs & Startup Jobs

Lead full-cycle recruiting for the U.S. and Colombia/Argentina markets with an outbound-first approach. Own ATS (Gem), optimize AI recruiting tools, run multi-channel sourcing campaigns, manage pipeline metrics and hiring strategy, and partner with hiring managers to fill technical roles rapidly and with high quality.

Lead design and delivery of production-grade AI systems: build backend AI modules, RAG pipelines, and agentic workflows; deploy and maintain services with IaC and container orchestration; create reusable internal tooling, tests, and observability to ensure reliable, low-latency production behavior.

Lead and mentor a San Diego engineering team while staying hands-on building production LLM systems (RAG, agents, document processing). Drive architecture, evaluate models and tooling, own end-to-end delivery, collaborate with clients, and create reusable internal tooling and best practices to improve team performance and client outcomes.

Technical leader for Cadre's Colombia engineering team who mentors engineers, sets engineering standards, and stays hands-on building production AI systems (agents, RAG, document processing, automations). Own architecture, delivery, cloud deployments, evaluation, and client collaboration to deliver measurable business impact.

As an AI Consultant, you will lead AI strategy engagements, develop comprehensive roadmaps, and foster long-term relationships with clients, ensuring on-time delivery and project success.

The Marketing Director will lead brand strategy, demand generation, and community efforts, establishing Cadre as a premium AI transformation firm and executing various marketing initiatives.

Own the full sales cycle for AI strategy engagements: prospecting, qualifying, running discovery, managing pipeline in HubSpot, and closing $75K net new monthly. Execute consultative sales, collaborate with delivery teams, and provide market feedback to leadership.

Support client engagements through research, transcript processing, synthesis, and production of decks and deliverables using AI tools. Manage scheduling, ClickUp task tracking, cross-team handoffs, and follow-ups to ensure consultants are prepared and engagements run smoothly.

Triage AI opportunities, shape technical solutions, write precise SOWs and internal handovers, identify reuse vs. new engineering, and coordinate sales and engineering to deliver scoped AI engagements (5–10 concurrently, 30–45 day cycles). Ensure delivery-ready documentation and flawless handoffs to implementation teams.

Build and deploy production LLM systems: backend AI modules, RAG pipelines, agentic workflows, and scalable infrastructure. Own end-to-end delivery, optimize retrieval accuracy and latency, implement IaC and containerized deployments, write tests and observability, and abstract reusable internal tools to accelerate future client work.