Top Tech Jobs & Startup Jobs

Lead AI enablement and portfolio governance across UP.Labs companies: build reusable AI tools and workflows, support CEOs with operations and GTM, track company health via dashboards and reporting, and cultivate VC and operator relationships to drive capital, customers, and strategic support.

Lead backend architecture and system design for an AI-driven manufacturing planning platform. Build and scale a Node.js/Python stack with Azure Databricks, implement optimization and scheduling algorithms, establish engineering patterns, and mentor/lead a small early-stage engineering team while collaborating with product and data functions.

The Sr AI/ML Engineer will design and deploy machine learning models, build computer vision systems, and develop LLM-based features in a collaborative, fast-paced environment.

Lead the design, build, and production deployment of agentic LLM systems that take real-world actions. Own agent architecture, retrieval/grounding, graph-backed knowledge, eval harnesses, observability, approvals/rollback, and team growth while partnering with applied science for embeddings and vector stores.

Design, build, and scale backend systems, ensuring reliable APIs and services while collaborating on cloud infrastructure and DevOps practices.

Part-time QA Analyst reviews emails, invoices, confirmations, and system outputs to verify financial and operational data accuracy. Identify inconsistencies, duplicates, and mapping errors, flag anomalies, and report reproducible issues with context to engineering to maintain data integrity and reliable financial outputs.

Design, build, and maintain production-grade data pipelines and models to power AI/ML workloads. Own pipeline reliability (orchestration, monitoring, incident response), collaborate with product and engineering to define requirements, optimize performance and cost, and document data models and runbooks.

Fractional, hands-on revenue leader for a portfolio of AI software ventures. Set up GTM strategies, land first enterprise customers, mentor early sales hires, build repeatable sales infrastructure and playbooks, support pricing and deal execution, and maintain a warm enterprise pipeline across portfolio companies.

Lead end-to-end deployments of AI for hotel revenue teams: integrate PMS/CRS/RMS, ship ML/optimization models and agentic workflows, validate recommendations with revenue managers, define metrics, drive adoption, and hire/mentor the forward deployed engineering team.

Lead and build the engineering organization for an AI-driven industrial commerce platform. Own architecture, data pipelines, ML and computer vision integrations, mobile sensor-enabled identification, enterprise system integrations (ERP/DMS), cloud infrastructure, CI/CD, and observability. Hire and mentor distributed teams, deliver rapid MVPs, and establish a scalable technical vision for identification, predictive enrichment, and commerce execution.