Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Own revenue growth and transition the company from founder-led sales by managing strategic enterprise deals, forecasting, recruiting, hiring, and coaching account executives. Build a high-performing, hunter-first sales organization focused on $1M+ ACV deals with banks, mortgage lenders, and consumer finance companies. Develop strategic account plans, navigate complex C-suite, InfoSec, legal, and procurement processes, create independent pipeline, and establish scalable sales systems and culture.

Work directly with the CEO to turn ambiguous, cross-functional problems into executed plans. Own operating cadence, write memos, run special projects across Product/Engineering/Sales/CS, build dashboards and playbooks, support GTM and customer delivery, operationalize compliance and QA, and partner with Finance to stand up core functions and improve internal processes.

Lead the end-to-end originations product line for AI origination agents: define roadmap, work with AI engineers on autonomy and evals, manage deployments and customer adoption, close feedback loops, and own product marketing and positioning.

Design, fine-tune, and deploy LLMs and AI agents for real-time voice borrower interactions. Build evals, data pipelines, and APIs, ensure scalability and regulatory compliance, and continuously optimize agent performance for consumer lending workflows.

Drive strategic enterprise sales into large banks and mortgage lenders for Kastle's AI agents. Manage complex, multi-stakeholder deals (C-suite, InfoSec, legal, procurement), win RFPs, build pipeline, forecast revenue, and collaborate with founders and engineers to design and present solutions while contributing to GTM strategy and content.

Build, configure, and launch production AI agents on Kastle's platform; write backend and full‑stack code to integrate with loan servicing, data sources, and telephony; own full agent lifecycle (prototype, CI/CD, monitoring, iterate); act as technical lead in customer accounts and feed learnings into product roadmap.

Architect and own real-time backend systems that power AI voice and compliance workflows. Build low-latency, fault-tolerant distributed services, deploy and scale on Kubernetes, optimize databases, and create self-improving production AI systems from design to bank-ready production.