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

Sell large-format digital printing and visual communication solutions to B2B clients (A/E/C, retail, advertising, manufacturing). Prospect, cold call, and manage full sales cycle from lead generation to closing. Present wide-format print applications, maintain pipeline and reporting, collaborate with production teams, and represent the company at events to grow business and client relationships.

Lead engineering at a pre-seed GenAI startup: define architecture and tech stack, build the first B2B enterprise SaaS product, set up cloud infrastructure, DevOps and CI/CD, ensure code quality, hire and manage 1-2 engineers, and apply LLM/ML expertise to drive product and business strategy.

Research, evaluate, and manage partnerships with data providers. Assess datasets for coverage and interoperability, support deal structuring, maintain partnership pipeline, and collaborate with product, engineering, and legal to integrate data into the platform.

Design behavioral specs, harnesses, and validation systems so AI agents implement reliable full-stack features. Build CI gates, structural tests, linting, knowledge bases, and end-to-end verification. Diagnose failures across spec, harness, and agent layers. Architect and operate production systems across cloud and on-prem environments for regulated energy deployments, prioritizing reliability, observability, and graceful degradation.

Own Vocode's sales pipeline and drive enterprise deals to close. Take over active customer conversations, prioritize new markets, and develop sales collateral, terms, and onboarding. Work with ops leadership to build a high-performance sales function and sell to technical stakeholders using CRM and outreach tools.

Manage end-to-end renewal process for brokers and clients: monitor renewals, prepare quotes and agreements, coordinate cross-functionally, track pipeline in HubSpot, address client questions, implement renewal groups, and improve processes.

Design, build, and operate scalable, reliable cloud infrastructure. Maintain AWS/GCP and Linux systems, Kubernetes clusters, CI/CD pipelines, and monitoring (Prometheus/ELK). Automate operations, troubleshoot production issues, run on-call, conduct reviews, and evaluate new technologies to improve availability and performance.

Build end-to-end consumer web and mobile features, from prototypes to production, integrating frontend interfaces with backend APIs and AI workflows. Collaborate with design, product, and platform teams to ensure quality, scalability, observability, and delightful user experiences while shaping early engineering culture and product development rhythms.

Design, build, and deploy ML systems that link extracted document features to repayment and fraud outcomes. Run backtests, build evaluation and QA frameworks, develop adaptive/online learning for fraud and credit risk, and collaborate with customers to integrate models into underwriting workflows.

The Director of Data Sciences leads a team in strategic initiatives, drives machine learning and AI solutions, and manages resources to enhance data-driven decision making across the business unit.