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

Own full-cycle recruiting for the company with immediate focus on GTM (Sales, Customer Success, Delivery). Build proactive sourcing pipelines, run initial screens, manage interviews and offers end-to-end, implement ATS/processes, partner with hiring managers, and deliver a high-quality candidate experience in a fast-paced early-stage startup.

Build end-to-end full-stack features and scalable systems that leverage LLMs for an AI-native CRM. Collaborate with product, implement observability and metrics, participate in code reviews and mentorship, and contribute to technical vision and recruiting.

Lead the architecture and execution of critical backend systems at Lightfield, focusing on API design, data architecture, and scalability while enhancing product experiences.

The Founding Recruiter will lead talent acquisition for engineering and GTM in a fast-paced startup. Responsibilities include building sourcing pipelines, defining employer brand, and improving candidate experience while working closely with hiring managers.

Create high-quality product marketing content: walkthroughs, feature explainers, case studies, sales enablement materials, launch assets, and demo videos. Work closely with founders, product, and GTM to turn customer insight and technical product depth into messaging and materials that drive acquisition and revenue.

Build and scale the company's data infrastructure: design ingestion paths, event models, schema-flexible data models, change capture, query performance, freshness guarantees, and analytics serving for customer-facing dashboards and evaluation pipelines.

As an AI Product Engineer, you will develop innovative LLM-powered solutions, enhance AI systems, and collaborate with cross-functional teams to improve customer experiences.

Lightfield seeks a Machine Learning Engineer to create innovative AI experiences, collaborate on AI/ML strategy, develop product features, and recruit team members. Must have 5+ years in AI/ML and NLP.

The Software Engineer will architect, build and scale the core infrastructure for an AI-driven CRM, ensuring system performance and resilience. Responsibilities include developing data models and backend services, maintaining full-stack systems, and mentoring team members.

The role involves building scalable, reliable features for a next-gen CRM, leading design discussions, mentoring team members, and collaborating on technical execution.