Top Tech Jobs & Startup Jobs

Own the full sales cycle for $20K–$50K deals with Series A/B startups: prioritize PLG signals, run targeted outbound, design and execute pilots, build sales playbooks, and feed market insights to product and GTM leadership.

Lead and grow Lightfield's founder community by running in-person events, building repeatable programs, managing Slack engagement, capturing learnings into content, and cultivating deep relationships with early-stage founders to drive GTM outcomes.

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.

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.

Collaborate with product leaders to build scalable AI product features, mentor teammates, and shape engineering culture in a fast-moving environment.

The Full Stack Engineer will build and maintain scalable product features, collaborate with cross-functional teams, mentor peers, and contribute to engineering culture.

Lead the development of ML product infrastructure, create a scalable platform for ML solutions, collaborate with teams, and mentor new engineers.