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

Lead full-cycle technical recruiting for Product, Design, and Engineering: source passive and active candidates, manage multiple searches, screen and present candidates, build talent pipelines, partner with hiring managers, and measure sourcing conversion metrics.

Serve as K-12 curriculum expert to develop customized product demonstrations, support pre- and post-sales, partner with account executives, marketing, and product, present at events, and drive curriculum-focused sales and implementation across districts and states.

Lead end-to-end print and kit fulfillment: demand forecasting, inventory and SKU management, order fulfillment, vendor relations, logistics, and process automation to scale operations and ensure timely delivery to K–12 customers.

Design and maintain data infrastructure, deploy data pipelines, ensure data quality, and collaborate with teams to meet data needs within the organization.

Design and deliver front-end product experiences, collaborate across teams, mentor engineers, improve architecture, and enhance developer experience.

Lead the data engineering strategy and team to build scalable, secure data platforms, pipelines, and observability for analytics, AI/ML, personalization, and product intelligence. Partner cross-functionally to deliver production data systems, feature stores, and real-time pipelines while hiring, mentoring, and establishing standards for data quality and platform reliability.

Design and maintain scalable backend systems, collaborate with teams, mentor junior engineers, and ensure high performance and reliability of services.

As a Senior Backend Engineer at Kiddom, you'll develop backend services and internal tools using Python and GoLang, focusing on enhancing system reliability and developer productivity.

Lead and mentor front-end engineers, focusing on the development of user-facing experiences. Collaborate with Design and Product to ensure technical excellence and scalable features.

Conduct research and development on generative AI for K-12 education: build and evaluate LLM applications using prompt engineering, RAG, fine-tuning, and multimodal methods; implement solutions in Python, collaborate with cross-functional teams, and help translate research into product impact.