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

Own end-to-end interview scheduling and candidate communication across virtual and onsite hiring processes. Coordinate interview logistics, facility tours, agendas, interviewer preparation, and candidate travel. Maintain accurate ATS records, post and manage open roles, and support recruiters and hiring managers with debriefs, pipeline hygiene, and weekly hiring reporting. Ensure a highly organized, positive candidate experience while managing many concurrent roles and scheduling changes.

Lead full-cycle recruiting for engineering, GTM, operations, and future teams. Build sourcing engines, structured interview processes, scorecards, and recruiting operations (Ashby, sourcing tools, analytics). Improve hiring funnel metrics, manage candidate experience, and shape employer brand through job descriptions and candidate messaging.

Lead and run engineering-facing operations: manage hardware test sites, internal deployments, field sustainment, IT and lab infrastructure, inventory/asset tracking, test operations, vendor coordination, and translate field findings into prioritized feedback for engineering and product.

Own and build the companys finance operating system: processes for spend, close, reporting, billing, vendor management, and financial hygiene. Partner on planning, forecasting, budgeting, cash visibility, and investor reporting. Increase visibility into production, R&D, SaaS, vendor, and operating spend. Create repeatable systems, work cross-functionally with engineering, supply chain, and GTM, and drive ambiguous projects to define scalable finance and operations practices for a growing hardware and software company.

Build and scale Specter’s commercial operating infrastructure: enable pipeline visibility, forecasting, pricing, proposals, market analysis, dashboards, processes, and cross-functional feedback loops to make GTM motion repeatable and measurable.

Embed with customers to discover high-value use cases, lead post-sales discovery, coordinate sales/deployment/engineering to deliver solutions, and drive expansion and renewal by co-developing generalizable product features. This is a field role requiring in-person engagement, technical fluency across platform/ML/firmware/hardware, and the ability to influence product direction without direct ownership.

The software engineer will design, deploy, and scale distributed systems for our sensing platform, focusing on reliability, performance, and cross-functional collaboration with hardware and application teams.

The role involves designing ML pipelines for computer vision, optimizing models for edge deployment, and developing data management systems for sensor datasets.

The ML Research Engineer will implement and deploy deep-learning models for perception AI, manage data pipelines, and design user interfaces.

The Embedded Software Engineer will design and maintain firmware for sensor nodes, integrate hardware modules, and improve system performance in real-world applications.