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

Maintain and troubleshoot outbound sales stack (Trellus, HubSpot, Lemlist, Gmail). Manage campaign setup, data hygiene, dialer routing, inbox provisioning, deduping, and reporting. Serve as first-line support for SDRs/AEs, document configurations, and pull prospecting lists and ad-hoc reports.

The Product Manager will oversee product road map development, collaborate with the CEO, engineering, UI/UX, marketing and sales, and understand customer workflows to ensure product success.

The Technical Talent Sourcer will build candidate pipelines for technical roles, source talent proactively, craft personalized outreach, and use data analytics to optimize recruitment processes.

Design, build, and scale GTM systems tying together HubSpot, Clay, Lemlist, Equals, and other tools. Architect integrations and automations, build dashboards and reports, analyze GTM data to forecast and optimize revenue, conversion, retention, and pipeline health. Drive automation to eliminate manual work and enable faster business decisions.

As a Talent Engineer, you will develop sourcing automation, screening infrastructure, ATS integration, funnel analytics, and internal tooling to streamline recruiting processes and reduce manual work.

Forward Deployed Engineers work with customers to identify problems, build full-stack solutions, and ensure reliability while managing system design and deployment.

The Senior Product Designer will create intuitive interfaces for construction software, interacting with users to understand their needs, prototype solutions, and collaborate closely with engineers.

Lead development and productionization of high-accuracy computer vision models (detection, segmentation, OCR, document/vision-language) for messy construction drawings. Own end-to-end pipelines (data ingestion, labeling, training, evaluation, low-latency inference), scale robustness and latency across thousands of formats, integrate models into product, diagnose failure modes, mentor engineers, and set technical roadmap and quality standards.

Design, execute, and iterate on products within the tech stack at a startup, collaborating closely with the founding team.

As a Computer Vision Research Engineer, you will develop state-of-the-art CV algorithms and models focusing on various techniques to automate contractor tasks. You'll work autonomously to create innovative products and ensure high coding standards.