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

Manage full sales cycle and upsell existing enterprise clients: receive leads, create quotes, expand account licenses, develop account plans, build stakeholder relationships, maintain pipeline, and meet quarterly revenue quotas.

The ML Engineer will design, build, and automate evaluation pipelines, curate datasets, train and deploy voice models, monitor performance, and manage production code across various stages of the machine learning lifecycle. They will also collaborate closely with research and infrastructure teams to enhance user-facing systems.

Lead community engagement and partnership efforts to grow diverse audiences through strategic relationships and events. Plan and run community programs, manage day-of event logistics, collect and maintain CRM contacts in Tessitura, support group sales and budget coordination, collaborate across departments, and supervise fellows. Work is in-person on Berkeley Rep campuses with evenings and weekends required.

Lead full-cycle recruiting for technical and non-technical roles, build recruiting infrastructure (ATS, interview rubrics, comp calibration), own candidate experience and recruiting brand, partner with hiring managers, track hiring metrics, and set hiring strategy with founders.

As an Equipment Associate, you will perform tasks such as checking equipment for safety, cleaning, loading and unloading, and assisting customers with equipment rentals while ensuring safety compliance.

Lead NetSuite and ERP transformation engagements, drive strategic growth and client relationships, oversee full lifecycle implementations and integrations, develop thought leadership, and mentor teams while shaping firm strategy and operational excellence.

The Senior Engineer will deliver environmental engineering solutions focused on thickening and dewatering, conduct analyses, design systems, and mentor junior staff.

Lead end-to-end demand generation: plan, build, launch, and optimize paid, email, webinar, and syndication campaigns. Own nurture funnels, reporting, lead scoring, and sales handoffs. Translate product positioning into campaign messaging, partner with sales, product marketing, and agencies, and use modern tools (including AI) to scale pipeline and improve conversion.

Lead franchise vertical marketing to drive new franchise network acquisition and adoption across signed networks. Develop franchise-focused strategy, messaging, integrated demand-generation campaigns, thought leadership, events, and content. Partner cross-functionally with sales, product marketing, customer success, and partnerships to build pipeline, convert franchisees, and scale industry-specific programs that grow revenue and market visibility.

Lead design and productionization of computer-vision and multi-modal AI models (transformers, diffusion, VLMs, JEPA). Translate research to scalable training and low-latency deployments across cloud and on-device targets, define KPIs, mentor engineers, and align ML architecture with product and runtime constraints.