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

Drive cross-functional go-to-market initiatives across product, sales, marketing, partnerships, and strategy. Responsibilities include positioning and messaging, product launches, sales enablement, growth campaigns, customer and competitive research, pipeline and product analysis, case studies, and operational process improvements. The role requires independent project ownership, analytical problem-solving, strong communication, and comfort operating in a fast-changing startup environment.

Build Pallet’s growth and demand-generation engine for enterprise pipeline. Own paid acquisition, email, website conversion, content distribution, ABM, SEO, AEO, marketing automation, attribution, lead routing, segmentation, tracking, and funnel reporting. Test channels and campaigns, scale effective programs, manage agencies and partners, and collaborate with Sales to improve lead quality and accelerate revenue. The role is based primarily in the San Francisco or New York offices.

Own the full-cycle recruiting function for Product, Sales, Marketing, and Business roles. Build sourcing engines, interview processes, talent-brand initiatives, and recruiting operations from the ground up. Partner with executives and hiring managers to align hiring with business goals, generate high-quality pipelines, close competitive talent, and scale a data-driven recruiting function.

Own end-to-end technical recruiting for Pallet’s engineering organization, hiring senior talent across Product, Platform, FDE, and AI/ML. Responsibilities include role scoping, sourcing, pipeline management, interviews, candidate selling, closing, hiring-bar protection, data-driven recruiting strategy, and partnership with engineering leaders and founders. The role is the company’s first dedicated technical recruiter and requires building scalable recruiting practices while remaining hands-on in a high-growth, founder-led environment.

Own the CEO’s calendar, inbox, travel, follow-up, meeting preparation, and strategic projects. The Executive Assistant will manage competing priorities, close customer, candidate, and investor communication loops, coordinate complex domestic and international travel, and support board and external meetings. This is an in-person San Francisco role requiring sound judgment, exceptional organization, discretion, and experience supporting a high-volume executive, founder, or CEO.

Owns enterprise customer deployments from discovery and workflow design through execution, go-live, and long-term success. Leads customer discovery, translates business processes into AI agent workflows, coordinates with delivery engineers and internal teams, configures and tests agent solutions, and manages deployment plans, risks, timelines, scope changes, escalations, and executive communications. The role also improves scalable onboarding processes and requires significant client interaction and travel.

Own customer deployments from discovery and workflow design through execution, launch, and ongoing success. Lead customer discovery, translate business processes into AI agent workflows, configure and test agent setups, manage deployment plans and risks, coordinate stakeholders, lead customer meetings, handle scope changes and escalations, and improve repeatable onboarding processes. The role is client-facing, onsite, early-career, and requires approximately 25–30% travel.

Lead full-stack growth for Pallet across outbound, website conversion, SEO, paid, affiliates, and new channels. Develop strategy, run and analyze high-volume experiments, build tracking and attribution, operationalize validated channels, and lead cross-functional projects to scale predictable, automated acquisition.

Drive technical validation and demos for enterprise logistics customers by building quick integrations/prototypes, mapping data flows across TMS/WMS/CRM, partnering with Sales on proofs of concept, and feeding product insights back to engineering. Enable GTM with demo templates and briefings while shaping the Sales Engineering playbook for AI-driven automation and agent workflows.