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

Deploy production AI agents for supply chain customers by designing integrations, building workflows, debugging systems, and improving reliability. The role partners directly with customer operators, engineers, and executives; connects agents to APIs, systems, and data; evaluates agent quality; and converts deployment learnings into reusable product capabilities. Work includes agent behavior, application logic, data, security, observability, and production operations.

Owns end-to-end field marketing programs, including industry events, executive dinners, customer roundtables, activations, ABM, out-of-home, and guerrilla campaigns. Partners with Sales and Marketing to target accounts, coordinate outreach, manage budgets and vendors, analyze pipeline and program performance, and build repeatable playbooks. The role requires independently executing multiple programs weekly, solving live-event issues, and connecting marketing activities to revenue, customer relationships, and brand growth.

Own high-impact growth and strategy initiatives for Pallet, including channel partnerships, value-based pricing, business-case development, sales enablement, executive and investor networks, events, and commercial strategy. The role works closely with the CEO and senior leadership to improve GTM execution, activate partnerships, influence pricing, and increase the output of commercial and deployment teams.

Own customer deployments from discovery through launch and ongoing success. Lead workflow discovery, requirements, testing, configuration, timelines, stakeholder communication, milestone reviews, escalations, and go-live support. Partner with engineers, product, sales, and customer success teams to translate complex operational processes into reliable AI-agent workflows. Support mid-market customers, coordinate larger deployments with senior team members, and help build scalable implementation processes.

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.

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.

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.