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

Own technical relationships with enterprise customers and design, build, and launch AI solutions on the Moveworks Platform. Responsibilities include solution architecture, API and enterprise-system integrations, implementation leadership, customer advisory, adoption, technical presentations, feedback to product and engineering teams, and reusable solution development. The role requires customer-facing technical experience, AI and LLM systems knowledge, workflow automation skills, and travel up to 25%.

Executive leader responsible for driving global CRM and AI growth, pipeline performance, strategic pursuits, partner engagement, and go-to-market execution. The role aligns sales, marketing, product, industry, customer success, and enablement teams around CRM strategies, while advising senior stakeholders and shaping product and investment priorities. Success requires deep CRM expertise, consultative sales experience, sustained SaaS growth, AI-enabled business practices, and the ability to influence customers, partners, and internal teams.

Own technical relationships with strategic enterprise customers throughout Moveworks implementations. Design AI agent solutions, enterprise integrations, workflows, and automations using APIs, iPaaS tools, cloud functions, and scripting. Advise customers on agentic AI roadmaps, coordinate cross-functional delivery, develop reusable capabilities, and mentor engineers. The role combines solution architecture, hands-on implementation, technical consulting, executive communication, and up to 25% travel.

Partners with Sales to lead technical discovery, solution design, demonstrations, proof-of-value engagements, and customer validation for cybersecurity, identity, exposure management, and risk solutions. Advises enterprise security and executive stakeholders, explains platform integrations with network environments, develops technical documentation, delivers training, and supports complex sales cycles, events, and competitive evaluations. Travel is typically 25–50%.

Designs, builds, and operates production-grade agentic AI systems at enterprise scale. Responsibilities include multi-agent orchestration, tool use, planning, memory, retrieval-augmented generation, model integration, evaluation, safety governance, observability, and workflow automation. The role also provides technical leadership through architecture ownership, code reviews, mentoring, and engineering standards for reliable production AI systems.

Creates polished product concepts, high-fidelity prototypes, demo flows, storyboards, and visual narratives using Figma and AI-assisted workflows. Partners with product, engineering, research, design, and storytelling teams to clarify ideas, iterate on solutions, support emerging AI experiences, and communicate design rationale. Maintains reusable prototype frameworks and contributes to design standards, templates, and interaction patterns.

Owns digital M&A integration and product launch strategy for ServiceNow’s digital ecosystem. Develops integration playbooks, governance, sequencing, and decision frameworks; evaluates systems, teams, processes, costs, and execution risks; guides CRM, lead management, analytics, portal, authentication, branding, and customer migration decisions. Defines launch criteria and reusable playbooks, directs requirements for Product Managers and execution teams, and aligns senior stakeholders across M&A, Product, Marketing, Engineering, and Legal using analytics and metrics.