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

Develop and execute web marketing initiatives supporting product and campaign launches. Translate marketing, product, audience, and brand needs into web briefs, requirements, user journeys, landing pages, and actionable workstreams. Analyze SEO opportunities, customer journeys, traffic, engagement, and conversion metrics to guide recommendations. Coordinate cross-functional teams, prioritize workflows, manage timelines, communicate with clients, and contribute to reporting and optimization efforts.

Designs, deploys, and integrates generative AI solutions for clients, including LLM agents, RAG pipelines, workflow automation, and conversational interfaces. Translates business needs into production systems, supports adoption through training and iteration, contributes to AI research and offerings, and assists with business development and publications.

Own end-to-end architectures for cloud, data, machine learning, deep learning, generative AI, and agent-based client solutions. Lead architecture reviews, technical governance, production readiness, and stakeholder engagement while addressing security, compliance, scalability, reliability, observability, and cost. Support pre-sales through scoping, proposals, effort estimates, and presentations. Mentor engineers, develop internal accelerators, and contribute to AI consulting engagements from assessment through deployment.

Lead end-to-end architectures for cloud, data, machine learning, deep learning, generative AI, and agent-based systems. Serve as the technical authority for client engagements, aligning solutions with business, security, compliance, scalability, reliability, and cost requirements. Lead architecture reviews, guide engineering teams, oversee delivery from assessment through production, and support pre-sales proposals and estimations. Mentor consultants and engineers while developing internal AI accelerators and reference architectures.

Own end-to-end product marketing for a major subscription product release, including positioning, messaging, go-to-market strategy, launches, stakeholder communication, project coordination, and website content maintenance. Coordinate cross-functional workstreams, timelines, dependencies, risks, and blockers while translating technical developments into clear narratives and execution plans. The role requires a versatile, hands-on generalist comfortable with ambiguity, digital and AI-enabled environments, and independent ownership.

Leads marketing strategy and operations initiatives for enterprise technology clients, translating leadership priorities into operating plans, managing complex workstreams, developing dashboards and performance frameworks, improving processes, and embedding responsible AI into workflows. The consultant also coordinates cross-functional teams, supports client delivery and business development, and provides guidance to project contributors.

Designs and deploys production generative AI solutions, including LLM agents, RAG pipelines, workflow automation, and conversational interfaces. Integrates solutions with client APIs, databases, cloud environments, and business tools. Leads adoption through training, evangelization, stakeholder collaboration, and continuous iteration. Contributes to AI research, internal offerings, publications, and business development while bridging technical teams and business decision-makers.

The consultant identifies and prioritizes enterprise AI opportunities, translates business challenges into AI use cases, designs and prototypes AI-powered workflows, and supports scaled implementation. Responsibilities include coordinating cross-functional delivery, establishing governance and operating models, measuring adoption and business impact, optimizing prompts and workflows, and enabling organizational change through training and stakeholder engagement. The role requires strong consulting, generative AI, communication, and solution-oriented skills.

Leads client engagements focused on risk and compliance process design, operational transformation, AI opportunity identification, workflow automation, and business analysis. Maps processes, identifies risks and inefficiencies, develops improved frameworks and AI-enabled solutions, manages project workstreams, presents recommendations to stakeholders, mentors team members, supports proposals, and contributes to thought leadership around AI in regulated environments.

Support client compliance and risk teams by defining data needs, building data pipelines, analyzing structured and unstructured data, and deploying ML/GenAI solutions (LLMs, agents). Design, fine-tune, and productionize LLM-based systems, implement monitoring and dashboards, ensure regulatory compliance (GDPR, EU AI Act), and collaborate with engineering and product teams while contributing to internal training, publications, and business development.