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

Build and own AI-assisted development infrastructure, including autonomous cloud development environments, MCP integrations, agent documentation, internal tooling, and enablement programs. Improve how engineering teams use AI coding agents across the organization, drive cross-team adoption, and stay current with AI productivity trends. The role requires strong software engineering, developer tooling, cloud infrastructure, CI/CD, and application development experience.

Creates and ships high-quality, on-brand AI-generated advertising for enterprise clients. Partners with Solutions Engineering and marketing teams to translate brand guidelines into AI workflows, produce imagery, video, and copy, optimize creative through A/B testing and performance analysis, and provide product feedback to engineering and product teams.

Lead technical sales cycles for mid-market customers by conducting discovery, designing architectures, delivering tailored demonstrations, and managing proof-of-concept engagements. Build relationships with technical champions and executive stakeholders, navigate complex buying committees, advise customers on data activation and AI workflows, and partner with Product and Engineering on emerging solutions.

Own the technical relationship for enterprise customers, advising on CDP and martech strategies, product adoption, technical best practices, and expansion opportunities. Provide proactive guidance, troubleshoot complex issues, manage customer-facing technical projects, and collaborate with Sales, Support, Product, and Engineering. Surface customer use cases and product gaps to improve the Hightouch platform and drive retention and renewals.

Leads Hightouch’s machine learning organization, including product development, technical roadmapping, recruiting, reliability, and people management. The role focuses on personalization, product recommendations, probabilistic identity resolution, LLM-powered content generation, and scalable machine learning infrastructure for model training and inference.

Lead enterprise pre-sales engagements from technical discovery and solution architecture through demonstrations, proof-of-concept validation, and deal closure. Partner with Account Executives, build technical champions, navigate complex buying committees, and advise customers on data activation and AI workflows. Collaborate with Product and Engineering on emerging products and go-to-market strategy while supporting enterprise customers across data, marketing, and executive teams.

Own product marketing for CDP, MarTech, data, and AI offerings by defining positioning, leading go-to-market launches and integrated campaigns, improving website messaging, producing case studies and sales enablement, conducting market research, and evangelizing products through events, customer engagements, and webinars.

Drive enterprise sales across the Southeast by building high-value account pipelines, conducting discovery, developing outbound and land-and-expand strategies, delivering tailored solutions, and consistently exceeding sales targets. Collaborate with Sales, Marketing, and Product teams to create strong customer experiences. The role requires enterprise sales expertise, technology knowledge, excellent communication, adaptability, urgency, and customer-centricity. Familiarity with the martech or data ecosystem is preferred.

Own and grow strategic relationships with agency holding companies, independent agencies, and walled-garden platforms. Build account plans, advise senior executives, negotiate complex commercial agreements, co-sell into enterprise accounts, and develop joint go-to-market programs. The role tracks revenue and adoption, presents business reviews, manages cross-functional partnerships, and represents the company at industry events. Success requires strong consultative selling, executive communication, commercial negotiation, and knowledge of AI-driven marketing ecosystems.

Develop applied AI research prototypes and systems for agentic marketing applications, focusing on generative image and video, brand asset creation, data workflows, and autonomous evaluation. The role combines probabilistic and quantitative reasoning, backend system architecture, product intuition, experimentation, and customer-focused product development. Responsibilities include building proofs of concept, improving AI-generated media realism and brand alignment, and architecting agentic systems.