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

Leads Arize’s technical content and editorial strategy across blogs, guides, thought leadership, customer stories, newsletters, and other formats. Writes and edits technically credible content for developers, AI engineers, and enterprise technology buyers; partners with engineers, researchers, executives, Growth, and DevRel; manages freelancers; and builds scalable editorial workflows. Owns SEO/AEO content quality, distribution, industry perspectives, and the company’s editorial voice in AI observability and agent evaluation.

Leads Arize’s growth marketing organization across enterprise demand generation, field marketing, digital acquisition, SEO, and product-led growth. Owns marketing-sourced pipeline, acquisition channels, lifecycle programs, self-serve signup growth, experimentation, attribution, budgets, and team development. Partners with Sales, Product, Engineering, Revenue Operations, and Marketing teams to improve conversion, pipeline quality, product adoption, and revenue across sales-led and developer-led businesses.

Own Arize’s technical SEO, AI search visibility, organic acquisition, website performance, conversion optimization, and analytics program. The role involves auditing crawlability and indexing, improving site architecture and performance, developing AEO strategies, analyzing competitors, building backlink authority, coordinating website experiments, and connecting organic performance to signups, demos, and pipeline. This hands-on manager partners with content, product marketing, engineering, and external specialists while personally executing technical growth initiatives.

Own Arize’s product documentation and build automation to keep content accurate, detect code-documentation drift, test examples, and draft updates. Create tutorials, cookbooks, onboarding materials, and open-source demonstrations for developers and coding agents. Coordinate documentation with partners, frameworks, and course authors; gather community feedback; support marketing content; engage developers at events and online; and prototype product features with the Product team.

Create and distribute technical education about AI observability and evaluation through blogs, tutorials, videos, webinars, courses, conference talks, and workshops. Build demo applications and AI-assisted content production pipelines, adapt research across channels, engage developer communities, and provide product feedback. The role requires strong engineering, writing, speaking, teaching, and presentation skills, plus regular conference travel and occasional evening or weekend events.

As an AI Solutions Manager, you'll nurture AI/ML customer relationships, drive product adoption, and ensure client success through tailored solutions and account management.

The Account Executive will develop relationships with AI/ML stakeholders, manage sales cycles, and drive account growth, focusing on new customer acquisition and support.

Partner with SMB and Mid-Market AI/ML teams to drive adoption, run onboarding workshops, demo product capabilities, identify expansion opportunities, own renewals and upsells, and coordinate with Solutions and Application Engineering to deliver technical implementations and business value.

Partner with enterprise AI teams to design, implement, and scale production-grade generative AI observability and evaluation programs. Lead technical discussions, build custom integrations and tooling, manage multiple client engagements from scoping to delivery, and drive best practices across cross-functional teams to influence product and expand customer impact.

Deploy and support distributed SaaS and on-premise infrastructure, gather customer requirements, adapt deployment manifests, monitor platform health, troubleshoot issues, package releases, and automate release pipelines across Kubernetes and AWS, GCP, and Azure environments.