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

Write and edit customer-facing copy across paid social, email, push, in-app, landing pages, and editorial. Maintain brand voice, collaborate with cross-functional teams, optimize copy for performance via testing and metrics, and use AI-assisted tools to scale content. Drive lifecycle and acquisition messaging while building copy systems and voice guidelines.

Lead product marketing for Posh Live, using buyer insights to define buyer- and seller-facing positioning, messaging, playbooks, and GTM. Partner with Product, Growth, Analytics, and Partnerships to drive launches, adoption, and engagement; build seller enablement and measurement frameworks; and scale repeatable processes that improve show performance and buyer conversion.

Lead strategy and roadmap for lifecycle channels (email, push, promotions, CRM). Translate martech/CDP capabilities into experiments and features, define channel health metrics, run segmentation and A/B tests, design promotional mechanics, and partner with merchandising and seller teams to drive retention, conversion, and engagement.

Lead and build the Revenue Intelligence analytics stack to surface demand, supply gaps, trend intelligence, and seller GMV opportunities. Deliver operational decision surfaces, integrate AI/LLM tools, partner with cross-functional teams, and hire and mentor analysts to drive measurable revenue outcomes.

Lead seller-focused product marketing: own GTM for seller-facing features, craft positioning and messaging, design lifecycle programs (onboarding to retention), partner with Product/CRM/Growth, run launches end-to-end, generate seller insights, and scale lifecycle frameworks to drive adoption and retention.

Own Posh Live as a business: set and run the operating plan, drive growth and marketplace health, lead host acquisition, define buyer experience and content standards, prioritize cross-product features, and lead cross-functional teams to hit engagement and supply/quality KPIs.

Lead end-to-end applied ML initiatives including personalization, recommendations, computer vision, and GenAI. Collaborate with engineers and product teams to prototype, deploy, and optimize scalable models, mentor junior staff, and drive adoption of cutting-edge AI techniques to improve product and business metrics.