Jobs at Siena AI

Own Siena’s creative vision, narrative, positioning, and design quality across product launches and marketing artifacts. Personally ship landing pages, videos, decks, social content, and the design system during the first year, then build a small internal creative agency. Establish the company-wide taste bar, provide final creative approval, use AI fluently in the creative process, and operate effectively across multiple fast-moving launches.

Own the candidate experience across high-volume recruiting, including inbound triage, first-round screens, timely feedback, scheduling, logistics, and accurate Ashby pipeline management. Support sourcing during peak demand and build AI-enabled workflows using Claude and similar tools. The role requires strong judgment, ownership, relationship-focused candidate care, and comfort operating in an early-stage startup or agency environment without a predefined playbook.

Own commercial relationships for a portfolio of Growth and Strategic enterprise accounts: drive net dollar retention, expansion, and executive trust. Build account plans, run QBRs and workshops, negotiate renewals and expansions, map stakeholders, translate product value into ROI, and partner with deployment strategists, product, and engineering. Requires AI technical fluency and hands-on prompt engineering experience.

Own technical pre-sales end-to-end: run demos on real data, scope and build integrations, lead multi-week POCs, write SOWs, hand off to deployment, and drive product feedback across Sales, Product, and Engineering.

Own Siena’s end-to-end content strategy and production across founder-led LinkedIn, social media, product launches, blog posts, announcements, and video scripts. Develop the company voice, analyze content performance and trends, use AI throughout the workflow, and collaborate with the Creative Director on launch campaigns. This individual contributor role requires independently producing high-quality content for consumer brands and rapidly adjusting strategy based on evidence.

Own end-to-end full-stack features and systems (frontend, backend, infra). Ship reliable, high-performance, scalable microservices and LLM-powered customer workflows on AWS, partner with product, make architectural decisions, improve CI/CD and infrastructure, and mentor peers.

Lead day-to-day engineering execution for Channels and Analytics: run 1:1s, maintain delivery cadence, unblock engineers, manage backlogs, write technical debt plans, improve developer experience, and coach senior engineers. Share operational ownership with existing Engineering Manager and support hiring loops and security/compliance work.