• Own the build out of new agents, skills, and platform capability for teams across TLDR.
• Build and deploy agents end to end, from design through implementation, evals, and rollout to internal users.
• Write the evals and specs that define what good looks like, so workflow quality is measurable rather than anecdotal.
• Partner with our Applied AI PM on what to build, and make the smaller product calls independently.
• Work directly with stakeholders in sales, revenue ops, editorial, and people ops to find where an LLM belongs in their process.
• WHAT SUCCESS LOOKS LIKE
• Every workflow at the company improves as model capabilities improve.
• Teams write specs and evals and define what good looks like, rather than executing manually, and their processes improve as models improve without anyone rebuilding them.
• Work becomes increasingly push vs pull, by default work is done by LLMs and humans are brought in as needed.