Engine - Senior Product Manager, Applied AI

• Experience: 4+ years in product management, ideally on internal tools, operations or workflow products, with at least one AI or automation product in production. • Process instincts: You've mapped a messy business process, found the steps that cost the most time and removed them. • Process instincts: • Operator comfort: You're happy spending your first weeks shadowing support agents or accountants, and you judge success by whether the work got faster. • Operator comfort: • Measurement: You can baseline a cycle time, define a metric a business leader will sign off on, and account for the costs, including model spend and engineering time. • Measurement: • AI fluency: You understand what LLMs and agents do well, where they fail, and how evals and human review fit into a workflow. • AI fluency: • Influence: You earn trust with leaders who don't report to you, and you hold the line on scope when everyone wants something different. • Influence: • Success in the First Six Months • The function's key workflows are mapped, showing where the time goes. • The first workload is chosen, and its metric is signed off and baselined before the build starts. • The first version is live with real users, and cycle time is dropping. • What you've learned has gone into the embed playbook that the next embedded PM will start from. • Applications for this role will be accepted through 12/20/2026 until the role is filled. We encourage you to apply early, as we may begin reviewing applications before the deadline. • CompensationOur compensation packages are based on several factors, including your experience, expertise, and location. In addition to a competitive base salary, all roles receive equity. Depending on the role, total compensation may also include an annual bonus. Your recruiter will share your complete compensation package as you move through the process.