Responsibilities
- Lead a full-stack engineering team from problem definition through production, measurement, and iteration.
- Translate company goals into clear outcomes, investment choices, and a credible execution plan.
- Set the engineering strategy for quality, reliability, security, privacy, and operational health.
- Ship AI-powered products and change how the team works with AI—not just add AI features.
- Hire and develop strong engineers, set a clear bar, and act when the team or an individual is below it.
- Make capacity, dependencies, forecasts, and risks visible early.
- Work directly with GTM and Operations leaders to identify the real problem, map the workflow, prototype a usable solution, and define how success will be measured before scaling.
- Build internal products and AI workflows that improve revenue, conversion, productivity, or quality; measure adoption and results.
- Own cross-system execution across Salesforce, data, product, and AI services, with clear dependencies and decision rights.
Requirements
- Have led an engineering team that delivered measurable customer or business results.
- Have the technical depth to challenge architecture, product, data, reliability, and operational decisions without taking the work away from the team.
- Have set engineering strategy and made explicit investment and prioritization choices.
- Have shipped an AI-powered product or workflow to production and can explain the measurable result.
- Have hired and developed strong engineers, built succession, and handled performance issues directly.
- Have built trusted partnerships across Product, Design, and business teams while representing a clear Engineering point of view.
Nice to Have
- Experience in vertical SaaS, education, fintech, healthcare, CRM, ecommerce, or another operations-heavy domain.
- Led a material change in product direction, architecture, or operating model.
- Built production AI products, agents, evaluation systems, or automation.
- Experience leading engineering for internal business functions and working directly with senior stakeholders.
- Strong product intuition and UX empathy; can represent Product and Design for small bets and fast iterations when dedicated support is limited.
- Experience connecting CRM, data, integration, and AI systems into reliable workflows that move a business metric.
Work Arrangement
Remote (Worldwide) — United States, select offices in the US and internationally
