AI Engineer, Enterprise Lead

About Distyl AI Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. What We Are Looking ForAI Engineers, Enterprise Lead are senior technical leaders accountable for the technical success of Distyl’s most complex enterprise AI deployments. They may own one large customer engagement or provide technical oversight across multiple smaller accounts, maintaining technical coherence across workstreams, developing technical leaders, and ensuring production AI systems deliver durable business value in complex customer environments.This role is for leaders who can operate across altitudes: reasoning with customer executives about tradeoffs and delivery risk, setting architecture across multiple teams, developing AI Engineer Leads and senior engineers, and staying close enough to the work to make sound technical judgments about AI system behavior, code quality, evaluations, integrations, and production reliability.Key ResponsibilitiesLead the technical success of complex enterprise AI deployments, either across one large customer engagement or a portfolio of smaller accounts, often spanning multiple use cases, production systems, workstreams, and teamsSet technical direction across engagements, ensuring architecture, system behavior, evaluation strategy, integrations, and operational practices remain coherent as deployments growDevelop AI Engineer Leads, senior ICs, and emerging technical leaders, raising the bar for technical judgment, code quality, customer communication, and production ownershipServe as the senior technical partner to customer executives, enterprise architects, and business partners, building trust through clear communication, sound judgment, and reliable deliveryMaintain technical proximity to live systems by reviewing designs, interrogating system behavior, debugging critical issues, guiding evaluation strategy, and participating in incident reviews and production quality improvementsUse AI-native engineering practices to increase your own leverage and model effective use of AI tools for design, implementation, debugging, analysis, experimentation, and operational improvementPartner with company leadership on staffing, organizational design, leadership development, and customer expansion as engagements grow from pilot to enterprise-scale deploymentWhat We Require8+ years of software engineering experience, including experience leading technical teams through ambiguous, high-stakes production deliveryMulti-team technical leadership. You have led technical execution across multiple teams, workstreams, accounts, or senior engineers. You know how to create clarity, set standards, develop leaders, and keep teams aligned without becoming a bottleneckTalent development. You raise the capability of the engineers around you. You can coach Tech Leads, senior ICs, and emerging leaders, and you know how to build a talent-dense engineering team over time. Prior people management experience is strongly preferred, but not required if you have demonstrated organizational leadership across multi-team engineering effortsEnterprise technical ownership. You take responsibility for whether complex technical deployments deliver durable customer value. You can reason across architecture, delivery risk, team capability, customer constraints, system behavior, and production operationsTechnical proximity and judgment. You can still reason deeply about production software. You understand architecture, debugging, testing, observability, performance, maintainability, security, and code quality. While you mostly operate through your teams, you are willing and able to do selective, high-leverage technical work when it materially improves outcomesCustomer and executive judgment. You can operate effectively in high-trust, high-visibility customer environments. You communicate clearly with executives, IT leaders, data teams, and operational SMEs about system behavior, delivery tradeoffs, risks, and limitationsAI-native working style. You use AI tools daily to write and debug code, explore designs, analyze data, automate repetitive work, and improve your own leverage. You are curious about new model capabilities and actively incorporate them into how you lead and buildWillingness to travel. Travel is typically 20–40%, depending on the project, customer needs, and your role on the engagementWhat We Offer The base salary range for this role is $200 – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package100% coverage of medical, dental, and vision insurance for employee and dependentsFlexible time offRetirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resourcesComprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through CarrotComplimentary in-office lunches and snacks providedAccess to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problemsOwnership of high-impact projects across top enterprisesA mission-driven, fast-moving culture that values curiosity, pragmatism, and excellenceDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.#LI-HybridWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.LocationSan Francisco; New YorkEmployment TypeFull timeLocation TypeHybridDepartmentEngineering