Job Overview
Location
San Francisco
Job Type
Full-time
Category
Software Engineering
Date Posted
June 21, 2026
Full Job Description
đź“‹ Description
- • Lead the technical success of complex enterprise AI deployments across one large customer engagement or a portfolio of smaller accounts, spanning multiple use cases, production systems, and teams
- • Set technical direction across engagements to ensure coherence in architecture, system behavior, evaluation strategy, integrations, and operational practices as deployments scale
- • Develop Forward Deployed AI Engineer Leads, senior individual contributors, and emerging technical leaders by coaching on technical judgment, code quality, customer communication, and production ownership
- • Serve as the senior technical partner to customer executives, enterprise architects, and business partners, building trust through clear communication, sound judgment, and reliable delivery of AI systems
- • Maintain technical proximity to live systems by reviewing designs, interrogating system behavior, debugging critical production issues, guiding evaluation strategies, and participating in incident reviews and quality improvements
- • Apply AI-native engineering practices daily to enhance personal leverage and model effective use of AI tools for design, implementation, debugging, analysis, experimentation, and operational improvement
- • Partner with company leadership on staffing, organizational design, leadership development, and customer expansion as engagements grow from pilot to enterprise-scale deployment
- • Operate across altitudes: engaging with customer executives on tradeoffs and delivery risk, setting cross-team architecture, developing technical leaders, and remaining technically hands-on to make sound judgments on AI system behavior, code quality, and production reliability
- • Ensure production AI systems deliver durable business value in complex customer environments by balancing architecture, delivery risk, team capability, customer constraints, and operational realities
- • Use AI tools routinely to write and debug code, explore system designs, analyze data, automate repetitive tasks, and improve efficiency in leadership and engineering workflows
- • Travel to customer sites 20–40% of the time based on project needs, customer requirements, and engagement scope
- • Work in a hybrid model requiring 3+ days per week (Tuesday–Thursday) in-office at the San Francisco location
- • Own high-impact AI projects deployed within top enterprises in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations
- • Collaborate with teams to maintain a 100% production deployment success rate across enterprise clients
🎯 Requirements
- • 8+ years of software engineering experience, including leading technical teams through ambiguous, high-stakes production delivery
- • Proven multi-team technical leadership across multiple workstreams, accounts, or senior engineers, with ability to create clarity, set standards, and develop leaders without becoming a bottleneck
- • Demonstrated talent development experience coaching Tech Leads, senior ICs, and emerging leaders; prior people management experience strongly preferred
- • Enterprise technical ownership: responsibility for whether complex AI deployments deliver durable customer value across architecture, delivery risk, team capability, and production operations
- • Technical proximity and judgment: deep understanding of architecture, debugging, testing, observability, performance, maintainability, security, and code quality; willingness to perform selective high-leverage technical work
- • AI-native working style: daily use of AI tools for coding, debugging, design exploration, data analysis, automation, and operational improvement
🏖️ Benefits
- • Base salary range of $180K – $250K, depending on experience, location, and level, plus meaningful equity
- • 100% covered medical, dental, and vision for employees and dependents
- • 401(k) with additional perks including commuter benefits and in-office lunch
- • Access to state-of-the-art AI models and generous usage of modern AI tools
- • Ownership of high-impact projects across top enterprise customers
- • Mission-driven, fast-moving culture that prizes curiosity, pragmatism, and excellence
Skills & Technologies
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About Distyl Inc.
Distyl is a cloud-native platform designed to simplify and accelerate the development and deployment of machine learning (ML) models. It provides a unified environment for data preparation, model training, versioning, and deployment, enabling data scientists and ML engineers to move from experimentation to production faster. The platform offers features such as automated data pipelines, managed training infrastructure, and scalable model serving. Distyl aims to reduce the complexity and operational overhead associated with MLOps, allowing organizations to focus on building and deploying impactful ML solutions. It supports various ML frameworks and integrates with existing cloud infrastructure.
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