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About the Role
The engineering work spans challenging areas of enterprise data, including extracting internal work data, assisting companies with dissolution, and de-identifying sensitive datasets. This role involves building a high-agency engineering team, developing independent owners, and transforming complex customer and technical challenges into reliable products and systems. You will shape the team's direction and technical operating system, influencing hiring, ownership division, infrastructure development, quality evaluation, and the integration of AI in the building process. This is a player-coach role where management is primary, but you will remain technically engaged through design and code reviews, debugging, and occasional implementation for leverage.
Responsibilities
- Hire, onboard, coach, and develop engineers into strong independent owners
- Define ownership and technical direction across the product and systems your team is responsible for
- Turn customer behavior, product usage, data quality, system health, and team evidence into a sequenced roadmap
- Review important designs and pull requests
- Debug difficult failures alongside the team
- Lead technical decisions and incidents when needed
- Prototype or contribute code selectively when it resolves ambiguity, unblocks the team, or creates reusable leverage
- Establish lightweight practices for planning, evaluation, releases, incidents, quality, and learning
- Delegate meaningful decisions without becoming detached from the technical work
- Lead difficult production and customer situations without creating a hero culture
- Make security, privacy, permissions, AI behavior, and recovery part of product and engineering design
- Use AI engineering tools directly and establish team practices for speed, review, evaluation, and verification
Requirements
- At least two years of experience directly managing engineers who build production software
- Experience hiring well, delivering direct feedback, handling performance issues, and developing senior engineers into broader owners
- Experience building or leading technically demanding products involving complex workflows, data systems, AI/ML, infrastructure, or sensitive information
- Ability to review code and designs with depth
- Ability to debug alongside the team
- Ability to prototype when useful
- Ability to step back once ownership is clear
- Fluent use of AI engineering tools with a practical point of view about their leverage, failures, and verification
- Startup experience and enjoyment of broad ownership, changing context, and incomplete information
- Clear communication with customers, Product, Design, domain experts, and highly technical ICs
Skills
- Production software management
- Engineering team leadership
- Technical product development
- Complex workflow systems
- Data systems
- AI/ML
- Infrastructure management
- Sensitive information handling
- Code review
- Design review
- Debugging
- Prototyping
- AI engineering tools
- Startup environments
- Cross-functional communication
Experience Level
- At least two years of direct management experience
About the Company
- Sunset was founded to help founders, initially supporting startups through shutting down, and has expanded to unlock new revenue streams for businesses.
- The company recognized the value of proprietary data generated through daily business operations for training AI models.
- Sunset partners directly with frontier AI labs as a primary source of this real-world data.
- The company has scaled rapidly from $0 to a multi-eight-figure run rate in months.
- Sunset has secured funding from prominent investors like Floodgate, Afore, Ludlow, and Hustle Fund.
- The company offers opportunities for significant responsibility and rapid growth due to its small size.
- Employees will partner with and build for some of the world's fastest and most important companies.
- This is a chance to help build a massive, category-defining business from the ground floor.