AI Engineering Manager
doolaSalary not specified
Full Time
Junior (1 to 2 years)
$180,000 – $290,000Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
HR Technology, FinTech, Artificial IntelligenceIndustries
Requirements
- Experience building with LLMs
- Knowledge of model capabilities and best practices for building AI integrations
- Strong expertise in Python or Typescript
- High agency and the ability to figure things out
Responsibilities
- Lead the engineering team to architect and build AI applications to automate back-office compliance work
- Experiment with novel ways to integrate LLMs into modern financial infrastructure
- Collaborate with product teams to build user-facing applications powered by AI
- Be willing to live in New York City and work regularly out of the office in SoHo
- Hiring, mentoring, and creating a culture of AI innovation within the team
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary range for the Head of AI Engineering position?
The salary range is $180K - $290K.
Is this role remote or onsite, and what are the location requirements?
This is an onsite full-time role located in New York City, requiring regular in-person work 5 days a week at the SoHo office. Remote candidates will not be considered, and candidates must be willing to live in New York City.
What skills and experience are required for this role?
Required experience includes building with LLMs, knowledge of model capabilities and best practices for AI integrations, strong expertise in Python or Typescript, and high agency to figure things out independently.
What is the company culture and work environment like?
The culture emphasizes high craftsmanship, obsessing over details, giving your best effort, and fostering AI innovation within a driven, top-tier team. It's not a routine 9-5 job, with high ownership expected, including staying up late for urgent fixes, all in a beautiful SoHo office.
What makes a strong candidate for this Head of AI Engineering role?
Strong candidates have experience building with LLMs, expertise in Python or Typescript, high agency, and are willing to live in New York City for onsite work. Ability to lead, mentor a team, and thrive in a high-ownership environment with irregular hours is key.
Warp
GPU-accelerated terminal for developers
About Warp
Warp develops a terminal that enhances the command-line interface for developers. This terminal is built using Rust and is GPU-accelerated, which allows it to process commands more efficiently. It organizes output into command blocks and features a text editor with autocomplete capabilities similar to intellisense, making it easier for users to interact with the command line. Unlike traditional terminals, Warp focuses on collaboration and supports various engineering workflows, making it more intuitive for modern developers and teams. The company differentiates itself by prioritizing user feedback to create a product that truly meets the needs of software development and DevOps processes. Warp's goal is to improve developer productivity and streamline the development process.
New York City, New YorkHeadquarters
2020Year Founded
$71MTotal Funding
SERIES_BCompany Stage
Consumer Software, Enterprise SoftwareIndustries
51-200Employees
Benefits
Medical, dental, vision coverage
Competitive salary and equity
20 paid-time-off days
Ergonomic office equipment
Flexible work locations
Twice-a-year retreats
Risks
Competition from established terminals like iTerm2 could limit market penetration.
MacOS focus may restrict Warp's user base to non-Windows/Linux users.
Rapid AI advancements may outpace Warp's current features, requiring continuous innovation.
Differentiation
Warp uses Rust for a modern, efficient coding terminal.
The terminal features GPU acceleration for enhanced performance.
Warp's terminal supports collaborative workflows with persistent, searchable sessions.
Upsides
Increased Rust adoption boosts demand for Warp's core technology.
GPU-accelerated computing trend enhances Warp's competitive performance edge.
AI integration in developer tools positions Warp well in the market.
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