Engineering Manager - AI

Reposted 11 Days Ago
Be an Early Applicant
8 Locations
In-Office
213K-328K
Senior level
Blockchain • Cryptocurrency
The Role
Lead and manage the Focal engineering team focused on AI-powered insights. Oversee software development, technical strategy, and ensure the platform's scalability and security.
Summary Generated by Built In

Who are we?

FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and 
cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever-
evolving cryptocurrency landscape.

As the Engineering Manager for Focal, you will be responsible for leading the specialized engineering team dedicated to our AI-powered insights platform. Your leadership will be crucial in building and scaling the complex systems that power Focal, focusing on search, large-scale data processing, and Generative AI. You will drive the technical execution required to deliver a best-in-class, secure, and performant AI solution for our institutional clients.

Key Responsibilities
  1. Lead, mentor, and manage the Focal engineering team, fostering a culture of high performance and technical excellence.
  2. Drive the technical strategy and architecture for Focal's backend systems, with a focus on search, data processing, and AI/GenAI model integration.
  3. Oversee the end-to-end software development lifecycle, ensuring the timely and successful delivery of high-quality code and features.
  4. Partner closely with Product Managers other stakeholders to translate product requirements into robust and scalable technical solutions.
  5. Champion best practices in software development, including agile methodologies, code reviews, and testing.
  6. Ensure the scalability, reliability, and security of the Focal platform to meet the demands of institutional-grade service.
  7. Maintain deep, hands-on knowledge of the technology stack and contribute to technical discussions and problem-solving.
  8. Stay current with emerging trends and technologies in Generative AI, Large Language Models (LLMs), information retrieval, and data engineering.
Qualifications and Skills
  1. Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s or PhD preferred.
  2. 8+ years of experience in software engineering, with at least 3 years in a technical leadership or management role.
  3. Proven experience building and leading teams focused on search, information retrieval, or large-scale data systems.
  4. Strong background in Artificial Intelligence (AI), Machine Learning (ML), and specifically Generative AI (GenAI), including experience with LLMs and their application.
  5. Hands-on experience with relevant technologies such as vector databases, distributed data processing frameworks (e.g., Spark), and cloud platforms (AWS, GCP).
  6. Exceptional project management skills and ability to manage priorities in a fast-paced environment.
  7. Excellent communication skills, capable of guiding a technical team and articulating complex concepts to non-technical stakeholders.

The base pay for this role is expected to be between $213,000-$288,000 USD for a Manager level and $242,000-$328,000 for a Senior Manager level in the New York City and San Francisco Bay Area. This expected base pay range is based on information at the time this post was generated. This role will also be eligible for other forms of compensation such as a performance linked bonus, equity, and a competitive benefits package. Actual compensation for a successful candidate will be determined based on a number of factors such as location, skillset, experience, qualifications and the level at which the candidate is hired.

Notice at Collection and Privacy Policy

Applicants located in California and/or applying to a role based in California, please refer to our Notice at Collection and Privacy Policy here.


Inclusivity Statement

FalconX is committed to building a diverse, inclusive, equitable, and safe workspace for all people. Our roles are intended for people from all walks of life. We encourage all those interested in applying to our organization to submit an application regardless if you are missing some of the listed background requirements, skills, or experiences!

As part of our commitment to inclusivity, FalconX would like to acknowledge that the EEOC survey has limited potential responses that you can select. For legal reasons, FalconX must use this language to align with federal requirements, however, we want to ensure that you are able to provide a response to our own voluntary survey questions about your identity that best aligns with your most true self.

FalconX is an equal opportunity employer and will not discriminate against an applicant or employee based on race, color, religion, national origin, ancestry, ethnicity, sex (including gender, pregnancy, sexual orientation, and gender identity), age, physical or mental disability, veteran or military status, genetic information, citizenship, or any other legally-recognized protected basis under federal, state, or local law.

Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and other applicable state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on FalconX. Please inform FalconX’s People team at [email protected], if you need assistance with participating in the application process.

Top Skills

Artificial Intelligence
AWS
Distributed Data Processing Frameworks
GCP
Generative Ai
Large Language Models
Machine Learning
Spark
Vector Databases
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The Company
HQ: San Mateo, CA
237 Employees
Year Founded: 2018

What We Do

FalconX is a digital asset trading platform that provides clients fast, secure and reliable execution using data science to eliminate slippage and hidden fees.

We’re fortunate to be backed by a wide range of investors including: Accel, Fidelity, B-Capital, Tiger Global, Accomplice, Coinbase, Fenbushi Capital, Flybridge Capital, Lightspeed Venture Partners, and others.

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