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AI Engineering Manager

TRM Labs is a blockchain intelligence company committed to fighting crime and creating a safer world. By leveraging blockchain data, threat intelligence, and advanced analytics, our products empower governments, financial institutions, and crypto businesses to combat illicit activity and global security threats. At TRM, you'll join a mission-driven, fast-paced team made up of experts in law enforcement, data science, engineering, and financial intelligence, tackling complex global challenges daily. Whether analyzing blockchain data, developing cutting-edge tools, or collaborating with global organizations, you'll have the opportunity to make a meaningful and lasting impact.

Join a pioneering AI Engineering team at the intersection of blockchain technology and artificial intelligence.

At TRM, we're on a mission to leverage AI and machine learning to build sophisticated intelligence solutions that provide unique insights and actionable data in the blockchain space. As the first AI Engineering Manager, you will work alongside a multidisciplinary team of blockchain experts, data scientists, and software engineers to design, develop, and deploy ML/AI-driven solutions that push the boundaries of what's possible in blockchain intelligence. This role is ideal for someone who is passionate about innovation and eager to contribute to an emerging field. We’re looking for someone who is technically strong and willing to be very hands on/do some IC work, in addition to being a leader.

The impact you will have:

  • Partner with internal and external customers to understand their long-term goals and distill them into ambitious, actionable plans that drive success.
  • Own the vision and roadmap for AI-driven products, identifying opportunities to solve real-world customer problems in blockchain intelligence.
  • Lead the technical implementation of AI systems, ensuring scalability, reliability, and long-term sustainability while managing technical debt.

What we’re looking for:

  • Experience in Productizing ML/AI - 5+ years of experience building and deploying multiple AI systems in production. Must have experience building AI products at a high velocity. GenAI Productization experience is a plus.
  • AI/ML Expertise: Deep understanding of AI technologies, LLMs, ML, NLP, and their applications in production environments.
  • Programming Skills - Proficiency in Python and other relevant programming languages such as Java, C++, or Solidity. Experience with SQL and NoSQL databases is a plus.
  • Data Skills - Strong experience with data preprocessing, feature engineering, and data mining. Familiarity with large-scale data warehouses and frameworks (e.g., Hadoop, Spark, BigQuery, Snowflake) is a plus.
  • Problem-Solving Mindset - Ability to break down complex problems and implement efficient and innovative solutions that deliver measurable value to our customers. Experience in a fast-paced environment and comfort with iterative development is essential.

About the Team:

  • Seniority: A mix of different levels of seniority team members, fostering mentorship and collaboration.
  • Collaboration Style: Fast-paced, short, and ambitious sprints designed to drive immediate impact.
  • Culture: A small startup within a startup—a team that thrives on autonomy, rapid iteration, and high ownership.
  • Soft Skills That Fit Well: Comfortable with ambiguity, adaptable to failure, and driven by customer success rather than technical perfection.

Learn about TRM Speed in this position:

  • Building a full AI product in 1 week and serve it to the customer
  • Generating 20 snap leads on a day
  • Building a new AI tool in 1 day


Life at TRM Labs

Leadership Principles

Our LPs are foundational elements of our strategy, guiding how we make decisions, how we treat each other, and how we behave day-to-day.

  • Impact-Oriented Trailblazer – We put customers first, driving for speed, focus, and adaptability.
  • Master Craftsperson – We prioritize speed, high standards, and distributed ownership.
  • Inspiring Colleague – We value humility, candor, and a one-team mindset.

Accelerate your Career 

Join a mission-driven team of industry leaders and make a real-world impact—disrupting terrorist networks, recovering stolen funds, and more. At TRM, you will:

  • Work alongside top experts and learn every day.
  • Embrace a growth mindset with development opportunities tailored to your role.
  • Take on high-impact challenges in a fast-paced, collaborative environment.

Thrive as a Global Team 

As a remote-first company, TRM Labs is built for global collaboration.

  • We cultivate a strong remote culture through clear communication, thorough documentation, and meaningful relationships.
  • We invest in offsites, regional meetups, virtual coffee chats, and onboarding buddies to foster collaboration.
  • By prioritizing trust and belonging, we harness the strengths of a global team while staying aligned with our mission and values.

Join our mission!

We’re looking for team members who thrive in fast-paced, high-impact environments and love building from the ground up. TRM is remote-first, with an exceptionally talented global team. If you enjoy solving tough problems and seeing your work make a difference for billions of people, we want you here. Don’t worry if your experience doesn’t perfectly match a job description— we value passion, problem-solving, and unique career paths. If you’re excited about TRM’s mission, we want to hear from you.

Recruitment agencies

TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.

Privacy Policy

By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy

Learn More: Company Values | Interviewing | FAQs

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CEO of TRM Labs
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Esteban Castaño
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What You Should Know About AI Engineering Manager, TRM Labs

At TRM Labs, we are on a cutting-edge mission to harness artificial intelligence for the advancement of blockchain intelligence, and we’re looking for an enthusiastic AI Engineering Manager to join our innovative team. As the first of your kind in this role, you will lead a diverse group of blockchain experts, data scientists, and software developers to design and implement groundbreaking AI-driven solutions that address real-world challenges in the blockchain space. With your hands-on coding skills and technical expertise, you will shape the vision and roadmap for our AI products, transforming customer insights into strategic plans that elevate our technology. Passion for collaboration is key here, as you'll be working closely with internal and external partners to not only understand their long-term goals but also to translate those into actionable projects. Your proactive approach will help ensure our AI systems are not only scalable and reliable but also sustainable in the long term. If you're excited about developing innovative solutions in a fast-paced environment, enjoy tackling complex problems, and thrive on making a real impact, TRM Labs is the perfect place for you. You'll play a crucial role in driving innovation, all while working with a talented team that values growth, creativity, and the pursuit of excellence. Joining us means becoming part of a mission-driven culture that is dedicated to building safer environments by leveraging blockchain technology, and we can't wait for you to contribute your unique skills and ideas to our journey!

Frequently Asked Questions (FAQs) for AI Engineering Manager Role at TRM Labs
What are the key responsibilities of the AI Engineering Manager at TRM Labs?

As an AI Engineering Manager at TRM Labs, you will take ownership of the vision and roadmap for our AI-driven products, partnering with customers to understand their goals and translating them into actionable projects. You will lead a talented team to design, develop, and deploy robust AI and ML solutions, ensuring scalability and reliability while managing technical debt effectively.

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What qualifications are required for the AI Engineering Manager position at TRM Labs?

To be successful in the AI Engineering Manager role at TRM Labs, candidates should have over 5 years of experience in productizing AI systems, with hands-on knowledge in building and deploying multiple AI solutions in production environments. A deep understanding of AI technologies such as LLMs and NLP, along with proficiency in programming languages like Python, is crucial.

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What is the team culture like for the AI Engineering Manager at TRM Labs?

At TRM Labs, the culture for the AI Engineering Manager and their team is characterized by autonomy, rapid iteration, and high ownership. You’ll be working in a fast-paced environment that encourages collaboration among team members with varying levels of experience, fostering mentorship and innovation as you tackle complex global challenges.

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How does TRM Labs support professional growth for the AI Engineering Manager role?

TRM Labs prioritizes professional growth for the AI Engineering Manager role through a commitment to learning and development. You'll have access to tailored development opportunities, and we encourage embracing a growth mindset, allowing you to further your skills and advance your career in a mission-driven environment.

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What impact can an AI Engineering Manager expect to make at TRM Labs?

An AI Engineering Manager at TRM Labs can expect to make a significant impact by driving innovation in blockchain intelligence. You will lead initiatives that address real-world problems, employing AI to create actionable insights that help safeguard financial institutions and combat illicit activities globally.

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Common Interview Questions for AI Engineering Manager
Can you describe your experience in productizing AI systems?

In discussing your experience with productizing AI systems, focus on specific projects where you played a pivotal role. Detail the processes used to take an AI solution from development to production, including any challenges faced and how you overcame them to meet business needs.

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What frameworks or tools have you used in AI/ML development?

When answering this question, list the frameworks and tools you are familiar with, such as TensorFlow, PyTorch, or Scikit-learn. Explain how you've implemented them in practical scenarios, emphasizing your hands-on skills and any successes achieved in your projects.

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How do you ensure scalability and reliability in AI solutions?

To ensure scalability and reliability in AI solutions, discuss your approach to system design, including how you manage model and data pipelines, monitor performance metrics, and implement continuous integration and monitoring to maintain system resilience.

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What is your approach to collaborating with cross-functional teams?

Highlight your strategies for effectively working with cross-functional teams, such as establishing clear communication channels, setting mutual goals, and ensuring a shared understanding of project timelines and deliverables to foster collaboration.

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Can you provide an example of a complex problem you've solved in AI?

When discussing a complex problem you've solved, narrate a specific instance. Outline the problem, the methods you employed to analyze and resolve it, and the impact your solution had on the overall project and organization.

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How do you keep up with the latest advancements in AI/ML?

Share your methods for staying updated with the latest in AI/ML, such as participating in webinars, following industry publications, joining professional networks, or engaging with open-source projects that contribute to your growth and knowledge in the field.

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What challenges do you foresee in AI development for blockchain technology?

Discuss potential challenges in AI development for blockchain, such as data privacy, scalability, or integration issues. Offer insights into how you would approach addressing these challenges through innovative solutions or strategic planning.

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How would you prioritize features in an AI product roadmap?

When addressing feature prioritization in an AI product roadmap, explain your strategy for aligning features with customer needs, business goals, and technical feasibility, ensuring that you employ data-driven decision-making to inform your priorities.

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What programming languages do you find most valuable for AI product development?

In your response, discuss the programming languages you find most effective for AI development. Emphasize your experience with Python, Java, or relevant languages, and provide examples of how these languages have been tools for your successful projects.

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What metrics do you consider essential in evaluating AI system performance?

When discussing essential metrics for evaluating AI system performance, mention key indicators such as accuracy, precision, recall, F1 score, and how you apply these metrics to assess models and ensure they meet desired performance standards.

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At TRM, we build trust in digital assets by helping financial institutions prevent cryptocurrency fraud and financial crime. TRM exists so that no matter where you live, what you do, or how much you earn, you know that your digital assets are safe...

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Full-time, remote
DATE POSTED
April 16, 2025

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