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Engineering Manager, Data / AI Team

BlueCargo

New York (NY)

Hybrid

USD 180,000 - 250,000

Full time

3 days ago
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Job summary

An innovative technology company is seeking an Engineering Manager for their Data/AI Team. This role offers a unique opportunity to lead a dynamic group of engineers focused on developing cutting-edge AI solutions that transform logistics and supply chain processes. As a key player, you will mentor talent, drive technical strategy, and collaborate closely with cross-functional teams to align AI initiatives with the company's strategic vision. Join a mission-driven team dedicated to efficiency and automation in global trade, and make a significant impact in a fast-growing environment.

Benefits

Medical benefits
Unlimited PTO
Flexible work environment
Community support from Y Combinator

Qualifications

  • 5+ years in engineering management with AI focus.
  • Proven expertise in AI/ML technologies and data pipelines.
  • Demonstrated ability to lead high-performing teams.

Responsibilities

  • Lead and mentor a team of AI engineers.
  • Drive implementation of scalable AI systems.
  • Collaborate with Product and Data teams for technical solutions.

Skills

AI/ML technologies
Data pipelines
Scalable system architecture
Problem-solving
Leadership
Communication

Education

Bachelor's degree in a relevant field
Master's degree in AI or related field

Tools

Python
Django
AWS
PostgreSQL
CircleCI

Job description

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This range is provided by BlueCargo. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$180,000.00/yr - $250,000.00/yr

About BlueCargo

BlueCargo is a fast-growing, VC-backed technology company transforming the logistics and supply chain industry. As the leader in container visibility and freight audit automation, our platform integrates fragmented data from terminals, carriers, and ports to deliver a single, intelligent interface that empowers shippers and logistics providers to make better, faster decisions. Our mission is to bring transparency, efficiency, and automation to global trade—one container at a time.

Backed by Y Combinator (W18) and leading investors, we raised our Series A in 2022 and are entering an exciting growth stage. Our platform is already trusted by hundreds of active customers and is helping them eliminate millions in unnecessary freight costs each year. As we scale, we’re investing deeply in engineering leadership to evolve our architecture, expand product capabilities, and lead the industry in data-driven logistics.

Why Join Now?

This is a rare opportunity to shape the future of a company with strong product-market fit, a modern tech stack, and real-world impact. You’ll work alongside a mission-driven founding team (including two female YC alumni), take ownership of a fast-growing engineering org, and play a key role in building a category-defining product that powers the global supply chain.

Our Tech Landscape

  • Backend: Python / Django
  • Frontend: JavaScript
  • Infrastructure: AWS (Lambda, RDS, S3), CircleCI
  • Database: PostgreSQL
  • Team: 12 engineers + 5 in product
  • Location: Hybrid from our HQ in Culver City, Los Angeles

Mission/Responsibilities

OPPORTUNITY OVERVIEW

\ We’re seeking an experienced Engineering Manager to lead our dynamic AI Team. In this role, you’ll build, mentor, and drive a team of talented engineers focused on developing scalable, innovative AI solutions. You’ll collaborate closely with Product, Data, and the broader Engineering organization to ensure that our AI initiatives directly contribute to BlueCargo’s strategic vision.

  • Team Leadership & Growth:
    • Hire, mentor, and manage a high-performing team of AI engineers.
    • Foster a culture of innovation, continuous learning, and accountability.
    • Oversee onboarding, career development, and performance management.
  • Technical Strategy & Execution:
    • Provide technical guidance and leadership on AI projects, including architecture design and code quality.
    • Drive the implementation of robust, scalable AI systems that automate freight audit processes.
    • Ensure rigorous testing, code reviews, and adherence to best practices.
  • Cross-Functional Collaboration:
    • Work closely with Product and Data teams to translate business challenges into technical solutions.
    • Lead regular execution meetings and contribute to sprint planning to ensure project alignment and timely delivery.
    • Act as a key technical advisor in strategic discussions, helping shape our roadmap and priorities.
  • Operational Excellence:
    • Define and track key performance indicators (KPIs) to measure team success and process efficiency.
    • Champion agile methodologies and continuous improvement practices within the team.
    • Manage technical debt and ensure that our AI solutions are sustainable and future-proof.
Qualifications

In addition to the following technical skills, we are looking for PROBLEM SOLVERS with an entrepreneurial mindset.

  • Experience: 5+ years in engineering management, with a strong background in AI, machine learning, or data-driven product development.
  • Technical Skills: Proven expertise in AI/ML technologies, data pipelines, and scalable system architecture. Familiarity with modern programming languages (e.g., Python, Java) and cloud platforms (AWS, GCP, or Azure) is a plus.
  • Leadership: Demonstrated ability to build and lead high-performing teams. Excellent communication skills and a collaborative mindset are essential.
  • Strategic Vision: A knack for balancing short-term execution with long-term innovation. You should be comfortable making strategic technical decisions and aligning them with business goals.
  • Problem-Solving: A strong analytical mindset with a passion for tackling complex technical challenges and delivering impactful solutions.

Classification

  • Perks: Medical benefits + unlimited PTO
  • Fun perks: flexible and international environment
  • Support/Community: Enjoy being a member of a Y Combinator company!

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    IT Services and IT Consulting

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