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Xtillion

Engineering Manager

  • Seen live on Xtillion's site yesterday
  • Senior
Pay
Not stated
Location
San Juan, Puerto Rico
Open for
12+ days
First seen
Oct 23, 2026

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Xtillion's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Xtillion, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

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What it asks of you

1–3 years of experience
“1-3 years of experience leading or managing technical teams” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

About Xtillion

Xtillion is a fast-growing AI solutions firm helping organizations build, operationalize, and scale high-value AI systems. We deliver end-to-end solutions, from design to deployment in real-world environments, combining deep data expertise with a strong focus on measurable business impact.

Based in San Juan, Puerto Rico, Xtillion partners with organizations across U.S. industries to solve complex, high-impact business problems. We invest in our people and offer opportunities to work on technically challenging, customer-facing systems that directly influence client success.

About the Role

We’re looking for an Engineering Manager to lead teams building and deploying AI-powered, production-grade software systems directly into customer environments.

In this role, you’ll operate at the intersection of technical leadership and client engagement. You’ll be responsible for guiding engineers through ambiguous problem spaces, ensuring high-quality execution, and maintaining strong alignment between business objectives and technical solutions.

This position is ideal for leaders who enjoy being hands-on when needed, working closely with clients, mentoring engineers, and owning the successful delivery of complex, real-world systems.

What You’ll Do

  • Lead and support teams of software and data engineers delivering AI-enabled systems in production
  • Own the technical execution and delivery of client-facing projects, ensuring quality, reliability, and outcomes
  • Collaborate with cross-functional teams to translate business needs into production-ready systems
  • Guide system and solution design across infrastructure, backend services, data platforms, and AI workflows
  • Provide technical mentorship and coaching to engineers through problem solving sessions, code reviews, design discussions, and regular feedback
  • Balance short-term delivery needs with long-term system maintainability and scalability
  • Stay current with emerging AI and software technologies and apply them pragmatically to client solutions

What We’re Looking For

Required Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field
  • 6+ years of full-stack software engineering experience
  • 1-3 years of experience leading or managing technical teams
  • Demonstrated ability to set technical direction for client-facing initiatives, balancing delivery commitments, stakeholder expectations, and technical quality
  • Proven ability to lead client projects, build strong relationships, and deliver on-time results aligned with client goals.
  • Experience designing, building and maintaining production-grade systems in cloud environments (e.g., AWS, Azure, etc.)
  • Expertise in software engineering best practices, system design, and agile delivery methodologies
  • Experience with version control systems (e.g., GitHub) and CI/CD processes
  • Strong written and verbal English communication skills

Preferred Qualifications

  • Experience building or deploying AI-enabled systems, including LLM-based workflows (e.g., RAG, agentic systems, fine-tuning)
  • Experience with data-intensive systems, including ETL/ELT pipelines and analytical platforms
  • Experience with Infrastructure as Code (e.g., Terraform)
  • Experience with workflow orchestration (e.g., Airflow, AWS Step Functions)
  • Strong experience with SQL and relational or analytical data systems
  • Associate-level cloud architect certification (e.g., Azure Solutions Architect Associate, AWS Solutions Architect Associate, or equivalent)

Why Join Xtillion

At Xtillion, you’ll take ownership of meaningful, production-grade systems and work on software that is relied upon in real-world environments. You’ll join a fast-moving team where engineers influence technical direction and uphold strong engineering standards, supported by competitive compensation and meaningful opportunities for career growth.

Ready to Build What Matters?

Join Xtillion and be part of a collaborative team delivering real-world data and AI solutions at scale. If you’re excited about taking ownership of complex systems and turning AI into measurable business outcomes, we’d love to hear from you!

Learn more at https://www.xtillion.com

We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off and 401(k) plan.

We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact gguerrero@xtillion.com

Xtillion is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other basis protected by law. Employment at Xtillion is based solely on a person's merit and qualifications.

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