Your browser cookies must be enabled in order to apply for this job. Please contact if you need further instruction on how to do that.

Engineering Manager

Technology | Dublin, Ireland | Full Time

Job Description

The Company

On the Deloitte Fast 500 for five years running, Sojern applies technology to the travel advertising space, delivering $10B in bookings for the thousands of hotel, airline, and cruise companies that make up our customer base. Our goal is to show the right ad at the right time to the right person, and we use our significant data advantage to make that happen.

Sojern is a profitable privately-held company that has a clear path to significant upside. This unique situation enables a culture that values a balance between impact and life. For example, we have company-wide volunteer goals, and we encourage travel and time off.

The Role

The Platform Engineering team at Sojern owns our traveler profile store, our data warehouse, and Sojern’s broader technology stack:

  • Sojern’s traveler profile system processes 100M pixels each day, and updates our targeting within 100 ms,

  • Sojern’s data warehouse tracks 350M anonymized traveler profiles, enabling creation of more effective user targeting for ads, and

  • Sojern’s tech stack scales globally on GCP and supports engineering and data science teams that build systems that reach users across display, SEM and Facebook.

We’re looking for a Engineering Manager in our Dublin office as we build out our Software Engineering team in that location, an ideal candidate will be someone who can leverage their prior Ad Tech experience, be hands on contributor to start, recruit quickly and manage a team of high caliber software engineers, and take on and lead large projects, from inception to completion.

The Expertise We’re Looking For:

  • Experience working as a technical lead, building production quality solutions with a focus on scale and reliability.

  • Hands on experience building and running production systems on Google Cloud or AWS.

  • Hands on experience with Kubernetes.

  • Exposure to machine learning in a production setting.

  • At least 4 years of growing and managing engineering teams.

  • At least 8 years of leading high-performance, scalable software projects end-to-end, including managing complex projects in JIRA.

  • At least 3 years of experience within the Ad Tech ecosystem, e.g., experience on FB, RTB, SEM, or display campaign optimization.

  • A MS or PhD in CS or CS/EE.


The Skills You Bring:

  • You have hands on experience with Python, Go/Java and Git.

  • You effectively communicate to teams across an organization.

  • You excel at leading/mentoring teams.

  • You have a record of shepherding large projects from ideation to completion.

  • You can independently solve technical challenges, analyzing options and innovating in the context of trade-offs.

  • You know how to balance business priority with engineering priority.

  • You have experience working with teams distributed geographically.


The Value You Deliver:

  • Lead and mentor your direct reports.

  • Provide technical direction and feedback for our next generation platform.

  • Propose and drive innovation that is aligned with the business goals.

  • Evangelize new technologies and best-in-class software engineering processes.

  • Actively participate in code/design reviews.

  • Be hands-on whenever needed to get projects off the ground or drive them to completion.


The Perks

  • Opportunities: Be part of a growing team with training and support to help you grow.

  • Ownership: Lead creative and challenging projects.

  • Give Back: We give 40 hours a year to volunteer and organize office volunteer programs with local organizations.

  • Culture: Strong core business values, focus on teamwork, vibrant, social and fun environment.

  • Snacks: Variety of snacks in the office.

  • Upside: Stock options.

At Sojern, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.