Engineering Manager – Retrieval

Reposted Yesterday
3 Locations
In-Office or Remote
392K-588K Annually
Senior level
Software
Zendesk is a service-first CRM company that builds software designed to improve customer relationships.
The Role
Build and scale ML-powered search and RAG capabilities at Zendesk scale. Collaborate with product, ML scientists, and engineers to design, deploy, and maintain reliable production services, improve relevance and ranking, optimize indexing pipelines, and mentor teammates while applying experiments and analysis to drive decisions.
Summary Generated by Built In
Job Description

Zendesk’s people have one goal in mind: to make Customer Experience better. Our products help more than 145,000 global brands (Airbnb, Uber, JetBrains, Slack, among others) make their billions of customers happy, every day.

Our team is dedicated to providing a robust multimedia search experience for our customers across multiple channels, including help centers, RAG (retrieval-augmented-generation) and AI Agents bots and CoPilot systems. In collaboration with ML engineers and scientists, we deliver high-quality AI products leveraging the latest tools and techniques, and serve them at a scale that most companies can only dream of. We’re passionate about empowering end-users to find what they’re looking for, and helping our customers get the most out of their knowledge base.


As an Engineering Manager, you will lead all aspects of a cross-functional team responsible for the end-to-end delivery of Zendesk’s Retrieval platform. You will demonstrate your management expertise to steer the team while ensuring alignment with sound engineering practices. You will help ensure that search and ML-powered products built on your team’s systems are deployed and maintained efficiently at scale, with suitable cost and measurable quality. You will also champion the effective use of the latest-generation AI-assisted tools as part of the team’s day-to-day engineering practices.


You’ll work with Engineering, Product Management, ML Scientists, ML Engineers, Architects and other partners to ensure your team’s roadmap is aligned with company strategy. You’ll help the team deliver a reliable, scalable retrieval platform and ship architecturally sound software at a regular cadence.


What you’ll be doing
  • Lead a team of experienced Engineers, offering direction and assistance at every stage of the lifecycle of the project.
  • Collaborate with existing leadership to continually improve software delivery and service reliability.
  • Maintain exceptional service levels on your team’s products and services.
  • Lead the recruitment of new team members and facilitate a speedy, engaged interview and onboarding process.
  • Have quality 1:1s with your team members focusing on their performance, growth and well-being.
  • Create a diverse and inclusive working environment where people can thrive.

What you bring to the role
  • Experience managing people across one or more teams, ideally working with large, distributed Internet-facing systems.
  • Background in medium/large companies: understanding the interconnections between various teams and features is vital for success in this role.
  • Proven expertise in leading the delivery of ML-powered products or Retrieval systems to production.
  • Phenomenal communication skills, both written and verbal.
  • Refined prioritization skills: you are able to focus your and the team’s time and energy where it’ll have the most impact.
  • A dedication to continual self-development.
  • Collaborative, upbeat work ethic where you can take ownership and have fun.

Tech Stack
  • Our codebase is primarily written in Ruby and Python.
  • Data is stored in RDS MySQL, Redis, S3, Elasticsearch and Kafka.
  • Our platform is built on AWS.
  • Services are deployed to Kubernetes using Docker, with Kafka for stream processing.
  • Infrastructure health is monitored using Datadog and Sentry.

What we offer
  • Full ownership of the projects you work on.
  • Exciting opportunity to work on Retrieval and RAG (retrieval-augmented generation), a rapidly evolving field in AI and natural language processing.
  • Ownership of product features at scale, making a significant impact for millions of end-users.
  • A team of passionate people who love what they do.
  • Exciting projects, with the ability to implement your own ideas and improvements.
  • Opportunity to learn and grow.

Where We Work

We’re rapidly growing our teams in Lisbon - Portugal and Krakow - Poland. We have exciting next-generation ML-powered products that are already in use by customers in the banking and finance area, online and offline retailers, and even national postal services. You will work with a driven team, passionate about delivering the right experience to end-users using sophisticated and pioneering ML technology.


#LI-MK12

The Poland annualized base salary range for this position is zł324,000.00-zł486,000.00. Please note that while the salary range represents the minimum and maximum base salary rate for this position, the actual compensation offered will be based on job related capabilities, applicable experience, and other relevant factors. This position may also be eligible for bonus, benefits, or related incentives that will be communicated during the offer stage.

The intelligent heart of customer experience

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to [email protected] with your specific accommodation request.

Skills Required

  • Proficiency in Python or Ruby
  • Experience with relevant testing frameworks
  • Solid understanding of architecture and software design patterns for server-side and web applications
  • Collaborative and growth mindset
  • Ability to work independently and self-manage
  • Experience building scalable and stable software applications
  • Ability to formulate hypotheses, conduct experiments, and analyze results
  • Experience designing, implementing, and optimizing search solutions using ML and Elasticsearch
  • Experience managing and deploying cloud services with AWS
  • Experience with event-driven, distributed architecture using Kafka
  • Experience with PyTorch (ML model development)

Zendesk Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zendesk and has not been reviewed or approved by Zendesk.

  • Fair & Transparent Compensation The company states a commitment to publishing base pay ranges and advancing pay equity, helping employees gauge fairness. Public messaging on pay equity and transparency signals structured, consistent compensation practices.
  • Leave & Time Off Breadth Time away programs include flexible PTO, dedicated well‑being days, emergency time off, and pregnancy loss leave. Parental leave is described as generous, and travel support exists for reproductive care where access is restricted.
  • Healthcare Strength Benefits language highlights comprehensive medical, dental/vision, mental health access, and an employee assistance program. These offerings are positioned as part of holistic wellbeing support across regions.

Zendesk Insights

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The Company
HQ: San Francisco, CA
6,277 Employees
Year Founded: 2007

What We Do

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love. We advocate for digital first customer experiences— and we stick with it in our workplace. Over 5,000 employees worldwide are collaborating from kitchen tables, home offices, co-working spaces, and Zendesk workspaces to make one team.

Why Work With Us

We know one desk doesn’t fit all. At Zendesk, we prioritize remote work because we believe great work happens anywhere. Digital first is more than where we work though. We give our employees flexibility and choice in both where and how they work while also trusting them to be a team player.

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