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A leading global technology company is seeking a Technical Operations Engineer in London. This role involves managing customer support requests, troubleshooting technical issues, and collaborating with activation teams. The ideal candidate will possess strong analytical skills and experience in SQL, with a focus on enhancing operational efficiency through automation.
What we do:
Zefr is the leading global technology company enabling responsible marketing in walled garden social environments. Zefr’s solutions empower brands to manage their content adjacency on scaled platforms such as YouTube, Meta, TikTok, and Snap, in accordance with industry standard frameworks. Through its patented AI technology, Zefr offers brands and agencies more accurate and transparent solutions for social walled gardens. The company is headquartered in Los Angeles, California, with additional locations across the globe.
What you’ll do:
The Technical Operations team at Zefr is responsible for the success of customers' usage of our advertising solutions. As a key stakeholder between the business and engineering sides of the company, Tech Ops monitors the day-to-day engineering processes at Zefr to ensure availability, predictability, and reliable operations in the production environments for our customers.
We are seeking a Technical Operations Engineer in our London office to assist in managing front-line customer support requests, troubleshooting technical issues, and handling various configuration tasks for our UK and EMEA-based activation teams. In this role, you will serve as a critical communication bridge, translating customer issues into actionable insights for our product and engineering teams, and communicating resolutions back to activation teams and customers. You will also have a chance to create strong relationships with our client-facing activation teams and help our customers achieve their goals.
Key Responsibilities:
Takes ownership of the end-to-end customer experience, proactively prioritizing and resolving technical issues while adhering to established service level agreements
Supports front-line operations through the triage and resolution of inbound customer support requests
Troubleshoots user interface issues, user access problems, and potential data delays or discrepancies
Manages targeting and configuration requests, including assistance with programmatic inclusion/exclusion lists and campaign data backfilling
Performs ad-hoc SQL queries to assist targeting and measurement activation teams for various needs, such as custom reporting, data analysis, and dashboard creation
Provides feedback from their experience to guide the direction of our products
Engages in strategic initiatives focused on implementing automation solutions and enhancing product support operations by exploring the potential of artificial intelligence, including the utilization and creation of custom Large Language Model (LLM) tooling, to improve overall efficiency and effectiveness of product support operations
What we’re looking for:
Bachelor’s degree in Computer Science, Business, or related field (or equivalent experience)
1-2 years of experience in engineering, operations, QA, or technical support
Proficient SQL skills needed for querying large databases, data troubleshooting, and custom reporting.
Strong analytical and problem-solving skills with attention to detail
Proven ability to communicate complex technical issues clearly and patiently to both technical and non-technical audiences (internal teams and potentially external clients)
Ability to manage multiple tasks, prioritize effectively, and work in a fast-paced environment
Willingness to identify and own problems throughout the full lifecycle, from a vague problem to a delivered solution
Preferred Qualifications:
Experience in a customer-facing technical role is highly desirable
Experience building complex queries within the Snowflake Data Cloud environment
Practical Python skills applied to automation, scripting, and data analysis within an operational context
Familiarity with data visualization tools (ex: Looker) — LookML experience is a major plus
Proficiency in building and applying custom Large Language Model (LLM) tools for operational tasks
Experience with various media activation platforms (ex: Google Ads, Meta Business Manager, TikTok Ads Manager)
Working knowledge of cloud platforms (GCP, AWS) and their data services; experience with Google Ads Data Hub (ADH) is a strong asset
Benefits:
At Zefr, we embrace a flexible work environment that empowers our team to do their best work—whether that’s from home, a favorite local spot, or our vibrant London office. While remote work is supported, we also value in-person connection and collaboration. Our team regularly comes together in our office space for brainstorming sessions, team-building, and shared moments that spark creativity and strengthen our culture.
Monthly allowance toward Health Care, Dental, Optical, Income Protection and Relevant Life
Pension Scheme with 3% contribution from the Company
Holidays: Total of 28 days per year (including UK Bank Holidays)
Flexibly hybrid work schedule
Summer Fridays (we leave early)
Compensation:
The anticipated salary for this position is between 80,000 to 100,000 GBP. Within the range, individual pay is determined by factors such as job-related skills, experience, and relevant education or training. If your compensation expectations fall outside of this range, it may still be worth having a conversation.
Zefr is an equal opportunity employer that embraces diversity and inclusion in the workplace. We are committed to building a team that represents a variety of backgrounds, skills, and perspectives because we know this only makes us better. We strongly encourage women, persons of color, LGBTQIA+ individuals, persons with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply even if you do not meet 100% of the qualifications.