Engineering Innovation Lead

Building World-Class Teams. Are you ready to be part of a dynamic team at the forefront of subscription spend management innovation?

Join us in our mission to revolutionize subscription management and make a meaningful impact on the way businesses access and utilize critical information. At TRG Screen, your talent and ambition will find a home, where opportunities for growth and advancement abound.

TRG Screen is the leading provider of market data and subscription management technology and automation solutions, tailored to the unique needs of financial institutions and legal firms. Our integrated suite of solutions includes market data and subscription spend management, usage management, compliance reporting, and comprehensive managed services, which hundreds of clients worldwide use to remove cumbersome and inaccurate manual processes and gain control over market data and subscription costs at scale. For more than 25 years, TRG Screen has enabled businesses who rely on market data to monitor and strategically manage spending and usage of data and information services, including market data, research, software licenses, consulting and other necessary corporate expenses. TRG Screen solutions give decisionmakers full transparency into subscription spend and usage, enabling them to proactively manage subscription costs at scale, conduct more informed vendor negotiations, improve governance, and avoid unnecessary spending on these mission-critical business services. TRG Screen is headquartered in New York City, with offices in Europe and Asia, as well as a 24x7 client support center in Bangalore, India.

TRG Screen is a portfolio company of Vista Equity Partners, one of the world’s largest and most respected private equity firms.

Reports to: Engineering Leadership

The Engineering Ops Lead will own L3 production support across TRG Screen's suite of six products, building and leading a centralised support function from the ground up. This is a technically senior, hands-on lead role combining strong engineering capability with operational discipline, data-driven thinking, and the people skills to lead a small team.

The ideal candidate will use patterns, data, and AI tooling to move the function from reactive to proactive – eliminating recurring issues at root cause and systematically reducing ticket volumes. They are comfortable leading under pressure, communicating clearly to stakeholders, and building a team culture where quality and continuous improvement go hand in hand.

Data & automation – Track support patterns to identify recurring issues and automation opportunities. Drive toil reduction and use data to make the case for engineering fixes that prevent future tickets.

Delivery reporting – Produce regular reporting for the Engineering Leadership covering ticket volumes, resolution times, SLA adherence, and automation outcomes.

AI – Actively adopt AI tooling to accelerate diagnosis, automate triage, and build smarter runbooks.

People leadership – Manage and develop a small team through 1:1s, timely feedback, and career development. Work closely with product engineering teams to feed issues back into development backlogs, and with Client Success on incident communication.

5+ years of professional software engineering or production engineering experience with an enterprise-grade stack.

• Data-driven approach to identifying patterns and driving systemic improvements.
• Experience building or centralising a support function, including defining process and tooling.

Familiarity with AI tooling for operations – log analysis, anomaly detection, or LLM-based triage.

Background in financial services, market data, or a regulated technology environment.

Exposure to cloud platforms (Azure or AWS) and CI/CD practices.

We recognise and value the power of diversity in our workplace and are committed to being an employer of choice for everyone. By cultivating a culture of inclusion where every voice is heard and valued, we empower our world class teams to thrive, excel, and drive positive change.

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