Platform Engineering Manager (Security)

Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk.

We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge.

Overview: We are looking for a Platform Engineering Manager with a strong hands-on engineering background to lead and grow a team of platform engineers focused on developer experience and productivity—enabling engineers to ship high-quality software quickly, safely, and at scale. You will lead by example, champion an AI-forward engineering culture, and mentor your team while contributing to and driving roadmaps for efficient CI/CD pipelines, developer workflows, and AI-powered platform tooling.

You will collaborate across Engineering, Infrastructure, Security, and Product, fostering a culture of end-to-end ownership, fast iteration, and continuous learning.

• Lead a platform engineering team, contributing to and driving roadmaps for efficient CI/CD pipelines, developer workflows, and internal developer tooling.
• Own capacity planning and define right-sized architecture patterns and templates that let engineering teams move and ship confidently without needing the deep platform or infrastructure expertise held by other groups, continuously refining these patterns so that building or scaling a new service gets easier each time.
• Lead development of AI-powered platform tooling, including agent-based workflows that gather context and generate structured, human-reviewed plans for complex platform changes, and automation that streamlines recurring SRE/support workflows.
• Partner with Engineering, Infrastructure, Security Engineering, and Product—and continuously listen to developer pain points and feedback—to synthesize requirements and prioritize the platform investments with the greatest impact.
• Coach and develop engineers, including technical leads and senior engineers, through frequent feedback and technical guidance, fostering a high-accountability, inclusive culture of end-to-end ownership and fast iteration where failure is treated as a learning opportunity.

1-2 years of experience directly managing software engineers or serving in a technical program management role, including coaching, performance management, and building strong team culture.

3-5 years of hands-on software engineering experience (e.g., Go, Python) building developer productivity tools or internal developer platforms, with a strong understanding of the underlying systems, infrastructure, and cloud technologies.

Experience leading teams in a high-velocity, iterative environment, with a bias toward shipping, learning, and continuously raising the engineering quality bar.

Experience leading or working with globally distributed engineering teams across multiple time zones.

AI Skills/Knowledge:

• Experience using AI tools for planning and execution—such as roadmap planning, prioritization, and synthesizing requirements or developer feedback into actionable plans.
• Familiarity with AI-assisted coding tools such as GitHub Copilot or Cursor for tasks like PR review, documentation, and technical writing.
• Comfort using AI to support day-to-day management and program management work, including status updates, meeting synthesis, and cross-team communication.
• Familiarity with large language model APIs and agent-based workflows, with sound judgment for evaluating which AI tools and approaches are worth adopting for the team.

The personal data that you provide as a part of this job application will be handled in accordance with relevant laws. For more information about how Precisely handles the personal data of job applicants, please see the Precisely Candidate Privacy Notice.