Manager for Software - Data Governance SaaS Platform

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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. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. 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. Learn more about why it's an exciting time to join Precisely!

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 seeking an experienced Manager for Software to join our Engineering organization, reporting to the Director of Engineering. You will own the technical direction of a high-performing squad working on our Data Governance SaaS platform, translating product vision into robust, scalable engineering outcomes.  This is a hands-on leadership role — you will write and review code, mentor engineers, drive architectural decisions, and act as the technical bridge between your team and wider engineering leadership.

What you will do:

Technical Leadership

• Own the technical design and architecture of squad deliverables; produce clear specs and design documents.
• Lead code reviews and set the bar for engineering quality, testing, and maintainability.
• Identify and drive reduction of technical debt; champion platform performance and reliability improvements.
• Partner with the engineering leaders across the platform and Product teams to break down roadmap initiatives into well-scoped engineering work.

Team & Delivery

• Lead and mentor a team of engineers across the full development lifecycle.
• Run effective sprint ceremonies; maintain predictable, high-quality delivery cadences.
• Proactively identify risks, dependencies, and blockers; communicate transparently with stakeholders.
• Contribute to growing the team — participate in interviews, onboarding, and capability development.

Collaboration & Stakeholder Engagement

• Work closely with Product, UX, SRE, and Support teams to deliver customer-centric outcomes.
• Contribute to cross-team technical initiatives and engineering-wide standards.

What we are looking for:

Required:

• 10+ years of software engineering experience, with at least 2 years in a technical lead or senior engineering role.
• Strong backend engineering skills — Node js/C#/.NET, Java, or equivalent; comfortable with SQL and cloud-native patterns.
• Hands-on experience with AWS  or any cloud services and modern SaaS platform architecture.
• Proven ability to lead engineers: you coach, unblock, and grow people as well as write great code.
• Experience driving agile delivery with quality first mindset — sprint planning, retrospectives, continuous improvement.
• Strong communication skills; able to engage confidently with Product, Support, and leadership.
• Familiarity with data platforms, data governance, or data quality domains is a significant advantage.
• Nice to Have
  • Experience with platform migrations or large-scale refactoring in production SaaS environments.
  • Exposure to observability tooling, incident reduction practices, and SRE collaboration.
  • Experience working with geographically distributed engineering teams.

AI Skills/Knowledge:

• Proficiency with AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Amazon CodeWhisperer) to accelerate development velocity.
• Experience using AI-powered code review agents to improve code quality and reduce review cycles.
• Ability to critically evaluate and validate AI-generated code for correctness, security, and maintainability.
• Familiarity with LLM APIs or agentic workflows.
• Comfortable incorporating generative AI tools into daily engineering workflows (debugging, documentation, test generation).

Preferred Skills: 

• Experience on git hub spec driven development.
• Understands concept of constitutions and skills and agents MD. 
• Hands-on experience building or architecting agentic workflows and multi-step AI pipelines.
• Experience with prompt engineering and fine-tuning strategies for developer productivity use cases.
• Familiarity with AI observability and evaluation frameworks (e.g., LangSmith, Weights & Biases).
• Exposure to Retrieval-Augmented Generation (RAG) patterns and vector database integrations.
• Experience leading or mentoring teams in adopting AI tooling and best practices.
• Knowledge of responsible AI principles — bias detection, model safety, and governance at the enterprise level.

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