Manager, Software Development

Role Description

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.

Qualifications

• 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.

Requirements

• 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 GitHub 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.