Engineering Manager, Excel Agents

Why DataSnipper?

What You Will Do

• Lead an engineering team through outcomes, not tasks; set clear goals with the team and trust them to figure out how.
• Make the team measurably better; raise the engineering bar, grow engineers into bigger problems, and address performance issues directly when they arise.
• Drive a step change in what the team can do with AI; not just shipping faster, but tackling harder problems, raising quality, and expanding what the team can credibly own.
• Lead the team responsible for building AI-powered agents that automate assurance workflows, from risk assessment and evidence gathering to control testing and documentation generation.
• Own the technical direction and architecture of the Excel Agent platform, ensuring agents are reliable, observable, secure, and effective in real customer workflows.
• Guide the team in designing and scaling agentic systems that combine LLMs, document intelligence, business workflows, and human oversight.
• Partner closely with Product, Design, and other Engineering teams to shape the roadmap and translate customer needs into impactful AI experiences.
• Make the architectural and technical calls that shape the team's systems, and stay close enough to the code to do so credibly.
• Lead the adoption of AI-assisted engineering practices and contribute to how DataSnipper leverages AI across the broader engineering organization.
• Help shape the team's scope as it evolves, including expanding ownership areas and standing up new teams when needed.
• Foster a culture of experimentation, learning, documentation, and operational excellence.

What You Bring

• At least 3 years of leading and managing engineering teams, driving performance, growth, and professional development through hands-on mentorship, feedback, and goal setting.
• Minimum 5 years as a software engineer with a passion for building scalable, reliable, and high-quality software systems.
• Track record of leading engineering teams that build with AI day to day, and making those teams measurably more effective as a result.
• Experience building AI-powered products or platforms, ideally involving LLMs, agentic workflows, document processing, or automation systems.
• An empowerment style of management; you lead through outcomes and trust, not by assigning tasks.
• Strong product aptitude; can challenge product framing, translate customer needs into technical solutions, and make effective roadmap tradeoffs.
• Strong understanding of software architecture, distributed systems, APIs, and cloud native development.
• Experience operating systems in production with a focus on reliability, observability, and maintainability.
• A track record of growing engineers and creating high-performing teams.
• Strategic thinker; able to shape product direction, technical direction, and team scope, not just execute on what's handed down.
• Entrepreneurial mindset with the ability to thrive in a fast-moving scale-up environment.

Preferred Qualifications

What We Offer