Engineering Manager

Job Description :

An Engineering Manager at reimagineering.ai is responsible for making delivery predictable. You will lead small, high-performing engineering teams embedded with clients, shielding engineers from unnecessary noise while ensuring stakeholders have the right visibility. This role requires balancing strong technical judgment with people leadership, maintaining a high quality bar without becoming a bottleneck. It demands equal depth in engineering craft and the ability to lead teams with clarity, structure, and accountability.

Roles and Responsibilities :

- Maintain deep technical involvement to review architecture, challenge assumptions, and mentor engineers

- Establish and enforce engineering standards across code quality, testing, documentation, and AI practices

- Champion observability, reliability, and security as essential delivery requirements

- Own delivery plans across client engagements including scope, milestones, dependencies, and risks

- Ensure sprint structures are effective and commitments are consistently reliable

- Identify and resolve blockers early, escalating clearly when required

- Understand and manage AI-specific delivery challenges such as latency, output variability, and evaluation cycles

- Ensure AI features are scoped realistically with proper validation and fallback strategies

- Stay updated on AI advancements and translate them into practical team and tooling decisions

- Act as the primary engineering point of contact for client stakeholders including product managers and technical leaders

- Communicate engineering complexity in clear business terms including timelines, trade-offs, and confidence levels

- Navigate scope discussions while balancing delivery timelines with engineering quality

- Lead engineers through 1:1s, structured feedback, and growth conversations

- Build a culture of high code quality, intellectual honesty, and continuous improvement

- Protect team focus by minimizing context switching, scope creep, and stakeholder noise

Skills :

- 10+ years of software engineering experience with at least 3+ years managing teams

- Strong hands-on engineering foundation with the ability to contribute to code, design systems, and review code effectively

- Proven experience delivering projects end-to-end with predictability and consistent quality

- Experience working directly with business stakeholders and building trust through delivery reliability

- Familiarity with AI/ML product development and understanding of how AI delivery differs from traditional software

- Ability to give clear, direct, and actionable feedback grounded in observable behavior

- Comfortable operating in consulting environments with multiple clients and high accountability

- Strong judgment on when to push back versus adapt to maintain both delivery and quality

- Excellent communication skills across technical and non-technical audiences

What You Will Lead :

- Engineering delivery for AI-driven enterprise engagements across industries such as financial services, healthcare, and technology

- Development of AI-native products from concept through production

- Modernization of engineering practices and delivery processes within client teams

- Enablement of client engineering teams to operate independently at a higher standard

- High-impact systems where delivery quality, reliability, and execution directly influence business outcomes