Engineering Manager

Metis Strategy; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Medical, dental & vision insurance

Parental leave

Retirement contributions

Learning stipend

Paid time off

Job summary

Metis Strategy is seeking an Engineering Manager to lead engineers delivering client data and AI systems. You’ll be a hands-on tech leader, manage delivery across architecture, design, coding, testing, and production hand-off while keeping scope, quality, and schedule in check.

You will hire, coach, and grow engineers, set technical standards, and partner with client leaders as a peer to translate business needs into clear technical plans.

Qualifications

• 7–10+ years of software or data engineering experience, including at least 2–3 years directly managing engineers.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
• A proven track record of hiring, developing, and managing engineering teams through complex, fast-paced projects with tight timelines and multiple stakeholders
• Located within the Pacific time zone; remote work with occasional travel to client offices; quarterly in-person offsites to maintain our collaborative culture

Responsibilities

• Lead one or more engineering teams through client engagements turning data and AI strategy into working systems.
• Manage full delivery lifecycle from architecture decisions through implementation, testing, and production hand-off.
• Hire, coach, and grow engineers; set technical standards and mentorship.
• Partner with client leaders to translate business requirements into a clear technical plan and communicate tradeoffs and risks

Skills

Engineering leadership

People management

Data platforms

MLOps

Python

Spark

SQL

CI/CD tooling

Infrastructure as Code

Education

Bachelor's or Master's in CS/Engineering or equivalent

Tools

CI/CD tooling

Infrastructure as Code

Job description

About This Position

As a senior member of our team, the Engineering Manager leads the engineers who build and deliver our clients’ data and AI systems. You’re a hands‑on technical leader, a people manager, and a key contributor to how Metis builds its engineering practice.

In this role, you will lead one or more engineering teams through client engagements, turning data and AI strategy into working systems: data platforms, pipelines, AI/ML applications, and the infrastructure that supports them. You’ll manage the full delivery lifecycle, from technical design and architecture decisions through implementation, code review, testing, and production hand‑off, while keeping delivery on scope, on quality, and on schedule.

You will hire, coach, and grow engineers, setting technical standards and building the feedback loops, career paths, and mentorship that help a small but growing engineering bench develop. You’ll partner directly with client engineering and technology leaders as a peer, translating ambiguous business requirements into a clear technical plan, and communicating tradeoffs, risks, and progress to both technical and executive stakeholders.

You will make and stand behind architecture and technology choices for data platforms and AI/ML systems, including cloud‑native data lakes and warehouses, pipeline orchestration, and MLOps tooling, balancing what’s technically right against what a client’s team can realistically operate after we leave. You’ll build and enforce engineering practices — code quality, testing, CI/CD, observability, and documentation — so what we deliver stays maintainable long after the engagement ends. And you’ll contribute to Metis’s own engineering capability: reusable accelerators, internal tooling, technical playbooks, and the frameworks that let the firm deliver technology work repeatably and at higher quality.

In addition to core engineering leadership, Metis Strategy offers Engineering Managers a chance to help grow the technical footprint of a thriving consulting firm. For example, you might:

• Firm building: Bring entrepreneurial thinking to how a growing technology consulting firm builds and scales its engineering practice
• Frameworks & IP: Help develop reusable architecture patterns, playbooks, and internal engineering tooling
• Publishing: Turn engagement‑based technical work into publishable technical write‑ups and case studies
• Internal platforms: Take ownership of internal engineering tools and platform capabilities that other consultants and clients rely on

Basic Qualifications

• Experience: 7–10+ years of relevant software or data engineering experience, including at least 2–3 years directly managing engineers; consulting, professional services, or other client‑facing technical delivery experience is a plus
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
• People Management: A proven track record of hiring, developing, and managing engineering teams through complex, fast‑paced projects with tight timelines and multiple stakeholders
• Location: Located within the Pacific time zone. Day‑to‑day, we work fully remotely, but some clients require travel to their offices. We host quarterly in‑person offsites to maintain our collaborative culture

What We Look for

• Leadership: A balance of technical depth, confidence, humility, and empathy, with the ability to coach engineers and earn trust with senior client stakeholders
• Relevant Experience: Concrete examples of having built and shipped production data or AI systems, not just designed them, and of leading the engineers who built them
• Problem Solving: A pragmatic, hands‑on approach to unblocking teams and making architecture tradeoffs under real constraints of time, budget, and existing systems
• Communication Skills: Ability to translate technical detail for executives and translate business goals into a clear technical plan for engineers
• Client Interactions: Comfortable being the technical voice in front of both client engineering leaders and C‑level stakeholders
• Relationship Orientation: Willingness to build trust with client teams whose systems you’re inheriting or handing back
• Motivation: Entrepreneurial, outcome‑oriented, and comfortable with the ambiguity of consulting engagements
• Curiosity: Genuine interest in modern data and AI engineering practices and how they apply across industries
• Technology: Hands‑on experience with modern data platforms and architectures (cloud‑native data lakes, warehouses, streaming and batch pipelines); experience with MLOps or AI deployment patterns; working knowledge of data governance, data quality, and the security and compliance considerations for enterprise data and AI systems; fluency in at least one modern data or programming stack (for example Python, Spark, SQL, or a major cloud data platform); experience with CI/CD, infrastructure as code, and modern engineering practices
• Work Status: Eligibility to work in the U.S. without sponsorship is preferred

What Metis Strategy Has to Offer

Successful candidates will be motivated by the desire to make a difference by helping our clients achieve and maintain strategic and operational excellence while continuously improving their own skill set and embracing emerging intellectual challenges.

This position is also eligible for bonus compensation. Additional benefits include but are not limited to:

• comprehensive medical insurance, dental insurance, and vision insurance;
• parental leave, and family benefits;
• retirement contributions;
• stipend for continued learning;
• paid time off, and more.

Compensation and benefits are competitive and will be commensurate with each candidate’s qualifications and relevant work experience.

If you are driven by the desire to help some of the world’s most renowned companies solve complex business problems and excited by the intersection of business strategy and technological innovation, you will enjoy being a part of our team.