Job Description

Engineering Manager — Internal Platforms & AI-Driven Systems Lead the development of systems that power how entire organizations operate and scale. This role sits at the center of building internal platforms, automation tools, and AI-enabled systems that improve efficiency, streamline workflows, and unlock productivity across a growing technology organization. You will guide teams responsible for creating the software that internal stakeholders rely on daily—from intelligent automation and data pipelines to custom applications and integrations that support functions like sales, marketing, customer operations, product development, and finance. Role Overview As an Engineering Manager, you will oversee multiple engineering teams focused on building internal tools and scalable platforms. You will define technical direction, support team growth, and ensure the delivery of reliable, high-impact systems that directly influence how work gets done across the organization. This role blends technical leadership with people management. You will collaborate closely with cross‑functional partners to transform operational challenges into well‑designed software solutions, while fostering a culture of ownership, innovation, and continuous improvement. Key Responsibilities Technical Leadership & Vision Define and evolve the technical strategy for internal platforms, automation systems, and AI‑driven tools. Guide architectural decisions to ensure scalability, reliability, and long‑term maintainability. Team Leadership & Development Lead and mentor multiple engineering teams, supporting hiring, onboarding, and career development. Create an environment where engineers can grow, collaborate effectively, and deliver high‑quality work. End‑to‑End Ownership Oversee the full lifecycle of internal systems—from design and development through deployment and ongoing optimization. Ensure teams consistently deliver on commitments while managing risks and dependencies. Cross‑Functional Collaboration Partner with product managers, designers, and business stakeholders to identify opportunities for automation and system improvements. Translate operational needs into scalable technical solutions. AI & Automation Enablement Champion the use of modern AI tools and workflows to enhance productivity and innovation. Support teams in adopting AI‑driven approaches to solve complex operational challenges. Platform & Workflow Optimization Continuously improve internal systems, processes, and tools to support organizational growth. Ensure platforms can scale efficiently as usage and complexity increase. Operational Impact Drive measurable improvements in efficiency, speed, and quality across internal workflows, enabling teams to move faster and make better decisions. Engineering Culture Foster a culture centered on technical excellence, collaboration, experimentation, and accountability. Encourage teams to challenge assumptions and continuously refine how work is done. What You Bring Experience 6–8+ years of hands‑on software engineering experience, including building and operating scalable, full‑stack applications in production environments. Leadership 5+ years of experience managing engineering teams, with a track record of delivering complex, cross‑functional initiatives over extended timelines. Technical Expertise Strong understanding of modern web architectures, distributed systems, and scalable platform design. AI & Automation Mindset Hands‑on experience leveraging AI tools and frameworks to improve engineering productivity and build intelligent systems. System Ownership Proven ability to take projects from concept through delivery, including planning, execution, and risk management. Communication & Influence Strong ability to align technical and business stakeholders, clearly communicate priorities, and drive execution across teams. People Leadership Experience hiring, mentoring, and developing engineers while fostering a collaborative and inclusive team environment. What Makes You Stand Out Experience building internal tools, automation systems, or platforms that improve organizational efficiency. Hands‑on experience diagnosing and improving system performance across the full stack. Deep familiarity with AI‑driven development patterns, including APIs, prompt design, automation workflows, and evaluation techniques. Experience working with cloud infrastructure, infrastructure‑as‑code, and containerized environments. A mindset focused on continuous improvement, experimentation, and delivering meaningful outcomes. Technology Environment Typical environments for this role include modern backend and frontend frameworks, cloud‑based infrastructure, distributed messaging systems, and scalable data stores. Engineers in this space commonly work with technologies such as Python, modern JavaScript frameworks, relational and in‑memory databases, event‑driven systems, and container orchestration platforms. Work Environment This position follows a hybrid work model based in a major technology hub, with a combination of in‑office collaboration and remote flexibility. What Success Looks Like Within the first few months, you will build strong relationships with your teams and stakeholders while gaining a deep understanding of existing systems and workflows. Over time, you will refine processes, strengthen technical direction, and drive improvements that enable teams to deliver faster and more effectively. Longer term, you will be recognized as a trusted leader responsible for scalable platforms and systems that have a measurable impact on how the organization operates and grows. This is an opportunity to lead high‑impact engineering teams and shape the systems that power productivity, automation, and innovation across an entire organization. About Andiamo Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go‑to‑market professionals with the world’s largest and most well‑known companies. For over 20 years, we've maintained the status of tier‑one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google‑backed tech start‑ups, and major software firms. Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at #J-18808-Ljbffr

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