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Engineering Manager (Platform -GenAI)
Engineering Manager (Platform -GenAI)Jobgether • US
Engineering Manager (Platform -GenAI)

Engineering Manager (Platform -GenAI)

Jobgether • US
2 days ago
Job type
  • Full-time
  • Remote
  • Quick Apply
Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engineering Manager (Platform - GenAI) in United States .

As an Engineering Manager in the GenAI Platform team, you will lead a high-performing group focused on building scalable AI infrastructure and productivity solutions that accelerate adoption across the organization. You will drive the architecture, development, and delivery of advanced AI systems, including large language models and agentic AI, while mentoring and coaching your team to foster technical excellence. The role involves collaborating with cross-functional stakeholders to define strategic roadmaps, translating vision into actionable plans, and ensuring projects meet objectives on time. You will also be instrumental in shaping AI infrastructure standards, integrating third-party tools, and driving innovation that enhances both customer and team experiences. This is an opportunity to work at the forefront of AI technology in a dynamic, fast-paced environment with a focus on operational excellence and impact.

Accountabilities

  • Lead the design, development, and deployment of scalable, secure, and high-performance AI infrastructure.
  • Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans.
  • Manage project execution, priorities, and deliverables while leveraging technical expertise.
  • Coach team members on design principles, coding standards, and adoption of AI productivity tools.
  • Debug and resolve complex technical issues to improve system reliability, scalability, and ease of operation.
  • Review architecture and feature designs to ensure security, scalability, and integrity.
  • Build pipelines to integrate with third-party vendors and streamline workflows.
  • Recruit, train, and grow a high-performing engineering team focused on AI / ML solutions.

Requirements

  • 10+ years of experience in software engineering.
  • At least 2+ years of experience in engineering management.
  • Proven track record designing, building, scaling, and maintaining production services in a hands-on capacity while leading a team.
  • Experience hiring and developing high-performing teams through sound engineering practices.
  • Strong understanding of high-quality code and software engineering processes, with the ability to foster a culture of excellence.
  • Familiarity with GenAI frameworks and tools, Python, GoLang, Docker, Postgres, and MongoDB.
  • Background in AI / LLM infrastructure.
  • Deep customer obsession and focus on delivering value to stakeholders.
  • Excellent written and verbal communication skills with a bias toward open, transparent cultural practices.

    • Nice to Haves :

  • Experience navigating rapid company growth or scaling engineering teams.

    • Benefits

  • Competitive base salary with bonus and equity eligibility.
  • Remote-first work environment with in-person collaboration events supported.
  • Health, dental, and vision insurance plans.
  • Opportunities for professional development, mentorship, and team growth.
  • Paid time off, holidays, and support for work-life balance.
  • Engagement with cutting-edge AI infrastructure and large-scale platform systems.
  • Inclusion in a collaborative, high-performing, and innovative engineering culture.

    • Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

    When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

    🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

    📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

    🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

    🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

    The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

    Thank you for your interest!

    #LI-CL1

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