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Senior Engineering Manager - Remote

Posted 1 week ago
Software Development
Full Time
USA
$180,000 - $250,000/year

Overview

As a Senior Engineering Manager at Splice, you will play a critical role in leading a distributed engineering team, enhancing core services, and contributing to a high-availability experience for users.

In Short

  • Lead and grow the engineering team responsible for core platform services.
  • Foster a culture of collaboration and ownership among teams.
  • Define clear outcomes and guide the team to achieve them.
  • Establish efficient processes for team productivity.
  • Stay updated on technologies and industry trends.
  • Mentor early-career managers and engineers.
  • Shape technical strategy with senior engineers.
  • Champion high availability services and code quality.
  • Identify opportunities to elevate business performance.

Requirements

  • Expertise in technical leadership within distributed teams.
  • Strong communication and organizational skills.
  • Experience with agile methodologies, especially Kanban and Lean.
  • Technical skills in API design, Go, Java/TypeScript, GraphQL, OAuth.
  • Experience with SaaS application development.
  • Proficient in strategy planning and stakeholder management.
  • Expertise in mentoring engineers for growth.

Benefits

  • Flexible remote work culture.
  • Supportive and collaborative team environment.
  • Opportunities for professional growth and development.
  • Regular communication and team-building activities.
  • Access to a network of peers and collaborators.
Splice logo

Splice

Splice is a forward-thinking company at the intersection of artificial intelligence and audio technology. The organization focuses on leveraging AI to enhance audio data processing, particularly in the realm of generative audio and music applications. With a commitment to innovation, Splice fosters a collaborative environment where engineers and researchers work together to design and deploy scalable machine learning models that integrate seamlessly into their products. The company values expertise in machine learning and offers opportunities for professionals to contribute to cutting-edge advancements in the field.

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