Remote Otter LogoRemoteOtter

Director of Engineering - Remote

Posted 11 weeks ago
Software Development
Full Time
USA
$235,000 - $255,000/year

Overview

As Director, Engineering, you will be a key member of the Engineering leadership team at Splice, responsible for elevating the leadership of engineering teams and ensuring the success of product engineering for Splice Sounds.

In Short

  • Lead and grow multiple engineering teams.
  • Collaborate with product leadership to foster a culture of empowered teams.
  • Define clear objectives and lead teams to achieve them.
  • Establish efficient processes for team productivity.
  • Stay current on technologies and industry trends.
  • Provide mentorship to early-career managers and engineers.
  • Shape technical strategy with senior engineers.
  • Champion engineering best practices and code quality.
  • Identify insights and opportunities for business growth.

Requirements

  • Proven expertise in technical leadership.
  • Outstanding communication and organizational skills.
  • Experience with agile methodologies.
  • Experience leading teams for SaaS applications.
  • Proficient in strategy planning and stakeholder management.
  • Expertise in mentoring and coaching engineers.

Benefits

  • Competitive pay with annual reviews and equity opportunities.
  • Unlimited PTO to recharge and thrive.
  • Comprehensive medical, dental, and vision coverage.
  • 401(k) plan with immediate vesting and company match.
  • 12 weeks of fully paid parental leave for non-birthing parents.
  • Work remotely or connect at office hubs worldwide.
  • Annual learning budget and leadership programs.
  • Inclusive events and vibrant Employee Resource Groups.
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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