Engineering Manager, Growth & AI – Remote

remote work

United States

Remote

USD 150,000 - 200,000

Full time

5 days ago
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Job summary

Buffer is a fully distributed company building social media tools for small businesses, creators, and individuals. You will lead engineering for Growth across product and marketing surfaces, guiding priorities with cross-functional partners and shaping technical direction.

You will coach engineers, review architectures, and help connect customer insights to measurable product impact. The role emphasizes AI exploration and scalable engineering practices across time zones.

Qualifications

  • Proven experience leading engineers and growing teams.
  • Strong engineering fundamentals with ability to discuss system trade-offs.
  • Ability to review architectures and prototype when needed.
  • Interest in applying AI to engineering workflows and making judgment calls.
  • Clear written communication across time zones and disciplines.
  • Understanding how product decisions affect business growth from discovery to retention.

Responsibilities

  • Coach engineers with regular feedback and career conversations.
  • Shape priorities with Product, Design, and Marketing based on customer data.
  • Guide build-versus-learn choices while staying close to technical decisions.
  • Connect customer insights, product changes, and measurement to impact.
  • Explore and guide AI use within engineering and product contexts.
  • Contribute to engineering practices through hiring and process improvements.

Skills

Leadership experience
Engineering background
Code review
AI interest
Cross-timezone collaboration
Business growth understanding

Job description

Buffer is a fully distributed company building social media tools for small businesses, creators, and individuals. You will lead engineering for Growth across product and marketing surfaces, guiding priorities with cross-functional partners and shaping technical direction.

You will coach engineers, review architectures, and help connect customer insights to measurable product impact. The role emphasizes AI exploration and scalable engineering practices across time zones.

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