Apply

Director of Engineering

Posted 2024-08-30

View full description

📍 Location: Europe

🔍 Industry: AI and software development

🏢 Company: Zencoder

🗣️ Languages: English

🪄 Skills: LeadershipSoftware DevelopmentStrategyRelease ManagementCommunication SkillsCollaborationProblem Solving

Requirements:
  • Strong technical background with extensive experience as a software engineer building complex solutions and a deep understanding of modern engineering practices.
  • Demonstrated experience in recruiting, building, scaling, structuring, and leading technical engineering teams in a startup and scaleup environment.
  • Proven track record of delivering complex 'deep tech' products with a high degree of ambiguity and tight deadlines.
  • Experience delivering solutions that had millions of users.
  • Experience running 100+ engineer organizations.
  • Experience growing teams by dozens of engineers a year.
  • Excellent English communication skills, with the ability to collaborate effectively with diverse international teams and stakeholders.
  • Ability to move fast in a dynamic environment with strong ownership.
  • Firm grasp of GenAI technologies and real-world experience integrating AI technologies into innovative products.
Responsibilities:
  • Scale up engineering teams rapidly, ensuring effective leadership and growth.
  • Define and execute the engineering strategy in alignment with the product roadmap, ensuring coherent decision-making across teams.
  • Champion delivery focus and general operational and execution excellence.
  • Lead the adoption of best practices in system design, release management, reliability, and scalability.
  • Cultivate strong relationships with key customers, understand their needs and pain points, and take ownership of problems when they arise.
  • Design and implement processes and the management structure that enable the team to scale efficiently while maintaining startup agility.
  • Lead the recruitment, onboarding, and development of a top-notch engineering team.
  • Foster a strong culture in engineering through knowledge-sharing practices, hackathons, and technical workshops.
Apply

Related Jobs

Apply

📍 US, Germany, UK

🧭 Full-Time

🔍 Music streaming

🏢 Company: SoundCloud

  • Experience managing engineers and machine learning scientists.
  • Strong background in engineering and data science, specifically with recommendation engines and machine learning systems.
  • Experience building data-driven products and implementing machine learning solutions at scale.
  • Experience maintaining large cloud systems and balancing product and engineering priorities.
  • Extensive knowledge of agile methodologies.
  • Proven problem-solving and technical innovation skills.
  • Strong recruiting and communication skills, culturally informed.

  • Work closely with Product Managers, UX Researchers, and Designers to enhance music discovery.
  • Inspire technical and non-technical stakeholders with the Discovery vision.
  • Drive objectives and key results, execute OKRs to align engineering efforts with business outcomes.
  • Lead, support, and mentor engineers and scientists.
  • Recruit and retain top talent for the teams.
  • Act as a liaison for technical representation across teams.
  • Stay informed about industry trends to identify applicable opportunities.

PythonAgileMachine LearningPyTorchTypeScriptStrategyData scienceReactTensorflowCommunication SkillsAgile methodologies

Posted 2024-11-07
Apply
Apply

📍 Poland

🧭 Full-Time

🔍 Enterprise security products

🏢 Company: Intuition Machines, Inc.

  • A minimum of 5 years of hands-on experience leading engineering teams of 20-60 people.
  • Familiarity with high availability and high-security development processes.
  • Strong knowledge of Python, NodeJS, and ideally C/C++, Go, or Rust.
  • Experience with DevOps/systems integration and test-driven design in large scale systems.
  • Familiarity with distributed systems design on orchestration platforms like Kubernetes.
  • Strong interpersonal skills for effective communication with technical and non-technical audiences.
  • Expertise in architecture and business/product need mapping.

  • Lead the recruitment, motivation, and management of technical teams focused on security and machine learning.
  • Act as a liaison between product, engineering, customers, and sales for translating business requirements.
  • Maintain standards of software quality and high availability.
  • Drive automation and instrumentation for observability and break-fix.
  • Model go-to-market strategies and oversee architecture with sales and product teams.
  • Implement effective hiring and onboarding strategies.

PythonKubernetesMachine LearningC++GoRustDevOps

Posted 2024-09-20
Apply