Senior Manager, Engineering

APIs.

• Conduct design and code reviews to ensure high standards of quality and maintainability.

Product Delivery:

• Collaborate with Product Managers, UX designers, and other stakeholders to define product roadmaps and technical requirements.

• Oversee sprint planning, resource allocation, and project execution to meet deadlines and deliverables.

Operational Excellence:

• Implement best practices in DevOps, CI/CD, and cloud infrastructure management to ensure high system availability and performance.

• Monitor and optimize application performance, scalability, and security.

**Stakeholder Engagement:
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• Act as a liaison between the engineering team and business stakeholders, translating business needs into technical solutions.

• Communicate project progress, risks, and outcomes to leadership and stakeholders.

You've Got What It Takes If You Have...

**Technical Expertise:
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• Strong hands-on experience with Ruby on Rails, React, and AWS services (e.g., EC2, S3, RDS, Lambda).

• Proficiency in designing and implementing RESTful APIs and microservices architecture.

**Leadership Experience:
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• Proven track record of leading and managing engineering teams in a product company environment.

• Ability to inspire and motivate team members to achieve their highest potential.

**Product Mindset:
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• Deep understanding of the product lifecycle, from ideation to deployment and iteration.

• Experience collaborating with cross-functional teams to deliver customer-centric solutions.

**Operational Skills:
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• Strong background in Agile methodologies, sprint planning, and resource management.

• Knowledge of DevOps practices, including CI/CD pipelines and cloud infrastructure automation.

**GenAI Experience:
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• Exposure to Generative AI tools and technologies, such as OpenAI, Anthropic Claude, Google Gemini, Mistral, Meta Llama, and Hugging Face Transformers.

• Experience using GenAI-powered tools (e.g., GitHub Copilot, Tabnine, Codeium, Amazon CodeWhisperer) to improve developer productivity.

• Successfully leveraged GenAI for code generation, automated testing, bug fixes, and software documentation.

• Integrated AI-based assistants into daily workflows to enhance efficiency in task management, knowledge retrieval, and decision-making.

• Implemented GenAI-powered chatbots, virtual assistants, and recommendation engines to optimize internal processes and customer experiences.

• Advocated for the responsible use of GenAI to ensure secure, ethical, and compliant AI-driven solutions**.
  **

Communication:

• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical audiences.

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