AI Engineering Manager
- Accepting Applications Closed
- US Company | Medium (51-250 employees)
- LATAM (100% remote)
- 8+ years
- Long-term (40h)
- Pet Health
- Full Remote
Required skills
- .NET Framework
- React.js
- AWS
- AI Technologies
- Mobile development
- Python
- Angular
- Machine Learning
Requirements
Must-haves
- 8+ years of software engineering experience
- 3+ years leading teams of full-time employees and contractors, both small and large
- Experience with .NET
- Experience with React
- Experience with AWS Cloud Services
- Proven experience collaborating across Product Development, QA, UX/UI, and Software Engineering teams
- Proven ability to build teams, manage performance, set KPIs, and ensure accountability
- Deep understanding of decision-making under pressure and maintaining a forward-looking vision
- Demonstrated success in fostering innovation and integrating AI solutions to address business challenges
- Strong communication skills in both spoken and written English
Nice-to-haves
- Startup experience
- Experience with AI technologies, including Machine Learning tools, with a strong understanding of the importance of accurate translation and AI processing output
- Familiarity with OpenAI Whisper
- Familiarity with Anthropic’s Claude Sonnet
- Familiarity with Python or Angular
- Proficiency in mobile app development
- Bachelor's Degree in Computer Engineering, Computer Science, or equivalent
What you will work on
- Lead and manage a fully remote, global team of developers, including full-time employees, contractors, and outsourced resources
- Role focus breakdown: Leadership: 35%; Hands-on with AWS and .NET: 30%; React: 10% and AI: 25%
- Define and communicate technical vision while fostering a culture of innovation, curiosity, and excellence
- Collaborate with product owners to align technical initiatives with customer needs, market demands, and business objectives
- Drive design and architecture discussions, manage dependencies, and ensure timely delivery of AI-powered solutions
- Partner with external vendors, internal stakeholders, and cross-functional teams to align on priorities, estimates, and deliverables
- Establish high-performance benchmarks, maintain code quality, and implement best practices for engineering operations and product delivery
- Build, mentor, and develop high-performing teams, promoting continuous learning and professional growth
- Guide teams through complex technical challenges while maintaining a strategic perspective, being hands-on where needed
- Ensure engineering efforts deliver exceptional customer experiences and drive product adoption
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