Engineering Manager leading teams building advanced data and AI tools at Toptal, a global talent network. Driving technical excellence, AI-assisted development, and major product delivery.
Responsibilities
Lead a high-velocity Engineering team developing advanced data and AI tools
Work with Engineers, Designers, Product Managers, Architects, and the Executive team to deliver high-quality products
Set goals for the team and individual team members
Understand and communicate the team’s mission and objectives
Motivate the team and create a productive, enjoyable work environment
Communicate proactively with stakeholders and the Product Manager’s team
Establish feedback loops and provide immediate feedback
Participate in performance reviews
Facilitate technical discussions and frequent code reviews to maintain code quality
Resolve technical and interpersonal discussions when necessary
Ensure the team’s overall output quality
Mentor team members and support personal and career growth
Escalate systemic challenges and blockers to the manager
Lead the team’s recruiting and hiring process
Track progress, assess risks, coordinate delivery, and communicate mitigation plans
Apply system-analysis techniques and consult users to determine functional specifications
Complete onboarding and push code to production during the first month
Lead the team from planning through delivery
Conduct regular 1:1 meetings with teammates
Build understanding of the team’s mission, constraints, and capabilities
Develop cross-functional relationships and contribute engineering-wide improvements
Lead delivery of at least one major product-wide feature within the first year
Define yearly goals and objectives for the team
Requirements
7+ years of experience working with back-end, front-end technologies, and databases
Solid grasp of object-oriented programming, PostgreSQL/Supabase databases, clean code, development, and automated testing methodologies
2+ years of previous experience leading an Engineering team
Track record of delivering successful products as an engineer and engineering manager
Experience managing small teams with high autonomy and low process overhead
Ability to balance implementation time against performance, failure tolerance, security, and long-term maintenance
Ability to evaluate technical architecture trade-offs in real time during design discussions
Strong code review skills and ability to explain code-quality decisions
Active, demonstrated experience as an AI-first engineer
Experience using AI development tools such as Copilot, Claude Code, and Cursor
Genuine curiosity about LLMs and AI-assisted engineering
Strong communication skills, including clear writing, direct feedback, and effective facilitation
World-class individual contributor capabilities
Experience with data labeling, video/audio media processing, or PDF manipulation is a plus
Familiarity with LangGraph or LangChain is a plus
Familiarity with Redis, Kafka, and caching and queueing technologies is a plus
Familiarity with NextJS, React, JavaScript, TypeScript, and GraphQL is a plus
Experience designing and building AI Agents, MCP servers, and data classification components for training LLMs is a plus
Experience with cloud-native infrastructure on GCP or AWS is a plus
No visa sponsorship or assistance is offered
Resumes and communication must be submitted in English
Benefits
Fully remote workforce
Support structure encouraging innovation, social interaction, and fun
Opportunity to work on a newly launched business unit and shape a new AI platform
Direct impact on company revenue
Onboarding and access to documentation and repositories
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