Senior Engineering Manager
Training Superintelligence· R&D / Engineering
Hybrid (Remote (Brazil or Colombia))full-timePosted 3w ago
About the role
Senior Engineering Manager (Technical Team Lead) at Turing, leading AI initiatives with hands-on technical ownership in a startup-paced environment. Combines data work, stack organization, infrastructure setup, and project delivery while driving technical vision and execution for complex AI projects.
Responsibilities
- Operate directly on data, organize the technical stack, and set up infrastructure as needed.
- Be the technical fallback who can personally deliver a project if no one else is online to do it.
- Guide the team in architecture, design, and implementation of scalable, maintainable codebases.
- Build and use AI agents, and review the team's agent-based work.
- Lead innovation efforts in product features and processes.
- Manage idea and prompt collection and prioritization.
- Drive experimentation and iteration for optimal outcomes.
- Allocate projects based on skills and performance.
- Prioritize tasks to meet business goals.
- Coordinate with cross functional teams for project alignment.
- Monitor progress using metrics like velocity and cycle time.
- Optimize development processes for efficiency.
- Ensure tasks meet quality standards before deployment.
- Perform quality control through task reviews.
- Provide actionable feedback to maintain high standards.
- Identify risks early and adjust processes accordingly.
- Conduct performance analysis through reviews and metrics.
- Provide mentorship, feedback, and talent management.
- Identify high performers for advanced roles and support development for others.
- Lead teams through urgent, high pressure delivery schedules, not just steady state work.
- Push delivery timelines in a rapid iteration startup context while maintaining quality.
- Take direct ownership of outcomes, including being responsive when urgent needs arise.
Qualifications
- Bachelor's or Master's degree in Computer Science, AI, Data Science, Data Engineering, or a related field. Electrical engineering backgrounds are acceptable.
- AI or data science background is a meaningful plus but not a dealbreaker if diligence and ownership are evident elsewhere.
- 7+ years of experience in software development.
- At least 2 years in a leadership role (engineering manager level) with teams larger than 5-6; experience managing meaningfully larger teams preferred for this role.
- Proven track record of leading teams through urgent, complicated technical work, ideally in a startup setting, delivering on time or ahead of time.
- Demonstrated ownership that exceeds role expectations, high personal output, and strong initiative.
- Strong problem solving skills in a fast-paced environment.
- Excellent communication and interpersonal skills for cross-functional collaboration.
Skills
Required:Node.jsReactNestJSInfrastructure as Code (IaC)Google Cloud Platform (GCP)AI agentsPythonJavaScript/TypeScriptData analysisData qualityCommunication
Last updated Oct 7, 2026. Interested? Apply on the company site.
About Training Superintelligence
Turing develops large-scale RL environments and data generation systems that train multimodal agents to improve model performance in coding, real-world, economically valuable tasks, and advanced STEM reasoning.
Train AIBuild AIHire AI TalentAI for BFSIEMNAIDatasetsEnterprise Knowledge WorkMultimodal
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