Turing - Senior Engineering Manager
Requirements
• The three qualities that matter most for this role: • Ownership and drive. You take on more than your role strictly requires. You are prolific, high-energy, and responsive when the business needs you. You treat delivery deadlines as your own and prioritize the urgent, important work on your schedule. • Ownership and drive. • Technical competence. You are genuinely hands-on. You can code yourself, operate the data, organize the technical stack, and set up infrastructure. You guide the team on architecture, design, and implementation, and you can step in and build when it counts. • Technical competence. • People and organizational leadership. You run tight, well-organized engineering execution: clear technical specs, well-scoped tasks, and consistent on-time (or ahead-of-time) delivery. You have led teams through urgent, high-stakes schedules and delivered. • People and organizational leadership. • Proven track record of leading teams, especially in startup or fast-moving, project-based environments, delivering complex technical work under tight deadlines. This is the primary filter. • Proven track record of leading teams • Hands-on technical strength — expert-level, current engineering ability (e.g., Python and JavaScript ecosystems), with the ability to personally deliver. • Hands-on technical strength • Data fluency — proficiency with data analysis and data quality practices (statistical analysis, data manipulation, and tools such as Pandas, NumPy, and SQL), and the ability to lead data validation, cleansing, and enrichment. • Data fluency • 7+ years in software engineering, with at least 2 years leading a team (typically 5-6+ people). • Bachelor's or Master's in Computer Science, Engineering, or a related field. Backgrounds in AI, data science, or data engineering are strongly preferred; • AI, data science, or data engineering are strongly preferred • AI or fine-tuning / custom-data experience is a plus but not required — diligence, track record, and ownership come first. • Excellent communication and the ability to collaborate across cross-functional teams. • What Success Looks Like • You are the kind of leader who is excited to do this work. You know it will be intense, that you'll manage a lot of people, process, and technology at once, and you welcome it. You have taken on something genuinely hard, led people through it, and can clearly explain what made it difficult and how you delivered — a truly hard technical milestone, reached in a leadership setting, that you're proud of. • Values • Values • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. • We are client first: • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection • We work at Start-Up Speed: • We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. • We are AI forward: • Advantages of joining Turing • Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. • Work at the frontier of AI • Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. • Contribute to leading-edge AI research • Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges. • Bring frontier AI innovation to the enterprise • Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. • Collaborate with and learn from exceptional colleagues • Move at the pace of AI innovation, with the speed, ownership, and impact of a startup. • Move at the pace of AI innovation
Responsibilities
• Hands On Technical Ownership: • 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, since this role requires evaluating agent output directly rather than only reviewing human written code. • Prompt Generation and Innovation: • Lead innovation efforts in product features and processes. • Manage idea and prompt collection and prioritization. • Drive experimentation and iteration for optimal outcomes. • Work Stream Assignment Across Pods: • Allocate projects based on skills and performance. • Prioritize tasks to meet business goals. • Coordinate with cross functional teams for project alignment. • Team Throughput and Task Completion: • 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. • Identifying High and Low Performers: • Conduct performance analysis through reviews and metrics. • Provide mentorship, feedback, and talent management. • Identify high performers for advanced roles and support development for others. • People and Project Leadership Under Pressure: • 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.
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