Delivery Manager (Coding Projects)

Posted 8 months agoInactiveViewed
United StatesFull-TimeAI
Company:Turing
Location:United States
Languages:English
Seniority level:Lead, 4+ years
Experience:4+ years
Skills:
LeadershipProject ManagementPythonSQLArtificial IntelligenceData AnalysisExcel VBAGitJavascriptMachine LearningQAAlgorithmsData StructuresCommunication SkillsAnalytical SkillsCI/CDRESTful APIsLinuxResearchClient relationship managementStrong communication skillsData visualizationStakeholder managementComputer skills
Requirements:
4+ years of experience as a Researcher or similar role within a technical or data-driven environment at a large company PhD or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field​ Experience working closely with LLM researchers and familiarity with how they think, communicate, structure projects, and measure success Demonstrated success in translating ambiguous or high-level research directions into actionable plans for engineering and delivery teams. Proven ability to translate research ambiguity into clear tactical execution plans Strong background leading technical delivery efforts and code-heavy teams Effective communicator, both in async and live settings, across technical and non-technical audiences. Working knowledge of Python and/or JavaScript to effectively engage with Engineering Managers and assess code-level output quality. Exceptional communication and documentation skills - comfortable leading async and live updates across technical and non-technical audiences. Strong decision-making, prioritization, and conflict-resolution abilities in dynamic, high-stakes environments.
Responsibilities:
Act as the strategic point of contact for clients - gathering requirements, aligning on quality expectations, and managing quality feedback loops. Proactively flag risks and drive resolution to ensure uninterrupted, high-quality delivery. Work closely with LLM researchers to deeply understand their thinking styles and objectives. Translate ambiguous or loosely defined research goals into clear, executable tasks for technical teams. Ensure clarity, accuracy, and completeness in outputs: code, responses, explanations, and evaluations. Work closely with team leads and Client Researchers to implement quality review loops and resolve systemic quality gaps. Identify inefficiencies and continuously optimize workflows and operational structure. Ensure all output meets the highest standards expected by AI researchers and clients. Ensure technical soundness, review compliance, and strategic alignment across delivery streams.
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