Strategic project lead

• Strategic Project Lead – Software Engineering
• Total Number of Positions 10
• Engagement Type Short Term Contract (3 month)
• Start Date Immediate
• Vetting Interest check form Link: ICF
• 1st Step: AI Interview
• 2nd Step :
  
  Delivery Interview

• Proven experience leading complex, multi-stakeholder programs in software
  engineering, technical program management, consulting, finance, startups,
  operations, or a similar environment.
• Strong analytical and problem-solving skills, with the ability to identify
  bottlenecks, define meaningful metrics, and improve production performance.
• Experience managing distributed teams, contributor networks, marketplaces, or
  large-scale technical operations.
• Strong customer-facing communication skills, including the ability to manage
  expectations, communicate risks, and build long-term client relationships.
• Ability to read and review code, understand test suites, and independently
  assess technical work in languages such as Python, Type Script, Java, or Go.

• Availability Commitments
  
  Required:
  
  At least 8 hours per day and minimum 40 hours per week with overlap of 4 hours with PST.
• Note A Linked In profile profile is mandatory for review. Please ensure the resume has the link.

• As a Senior Program Lead, you will own the production systems behind Turing’s software-engineering data programs. You will turn complex research requirements into predictable delivery across quality, throughput, contributor performance, timelines, and cost.
• These programs may include supervised coding demonstrations, repository-level tasks, agentic trajectories, reinforcement-learning environments, benchmarks, code review, and rubric-based evaluations.
• You may coordinate hundreds of distributed software engineers while adapting quickly to evolving research requirements.
• This is an operations leadership role with a strong technical bar. You should be comfortable inspecting code, understanding tests, analyzing quality signals, and challenging workflows or rubrics when they do not produce the intended outcomes. Your primary responsibility will be to build and operate a reliable system that consistently produces high-quality technical work at scale.

• Own end-to-end delivery across scope, timelines, quality, throughput, contributor performance, and cost.
• Design and manage workflows for coding datasets, agentic trajectories, RL environments,
  benchmarks, and rubric-based evaluations.
• Identify operational bottlenecks and improve workflows through better instructions, sequencing, incentives, review systems, and capacity planning.
• Define contributor requirements and partner with talent teams to source, assess, onboard, train, and ramp distributed software engineers.
• Build team-lead and reviewer structures for programs involving 100–1,000+ contributors.
• Own quality-control systems, analyze datasets for trends and systematic errors, and address
  root causes.
• Act as the primary customer contact for AI labs, communicating progress, risks, quality trends,
  and recovery plans.
• Translate research objectives into practical task specifications and push back when
  requirements may not produce the intended signal.
• Use Python, SQL, or similar tools to automate quality sampling, defect analysis, throughput
  reporting, and operational reviews.
• Convert successful workflows into reusable playbooks, quality controls, evaluation assets, and contributor-management systems.
• Share operational learnings and mentor other program leads.

• Proven experience leading complex, multi-stakeholder programs in software engineering,
  technical program management, consulting, finance, startups, operations, or a similar
  environment.
• Strong analytical and problem-solving skills, with the ability to identify bottlenecks, define
  meaningful metrics, and improve production performance.
• Experience managing distributed teams, contributor networks, marketplaces, or large-scale
  technical operations.
• Strong customer-facing communication skills, including the ability to manage expectations,
  communicate risks, and build long-term client relationships.
• Ability to read and review code, understand test suites, and independently assess technical
  work in languages such as Python, Type Script, Java, or Go.

This is a remote position.