Technical Program Operations Lead - AI Engineering
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 3d ago
The date the source published, not the day we noticed it (2026-09-29). Last seen at its source just now.
We have tracked this listing since 29 Sep 2026 (2 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Vietnam
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $51.9k–157.5k/yr
Middle 50% of 18 listings that do state pay — Engineering · all levels · APAC · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 2d ago · last seen just now
The listing
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are looking for an experienced Technical Program Operations Lead to own the production systems behind large-scale AI and software-engineering data programs. You will turn complex research requirements into predictable delivery across quality, throughput, contributor performance, timelines, and cost.
Programs may include coding datasets, repository-level tasks, agentic trajectories, reinforcement-learning environments, benchmarks, code reviews, and rubric-based evaluations. This is an operations leadership role with a strong technical bar, requiring the ability to inspect code, understand tests, analyze quality signals, and improve workflows at scale.
Key Responsibilities
- Own end-to-end program 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 and analyze datasets to identify trends, systematic errors, and root causes.
- Act as a primary customer contact for AI labs, communicating progress, risks, quality trends, and recovery plans.
- Translate research objectives into practical task specifications and challenge requirements when they may not produce the intended evaluation 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.
Requirements
- 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, including 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 managing expectations, communicating risks, and building long-term client relationships.
- Ability to read and review code, understand test suites, and independently assess technical work.
- Working knowledge of at least one programming language such as Python, TypeScript, Java, or Go.
- Experience using data and operational metrics to monitor quality, throughput, performance, and delivery.
- Ability to operate effectively in environments where research requirements and priorities evolve quickly.