AI Project Manager - Scale & Repeat at PSTAG | Torre

AI Project Manager - Scale & Repeat

Emma highlights
This highlight was written by Emma’s AI. Ask Emma to edit it.
Full-time

Legal agreement: Employment

Provide your expected compensation while applying (or, if you'd like more context, simply ASK).
location_on
Remote (for Singapore residents)
Remote (for Philippines residents)
Remote (for Vietnam residents)
Remote (for Malaysia residents)
Posted 6 days ago

Responsibilities


Role Summary: - PST.AG is looking for an AI Project Manager to take the 'lighthouse' AI products and turn them into repeatable, templated projects that run across multiple countries. - This is a delivery and continuous-improvement role where you take something that works once and make it work every time, faster and better with each iteration. - You will pick up a completed lighthouse, template the specification, pipeline configuration, evaluation criteria and release gates, then run that template against the remaining countries. - Each run must be faster, cheaper and higher quality than the last. - You own the metrics that prove improvement and the playbook that encodes each lesson. - When a new iteration finds a legitimate difference, you will manage the master requirements to ensure that all past and future projects conform to a standard. - You report to the AI Program Manager, working alongside the AI PM who builds the lighthouse. - You coordinate AI engineers, AI developers, IT operations and country-domain experts. - You need enough AI literacy to understand the design, reproduce it faithfully, identify where it needs adaptation, and spot quality regressions. - Your primary expertise is in repeatable delivery, process design, templating and continuous improvement. What You Will Do: - Take completed lighthouse AI projects and build a repeatable delivery template, including pipeline configuration, evaluation datasets, prompt templates, release checklists, data source mappings and country-specific adaptation notes. - Find opportunities for automation, AI agents and templates to make the project as repeatable and fast as possible. - Run the template against multiple countries in sequence, adapting for language, data source variability and regulatory differences while keeping the core architecture unchanged. - Maintain a living playbook capturing lessons from each replication, such as what needed adapting, what broke, data quality observations and evaluation edge cases. - Link the playbook directly to master requirements as the source of truth. - Manage the country rollout pipeline by prioritizing by data readiness, business value and dependencies. - Run formal change control per country. - Coordinate AI engineers, AI developers, IT operations and country-domain experts across concurrent country replications. - Identify when a country's data or regulatory conditions require a template change and escalate those to the AI Program Manager. - Ensure evaluation and quality gates are run consistently across every country, with comparable results recorded. - Drive continuous improvement by measuring, publishing and improving cycle time, accuracy, cost and coverage per iteration. Required Experience and Competencies: - Bachelor's degree in Business Administration, Management, Industrial Engineering, Information Systems, Operations Management, Project Management or a related field, or equivalent practical experience. - Project management and repeatable delivery (mandatory). - 5+ years of project management experience with demonstrable experience running multiple similar projects in sequence where each iteration improved on the last. - Experienced with delivery tooling like Jira, Linear, or Confluence and PM tooling such as MS Project or Gantt. - Track record of creating delivery templates, playbooks or standardized processes that reduced cycle time, cost or error rate across repeated runs. - Skilled in plan-vs-actual tracking, cycle time measurement, process documentation and formal change control. - PMP, PRINCE2 or equivalent certification advantageous. - Familiarity with the PMI Standard for AI in Portfolio, Program, and Project Management (2026) is a plus. - Familiarity with AI concepts including LLMs, RAG, agents and evaluation. AI Literacy: - Understand what an agentic AI system does, how it uses tools and retrieval and its quality characteristics. - Read and interpret evaluation metrics and use them to drive improvement. - Exposure to MCP (Model Context Protocol) or similar agent-to-tool gateways. Process and Continuous Improvement Mindset: - Systematic approach to documenting what works, what does not, and how the next run should differ. - Comfort with measurement and evidence-based decision-making. - Structured documentation that would satisfy an audit or regulatory review. - Everything is driven by requirements. Personal Competencies: - Process orientation: you see every project as an instance of a process to be improved, not a one-off. - Accountability: you hold teams to country delivery timelines. - Precision: you write requirements, checklists and runbooks that leave no ambiguity. - Patience with repetition: you take satisfaction in making the tenth run faster than the first. Nice to Have: - Experience with international, multi-language or multi-jurisdiction delivery.
Closes in:
0
days
0
hours
0
min
0
sec
tune NOT FOR YOU? IMPROVE YOUR RESULTS