Technical Project Manager
This hands-on technical project manager improves deployment pipelines, internal tools, and operational workflows through data analysis, automation, AI-agent evaluation, and cross-functional coordination. The role requires 3–6 years of engineering or solutions experience, strong SQL or Python skills, and familiarity with prompt engineering and RAG.
About the job
Responsibilities
- Improve deployment pipelines and internal tools by analyzing logs, identifying recurring issues, and reducing manual work.
- Work with engineers and domain leads to improve how teams build and operate systems.
- Help build and maintain the Unified Maturity Table, defining technical parameters, workflows, support packages, metrics, and KPIs for domain readiness and maturity.
- Refine internal AI agents by measuring answer performance against human expert interventions.
- Apply AI-based cluster analysis to support ticket descriptions to identify recurring patterns and design automated workflows for streamlined resolution.
- Facilitate design meetings, manage cross-domain syncs, and maintain actionable documentation and support packages.
- Define thresholds by analyzing support ticket complexity, resolution times, and domain-specific friction.
- Transition static maturity reports into live, dynamic dashboards with trend lines.
- Establish cross-functional standards for domain maturity and system health alerts.
Requirements
- 3–6 years of hands-on experience as a Software Engineer, Data Engineer, SRE, or Solutions Engineer.
- Proficiency in querying and analyzing large datasets using SQL, Python, or similar tools to diagnose system bottlenecks and deployment failures.
- Proven ability to convert manual, friction-heavy processes into automated, scalable engineering solutions.
- Experience with prompt engineering, retrieval-augmented generation (RAG) concepts, and auditing AI model outputs for accuracy and reliability.
- Ability to translate complex technical friction into a prioritized roadmap for stakeholders and senior leadership and lead projects through completion.
Skills
SQL, Python, Software Engineering, Data Engineering, Site Reliability Engineering, Solutions Engineering, Prompt Engineering, RAG, AI Agents, Cluster Analysis, Automation, Dynamic Dashboards, Deployment Pipelines, Log Analysis, Kpi Design
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