Speech AI & LLM Delivery Lead

Gnani Innovations Private Limited.; Hinoba-an; On-site; PHP 595,000 - 1,058,000; Full time

Job summary

Gnani.ai is seeking an AI Project Manager to lead Speech AI & LLM engineering delivery in our Bangalore-based team. You will coordinate planning, execution, and releases across ASR, TTS, and LLM workstreams, bridging Speech R&D, Product, and Platform Engineering to meet customer requirements.

You will own sprint planning, backlog health, roadmap tracking, and cross‑functional collaboration, ensuring timely releases and data-driven updates to leadership.

Qualifications

• 5–10 years of experience managing software/AI delivery
• Experience with Agile methodologies (Scrum, Kanban, SAFe)
• Hands‑on backlog prioritization and release planning in fast‑moving environments
• Experience running retrospectives and driving measurable continuous improvement
• Strong planning, organization, and dependency management skills
• Solid documentation and process hygiene
• Strong analytical and problem‑solving abilities with delivery KPIs
• Excellent stakeholder communication across engineering, product, AI research, and leadership

Responsibilities

• AI Project Delivery: Drive delivery across ASR, TTS, speech intelligence, LLM apps, RAG pipelines, agentic workflows, conversational AI
• Agile Execution: Run Scrum/Kanban ceremonies including sprint planning, stand-ups, reviews, retrospectives, and backlog grooming
• Roadmap & Milestone Tracking: Maintain roadmaps, track milestones, and ensure visibility on timelines, risks, blockers, and dependencies
• Backlog Management: Prioritize backlog items based on customer impact, model performance gaps, dependencies, and business priorities
• Release Planning: Coordinate model, API, and product releases including readiness, QA status, evaluation results, and rollout plans
• Model Evaluation Coordination: Track evaluation activities (WER/CER, latency, MOS, accuracy, etc.) and real-world performance feedback
• Customer Feedback Loop: Build a structured feedback layer between users, customer-facing teams, product, and R&D for actionable tasks
• Cross-Team Collaboration: Connect Speech R&D, LLM, Platform Engineering, Product, QA, Data Engineering, MLOps, Delivery, Customer Success
• Risk & Dependency Management: Identify risks across data, model development, prompt engineering, deployment, and timelines; assign owners
• Documentation: Own project docs, meeting notes, decision logs, release notes, evaluation reports
• Metrics & Reporting: Track velocity, cycle time, release progress, model performance, customer issues, and KPI updates to leadership

Skills

Agile methodologies

Sprint planning

Backlog prioritization

Release planning

Roadmap tracking

Documentation

KPIs tracking

Stakeholder communication

Tools

Jira

Confluence

Linear

Azure DevOps

Job description

Gnani.ai is seeking an AI Project Manager to lead Speech AI & LLM engineering delivery in our Bangalore-based team. You will coordinate planning, execution, and releases across ASR, TTS, and LLM workstreams, bridging Speech R&D, Product, and Platform Engineering to meet customer requirements.

You will own sprint planning, backlog health, roadmap tracking, and cross‑functional collaboration, ensuring timely releases and data-driven updates to leadership.