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Project Manager

Gnani Innovations
Remote

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Job details

Full-time

Qualifications

Jira
CI/CD
SAFe
Azure
PMP
Multilingual
Kanban
DevOps
PMI-ACP
Analysis skills
Project management
Continuous improvement
Confluence
Continuous integration
APIs
Certified Scrum Master
Agile
AI
Time management

Full job description

Remote

6 - 8 years experience

Responsibilities

Project Manager – Engineering

Agile Delivery | Engineering Program Management | Cross-Functional Execution

Location

Bangalore (Work from Office – 5 days)

Experience

5 to 10 years

Type

Full-Time

Reports To

Director of Engineering / VP Engineering

ABOUT GNANI.AI

India's leading enterprise Voice AI company. 30M+ voice AI calls/day across 40+ languages. Deployed in BFSI, telecom, government, and enterprise. Backed by Samsung Ventures & Info Edge Ventures. Selected under the IndiaAI Mission to build foundational AI models for India.

THE ROLE

We are hiring a Project Manager to drive planning and delivery for our Engineering organization as we scale our enterprise Voice AI platform. You will own the end-to-end delivery lifecycle — sprint planning, backlog health, release cadence, and cross-team coordination — working closely with engineering, product, and AI teams. You bring structure to fast-moving, ambiguous environments, keep teams focused on outcomes, and use data to drive continuous improvement.

WHAT YOU WILL DO

Agile Delivery: Run Scrum/Kanban/SAFe ceremonies — sprint planning, daily stand-ups, reviews, and retrospectives — across multiple engineering squads
Sprint Execution: Own sprint planning and execution, ensuring scope, capacity, and velocity are tracked and communicated
Backlog Management: Prioritize and groom the backlog with engineering and product leads based on business impact and technical dependencies
Release Planning: Plan and coordinate releases across teams, managing scope, timelines, and cross-team dependencies
Estimation: Facilitate estimation sessions (story points, t-shirt sizing) and calibrate accuracy over time
Continuous Improvement: Drive retrospectives and process reviews that translate into measurable team improvements
Roadmap & Milestones: Maintain the engineering roadmap, track milestones, and proactively flag risks to leadership
Documentation: Own project documentation, decision logs, and process artifacts so teams stay aligned and auditable
Metrics & Reporting: Track velocity, cycle time, throughput, and other delivery KPIs; report data-driven status to stakeholders
Cross-Team Collaboration: Act as the connective layer between engineering, product, design, and AI teams to unblock delivery

REQUIREMENTS

Must Have

Good to Have

5–10 years of experience managing software/engineering delivery, with strong exposure to Agile methodologies (Scrum, Kanban, SAFe)
Proven track record of sprint planning, execution, and estimation techniques
Hands-on backlog prioritization and release planning across multiple teams
Experience running retrospectives and driving continuous improvement
Strong planning & organization skills: time management, prioritization, roadmap planning, and milestone tracking
Solid documentation management and process improvement track record
Strong analytical skills: problem-solving, critical thinking, and root cause analysis
Comfort with data-driven decision-making and metrics/KPI analysis (velocity, cycle time, throughput)
Excellent stakeholder communication across engineering, product, and leadership

Certification in Scrum (CSM/PSM), SAFe (SA/SPC), or PMP/PMI-ACP
Experience with tools like Jira, Confluence, Linear, or Azure DevOps
Background managing delivery for AI/ML or data-heavy engineering teams
Exposure to BFSI, telecom, or enterprise product domains
Experience setting up or scaling PMO practices in a startup environment
Familiarity with engineering concepts (APIs, cloud deployments, CI/CD) to converse fluently with tech teams

WHY JOIN GNANI

You will bring order and momentum to teams building products used by millions — systems that process 30M+ real-time voice AI calls per day across BFSI, telecom, and government verticals. Your delivery discipline directly shapes how fast our architecture and AI innovations reach production. You will work alongside engineering leaders, AI researchers, and product teams shaping proprietary multilingual speech and language technology.

The role has a clear path into Senior Program Manager, Head of Engineering PMO, or Director of Engineering Operations.

Skills Required

Primary Skills

AI Roadmapping

Agile project management

Adaptability and problem-solving

Agile - Scrum

Agile (Scrum, Jira)

Azure (AI)

Data Analysis & KPI Reporting

Ability to work both independently and in a team environment

Apply Now

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