Product Development & Delivery Consultant (AI)

Department: Product & Technology Designation: Product Development & Delivery Consultant Experience: 5+ Years Location: Hyderabad Employment Type: Consultant ( Need to be available 4 to 5hr daily on call )
About Dreamtime Learning
Dreamtime Learning is building innovative, technology-enabled learning solutions that transform the education ecosystem. We are developing AI-powered learning platforms and digital solutions to make education more accessible, personalised and effective.
We are looking for an experienced and execution-oriented Product Development & Delivery Consultant who can take complete ownership of product development, quality assurance, deployment, implementation and continuous improvement.
Role Overview
The individual will be responsible for managing the complete product lifecycle, from understanding business requirements and defining product priorities to coordinating development, testing, deployment and successful implementation.
This role requires a strong combination of technical knowledge, product management capabilities, AI/LLM understanding and delivery execution.
The ideal candidate should be a hands-on professional who can work closely with developers, designers, internal stakeholders and clients to ensure that products are delivered on time, function effectively and continuously evolve based on user feedback.
Key Responsibilities
1. Product Development & Management
Understand business requirements and translate them into product specifications and technical requirements.
Define product roadmaps, development priorities and release plans.
Coordinate with development teams to ensure timely execution.
Manage the complete product development lifecycle (SDLC).
Ensure alignment between business objectives and technical deliverables.
2. AI Product Development & Optimisation
Work on AI-powered features and Generative AI/LLM-based functionalities.
Evaluate AI outputs for accuracy, relevance, consistency and quality.
Work with AI APIs, prompt engineering and integrations.
Identify AI performance gaps and drive improvements.
Ensure AI functionalities deliver meaningful user experiences.
3. Quality Assurance & Testing
Drive functional testing, integration testing, QA and User Acceptance Testing (UAT).
Identify bugs, technical issues and performance gaps.
Coordinate with developers to ensure timely resolution.
Establish quality benchmarks and release-readiness processes.
Ensure product stability before every release.
4. Deployment & Implementation
Own end-to-end product deployment and release management.
Manage API integrations, third-party tools and system connectivity.
Coordinate client onboarding, implementation and product configuration.
Ensure smooth transition from development to live production environments.
Troubleshoot technical and implementation-related challenges.
5. Product Delivery & Stakeholder Management
Act as the primary coordination point between business teams, developers, designers and implementation teams.
Track development milestones, timelines and deliverables.
Resolve product-related challenges and delivery bottlenecks.
Take ownership of issues until closure.
Provide regular progress updates to leadership.
6. Analytics & Continuous Improvement
Monitor product performance, usage patterns and adoption.
Analyse user feedback and identify improvement opportunities.
Recommend product enhancements based on data and business requirements.
Drive continuous product optimisation and feature upgrades.
Required Skills & Competencies
Strong understanding of Product Development and Product Lifecycle Management.
Hands-on experience with SDLC, Agile and Scrum methodologies.
Knowledge of Generative AI, LLMs, AI APIs and prompt engineering.
Understanding of REST APIs, integrations, databases and cloud-based SaaS platforms.
Experience in QA, UAT, testing and deployment processes.
Understanding of LMS, EdTech or digital learning platforms.
Knowledge of product analytics, user adoption and performance monitoring.
Strong troubleshooting, analytical and problem-solving abilities.
Excellent stakeholder management and communication skills.
Ability to independently manage priorities and drive execution.
Experience & Qualifications
Minimum 7+ years of experience in Product Development, Technology Delivery, SaaS, EdTech or Digital Product Management.
Proven experience managing products from development through testing, deployment and live implementation.
Experience working closely with software developers, designers and technical teams.
Exposure to AI-enabled products, Generative AI or LLM-based solutions will be a strong advantage.
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Product Management, or a related discipline.
What We Are Looking For
We are looking for someone who:
Takes complete ownership rather than simply providing recommendations.
Can independently drive product development and delivery.
Is comfortable working in a fast-paced, evolving environment.
Can understand both business requirements and technical challenges.
Proactively identifies issues and drives them to resolution.
Ensures that products are not just developed but successfully deployed, implemented and continuously improved.
The expectation is simple: Own the product, drive execution and ensure delivery.