AI Product Manager- job post Techmagnate

Full job description
AI Product Manager


1. About the Role
The Product Manager will serve as the connective tissue between business strategy, customer
needs, and engineering execution. This is a strategic leadership role requiring deep technical
literacy, strong communication skills, and the ability to drive measurable ROI across the product
lifecycle.

The ideal candidate brings:
• Data-driven thinking with a strong analytical mindset
Solid grasp of modern web technologies (React.js, Node.js, MongoDB)
Proven ability to manage high-performing, cross-functional teams
Track record of aligning product investments with company-wide growth objectives
2. Key Responsibilities

2.1 Product Strategy & Roadmap

Own, define, and communicate a clear, prioritised product roadmap aligned with
company vision and market trends
Translate high-level strategic goals into actionable quarterly and annual delivery
plans
Conduct ongoing competitive analysis and market research to identify opportunities
and threats
Align roadmap priorities with stakeholders through regular reviews and ceremonies
2.2 End-to-End Product Management

Manage the full product lifecycle — from discovery and user research through launch
and post-launch analysis
Write clear PRDs, user stories, acceptance criteria, and functional specifications
2.3 Team Leadership & People Development

Lead, mentor, and inspire a cross-functional team of engineers, designers, QA, and
analysts
Conduct regular 1:1s, performance reviews, and skill gap assessments to support
individual growth
2.4 ROI & Business Case
• Define, track, and report on KPIs and business metrics to measure the financial

impact of product decisions
Build business cases for product investments and present them to senior
stakeholders

2.5 Agile Delivery & Process
• Own and facilitate agile ceremonies: sprint planning, standups, sprint reviews, and

retrospectives
Drive continuous improvement in team velocity, delivery quality, and sprint
predictability
Partner with engineering leads to evaluate technical feasibility and ensure delivery
commitments are realistic
Define and enforce Definition of Done (DoD) and quality gates
2.6 Stakeholder Communication
• Act as the primary point of contact for product vision and delivery status across all

levels
Run executive product briefings, roadmap reviews, and investor-facing presentations
Translate technical concepts for non-technical stakeholders and business strategy for
engineering teams
Manage expectations proactively — communicate risks, delays, and scope changes
with transparency

2.7 Go-To-Market & Launch Strategy
• Define and execute GTM strategies for major feature releases and product launches
Partner with marketing, sales, and customer success to align launch readiness and
adoption plans
Monitor post-launch performance and rapidly iterate based on user feedback and
analytics

2.8 Customer & Market Research
• Conduct user interviews, usability studies, and customer feedback sessions regularly
Synthesise qualitative insights and quantitative analytics into prioritised product
decisions
Champion the voice of the customer across all product and engineering discussions
3. Technical Knowledge

While this role does not require hands-on coding, a solid working understanding of the following
technologies is essential for effective product decision-making, feasibility assessment, and
engineering collaboration:

Technology Expected Proficiency

React.js Component-based architecture, state management, frontend rendering
— write precise UI requirements and evaluate design feasibility.

Node.js REST API design, middleware concepts, server-side logic — assess
backend complexity and build vs. buy trade-offs.

MongoDB Document-based data models, indexing, and aggregation pipelines —
engage meaningfully in data architecture discussions.

Analytics Tools Proficiency with Mixpanel, Amplitude, Google Analytics. Ability to
self-serve data queries without engineering dependency.

API / Integration Read API documentation, understand webhooks and event-driven
architectures, coordinate third-party integrations.