Product Manager

Matrix Comsec; Vadodara; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Matrix Comsec is seeking a customer-focused Product Manager who connects customer problems, business priorities, and technology to deliver meaningful product outcomes. You will own a defined product or workflow, collaborating with Engineering and Design from discovery through adoption and results.

You will balance customer value, business impact, and technical feasibility, drive discovery, analytical judgment, and prioritization, and maintain accountability from discovery through delivery,

Qualifications

• Conduct research, frame problems, develop value hypotheses, design experiments, define scope.
• Establish baselines and success metrics, interpret qualitative and quantitative evidence.
• Assess feasibility, system dependencies, adoption, business viability, and support implications.

Responsibilities

• Customer discovery and problem definition: Learn from users, buyers, operators, installers, integrators, and support teams; test value and feasibility.
• Product direction and prioritization: Translate direction into priorities and a roadmap connected to outcomes.
• Delivery, adoption, and measurement: Sequence useful increments, run pilots and measure adoption and results.
• Complete solutions and responsible ownership: Consider device, firmware, software, data, integration, and service dependencies; ensure safety and privacy.

Skills

Discovery and product thinking

Analytical judgment

Technical and commercial fluency

Communication and collaboration

Trust and responsible data use

Job description

• You are a customer-focused, outcome-driven Product Manager who connects customer problems, business priorities, and technology to deliver meaningful, measurable product outcomes. You combine strong discovery, analytical judgment, and commercial and technical fluency to make evidence-based decisions, prioritize opportunities, and balance customer value, business impact, and technical feasibility.
• You would own a defined product or workflow, working with Engineering and Design from discovery through adoption and results.
• You collaborate closely with Engineering, Product Design, and cross-functional stakeholders, bringing clarity to product decisions and maintaining accountability from discovery through delivery, adoption, and continuous improvement.

Key Responsibilities :

1. Customer discovery and problem definition

• Learn from users, buyers, operators, installers, integrators, and support teams. Combine research with usage, field, market, and commercial evidence.
• Define the problem, intended outcome, baseline, assumptions, and boundaries of the work. Test value, usability, feasibility, viability, and adoption assumptions with Design and Engineering.

2. Product direction and prioritization

• Translate product direction into focused priorities and a roadmap connected to outcomes.
• Compare options using customer value, business impact, uncertainty, dependencies, risk, and lifecycle cost. Make or recommend continu, change, pause, or stop decisions within your mandate.
• Communicate intended behaviour, scope, trade-offs, and success measures clearly while Engineering and Design own their professional decisions.

3.Delivery, adoption, and measurement

• Work with partners to sequence useful increments and prepare pilots, rollout, instrumentation, customer enablement, and support.
• Review customer use and results after release. Investigate adoption barriers, distinguish evidence from assumptions, and update priorities based on learning.

4. Complete solutions and responsible ownership

• Account for relevant device, firmware, software, data, integration, installation, and service dependencies. Reuse existing capabilities where appropriate.
• Consider reliability, security, privacy, safety, accessibility, responsible AI, supportability, upgrades, and migration with specialists.
• Keep material decisions and learning understandable and raise risks or commitments beyond your authority promptly.

Skills and Competencies :

• Discovery and product thinking: Conduct research, frame problems, develop value hypotheses, design experiments, define scope, and prioritize opportunities.
• Analytical judgment: Establish baselines and success metrics, interpret qualitative and quantitative evidence, acknowledge uncertainty, and avoid unsupported causal conclusions.
• Technical and commercial fluency: Assess feasibility, system dependencies, adoption, business viability, and support implications in collaboration with technical and business specialists.
• Communication and collaboration: Articulate clear product intent, document decisions concisely, navigate constructive disagreement, and elevate risks and blockers in a timely manner.
• Trust and responsible data use: Safeguard sensitive information, anticipate the consequences of failure, validate AI‑assisted outputs, and involve accountable specialists when needed.