Product Manager

Codewalla

Chennai District

On-site

INR 1,200,000 - 1,800,000

Full time

2 days ago
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Benefits offered by this job

Competitive compensation
Health benefits
Professional development
Modern design tools

Job summary

Codewalla is seeking a Product Manager who can move from problem framing to a measurable outcome, using AI-enabled prototypes to inform decisions. You will own end-to-end product delivery, collaborating with global clients and senior stakeholders.

You will work hands-on with AI tools, design experiments, and drive the smallest responsible release while balancing complexity, reliability, and business value.

Qualifications

  • 3+ years of product management experience.
  • Experience delivering AI-enabled products.
  • Strong communication with global stakeholders.

Responsibilities

  • Identify sharp problems behind requests and justify solutions with evidence.
  • Move quickly from discussion to evidence via research and small experiments.
  • Define measurable outcomes before large investments.
  • Collaborate with design and engineering using AI prototyping.
  • Ensure release governance and post-launch learning.

Skills

Product ownership
Curiosity & judgment
Prototyping
APIs & data
Data-driven decisions
Stakeholder communication

Tools

AI prototyping tools

Job description

Job Title: Product Manager — AI-native product builder

Experience: 3+ Years

Employment type: Full-time
Location: Chennai (exceptional global candidates may be considered)
Role Overview:

Codewalla is looking for a Product Manager who is becoming a product builder: someone who can move from a messy business problem to evidence, a working prototype, a product decision, shipped software, and a measurable outcome. This is not backlog administration or strategy in isolation; you are expected to get close to the product and help build it.

What we look for:
  • Meaningful end-to-end ownership of software products, with strong product sense across problem framing, prioritization, simplification, and trade-offs.
  • High agency, curiosity, humility, and strong judgment; willingness to change your mind when evidence changes.
  • A builder's instinct: comfort creating prototypes and using modern AI development tools to answer questions yourself.
  • Technical fluency to reason about APIs, data, architecture implications, reliability, model behavior, and constraints.
  • Evidence-based decision-making using customer research, analytics, operational data, experiments, and product economics.
  • Clear writing and communication with global clients and senior stakeholders.
What you will do
  • Find the sharp problem behind a request, workflow, or business ambition; make assumptions explicit and challenge the initial solution when evidence points elsewhere.
  • Move quickly from discussion to evidence through research, data analysis, interactive prototypes, technical spikes, synthetic scenarios, and small experiments.
  • Use AI coding and prototyping tools to explore product behavior yourself and improve collaboration with design and engineering.
  • Define measurable customer, operational, and business outcomes before significant engineering investment; shape the smallest responsible release and make trade-offs visible.
  • Reduce unnecessary PRDs, meetings, tickets, and handoffs—create only the artifacts that improve decisions and execution.
  • Stay involved through implementation, QA/UAT, launch, instrumentation, and post-launch learning; use evidence to decide what to change, continue, or stop.
  • Continuously improve how the team builds by experimenting with AI workflows and sharing what works.
Building AI products
  • Recognize where AI genuinely changes a workflow or outcome and where conventional software is the better answer.
  • Understand model capabilities and limitations well enough to design around what is possible; define evals, test cases, failure taxonomies, quality thresholds, human review, escalation, and feedback loops.
  • Treat trust, privacy, security, latency, cost, reliability, and hallucination risk as product constraints—and never confuse a compelling demo with a dependable product.
  • Measure AI-enabled work through outcomes such as productivity, cycle time, adoption, conversion, revenue, cost, quality, or risk.
About Codewalla:

Codewalla is a New York-based product and technology company with engineering teams in India. Since 2005, we have helped global clients build new software products, modernize existing platforms, and solve complex business and operational problems. Our teams work across enterprise platforms, SaaS products, mobile applications, workflow systems, platform modernization and AI-enabled product development. With our Chennai office, launched on November 2025, we are building a high-performance product and engineering teams that works closely with New York-based leadership and global clients. To know more about us visit: Enterprise Software Modernization & Digital Product Delivery | Codewalla

Why Join Codewalla?
  • Solve meaningful product challenges from discovery to launch.
  • Influence products before solutions are predefined.
  • Collaborate with experienced Product Managers, Engineers, and global leadership.
  • Competitive compensation, health benefits, professional development, and modern design tools.
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