Lead Product Development

6 days ago


Lahore, Punjab, Pakistan Nisum Full time 1,200,000 - 3,600,000 per year

We are looking for an entrepreneurial
Product Lead
to drive the launch of our brand-new product development division. This role will focus on
product discovery, vision, and execution
for early-stage prototypes and MVPs, working closely with a Tech Lead. It's a rare opportunity to build a "startup within a company" and instill product DNA in an organization with 25+ years of client-service experience.

What You'll Do
Product Vision & Strategy

  • Define the product roadmap and strategy for prototypes and MVPs.
  • Lead product discovery through customer interviews, market research, and competitor analysis.
  • Translate business problems into product hypotheses, testable prototypes, and market-ready MVPs.

Prototyping & Execution

  • Leverage AI-assisted tools (Figma AI, Lovable, ChatGPT, MidJourney, Notion AI) to accelerate ideation.
  • Work with the Tech Lead to align product goals with technical feasibility.
  • Prioritize features and manage trade-offs between scope, speed, and quality.

Metrics & Growth

  • Establish lightweight success metrics (adoption, usability, time-to-value).
  • Monitor usage data and feedback to iterate rapidly.

Culture & Leadership

  • Advocate for product-first thinking within the company.
  • Coach stakeholders on agile, lean, and experimentation-driven product culture.

Collaboration & Continuous Improvement

  • Partner with cross-functional teams to test, validate, and refine early-stage ideas.
  • Embrace ambiguity and drive clarity through structured product development.
  • Foster a culture of innovation, speed, and data-driven decision making.

What You Know

  • 8+ years overall, with at least 3–5 years in product development or startup environments.
  • Proven track record in building products in 0→1 environments.
  • Strong expertise in rapid prototyping, lean product development, and agile frameworks.
  • Hands-on familiarity with AI-assisted product workflows.
  • Excellent storytelling and communication skills to bridge technical and business needs.
  • Strong analytical ability with a bias for data-driven decisions.
  • Comfort working in fast-paced, high-ambiguity settings.

Nice to Have

  • Exposure to SaaS, enterprise applications, or AI-driven solutions.
  • Experience scaling MVPs into production-grade products.
  • Familiarity with cloud-native ecosystems (AWS, GCP, Azure).

Education

  • Bachelor's degree in Business, Product Management, Computer Science, or related field (Master's preferred but not mandatory).

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