Lead Product Development

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).