Lead Product Development
1 week ago
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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