About BundleBox:
BundleBox is building an AI-powered platform to modernize the residential moving experience in the US. Our platform uses AI to create digital household inventories, connect consumers with verified moving companies, automate quoting, and streamline the entire relocation journey.
We are looking for a high-potential Product Manager who can work closely with leadership, engineering, design, and US-market stakeholders to build and scale products for the US market.
Key Responsibilities:
- Own product initiatives from concept to launch, including discovery, requirements, execution, and iteration.
- Understand US customer needs, market dynamics, and competitive products to identify product opportunities.
- Work closely with Engineering and UX/UI teams to translate business problems into clear product requirements.
- Create PRDs, user stories, acceptance criteria, and product roadmaps.
- Prioritize features based on customer impact, business value, and technical feasibility.
- Analyze product metrics and customer feedback to continuously improve the product.
- Coordinate with cross-functional teams to ensure timely and high-quality product delivery.
- Participate in discussions with US stakeholders, customers, and partners.
- Support product strategy and contribute to building 0 - 1 and scalable product experiences.
What We're Looking For:
- 2 - 3 years of Product Management experience in a technology/SaaS/product company.
- Experience working on B2B, B2C, marketplace, SaaS, AI, or consumer technology products is preferred.
- Strong understanding of product development lifecycle and agile methodologies.
- Experience working closely with engineering and design teams.
- Strong analytical, problem-solving, and communication skills.
- Ability to take ownership and operate effectively in a fast-paced startup environment.
- Exposure to the US market, US customers, or global products is highly preferred.
- Valid US B1 Visa is mandatory.
- Strong academic background and good pedigree from reputed institutes/organizations preferred.
- Candidates who have demonstrated strong ownership, high learning agility, and progression in their careers will be preferred.
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