Business Development Executive
Loop Shop is a UAE-based marketplace platform focused on sustainable fashion and lifestyle goods. The Business Development Executive is responsible for identifying new opportunities, qualifying leads, and nurturing client relationships. This role involves developing growth strategies and collaborating with internal teams to expand the brand's presence in the resale industry. The position requires strong communication skills and a proven track record in meeting acquisition targets.
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Experience
Experience not specified
Function
Business Development
Work mode
Onsite, UAE
Company
Tier 2
What you will work on
Loop Shop is a UAE-based marketplace platform focused on sustainable fashion and lifestyle goods. The Business Development Executive is responsible for identifying new opportunities, qualifying leads, and nurturing client relationships. This role involves developing growth strategies and collaborating with internal teams to expand the brand's presence in the resale industry. The position requires strong communication skills and a proven track record in meeting acquisition targets.
TAL's take
A clearly defined business development role at a specific marketplace startup, though lacking seniority and specific tech depth.
Well-defined responsibilities for a business development function, though standard in scope.
Must haves
- Expertise in New Business Development and Lead Generation
- Strong skills in Business Strategy and Growth Planning
- Excellent Communication abilities and relationship-building skills
- Experience in Account Management
- Proven track record in meeting targets and managing client acquisition
About the company
Unfamiliar company, default mid-tier assigned for a local marketplace startup.
Posts mentioning Loop Shop
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sharing what actually came up in my google data science interview questions loop
interviewed earlier this year. L4 data science role. i’d prepped a lot of sql and stats but the interviews didn’t really go the way most of the prep guides described. product sense round was about improving an existing google product with very limited data. follow ups were mostly on how would you validate that and what metrics would fail first if you were wrong. analytics round was basic sql joins + interpretation, nothing hard. the tricky part was explaining what the result actually meant for the business. also had one round that felt like a mix of behavioral and infra they asked how i’d convince a team to trust a model i helped build, and what i’d do if they weren’t using it after launch. if you’re prepping for google data science interview questions, the technical bar’s real, but it’s the communication follow-ups that catch people.
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