Airship Syndicate
Inbound Business Development Coordinator
Remote - U.S · Senior
Sponsorship not specifiedDetected 7 days ago
ComplianceCRMSalesBusiness DevelopmentExcelResearchCommunicationCollaborationProblem SolvingMentoringPublic SpeakingMicrosoft Office
About the role
- At Gummicube, you will work in a focused, specialized business where app store performance, mobile growth, client outcomes, and data-driven execution are central to the work.
- Our teams are intentionally cross-functional, which means you often see how your work affects the full ASO process, including strategy, analytics, creative, client delivery, and product feedback.
- This is a good fit for someone who enjoys agency-style client work, fast-moving priorities, practical problem solving, and close collaboration with teammates across disciplines.
Responsibilities
- Own the inbound pipeline - You will manage and qualify inbound leads, respond promptly, schedule introductory calls, and move opportunities through the sales process
- Research and prepare - You will research prospective partners' apps and market presence to develop informed, prescriptive recommendations before calls and meetings
- Support the Business Development team - You will take notes during prospect calls, create briefing agendas, prepare executive-ready documents, and run reports that keep the team informed and aligned
- Build and maintain prospect relationships - You will develop ongoing contact with new prospects, gather feedback, and help resolve questions or concerns throughout the sales cycle
- Collaborate cross-functionally - You will work with internal stakeholders across strategy, analytics, and client services to identify opportunities and support revenue and profitability targets
- Mentorship and growth opportunities to build skills and accelerate professional development
- We use artificial intelligence tools in our recruitment process as decision-support tools only.
Requirements
- 1+ years of relevant experience in business development, sales, or a client-facing role
- You can clearly and persuasively explain solutions to a wide range of audiences
- Comfort working in a fast-paced, client-focused, or services-oriented environment
- Proficiency in Google Workspace (Docs, Sheets, Slides) and/or Microsoft Office (Word, Excel). or Google Workspace (Docs, Sheets, Slides)
- Experience experimenting with AI tools in your personal or professional life - or an eagerness to learn
- Experience with App Store Optimization, mobile growth, mobile user acquisition, or app store analytics
- Experience presenting to senior stakeholders and influencing strategic direction
- Familiarity with the App Store, Google Play, or the broader mobile marketing ecosystem
Compensation
- Starting Pay Range: $31.25- $33.90 USD per hour (annualized to $65,000 - $70,500 USD per year)
- This is a good faith estimate of the base compensation we reasonably expect to pay for this position upon hire.
- Actual starting pay may vary based on factors such as relevant skills, work experience, market demands, and location.
Benefits
- Competitive medical, dental, and vision insurance options for you and your dependents
- Flexible time off, company paid holidays, paid parental leave, and paid volunteer time off
- Support for your overall wellbeing with mental health and wellness resources
- Employer-subsidized life insurance as well as short-term and long-term disability
- A digital-first work environment and a monthly stipend to support remote work
Company info
- What We're Looking For
Equal opportunity
- In alignment with our commitment to equal opportunity, Airship will consider for employment all qualified applicants, including those with criminal histories, in a way that adheres to the principles of fairness and the requirements of local Fair Chance laws, where applicable.
Visa & Work Authorization
- Depending on your location, you may have the right to request human review of any AI-assisted employment decision or to opt out of AI evaluation.
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This listing is sourced directly from Airship Syndicate's careers page and normalized into a canonical job model.