Manager, Business Development

AppLovin is the market leader in performance advertising for mobile games. In 2024, we expanded into the ecommerce space, enabling brands to reach 150M+ U.S. daily active users in a variety of mobile games—scale that rivals the largest social platforms. In Q4, we reached a $1 billion annual run rate in gross advertiser spend in the ecommerce category alone.

Learn more about our fast-growing ecommerce beta: https://ecomm.applovin.com/

AppLovin's global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our customers around the world. We are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.

We are seeking a driven, analytical, and results-focused Manager, Business Development to join our fast-paced and expanding eCommerce team in Israel. This is a unique opportunity to shape a new business line from the ground up and work at the intersection of performance marketing and business development within the rapidly growing eCommerce space.

In this client-facing role, you’ll partner with eCommerce brands to unlock growth by leveraging AppLovin’s marketing platform. You’ll build strong relationships with key stakeholders, help them optimize campaigns, and lead strategic initiatives that drive business outcomes in Israel. You’ll also work closely with AppLovin leadership and product experts to evolve our eCommerce advertising solution and drive adoption in the market.

• Proactively contact new and existing eCommerce partners to pitch, onboard, and scale their usage of AppLovin’s platform.
• Leverage a strong consultative sales approach to engage with CMOs, Heads of Marketing, and key decision-makers.
• Act as a trusted advisor to your portfolio of eCommerce brands, ensuring long-term success and growth.
• Define and analyze metrics to ensure success for our strategic partners.
• Set up and grow campaigns by analyzing data, testing ideas for creative ad sets, and proactively optimize toward performance targets.
• Become an expert on AppLovin’s mobile advertising products for eCommerce brands.
• Represent AppLovin at industry events and conferences to build brand awareness and identify new opportunities.
• Collaborate cross-functionally with internal teams including Sales, Product, and Data Science to drive client success and shape go-to-market strategies.
  

• 3+ years of experience in performance marketing, media buying, or digital strategy in the eCommerce industry.
• Strong understanding of key performance KPIs, attribution models, and customer behavior analytics.
• Experience with Shopify and direct-to-consumer (DTC) business models.
• Demonstrate outstanding analytical ability and strategic grasp of the “big picture”.
• Ability to work independently and with a team in a fast-paced and dynamic environment.
• Exceptional communication skills and clearly able to communicate concepts and ideas
• Excellent attention to detail and highly organized.
• Flexible team-player who can use drive, creativity, and initiative to move the organization forward.
• Demonstrated experience in handling large data sets, with a strong ability to analyze complex data and identify actionable patterns to drive strategic decision-making and optimize client outcomes.
• Proven interest in technology. Whether you’re an early adopter of gadgets, or an Excel whiz, or took a computer science class in school and loved it, we are a high tech and big data company where you will constantly have the opportunity to contribute business and product ideas.

• BA/BS degree with a strong academic record.
• Familiarity with Facebook Ads Manager, Google Ads, TikTok Ads, Google Analytics, or other digital marketing platforms. 
• Experience with full-funnel media buying, conversion rate optimization (CRO) tactics, incrementality tests, and lifecycle marketing.
• Mobile experience and knowledge of the mobile advertising landscape.
• A basic understanding of programming or scripting.
• Understanding of models for intelligent decision making, such as game theory, chess, or poker.