About the Role

We are looking for a highly-motivated Partner Solutions Engineer - Ads in Palo Alto. This is not a traditional support role. You will operate as a forward-deployed engineer at the intersection of product, engineering, and our partner ecosystem, owning the technical relationship with our most strategic 3P integration partners.

We are actively building next-generation integration flows with partners. This role exists to make those integrations succeed, accelerate adoption of our CAPI and tracking infrastructure, and ensure that integration friction gets fed back into the product rather than buried in a ticket queue. 90% of this role is partner-facing: guiding advertisers and integration partners through correct implementation, troubleshooting issues quickly, providing strategic guidance, and proactively identifying gaps in our APIs and flows. The remaining 10% is hands-on: when you see a recurring friction point, you build the fix.

We want someone who treats every recurring partner issue as a signal that something in our product, API, or documentation can be improved, and who has the technical depth to act on it. You will work directly with AppLovin's engineering teams and leadership, with real influence over how our integration ecosystem evolves. The partners you support will be some of the most strategically important to Axon's growth.

A Day in the Life

Partner Integration & Enablement

• Own the end-to-end technical onboarding and integration experience for strategic 3P partners across CAPI, web SDK, and APIs
• Guide advertisers and partners through correct implementation of Axon's tracking and data infrastructure, proactively identifying and resolving misconfigurations before they impact performance
• Serve as the primary technical point of contact for partner-specific issues across new integration pilots, including API flows and sandbox/testing environments
• Drive adoption by translating complex technical requirements into clear, actionable guidance for both technical and non-technical audiences

Analytical Problem Solving

• Investigate, reproduce, and resolve technical issues with web SDK, CAPI, and API integrations, pinpointing root causes through data analysis
• Query and visualize large data sets to identify anomalies, performance drops, attribution discrepancies, and integration edge cases
• Build internal tooling and scripts to streamline troubleshooting, automate validation steps, and accelerate partner debugging
• Spot patterns across partner issues and translate recurring friction points into concrete product improvement recommendations

Cross-Functional Impact

• Work closely with AppLovin's engineering teams to architect and prioritize solutions to integration problems at scale
• Act as the connective tissue between partners and our internal engineering teams, ensuring partner feedback directly influences product and API roadmap decisions
• Support new integration pilots across partners, owning sandbox validation and proactive issue resolution so core engineering stays focused on building
• Influence decision-making through data-centric presentations to internal stakeholders and leadership

Who You Are 

• 2+ years of professional software engineering experience, with production-quality code in dynamic environments
  
• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
• Strong foundation in web-based integrations: experience with CAPI, server-side tracking, APIs, pixels, or equivalent ad tech infrastructure
• Proficiency in at least one scripting or general-purpose language (Python, JavaScript, or similar) with the ability to build lightweight tooling independently
• Experience querying large data sets with SQL; comfort working directly in data to debug, validate, and surface insights
• Clear, precise written communicator, equally at ease in internal technical discussions and external partner communications

Preferred Qualifications

• Experience in ad tech, performance marketing, or e-commerce advertising, with familiarity with attribution, data signals, ROAS, and measurement concepts
• Hands-on experience with e-commerce platforms such as Shopify, Google Tag Manager, or equivalent
• Experience working with enterprise or strategic B2B partners in a technical capacity
• Track record of identifying product gaps from operational experience and driving improvements back into engineering roadmaps
• Comfort operating in a fast-moving, ambiguous environment where the answer isn't always written down
• Prior experience in a solutions engineering, partner engineering, or forward-deployed engineering role

AppLovin has become aware of a scam targeting jobseekers with fake “app optimization” and similar roles.  We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions.

 

AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.

 

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at [email protected].

 

AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.  If you’re applying for a position in California, learn more here.

 

To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.

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