The Solutions Engineer will manage technical relationships with publishers, lead SDK integration, provide support, troubleshoot issues, and develop automation tools in a mobile advertising environment.
At CloudX we’re building a new supply-side advertising platform for mobile publishers. We’re convinced that an AI-native product will significantly advance the state of the art in mobile advertising; we recently raised a $30M Series A in order to bring this dream to life. We have a long history of innovation in this space — our founding team previously built MoPub (sold to Twitter for $350M) and MAX (acquired by AppLovin). Our new platform combines real technical improvements like verifiably fair auctions with a truly AI-native product experience to give publishers unprecedented control over their ad monetization strategy.
Embed directly with publishers to design, build, and ship the integration solutions that get them live on CloudX. You'll own the work from pre-sales integration discussion through hands-on integration, deployed tooling, and ongoing optimization. As a Forward Deployed Engineer, you're an engineer first. You write the code, stand up the automation, and solve problems in the partner's environment. You combine deep ad tech expertise with consultative problem solving to ensure partners extract maximum value from CloudX's platform.
- Own SDK integration end-to-end, from kickoff to first impression served, writing and debugging code alongside the partner's engineering team
- Build and ship production-grade integration, automation, AI agents, internal tools, and custom solutions that make each integration faster and more reliable than the last
- Provide real-time, hands-on technical support during integration, QA, and optimization diving into logs, auctions, and live traffic
- Troubleshoot issues across the full ad delivery pipeline: SDK, auctions, bidding, reporting
- Leverage AI to analyze integration patterns, predict issues before they surface, and generate technical documentation and diagnostics
- Turn recurring partner problems into reusable, deployable solutions then work with Product and Engineering to fold them back into the core platform
- Monitor partner technical health and proactively surface optimization opportunities through data analysis and AI insights
- Collaborate with engineering and product to create and maintain technical documentation, integration guides, and best-practice playbooks using AI assistance
- 5+ years as a Software Engineer, Forward Deployed Engineer, Solutions Engineer, or Integration Engineer, with substantial time spent writing and shipping code and not just managing projects
- Proven ability to lead and implement complex technical integrations with clients, ideally in mobile, SDK-based, or programmatic advertising environments
- Strong proficiency in iOS (Swift, Objective-C) and Android (Kotlin, Java) for SDK integration and debugging
- Comfort building backend services, scripts, and automation in a general-purpose language (Python, Go, or similar)
- Deep understanding of the ad-tech ecosystem: mediation platforms, header bidding, RTB/OpenRTB, auction mechanics, ad servers
- Strong troubleshooting and debugging skills across client-side and server-side systems
- Hands-on experience using AI tools (like Claude) to accelerate code generation, debugging, documentation, and log analysis
- Ability to build AI-powered automation that scales your impact well beyond manual work
- Excellent communication skills. You can explain complex technical concepts to both technical and non-technical audiences
- Willingness to travel to and embed with partners as needed
Engineer who ships in the field: You've built and deployed real solutions inside complex ad tech integrations. You can write code to solve problems on the spot. That might mean debugging an SDK issue, building an automation script, or standing up a custom solution. You're comfortable diving into logs, analyzing auction data, and finding solutions under real world constraints.
Consultative mindset: You're not just an implementer. You're a trusted technical advisor. You ask great questions to understand publisher needs. You design solutions that balance requirements with platform constraints, and you guide partners toward optimal outcomes.
Bridge builder: You translate between technical and business worlds effectively.
Problem solving: When integrations break or partners face issues, you form hypotheses, test them methodically, and communicate clearly throughout. You don't just fix the immediate problem. You identify root causes and prevent recurrence.
High ownership and initiative: You own partner technical success end to end. When you spot a way to improve the platform or the process, you build the prototype, document the proposal, and drive the change.
Early-stage mentality: You thrive in ambiguity and move fast. You know when "good enough" beats perfect and when to push for rigor. You're comfortable wearing multiple hats. One day it's hands-on integration, the next it's presenting to executives, and the day after it's building deployable tooling.
AI-forward approach: You actively use AI tools to scale your impact. That includes analyzing logs, debugging code, creating documentation, and building automation. You understand what AI accelerates and where human expertise is critical, and you're excited to build AI-powered solutions for partners.
- Competitive salary + equity + benefits
- Remote work flexibility with follow-the-sun coverage model
- Work directly with MoPub/MAX founding team
- Shape the future of ad tech infrastructure
CloudX San Francisco, California, USA Office
San Francisco, CA, United States
Similar Jobs
Artificial Intelligence • Productivity • Software • Automation
Own enterprise pipeline generation through signal-led, multi-channel demand gen campaigns. Partner with Enterprise AEs to target accounts, design ABM plays, run frequent experiments, craft outbound messaging, and build AI-driven workflows that automate engagement and accelerate deals from first touch to closed-won.
Top Skills:
6SenseAgentsAi-Powered WorkflowsApolloClayDemandbaseGong EngageHubspotLlmsZoominfo
Artificial Intelligence • Productivity • Software • Automation
Run and maintain Zapier's incident program operations: manage incident tooling and on-call systems, build AI-powered automations and dashboards, maintain runbooks and enablement, operate reporting and observability, coordinate cross-functional stakeholders, and drive continuous improvement to keep incident response reliable and scalable.
Top Skills:
APIsClaudeCodaCopilotCursorDatabricksDatadogGitlabGoogle WorkspaceGrafanaGraylogIncident.IoJIRALookerOpensearchPagerdutyPrometheusSlackSlack ApisSQLZapier AiZendesk
Cybersecurity
Lead product marketing for Enterprise Password Manager: own messaging, positioning, competitive strategy, launches, and field enablement. Translate technical concepts (passkeys, machine credentials, zero-knowledge) into narratives for IT, security engineers, and CISOs. Build competitive intelligence, inform product strategy, and produce sales tools that drive displacement of incumbents.
Top Skills:
Ai AgentsAi/MlApi KeysCertificatesCredentials SecurityDirectory ServicesEnterprise VaultingIamIdentity SecurityMachine SecretsMdmPasskeysPassword ManagementSsoZero-Knowledge Architecture
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
