Staff Engineer

InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company’s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.

• Salesforce platform engineering: Design, build, and deploy scalable Salesforce-centric solutions supporting InMobi's revenue and growth operations - including Agentforce / AI-driven orchestration, prompt templating, Data Cloud integration, complex Apex, LWC, and integration layers.
• Design high-scale integrations with enterprise-grade architectures leveraging Platform Events, Change Data Capture (CDC), and REST/SOAP APIs to enable real-time data flows across the business.
• Build features enabling seamless integration between Salesforce structured/unstructured data and downstream AI agents for faster insights and decision-making.
• Deploy and monitor Salesforce-integrated products with an emphasis on agent observability, telemetry, and auditability.
• Develop best-in-class data health monitoring and context enrichment pipelines to ensure CRM data used by agents is reliable, governed, and audit-ready.
• Agentic AI & intelligent automation: Lead technical solutioning for full-lifecycle projects focused on how Salesforce will power autonomous workflows, co-pilots, and multi-agent systems - contributing to a "data-first, agent-aware" architecture strategy.
• Partner with product management and business stakeholders to prioritize CRM data products that drive autonomous decision-making, context-rich recommendations, and discoverable data services for next-gen AI agents and LLM-based systems.
• Distributed systems & backend: Architect and scale distributed systems that interact with Salesforce for real-time data synchronization, leveraging Kafka, Spark, or similar streaming technologies.
• Write clean, testable, and high-performance backend middleware in Java that bridges CRM and cloud services.

• Skillset: Agentforce (Agent Development), Salesforce (Advanced), Apex, Lightning Web Components (LWC), Experience Cloud, Data Cloud, Slack, CI/CD (Copado/GitHub), Event-Driven Architecture, Integration Patterns (Apache Camel), Java, Automation & Workflow Design, Performance Optimization, Python.
• As an Architect/Staff Engineer I at InMobi, you will be a mentor, technical leader driving the design, development, and delivery of Agentic AI solutions on Salesforce platform.
• You will serve as the bridge between our CRM infrastructure and AI-driven product experiences - shaping how InMobi's go-to-market and revenue systems evolve and uplift in an era of autonomous workflows and intelligent automation.
• You'll work closely with product team, RevOps, Data and product engineering to build scalable, distributed, enterprise-grade solutions that power InMobi's growth.