Job Description
Job Summary
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 d cor, 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.
At InMobi Advertising, you ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit [URL_removed]
Role Overview
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 InMobis go-to-market and revenue systems evolve and uplift in an era of autonomous workflows and intelligent automation. Youll work closely with product team, RevOps, Data and product engineering to build scalable, distributed, enterprise-grade solutions that power InMobis growth.
What youll do
Salesforce platform engineering
- Design, build, and deploy scalable Salesforce-centric solutions supporting InMobis 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 at scale.
Engineering excellence
- Champion DevOps best practices including Salesforce DX, CI/CD pipelines (GitHub Actions), and automated testing frameworks.
- Mentor engineering teams, set technical standards, and enforce code quality and best practices across squads.
- Contribute to InMobis platform reliability with a focus on fault tolerance, performance optimization, and scalability.
What youll bring
Required qualifications
- 10+ years of experience in enterprise software development with a focus on scalable, fault-tolerant, CRM-integrated architectures.
- 2-3 years of hands-on experience with Agentforce, Data Cloud, and cloud platforms (GCP or Azure) and their connectivity to Salesforce.
- Deep expertise in Salesforce architecture: Apex, LWC, Salesforce Shield, CRM data modelling, and high-volume data processing patterns.
- Proven experience with advanced Salesforce integrations including Platform Events, CDC, and complex REST/SOAP API integrations.
- Experience writing optimized SOQL/SOSL and managing large datasets within Salesforce multi-tenant environments.
- Experience writing clean, testable backend code in Java or Python for middleware services (Apache Camel, MuleSoft) bridging CRM and external cloud services.
- Mastery of Salesforce DX, CI/CD pipelines (GitHub Actions / Copado), and AI automated testing and deployment frameworks.
- Knowledge of Salesforce data security including Data Mask, encryption, and governance in the context of agent auditability and compliance.
- Solid understanding of distributed systems and how tools like Kafka or Spark interact with Salesforce for real-time data synchronization.
Preferred qualifications
- Prior experience at ad-tech or high-scale B2B SaaS companies.
Skills
- Agentforce (Agent Development)
- Salesforce (Advanced)
- Apex
- Lightning Web Components (LWC)
- Data Cloud
- Slack
- Integration Patterns (Apache Camel)
- Event-Driven Architecture
- Java
No Referrers Available
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