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Staff Engineer 1 – Salesforce AI

InMobi

Bangalore, Karnataka, IndiaFull Time
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Staff Engineer 1 – Salesforce AI at InMobi is a full time role based in Bangalore, Karnataka, India. It was published on 17 August 2026 and was open at last check.

Staff Engineer 1 – Salesforce AI at InMobi — key details
RoleStaff Engineer 1 – Salesforce AI
CompanyInMobi
LocationBangalore, Karnataka, India
Employment typeFull Time
Published17 August 2026
StatusOpen at last check

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.

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 www.inmobi.com

What is the team like?

The GTM (Go-To-Market) Engineering team at InMobi builds and scales the systems that power revenue operations and customer engagement. The team owns a comprehensive Salesforce ecosystem—including Sales Cloud, Data Cloud, and Agentforce —along with Experience Cloud (Customer Community), enabling seamless workflows for Sales, Account Management, and Business teams. A key focus area is building intelligent agents and automations using Agentforce , integrated across Salesforce, Slack, and community platforms. These agents drive productivity, automate workflows, and enable real-time, context-aware actions for internal teams and customer-facing use cases. The team also leverages Slack as a collaboration and execution layer, tightly integrated with Salesforce to trigger workflows, surface insights, and enable faster decision-making. On the backend, the team develops and maintains a scalable middleware platform using Apache Camel and Java, powering event-driven integrations and reliable data exchange across systems. The architecture blends CRM, data platforms, agent-based automation, and distributed systems—focusing on extensibility, real-time processing, and high impact business outcomes. This is a high-impact engineering team operating at the intersection of CRM, AI-driven agents, integrations, and modern enterprise platforms.

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

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 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.

What you'll do

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 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 InMobi's platform reliability with a focus on fault tolerance, performance optimization, and scalability.

What you'll 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.
  • Track record of building and delivering Agentic AI solutions for enterprise systems - including sophisticated Salesforce UIs and high-performance backend services.
  • Experience with Salesforce Media Cloud, Order Management System (OMS), Revenue Cloud, or related platforms.
  • Familiarity with LLM evaluation, agent observability tooling, or RAG pipeline design.

The InMobi Culture

At InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.

We thrive on challenges and seize every opportunity for growth. Our core values — thinking big, being passionate, showing accountability, and taking ownership with freedom — guide us in every decision we make.

We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.

InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.

Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!

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Staff Engineer 1 – Salesforce AI at InMobi — questions answered

What does the Staff Engineer 1 – Salesforce AI role at InMobi pay?

InMobi does not publish a salary on this Staff Engineer 1 – Salesforce AI listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.

Where is the Staff Engineer 1 – Salesforce AI role at InMobi based?

InMobi lists this Staff Engineer 1 – Salesforce AI role in Bangalore, Karnataka, India, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with InMobi before you apply.

Is the Staff Engineer 1 – Salesforce AI role at InMobi still open?

The Staff Engineer 1 – Salesforce AI posting at InMobi was open at OnJob's last check of the employer's careers page, having been published on 17 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.

How do you apply for the Staff Engineer 1 – Salesforce AI role at InMobi?

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