Summary written by Jobs Hindustan from InMobi's advert and our data on 8,417 current jobs in India. How we check every job
At a glance
InMobi has an opening for Staff Engineer 1 – Salesforce AI in Bengaluru. It is a full-time role in Data, AI & Analytics, asking for at least 10 years of experience, first listed on 31 October. The description mentions Salesforce, Machine learning, Generative AI, Java, CI/CD and Git. InMobi has 51 other openings in India, 42 of them in Bengaluru. Across all employers on Jobs Hindustan there are 647 Data & AI openings in Bengaluru today; the typical one asks for 5 years.
SalesforceMachine learningGenerative AIJavaCI/CDGitPythonKafka
Skills in this advert
How often each skill named in this advert appears across the 1,222 data & AI jobs we list in India today. Python is the most widely requested (54% of jobs), while Salesforce is the least common (3%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
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Before you apply
- Check it is still open. We found this job on InMobi's Greenhouse site on 31 October 2026 and checked it again 4 November at 5:47 am IST. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in Bengaluru. If you would need to move, ask whether relocation support is offered.
- Match the experience. The advert asks for at least 10 years of experience. If you are a little short, a close match on the skills in the advert can still get you shortlisted.
- Tailor your resume. Use the advert's own words, such as Salesforce, Machine learning and Generative AI, wherever they are true for you. Our resume guide shows how.
- Know your notice period. If you are working now, recruiters will ask how soon you can join. Work out your last working day with our notice period calculator, and read our guide to notice periods and resigning.
- Understand any offer. The CTC in an offer letter is not what reaches your bank account each month. Our CTC to in-hand salary calculator gives a rough monthly figure, and our CTC guide explains each part.
- Apply only through InMobi's own site. Our Apply button goes straight to InMobi's Greenhouse page. If anyone asks you to pay a registration fee, training fee or security deposit for this job, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at InMobi
InMobi has 52 openings in India on Jobs Hindustan today across 4 cities. Most are in marketing (11), data & AI (9) and risk & legal (5). The biggest locations are Bengaluru (43), Lucknow (6) and Delhi (2). None of them can be done fully from home, and 4% are open to freshers or interns. We collect InMobi's jobs every day straight from its own careers system (Greenhouse), never from job boards, agencies or consultants.
The employer's advert
This is InMobi's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from InMobiHide the advert1,111 words
InMobi (Corporate)
InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd.
InMobi Advertising
InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com.
Glance
Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.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!
Jobs Hindustan copied this listing from InMobi's official careers site on 30 October 2026 and checked it again 4 November at 5:47 am IST. InMobi never asks candidates for money. If anyone does, it is a scam.
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