# DigiIQ full content > DigiIQ builds production AI, Salesforce programs and digital platforms for enterprises. DigiIQ is an enterprise technology company with offices in Sacramento, USA (Digiiq Inc) and Noida, India (Digiiq IT Solution Pvt Ltd). Contact: info@digiiq.com ## Solutions ### Dealer Management Systems Enterprise dealer platforms that connect manufacturers, dealers and field teams across onboarding, sales, inventory, service and performance. Dealer networks usually run on a patchwork. A portal here, a spreadsheet there, phone calls filling the gaps. The dealers feel it, and so does your data. We build dealer platforms that unify partner onboarding, sales, inventory, service and performance into one experience, integrated with the ERP and CRM you already run. What should a modern dealer platform actually do? Improve the dealer’s day and the manufacturer’s visibility at the same time. Fewer systems to log into, less manual re-entry, live inventory and incentives, and performance data both sides can trust, without forcing anyone to abandon systems that already work. What we deliver Dealer portal and mobile experience.Onboarding, agreements and identity.Lead, order, inventory and incentive workflows.Service, claims, knowledge and performance analytics. Multi-enterprise platforms get multi-enterprise controls. Identity, data segregation, approvals, audit trails and business continuity are design requirements, not add-ons. ### Answer Engine Optimization (AEO) Structure your expertise so search and AI answer engines can understand, retrieve and cite it, with honest measurement of what changes. When a buyer asks which platform integrates with their ERP, some company’s content becomes the answer. AEO is the discipline of making that content yours: clear questions, direct answers, structured data, evidence a machine can verify. How does AEO differ from traditional SEO? Visibility now depends on whether content is understandable, trustworthy, current and directly useful, not only on whether the page ranks. Answer engines extract passages, not pages. Content has to be written and structured so a 50-word excerpt stands on its own. What we deliver Answer-demand and citation-landscape analysis: what your buyers ask, who gets cited today.Content architecture: entity mapping, topic coverage, question-form structure.Answer-ready page templates and structured data.Monitoring, refresh and evidence workflows so answers stay current. Reporting distinguishes observed visibility from inferred opportunity. We will not dress a probabilistic system up as a guarantee. ### Agentforce Enterprise AI agents on the Salesforce platform, with grounded knowledge, scoped permissions and human escalation. Measured on real outcomes. Agentforce makes it easy to create an agent. Making one that is grounded in your data, allowed to do exactly the right things, and trusted by your service and sales teams: that is the actual project. That is the part we do. What does a production Agentforce use case need? More than a conversational interface. It needs grounded knowledge, defined topics and actions, permissions, escalation, evaluation and an owner. Agents that skip those steps get switched off within a quarter. What we deliver Use-case discovery and readiness assessment across service, sales and operations.Agent architecture: instructions, topics, actions and grounding design.Security, integration and human-handoff design.Evaluation, monitoring and an operating model your team can run. Human approval, least privilege and traceability are matched to task impact. We do not claim autonomy the platform cannot safely deliver. ### AI Agents Agents that understand context, use tools and finish the job: they look things up, update records, coordinate approvals and hand decisions to humans when judgment is needed. A chatbot answers questions. An agent completes work: it looks things up, updates records, coordinates approvals and knows when to hand a decision to a human. We build agents for the second category. Why do most agent pilots stall? Because conversation is the easy half. The hard half is giving an agent governed access to real systems like CRM, ERP, service and finance without creating new operational risk. That takes tool permissions, audit trails, escalation paths and evaluation, designed in from the start. What we deliver Customer, employee and operations agents grounded in your knowledge, not the open internet.Tool-using agents connected to the systems where work actually happens.Multi-agent workflows for jobs that need specialized steps or approvals.Human-in-the-loop controls, audit logs and dashboards your ops team can live in. Where agents earn their keep Sales research and CRM upkeep.Service resolution with real customer context.Operations coordination across approvals, documents and status checks.Employee copilots that answer policy questions and start real workflows. Every agent gets least-privilege access, explicit tool permissions and human escalation. We do not ship agents we cannot measure. ### AI Agents that complete real work, search that finds the right answer, voice and video systems in production. All grounded in your data, with humans in control. Most enterprise AI never makes it past the pilot. Not because the models are not good enough, but because the data is fragmented, nobody owns quality, and there is no safe way to let AI act. We build the whole thing: the agents, the data underneath them, and the controls that let you trust them in production. What makes AI actually stick in an enterprise? Three layers, built together: trusted data the AI can draw on, integration with the systems where work happens, and evaluation with human control so quality is measured rather than assumed. That is the work. The model is the easy part. How an engagement runs Discover: find the workflows where AI is worth the effort, and the ones where it is not.Design: data, models, tools, controls and the user experience, on paper before in code.Build: integrated with your CRM, ERP and the systems your teams already live in.Operate: measure quality, cost and adoption, and improve what production teaches us. Where we have already put this to work Mahindra Electric speaks through a single AI voice assistant across its whole SUV range. Surana Jewellers photographs a one of a kind catalogue automatically. Bajaj Pulsar turned an advertising budget into a creator platform. Invisalign turned one campaign film into personalised videos for doctors. Different practices, same underlying discipline. Starting from a long list of ideas? For leadership teams, we run focused AI strategy workshops that turn the list into a prioritized portfolio with owners and a realistic first move. We are model- and cloud-flexible, and we will tell you when a workflow does not need AI at all. ### Generative Engine Optimization (GEO) Build the entity signals, evidence and coverage that make AI systems recognize, trust and accurately represent your brand. Generative engines compose answers from everything they know about you: your site, third-party coverage, structured facts, and how consistently your name and claims appear across the web. GEO is the practice of making that whole picture accurate, credible and complete, so when AI describes your category, you are in the answer and described correctly. Why is page-level optimization not enough for generative visibility? Because generative systems weigh consistent entities, credible sources, topical coverage and off-site corroboration. Those signals live across your whole footprint, not on one page. Research on generative engines found quotable statements, statistics and cited sources measurably increase inclusion, while keyword stuffing decreases it. What we deliver Generative visibility baseline and competitor analysis.Entity, topic and evidence strategy.Content and digital-PR opportunity roadmap.Agent-assisted monitoring and refresh workflows. Generative results vary by model, prompt, location and time. Metrics are directional by nature, and we report them that way. ### Data 360 Connect, harmonize and activate enterprise data with Data 360, formerly Data Cloud: trusted context for journeys, service, analytics and AI agents. Data 360, formerly Data Cloud, is where the Salesforce AI story stands or falls. Every agent, journey and dashboard inherits the quality of the data underneath. We design Data 360 programs that connect fragmented sources, resolve identities and activate trusted context across the customer journey. Why do Data 360 projects fail without an activation plan? Because unified data has no value sitting in a lake. The architecture has to account for source quality, consent, identity, latency, and above all where the data gets used: segmentation, service context, next-best-action, agent grounding. What we deliver Use-case roadmap and target data architecture.Source connectivity, harmonization and identity resolution.Segments, calculated insights and activation patterns.Governance, consumption monitoring and cost control. Design choices account for residency, access, consent and lineage, plus platform consumption pricing, which we treat as an architectural constraint rather than a surprise on the invoice. ### MCP Servers & Enterprise Tooling One secure, governed doorway between AI applications and your data, tools and workflows, built on the open Model Context Protocol. Every AI tool your teams adopt wants access to your data. Point-to-point integrations multiply fast and audit badly. MCP, the open Model Context Protocol, gives you one governed layer instead: approved tools, clear permissions, full telemetry, reusable across every AI client you run today and the ones you will add next year. Why build an MCP layer instead of one-off integrations? Because the integration you build for one AI application is wasted when the next one arrives. An MCP server is built once and reused. Same tools, same permissions, same audit trail, regardless of which model or client is calling. What we deliver Remote MCP servers exposing approved resources, prompts and tools.Connectors for CRM, ERP, databases, document systems and internal APIs.Authentication, authorization, consent and tool-level policy enforcement.Versioning, testing, telemetry and the operational support to keep it healthy. An MCP server should never become an unrestricted gateway. Least privilege, scoped tools and complete telemetry are the default, not an upgrade. ### Salesforce Agentforce, Data 360 and the core clouds, delivered as business programs rather than installs. Connected to your systems, measured on outcomes. Most Salesforce estates are underused. Features bought, half-configured, worked around. We treat Salesforce as a business program: start from the outcome, design the architecture, deliver in measured releases, and connect the platform to the data and systems it actually depends on. What does a good Salesforce program look like? It connects use cases, dependencies, ownership and measurable outcomes, instead of becoming a list of product features. Data quality and integration come first, because every cloud on top inherits them. How an engagement runs Align on business priorities and constraints.Assess the current estate: architecture, adoption, debt.Prioritize by value, feasibility and dependency.Deliver in releases with governance and measurable outcomes. Implementation, then intelligence Once the platform is solid we layer AI on top of it rather than beside it. For Surana Jewellers we built jadau.com on Salesforce Commerce Cloud, with an AI product image workflow feeding the same catalogue. For Mahindra Electric, a voice assistant reads from the same customer record the service team sees. The intelligence sits inside the system, not bolted onto it. Also in our practice Salesforce advisory and roadmap work, Tableau analytics, Informatica data management, and Contentful with composable content. Delivered inside programs today, published as dedicated pages as the work deepens. We recommend what the platform can verifiably do, not what a keynote implied. ### E-Commerce Platforms B2C, B2B and marketplace commerce connected to real operations. Catalog, pricing, orders, payments and fulfillment working as one experience. A beautiful storefront with broken fulfillment is just a slower way to disappoint people. We build commerce platforms where experience, catalog, pricing, inventory, orders, payments and service operate as one system, because that is what customers judge you on. Proof: a 1735 jewellery house that sells like a modern commerce brand For Surana Jewellers we built jadau.com on Salesforce Commerce Cloud, selling heritage jewellery where every piece is genuinely one of a kind. We paired the build with an AI product image workflow so new stock reaches the store in days rather than weeks. Built for how buying works now A majority of shoppers already use an AI assistant somewhere in their buying journey. We structure every storefront so answer engines and AI shopping assistants can read it as easily as a customer can. As agents start shopping alongside people, that structure stops being optional. What we deliver Commerce strategy and journey design.Composable, headless and platform implementation.PIM, CMS, OMS, ERP, payment and tax integration.Performance, experimentation and operating support. Security, payments, privacy, accessibility, fraud and recovery are release criteria. We do not launch what we would not transact on ourselves. ### AI-Assisted Software Development Governed AI across discovery, engineering, testing and operations. Faster delivery with review, evidence and accountability intact. AI coding assistance is either a multiplier or a mess, and the difference is governance. We design AI-assisted development workflows for enterprise teams: approved tools, protected context, human review and measurable outcomes. Velocity goes up. Accountability does not go anywhere. Where does AI actually pay off in the software lifecycle? In bounded, verifiable work: requirements and acceptance criteria, code modernization, test generation, regression analysis, documentation, incident support. Uncontrolled assistance on unbounded work is where the quality and security risk lives. What we deliver AI SDLC strategy and use-case portfolio.Requirements, code, test and documentation agents.Secure developer workflows and system integrations.Evaluation, telemetry and operating governance. Source protection, IP handling, secure development and human approval are built into the workflow. We measure engineering outcomes, not lines of generated code. ### Technical SEO & Structured Data Crawlability, performance, information architecture and machine-readable meaning. The technical floor every visibility program stands on. Content cannot perform when the platform hides it. Enterprise sites, which tend to be big, multi-country and JavaScript-heavy, routinely bury their best content behind rendering issues, broken internal linking and missing structured data. We find and fix the foundation, working with your engineering team rather than around them. What we deliver Technical discovery and indexation audit.Information architecture and internal-link strategy.Structured data design and validation.Performance, migration and release QA. Where it gets used Large corporate and multi-country sites.Commerce catalogs and faceted navigation.Platform migrations and redesigns.JavaScript applications and composable architectures. Recommendations follow current search documentation. No manipulative markup, no tricks that trade next quarter’s rankings for a penalty. ### Service Cloud Service operations that resolve. Connected channels, knowledge, routing and AI assistance, designed as an operating model rather than a config project. Service transformation is an operating-model change wearing a software project’s clothes. We design Service Cloud around how your service actually runs: process, roles, data, knowledge, routing, escalation. Then we configure the platform to match, not the other way around. What we deliver Service operating-model and process design.Case, routing, knowledge and digital-channel configuration.Agent workspace, automation and integration.Reporting, quality, training and adoption. Where it gets used Customer care and case management.Partner, dealer and distributor service.Employee service operations.AI-assisted triage, summarization and resolution. Access, auditability, retention and human decision points are designed into the service process, especially where AI assistance is involved. ### AI Search & Knowledge Permission-aware search and retrieval that gives people and agents grounded answers from the knowledge your business already trusts. The answer usually exists. It is in a portal, a drive, a case system, someone’s inbox. What is missing is a way to find it, trust it and see where it came from. We build enterprise search and retrieval systems that do exactly that, for people and for AI agents alike. What makes enterprise AI search different from a chatbot with documents? Permissions and provenance. A real system respects who is allowed to see what, shows the source of every answer, and gets evaluated on whether answers are grounded and complete rather than just fluent. What we deliver Search and retrieval-augmented generation architectures built on your content.Ingestion pipelines: parsing, chunking, metadata and quality control.Permission-aware retrieval with citations and confidence signals.Search embedded where people work: web, portals, collaboration tools, agents. Where it gets used Support knowledge and case resolution.Policy and process search for employees.Sales enablement across proposals and prior work.Research over controlled document sets. We evaluate on whether answers are right and attributable, not on how confident they sound. ### Digital Marketing AI is changing how buyers find you. We make your expertise visible and accurately represented in search and AI answers: AEO, GEO and the technical foundation under both. Buyers increasingly ask AI, whether that is ChatGPT, Perplexity or Google AI Overviews, and act on the answer. If those systems cannot understand your content, cannot verify your claims, or cite your competitor instead, you are invisible at the exact moment of decision. We fix that, and we measure it honestly. What is the difference between SEO, AEO and GEO? SEO makes pages eligible to rank. AEO, answer engine optimization, makes your content extractable: structured so answer engines can quote it correctly. GEO, generative engine optimization, makes your brand citeable: the entity AI systems recognize, trust and reference. A modern program needs all three, on a sound technical foundation. How we run it Content operations here are agent-assisted. Research, drafting, refresh and monitoring run through governed AI workflows with expert review before anything publishes. It is how we practice what these pages preach: this site itself is built to be read by answer engines. What we will not promise No agency can guarantee inclusion or ranking in an external answer engine. What can be engineered: eligibility, extractability, entity consistency and honest measurement. ### Custom Software Engineering Product strategy, architecture and engineering for enterprise applications, platform modernization and digital products. Built to last, run and evolve. Workarounds calcify. The temporary portal becomes load-bearing. The interim integration turns five years old. We build software around the business capability itself, with product thinking, sound architecture and quality engineering, so the system that ships is one your teams can run, extend and still like in year three. What we deliver Product discovery and experience design.Cloud-native application and API engineering.Legacy modernization and platform integration.Quality engineering, DevSecOps and managed evolution. Where it gets used Customer and partner portals.Operational workflow applications.Data and analytics products.Legacy modernization and platform consolidation. Secure development, accessibility, privacy, resilience, observability and supportability are part of our definition of done, aligned to established practice like the NIST Secure Software Development Framework, as engineering rather than as a badge. ### AI Visibility Measurement Measure how your brand is found, represented and acted on across search and AI answers, connected to real business outcomes. You cannot manage AI visibility with a rank tracker. Generative answers vary by model, prompt, market and moment. Measurement here means sampled prompts, source analysis, representation quality, and a connection back to what actually happens on your site. We build that measurement system and the decisions on top of it. What we deliver Measurement framework and KPI design.Prompt, topic and market sampling.Citation, sentiment and representation analysis.Dashboards, alerts and a prioritized optimization backlog. What it informs Brand and category visibility tracking.Solution and product discoverability.Competitor and source intelligence.Content investment and refresh decisions. Reporting documents sampling limits, tool coverage and variability. Probabilistic outputs are never presented as complete market truth. ### Marketing Cloud Customer journeys with data, discipline and measurement. Modern campaign operations across the Salesforce marketing ecosystem. More automation does not create better engagement. Clearer goals do. We help marketing teams modernize journey orchestration, personalization and campaign operations on Salesforce, with consent and measurement treated as first-class design inputs. What we deliver Marketing capability and platform assessment.Journey, audience and personalization design.Campaign operations, templates and integrations.Analytics, testing and adoption enablement. Where it gets used Lifecycle and onboarding journeys.Retention, reactivation and loyalty.B2B nurture and account engagement.Consent-aware cross-channel communication. Consent, preference management, deliverability and accessibility are built into every program. Volume is not a KPI. ### Data & Governance for AI Connect and govern the data your AI depends on: access control, policy, evaluation and the evidence to operate AI responsibly. AI cannot compensate for fragmented, ungoverned data. And an enterprise cannot run AI it cannot control or measure. This practice covers both sides of that coin: making your data ready for AI, and putting policy, evaluation and evidence between AI and everything it touches. What does AI-ready data actually mean? Connected sources, resolved identities, governed access and current context, available where people and AI systems act. If your agents are grounded in stale or ungoverned data, everything downstream inherits the problem. What we deliver AI data strategy: source connectivity, identity resolution, modeling and activation design.Identity-aware access controls for users, agents, tools and data sources.Data classification, redaction, retention and sensitive-content policy. Enforced, not just documented.Evaluation, audit trails, release gates and incident workflows, so quality stays visible as models and prompts change. We align to established practice, including the NIST AI Risk Management Framework, as engineering rather than as a certificate. A successful pilot is not evidence of durable production quality. Measurement is. ### Enterprise Solutions Dealer platforms, digital commerce and custom software for operations too specific for off-the-shelf tools. Built to integrate with the systems you already run. Every enterprise has operations that do not map to a product you can buy. A dealer network with its own rules. Commerce entangled with legacy ERP. Workflows held together by spreadsheets and heroics. We design and build the platforms for exactly those parts, and we have done it for businesses with real complexity: see Mahindra Electric and Surana Jewellers in our work. How an engagement runs Frame outcomes, users and constraints, before architecture.Define the platform and integration architecture.Build and demonstrate in short releases, not big reveals.Operate with telemetry, support and continuous improvement. Also in our practice Supply-chain visibility and enterprise automation, delivered inside platform programs today and published as dedicated pages when the depth and proof justify them. What we will not sell you Rip-and-replace as a strategy. We integrate with the ERP, CRM and finance systems you already run, and replace only what genuinely needs replacing. ### Commerce Cloud B2C and B2B commerce that integrates catalog, pricing, orders, payments and service. Reliable revenue platforms, not just storefronts. The storefront is the visible tenth of commerce. Underneath sit catalog, pricing, inventory, orders, payments, fulfillment and service. We build Commerce Cloud programs where all of it works as one experience, because that is what customers judge you on. Proof from a catalogue that never sits still For Surana Jewellers we built jadau.com on Salesforce Commerce Cloud to sell heritage jewellery where every piece is genuinely one of a kind. The platform holds up even when the catalogue refuses to sit still. What we deliver Commerce strategy and architecture.B2C and B2B experience implementation.Catalog, pricing, promotion and checkout workflows.ERP, OMS, PIM, CMS, payment and service integration. Security, payment scope, privacy, accessibility, performance and resilience are release requirements, not a hardening phase. ### Voice & WhatsApp AI Voice and WhatsApp AI that resolves real customer and employee requests, integrated with your systems, with human handoff built in. Your customers are already calling and already on WhatsApp. We build AI for both channels that goes past answering. It understands intent, pulls real context, completes approved actions, and transfers to a person with the conversation intact. What separates a useful voice agent from a convincing demo? Resolution. A production agent needs accurate knowledge, real workflow integration, predictable escalation and ongoing quality review. The goal is a closed ticket, a booked appointment, a solved problem. Not a natural-sounding dead end. What we built for Mahindra and Surana Jewellers For Mahindra Electric we built a voice chatbot that holds real conversations about range, charging and features across the whole SUV lineup, answering around the clock. For Surana Jewellers we brought back the feel of a personal jeweller: a voice assistant that helps visitors discover pieces and understand the craft behind them, in the moment they ask. What we deliver Inbound and outbound voice agents for defined customer and employee workflows.WhatsApp Business Platform journeys: service, sales and operational support with consent handling and approved templates.CRM, contact-center, scheduling and payment integration.Human handoff, transcripts, quality review and operational analytics. Clear AI disclosure, consent-aware recording and human escalation are designed in per workflow and jurisdiction, not bolted on. ### MuleSoft Integration API-led integration connecting Salesforce with ERP, data, commerce and operational systems. Reusable, governed, observable. Every point-to-point integration is a small loan against your architecture. Enough of them, and the interest eats every project that follows. We use API-led patterns on MuleSoft to build integration your enterprise reuses: clear contracts, ownership, monitoring, lifecycle. What we deliver Integration strategy and API portfolio.System, process and experience API design.Implementation, security, testing and deployment.Observability, reuse governance and operational support. Where it gets used Customer and order integration.ERP and finance connectivity.Partner and dealer ecosystems.Event-driven workflows and data synchronization. Least privilege, secrets management, error handling, auditability and recovery patterns are built into every interface. ### AI Video Governed AI video systems for campaigns, personalization and localization, with brand rules and review built into the workflow. AI can generate video in minutes. Generating video your brand team will approve, at scale, in every language you sell in: that is a system, not a prompt. We build the system. Templates, brand controls, review workflow and publishing, with generation inside it. What we built for Pulsar Underground For Bajaj Pulsar we built a stunt video generator that drops a rider into styles like Manga and Urban Samurai on demand. In its first six weeks the platform drew over two thousand creator entries, nearly two thousand of them made with the AI toolkit itself. How do you scale video without losing brand control? Treat it as a creative system: defined inputs, approved styles, rights-aware assets, human review before publish. The platform should make your team faster without making your brand negotiable. What we deliver Custom video-generation workflows and reusable creative templates.Brand, product, character, language and format controls.Automated variants: personalization, localization, channel adaptation.Review, approval, provenance and publishing integration. Human approval before publishing, rights-aware inputs, provenance where supported. Performance claims only ever come from approved case-study evidence, like the personalised doctor videos we built for Invisalign. ### AI Image & Content On-brand product imagery and content at catalog scale. AI generation wrapped in templates, review and commerce integration. As catalogs and channels grow, content operations become the bottleneck. Product imagery, campaign assets, channel copy, localization, multiplied by every SKU and market. We build AI-powered content workflows that shorten the cycle while keeping brand, facts and rights under control. What we built for Surana Jewellers Surana sells jadau jewellery where every piece is unique and the catalogue never stops changing. We built an AI product image workflow that photographs each piece consistently at scale, removing the bottleneck that had held the business back from moving as fast as a modern commerce brand. Where does AI actually help in content production? In the workflow around generation, not generation alone: connected product data, brand vocabulary, restricted-claim controls, human review and publishing into your CMS or commerce stack. That is what turns a capability into capacity. What we deliver Product-image cleanup, staging, background and format workflows.Structured product, campaign and channel copy generation.Brand style, product-fact and restricted-claim controls.Human review, asset management, localization and CMS or commerce integration. Generated content stays subject to factual, legal, brand and rights review. Nothing publishes automatically. ### AI Avatars Lifelike AI presenters that give your brand a face and a voice, with no camera crew and no reshoots. A consistent face for your brand, at any hour of the night An AI avatar can present a product explainer, answer a customer in a store window, or record a hundred personalised outreach videos before lunch, all without booking a studio. Where avatars earn trust, and where they do not Consistency matters more than novelty here. A brand that keeps the same presenter style builds recognition, one that changes it constantly dilutes it. We are transparent with audiences about what they are watching, because that honesty is what keeps an avatar useful rather than uncanny. How we build them We design a presenter once, matched to a brand voice and look, then reuse it across languages, markets and formats, the same discipline behind the voice work we do for clients like Mahindra and Surana Jewellers. ## Our work ### A 1735 jewellery house that sells like a modern commerce brand Client: Surana Jewellers · Luxury Jewellery, Ecommerce We brought a centuries old jewellery house online with a Salesforce Commerce Cloud store and an AI studio that photographs its craft at scale. Metrics: SFCC Built on Salesforce Commerce Cloud; Gemini Automated product image workflow; 1735 Heritage house, modern storefront The challenge: Jadau is heritage jewellery, kundan and polki work that Surana has perfected in Jaipur since 1735. Selling that online is genuinely hard. Every piece is one of a kind, the catalogue turns over constantly, and photographing each ornament the way it deserves is slow and expensive. Customers also expect the guidance they would get inside the showroom, a knowledgeable hand to walk them through the craft, not a silent grid of products. The solution: We built jadau.com on Salesforce Commerce Cloud, a storefront engineered for a large, fast moving luxury catalogue. Then we solved the bottleneck that holds most jewellers back. We created an AI product image workflow, powered by Google Gemini, that turns raw shots of each piece into clean, consistent, on brand imagery ready for the store, automatically. To bring back the feeling of a personal jeweller, we added a voice chatbot that helps visitors discover pieces, understand the craftsmanship and get answers in the moment. The results: A house with three centuries of history now moves at the speed of a modern commerce brand. New collections reach the store faster because the imagery makes itself, the catalogue stays visually consistent, and every visitor meets a guide from the first tap. ### A digital home for Mahindra Electric, built to be found by AI Client: Mahindra · Automotive, Electric Vehicles We built the digital home for Mahindra’s electric SUV range and taught it to be found by the new generation of AI search. Metrics: 5 Electric SUV models on one platform; 24/7 AI voice assistant, always answering; AEO + GEO Engineered for answer and generative engines The challenge: Mahindra was launching a bold electric future, the XEV and BE families, into a market that had quietly changed how it shops. Buyers no longer begin on a search bar. They ask an assistant. They open a chatbot. They expect an answer in their own words, in their own language, at any hour of the night. A conventional brochure website would have looked handsome and stayed invisible to exactly the audience Mahindra needed to win. The range deserved a home that machines could read as clearly as people could. The solution: We designed and built mahindraelectricsuv.com as the flagship destination for the lineup, from the XEV 9e and XEV 9S to the BE 6. Every model page, every specification, every charging story was structured so that answer engines and generative assistants could read it, quote it and recommend it. This is the core of our answer engine and generative engine optimisation practice. On top of the site we layered Mahindra’s own intelligence. A voice chatbot holds real conversations about range, charging and features. Automation tools keep content, enquiries and test drive bookings moving without manual effort. Google Gemini powers the language and reasoning behind all of it. The results: The range now speaks with one authoritative digital voice that both people and machines trust. Shoppers explore every model, book a test drive and get instant answers around the clock. When a buyer asks an assistant which electric SUV to consider, Mahindra is in the answer. ### One campaign film, made personal for every doctor Client: Invisalign · Healthcare, AI Video With Lakshya Lalwani at the centre, we used AI to turn one Invisalign campaign film into personalised videos for doctors without repeating the production work for every message. Metrics: 1:1 Doctor-specific campaign messages; AI Video variations generated at campaign scale; Hours Saved across repetitive production work The challenge: A message from a familiar face earns attention. A message that addresses a doctor personally earns more of it. The production problem is scale: recording, reviewing and exporting a separate film for every recipient turns a simple campaign into hours of repetitive work. Invisalign needed the warmth of a direct message from Lakshya Lalwani without asking the actor, production crew and campaign team to repeat the same process for every doctor on the outreach list. The solution: We designed an AI video workflow around one approved performance. The campaign team could supply each doctor’s details, and the system generated a finished variation in which the spoken message felt specific to that recipient while the performance, Invisalign identity and campaign direction stayed consistent. The workflow separated what should never change from what needed to change every time. The approved film remained the creative source of truth; names and message details became structured inputs; automated generation and rendering handled the repetitive production layer. The team could review campaign-ready outputs instead of rebuilding each edit by hand. The results: Invisalign could send doctors a message that felt individual without turning personalisation into a production bottleneck. Hours of repeated recording and editing became a scalable workflow, giving the campaign team more time to focus on the audience, approvals and rollout. ### Turning Pulsar from an advertiser into a creative platform Client: Bajaj Pulsar · Automotive, Creator Marketing We reframed Pulsar as a creative collaborator, a six week AI powered contest that let Gen Z make the campaign instead of watching it. Metrics: 2,200+ Creator entries in six weeks; 1,900+ Entries made with the AI toolkit; 5 Creative challenge tracks The challenge: More than eight in ten young Indians see themselves as creators, and they reward the brands that hand them tools rather than ads. Pulsar wanted to matter to that audience, but a broadcast campaign would only have talked at them. The brief was to become a cultural engine, an always on place where fans create, share and compete, with the motorcycle woven naturally into everything they make. The solution: We built Pulsar Underground, a mobile first microsite that turns the bike into a creative partner. Creators pick a challenge across music, dance, art, style and stunts, then build their entry three ways: fully automated AI generation, a hybrid mode with AI assistance, or a manual upload for complete control. The AI toolkit, powered by Google Gemini, includes a stunt video generator that drops the rider into styles like Manga and Urban Samurai, an album cover generator, and a mashup engine that blends cultural influences into branded visuals. A live leaderboard and Instagram integration turn every entry into shareable proof, and cloud based prompt libraries let us refresh styles without shipping new code. The results: In its first six weeks Pulsar Underground drew 2,200 creator entries, 1,900 of them made with the AI toolkit. Pulsar walked away with a frictionless, always on creator engine instead of a campaign with an expiry date. ## Use cases ### Alan's Arena Gen Z fifa campaign ### Invisalign Doctor Stories AI-personalised doctor video campaign ### Pulsar Underground Six week creator riding contest ## Careers ### AI Developer Technology / Artificial Intelligence · Noida-Hybrid · Full-time Job Description: AI Developer Position: AI DeveloperDepartment: Technology / Artificial IntelligenceEmployment Type: Full-TimeExperience: 1–3 YearsLocation: Noida-HybridBudget: 8 LPA + based on experience About the RoleWe are looking for a talented and motivated AI Developer to join our technology team and build intelligent, AI-powered applications. The ideal candidate should have strong programming skills and practical experience with Artificial Intelligence, Machine Learning, Generative AI, Large Language Models (LLMs), and AI APIs. You will be responsible for developing, integrating, testing, and improving AI solutions that solve real-world business problems. Key Responsibilities: Design, develop, and deploy AI-powered applications and features.Work with Generative AI, LLMs, NLP, AI agents, and Machine Learning technologies.Integrate LLMs and third-party AI APIs into software applications.Develop AI workflows using prompt engineering, RAG, embeddings, vector databases, and tool/function calling.Build and maintain APIs and backend services for AI applications.Develop efficient data processing and AI pipelines.Evaluate AI model performance, accuracy, reliability, and response quality.Fine-tune prompts and AI workflows to improve model performance.Implement testing and monitoring mechanisms for AI applications.Collaborate with software developers, product managers, and other stakeholders.Research and evaluate emerging AI technologies, models, and frameworks.Write clean, scalable, well-documented, and maintainable code.Troubleshoot and optimize AI applications for performance, reliability, and cost.Participate in the complete software development lifecycle, from requirement analysis to deployment and maintenance. Required Skills Strong proficiency in Python.Solid understanding of Artificial Intelligence and Machine Learning concepts.Practical knowledge of Generative AI and Large Language Models (LLMs).Experience working with AI/ML APIs and SDKs.Understanding of REST APIs, JSON, and backend development.Knowledge of prompt engineering and AI application development.Understanding of databases and data handling.Familiarity with Git/GitHub and software development best practices.Strong analytical and problem-solving skills.Ability to independently research, experiment, and learn new technologies. Good to Have Experience with OpenAI, Gemini, Claude, Hugging Face, or similar AI platforms.Experience with LangChain, LlamaIndex, LangGraph, or similar frameworks.Experience building RAG-based applications.Knowledge of vector databases such as Pinecone, FAISS, Chroma, Weaviate, or Qdrant.Experience with FastAPI, Flask, or Django.Knowledge of PyTorch, TensorFlow, or Scikit-learn.Experience with AI agents and function/tool calling.Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.Understanding of Docker and CI/CD pipelines.Experience deploying AI applications in production.Knowledge of SQL and NoSQL databases. Education Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, or a related field.Candidates with strong practical AI projects and relevant development experience are encouraged to apply. What We Offer Opportunity to work on real-world AI and Generative AI projects.Hands-on experience with the latest AI and LLM technologies.Collaborative and learning-focused work environment.Opportunity to work closely with experienced AI and software professionals.Exposure to the complete AI product development lifecycle.Opportunities for professional growth and career advancement.Competitive compensation based on skills and experience. send resume at hr@digiiq.com   ### AEO/GEO Expert Marketing · Noida, India · Full-time Get our clients found, quoted and recommended by AI search and generative assistants. Search has changed. Buyers now ask an assistant before they open a search bar. We help brands win that moment, and we are looking for someone who lives and breathes answer engine and generative engine optimisation. You will own AEO and GEO strategy across client engagements: structuring content and data so AI search reads it, trusts it and recommends it, shaping schema and entities, and measuring how often our clients show up in AI answers. You will work closely with our engineering and content teams to turn strategy into shipped changes. You are a fit if you understand modern search deeply, from technical SEO and structured data to how large language models retrieve and cite sources. You are comfortable with data, curious about a fast changing field, and able to explain your thinking to clients. ### AI Developer Trainee Technology / Artificial Intelligence · Noida-Hybrid · Full-time Job Description: AI Developer Trainee Position: AI Developer TraineeDepartment: Technology / Artificial IntelligenceEmployment Type: Full-TimeExperience: Fresher / 0–1 YearStipend: 15,000- 18,000Location: Noida- HybridDuration: 6 months About the RoleWe are looking for a motivated and enthusiastic AI Developer Trainee to join our technology team. The ideal candidate will have a strong interest in Artificial Intelligence, Machine Learning, Generative AI, and software development. As an AI Developer Trainee, you will work closely with experienced developers and AI engineers to build, test, integrate, and deploy AI-powered applications while gaining hands-on experience with modern AI technologies. Key Responsibilities Assist in developing and implementing AI/ML-based applications and solutions.Work with Generative AI, Large Language Models (LLMs), NLP, and AI APIs.Develop and integrate AI features into web or software applications.Write clean, efficient, and maintainable code, primarily using Python.Work with APIs, databases, data processing pipelines, and third-party AI services.Assist in prompt engineering, evaluation, and optimization of AI outputs.Experiment with AI models, frameworks, and emerging technologies.Perform testing, debugging, and troubleshooting of AI applications.Collaborate with developers, product teams, and other stakeholders.Maintain technical documentation and contribute to project reports.Continuously learn and stay updated with developments in AI and Generative AI. Required Skills Good understanding of Python programming.Basic knowledge of Artificial Intelligence and Machine Learning concepts.Familiarity with Generative AI and LLMs is preferred.Understanding of APIs, JSON, and basic software development concepts.Basic knowledge of databases such as SQL/MySQL/PostgreSQL is an advantage.Familiarity with Git/GitHub and version control.Strong problem-solving and analytical skills.Good communication and teamwork skills.Willingness to learn new technologies quickly. Good to Have Experience with OpenAI, Gemini, Claude, Hugging Face, or similar AI APIs/platforms.Knowledge of frameworks such as LangChain, LlamaIndex, FastAPI, Flask, or Streamlit.Basic understanding of Machine Learning libraries such as Scikit-learn, PyTorch, or TensorFlow.Knowledge of prompt engineering, RAG, embeddings, vector databases, or AI agents.Academic projects, internships, GitHub projects, or certifications related to AI/ML. Education Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, or a related field.Fresh graduates with strong programming skills and a genuine interest in AI are encouraged to apply. What We Offer Hands-on experience working on real-world AI projects.Mentorship from experienced AI and software professionals.Opportunity to work with modern Generative AI and LLM technologies.Structured learning and professional development.Exposure to the complete AI application development lifecycle.Opportunity for career growth in AI/ML and software engineering. Ideal CandidateWe are looking for someone who is curious, proactive, analytical, and passionate about building with AI. You don't need to know everything on day one — a strong foundation in programming, willingness to experiment, and eagerness to learn are highly valued.Send resume at hr@digiiq.com ### Agentforce Developer Technology/Salesforce · Noida · Full-time About the Role  We are looking for an experienced Agentforce Developer to design, develop, configure, and implement AI-powered solutions on the Salesforce platform. The ideal candidate will have strong hands-on experience with Salesforce Agentforce, Data Cloud, Apex, Lightning, Flows, and integrations, with a solid understanding of CRM and enterprise AI use cases.  You will work closely with business stakeholders, Salesforce architects, administrators, and development teams to build secure, scalable, and intelligent Agentforce solutions that improve customer and employee experiences.  Key Responsibilities  Design, develop, configure, and deploy Salesforce Agentforce solutions for business use cases. Build and customize AI agents, topics, actions, instructions, and workflows. Configure Agentforce Data Libraries, grounding, prompts, and AI-driven experiences. Develop custom Agentforce actions using Apex, Flow, REST APIs, and Salesforce automation. Integrate Agentforce with Salesforce and external enterprise systems. Work with Salesforce Data Cloud to support data grounding, personalization, and AI use cases. Develop and optimize Prompt Templates / Prompt Builder solutions. Build Lightning Web Components (LWC), Apex classes, triggers, and support Salesforce functionality where required. Implement appropriate security, access controls, data protection, and governance for AI solutions. Troubleshoot, test, debug, and optimize Agentforce implementations. Collaborate with Salesforce Architects and business teams to translate requirements into scalable technical solutions. Participate in code reviews, deployment activities, documentation, and production support. Stay current with Salesforce AI, Agentforce, Data Cloud, and platform capabilities.  Required Skills & Experience  1+ years of hands-on Salesforce development experience. Hands-on experience with Salesforce Agentforce and/or Salesforce AI capabilities. Strong knowledge of Apex, SOQL, Salesforce Flows, Lightning Web Components (LWC), and Salesforce APIs. Experience with Prompt Builder / Prompt Templates and generative AI use cases. Understanding of Salesforce Data Cloud and AI grounding concepts. Experience designing and implementing Salesforce integrations using REST/SOAP APIs or middleware. Strong understanding of Salesforce security, sharing, profiles, permission sets, and data access. Experience with Salesforce deployment tools such as SFDX, Git, CI/CD, or DevOps Center. Good understanding of software development lifecycle, testing, debugging, and release management. Strong analytical, problem-solving, and communication skills.  Preferred Qualifications  Salesforce certifications such as Agentforce Specialist, Platform Developer I/II, AI Associate, Administrator, or Data Cloud Consultant. Experience implementing enterprise AI agents, chatbots, virtual assistants, or conversational AI solutions. Knowledge of Salesforce Service Cloud, Sales Cloud, Experience Cloud, or industry-specific Salesforce solutions. Experience with MuleSoft or other integration platforms. Familiarity with AI concepts including LLMs, grounding, retrieval-augmented generation (RAG), prompt engineering, and responsible AI. Experience working in Agile/Scrum environments.  Key Competencies  Agentforce Development & Configuration Salesforce Development Generative AI & Prompt Engineering Data Cloud & Data Grounding Apex / LWC / Flow API & System Integration Salesforce Security & Governance Problem Solving Stakeholder Collaboration Technical Documentation  What We Offer  Opportunity to work on cutting-edge Salesforce AI and Agentforce projects. Exposure to enterprise-scale CRM and AI implementations. Professional development and Salesforce certification opportunities. Collaborative and innovative work environment. Competitive compensation and benefits.  ### Business Analyst Noida- Hybrid · Full-time Job Description: Business Analyst Job Title: Business AnalystExperience: 1+ YearsLocation: NoidaSalary:Employment Type: Full-timeCompany: DigiIQ IT Solution Pvt. Ltd.Website: digiiq.com Job Summary We are seeking a detail-oriented and analytical Business Analyst with 1+ years of experience to bridge the gap between business needs and technology solutions. The ideal candidate will gather and analyse business requirements, collaborate with cross-functional teams, and support the successful delivery of projects that enhance business processes and customer experience. Key Responsibilities Gather, analyse, and document business and functional requirements.Collaborate with stakeholders to understand business objectives and translate them into actionable requirements.Prepare Business Requirement Documents (BRD), Functional Requirement Documents (FRD), user stories, and process flow diagrams.Conduct requirement workshops, stakeholder meetings, and gap analysis.Work closely with Product Managers, Developers, QA teams, and business users throughout the project lifecycle.Support solution design, UAT planning, and defect resolution.Analyse business processes and recommend improvements to enhance efficiency.Create reports, dashboards, and presentations for stakeholders.Ensure project documentation is accurate, complete, and up to date.Assist in change management and user training activities when required. Required Skills Strong analytical and problem-solving skills.Excellent verbal and written communication skills.Experience in requirement gathering and documentation.Knowledge of SDLC, Agile, and Scrum methodologies.Proficiency in Microsoft Excel, Word, PowerPoint, and Visio.Experience with tools such as Jira, Confluence, Azure DevOps, or similar project management platforms.Basic understanding of SQL for data analysis is preferred.Ability to work collaboratively with cross-functional teams. Qualifications Bachelor's degree in Business Administration, Information Technology, Computer Science, or a related field.2+ years of experience as a Business Analyst or in a similar role.Certification such as CBAP, ECBA, CCBA, or Agile/Scrum is an added advantage. Preferred Attributes Strong stakeholder management skills.Ability to prioritize tasks and manage multiple projects simultaneously.Detail-oriented with excellent organizational skills.Proactive mindset with a continuous improvement approach. What We Offer Competitive salary and benefits.Opportunities for learning and professional growth.Collaborative and innovative work environment.Exposure to diverse business and technology projects.   Apply Now: hr@digiiq.com ### Business Development Executive- US Market Sales · Noida · Full-time Job Description: Business Development Executive – US Market 1. Job Snapshot Role Title: Business Development Executive – US Market Experience Range: 3 to 5 years Employment Type: Full-time Salary: ₹50,000/month Location: Noida (Hybrid) Shift Timing: 2:00 PM – 11:00 PM (aligned with US time zones) Joining: Immediate joiners preferred 2. About Digiiq Digiiq is a boutique technology consulting firm focused on Salesforce, AI-led business solutions, and digital transformation services. Headquartered in India and supported by a US entity, Digiiq is expanding its footprint in the US market and is looking for an energetic sales professional to support outbound business development efforts. 3. Role Objective The Business Development Executive will support the US sales team in identifying, qualifying, and nurturing business opportunities in the US market. This role is ideal for someone with a hunter mindset, strong communication skills, and the drive to build a career in US IT services sales. 4. Key Responsibilities Identify and reach out to prospective customers across US mid-market and enterprise segments for AI solutions, application development, and digital transformation services.Run outbound prospecting campaigns via LinkedIn Sales Navigator, email outreach, cold calling, and CRM databases.Qualify leads and schedule discovery calls/demos for the senior sales team.Maintain and update CRM records, track outreach activity, and follow up consistently with prospects.Support the BDM/Sales Head with proposal coordination and pipeline reporting. 5. Required Experience and Skills 0–3 years of experience in business development, inside sales, or lead generation (freshers with excellent English communication may apply).Willingness to work in US shift timings (2:00 PM – 11:00 PM).Strong written and verbal communication skills.Comfort with outbound prospecting tools like LinkedIn, email campaigns, and cold calling.Basic understanding of IT services, SaaS, or digital transformation is a plus. 6. Preferred Candidate Profile Immediate joiners strongly preferred.Based in or willing to work hybrid from Noida.Energetic, target-driven, and eager to grow into a full-fledged sales role. Send resume- hr@digiiq.com ### Full-Stack Developer Engineering · Noida, India · Full-time Build the web platforms, AI tools and automations behind our client work. We build websites, commerce platforms, AI tools and automations for brands people know. As a Full Stack Developer you will work across the stack to bring these to life, from the data layer to the interface, often with AI woven through. You will ship features end to end on projects like AI creator platforms, answer engine optimised sites and voice assistants, working in a small team where you own real problems. Our stack leans on modern TypeScript, React and Next.js, Node, and Google Cloud, with Google Gemini powering the AI. You are a fit if you are comfortable across frontend and backend, write clean and maintainable code, and enjoy moving fast without breaking the things that matter. Experience with Next.js, TypeScript or cloud platforms is a strong plus. ### QA Lead Engineering · Noida, India · Full-time Own quality across our commerce, Salesforce and AI builds, and grow the testing culture behind them. As our QA Lead you will own quality across everything we ship, from Salesforce Commerce Cloud storefronts to AI powered engagement platforms. You will define how we test, set up the tooling and processes, and lead a team to catch issues before our clients ever see them. You will build and maintain automated and manual coverage, own release sign off, and work with engineers from the start of each project so quality is designed in rather than bolted on. You will also help us test AI driven features, where correctness is more nuanced than pass or fail. You are a fit if you have led QA on complex web or commerce projects, are strong with test automation, and have the judgement to know what to test and how deeply. You raise the bar for everyone around you. ### QA Trainee Technology / Quality Assurance · Noida-Hybrid · Full-time Job Description: QA Trainee Position: QA TraineeDepartment: Technology / Quality AssuranceEmployment Type: Full-TimeExperience: Fresher / 0–1 YearLocation: Noida-HybridStipend: 12,000- 15,000 per month About the RoleWe are looking for a motivated and detail-oriented QA Trainee to join our technology team. The ideal candidate will have a strong interest in software testing, quality assurance, and application development. As a QA Trainee, you will work closely with experienced QA engineers, developers, and product teams to test software applications, identify defects, and help ensure the delivery of reliable, high-quality products. Key Responsibilities Assist in testing web, mobile, and software applications.Understand project requirements and prepare test scenarios and test cases.Perform functional, regression, integration, and exploratory testing.Identify, document, and track software bugs using appropriate bug-tracking tools.Reproduce issues and provide clear information to developers for resolution.Execute test cases and maintain accurate testing documentation.Perform retesting and regression testing after bugs are fixed.Collaborate with developers, product managers, and other stakeholders to resolve issues.Assist in validating new features and product enhancements.Participate in test planning and contribute to improving QA processes.Learn and apply software testing best practices and methodologies.Continuously improve knowledge of QA tools, automation, and modern testing techniques. Required Skills Basic understanding of Software Testing and Quality Assurance concepts.Understanding of SDLC and STLC is preferred.Good analytical and problem-solving skills.Basic knowledge of test case creation and bug reporting.Familiarity with web applications and basic understanding of browsers and APIs.Basic knowledge of SQL/database concepts is an advantage.Familiarity with tools such as Jira, Postman, or similar testing/bug-tracking tools is preferred.Basic understanding of Git/GitHub is an advantage.Good communication and teamwork skills.Strong attention to detail and willingness to learn. Good to Have Knowledge of API testing using Postman.Basic knowledge of SQL queries and database testing.Familiarity with automation testing concepts.Exposure to Selenium, Playwright, Cypress, or similar automation tools.Basic programming knowledge in Python, Java, JavaScript, or any other programming language.Academic projects, internships, certifications, or practical experience related to software testing. Education Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.Fresh graduates with a strong interest in software testing and quality assurance are encouraged to apply. What We Offer Hands-on experience working on real-world software projects.Mentorship from experienced QA and software professionals.Exposure to the complete software testing and development lifecycle.Opportunity to learn manual and automation testing.Structured learning and professional development.Opportunity for career growth in QA, Software Testing, and Automation Testing. Ideal Candidate We are looking for someone who is curious, detail-oriented, analytical, and passionate about software quality. You don't need to know everything on day one — a strong understanding of basic testing concepts, attention to detail, willingness to learn, and a proactive approach are highly valued. Send resume at hr@digiiq.com ### SFCC Technical Architect Engineering · Noida, India · Full-time Own the architecture behind our Salesforce Commerce Cloud builds, from data model to storefront performance. We build commerce experiences on Salesforce Commerce Cloud for brands with large, fast moving catalogues. As our SFCC Technical Architect you will own the technical direction of these builds end to end, from the data model and integrations to storefront performance and the release process. You will lead solution design, set the standards our engineers work to, review code and pair with clients to turn business goals into a robust, scalable commerce platform. You will also help us fold AI into the commerce stack, from automated product imagery to smarter merchandising. You are a fit if you have deep hands on experience with SFCC across SFRA and headless, a strong grasp of ecommerce fundamentals, and a track record of shipping and maintaining production storefronts at scale. You communicate clearly, mentor generously and care about the details that make a store fast and reliable. ### Salesforce Developer Engineering · Noida, India · Full-time Design, build and extend Salesforce so our clients' sales, service and data work as one. We help businesses get the most out of Salesforce, from implementation to deep customisation. As a Salesforce Developer you will design, build and extend solutions that connect our clients sales, service and customer data into one system that actually works. You will build with Apex, Lightning Web Components and flows, integrate Salesforce with other platforms, and increasingly bring AI into the CRM through automation and agents. You will work directly with clients to understand their process and translate it into reliable, well tested solutions. You are a fit if you have solid hands on Salesforce development experience across Sales and Service Cloud, know your way around Apex and LWC, and hold or are working toward relevant certifications. You value maintainable solutions over quick hacks. ### Scrum Master / Project Manager Mumbai- Kandivali · Full-time Job Description: Scrum Master / Project Manager Role: Scrum Master / Project ManagerEmployment Type: Full-TimeLocation: Kandivali East, Mumbai (Work from Office- Monday to Friday)Experience: 5–8 YearsRelevant Experience: 3–5 Years as Scrum Master / Agile Project LeadTravel Requirement: Candidates should be able to commute to the office within a maximum travel time of 60 minutes. Role OverviewWe are looking for an experienced and hands-on Scrum Master / Project Manager to drive and support Agile delivery across one or more cross-functional teams. The role will focus on enabling effective Agile execution, facilitating collaboration across Product, Engineering, QA, and Business teams, and ensuring projects are delivered on time and with the expected quality. The ideal candidate will be delivery-oriented, proactive, and capable of identifying and resolving challenges while continuously improving team processes and performance. Key Responsibilities Facilitate Agile/Scrum ceremonies, including Sprint Planning, Daily Stand-ups, Backlog Refinement, Sprint Reviews, and Retrospectives.Support one or more Agile teams in delivering committed outcomes within agreed timelines and quality standards.Work closely with Product Owners to ensure the product backlog is well-groomed, prioritized, and aligned with business objectives.Track sprint progress, project milestones, dependencies, risks, and issues, and proactively drive their resolution.Identify and remove impediments that may impact team productivity or delivery.Ensure adherence to Agile and Scrum principles while applying a pragmatic approach based on project and organizational needs.Support release planning and coordinate cross-team dependencies where required.Monitor and report Agile delivery metrics, including velocity, burn-down/burn-up charts, cycle time, and sprint performance.Drive continuous improvement through effective retrospectives, team coaching, and actionable feedback.Facilitate clear and effective communication between Engineering, QA, Product, Business, and other stakeholders.Proactively communicate project status, risks, dependencies, and potential delivery challenges to relevant stakeholders.Maintain accurate project and delivery documentation using tools such as Jira and Confluence.Support project planning, prioritization, resource coordination, and delivery tracking as required.Ensure timely escalation of critical risks and issues to the appropriate stakeholders.Contribute to building a collaborative, transparent, and high-performing Agile team culture. Required Experience & Skills 5–8 years of overall experience in a software delivery environment, with a strong understanding of the Software Development Life Cycle (SDLC).3–5 years of hands-on experience as a Scrum Master, Agile Project Lead, or Project Manager in an Agile environment.Prior experience working as a Developer, QA Engineer, Business Analyst, or similar technical role is preferred.Strong practical understanding of Agile and Scrum methodologies.Basic understanding of SAFe or other scaled Agile frameworks is preferred.Working knowledge of Agile engineering practices, including user stories, estimation, acceptance criteria, CI/CD awareness, and release planning.Strong experience in facilitating Agile ceremonies and managing cross-functional teams.Excellent communication, facilitation, stakeholder management, and conflict-resolution skills.Hands-on experience with Jira, Confluence, or similar Agile project management tools.Strong ability to manage multiple priorities, dependencies, and competing deadlines.Proactive approach to identifying risks, resolving impediments, and ensuring delivery commitments.Ability to work independently with minimal supervision while collaborating effectively with multiple stakeholders. Preferred Qualifications Scrum Master certification such as CSM, PSM, or PMI-ACP is a plus.Experience working with distributed or geographically diverse teams is an advantage.Experience in software product development or technology-driven organizations is preferred. Ideal Candidate The ideal candidate is a hands-on, delivery-focused Agile professional who can effectively balance team facilitation, project execution, stakeholder management, and continuous improvement. You should be comfortable working in a fast-paced environment, managing multiple priorities, proactively addressing delivery challenges, and ensuring strong collaboration between technical and business teams. Send resume at hr@digiiq.com ## Company DigiIQ was founded by Akshay Kumar Meena, Co-Founder and CEO, who brings nearly 18 years in enterprise technology. An IIT Delhi alumnus and former CTO of VML at WPP, he founded DigiIQ to close the gap between how fast brands need to move and how fast their technology allows them to.