S

Sprinklr

AI-powered CXM platform for enterprises

Senior Implementation Consultant - Contact Center as a Service

Full-Time
No salary listed
Mid, Senior, Expert
Noida, Uttar Pradesh, India+1 moreMore locations: Bengaluru, Karnataka, India
In PersonResidency in India required; no relocation details provided.
Solution EngineeringImplementation & Technical Account Management

About the job

Requirements
  • 3+ years of experience in deploying Voice and Non-Voice Contact Center applications such as Genesys Engage, Amazon Connect, Cisco Webex Contact Center, RingCentral, or similar platforms.
  • Proven track record in leading complex implementation projects, preferably in CCaaS, UCaaS, or CPaaS environments.
  • Deep understanding of voice technologies, protocols (TCP/IP, VOIP, SIP, RTP, WebRTC), and contact center infrastructure (ACD, IVR, CTI, Dialer, SBC).
  • Proficiency in platform configuration, system architecture, API integrations, and VoIP troubleshooting tools (e.g., Wireshark).
  • Experience integrating with CRMs like Salesforce Service Cloud and other customer engagement platforms.
  • Development experience with Groovy, JavaScript, and/or scripting for integrations is a plus.
  • Ability to manage multiple complex projects in a fast-paced, dynamic environment.
  • Business proficiency in English is mandatory.
Responsibilities
  • Manage end-to-end implementation of Sprinklr's CCaaS solutions for complex enterprise clients across diverse industries, ensuring scalability, performance, and long-term value.
  • Define implementation strategy and solution architecture aligned with customer goals, industry standards, and best practices.
  • Mentor and guide junior consultants, promoting excellence in configuration, client communication, and delivery methodologies.
  • Own customer engagements as the primary senior point of contact, driving platform adoption, customer satisfaction, and solution alignment.
  • Proactively identify potential risks, technical challenges, and optimization opportunities, implementing solutions that preempt issues and maximize client ROI.
  • Conduct advanced health checks and audits for key customers; design remediation and enhancement plans to improve platform performance and adoption.
  • Lead client discovery workshops, requirement gathering sessions, and strategic planning for roadmap alignment and value realization.
  • Drive stakeholder alignment across product, engineering, and customer success teams to ensure seamless implementation and post-go-live support.
  • Deliver expert-level consultation on Sprinklr capabilities, integrations, and CCaaS best practices.
  • Establish trusted advisor relationships with customer champions and executive stakeholders.

About the company

Sprinklr provides an AI-powered customer experience management platform designed for large enterprises and government agencies. Its platform collects data from social media and other digital channels, analyzes it in real time, and surfaces actionable insights to improve customer service, track online reputation, and guide marketing decisions. The product suite includes analytics, customer care, and reputation management, offered in tiered subscription plans to fit different organizational needs. By operating on a subscription model and serving diverse industries such as retail, technology, finance, and the public sector, Sprinklr aims to help organizations understand and engage with their audiences more effectively and consistently.

Company Size

5,001-10,000

Company Stage

IPO

Headquarters

New York City, New York

Founded

2009

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Simplify's Take

What believers are saying

  • September 2, 2026 revenue rose 1% to $213.7 million; subscription revenue grew 3%.
  • Net ARR grew over 50% year over year, with four $1 million deals.
  • August 17, 2026 board appointee Jordi Ribas brings Microsoft's Copilot and AI execution.

What critics are saying

  • February 2025 layoffs cut 12% of workforce, proving growth stalled before 2026.
  • Q2 fiscal 2027 total revenue grew 1%; services revenue fell to $18.9 million.
  • Adobe, Salesforce, and Genesys bundle CXM and AI, compressing Sprinklr seat demand by 2027.

What makes Sprinklr unique

  • Unified-CXM unifies social, service, marketing, and insights inside one enterprise platform.
  • As of January 31, 2026, Sprinklr served 1,677 customers, including 59% of Fortune 100.
  • July 15, 2026 MCP beta exposes Sprinklr data inside Copilot, ChatGPT, and Claude.

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Benefits

  • Compensation & Equity
  • Health & Wellness
  • Holiday & Unlimited PTO
  • Learning & Growth

Growth & Insights and Company News

Headcount

6 month growth

-16%

1 year growth

-16%

2 year growth

-17%
MarTech360
Oct 16th, 2026
Sprinklr names Adam Cooper as VP, Global Field Operations.

Sprinklr names Adam Cooper as VP, Global Field Operations. Sprinklr has named Adam Cooper as Vice President of Global Field Operations, adding an experienced revenue operations professional to its leadership team. In his new position, Cooper is expected to focus on strengthening global sales execution, improving forecasting processes, and aligning go-to-market operations across regions. The role involves translating global revenue strategies into consistent field execution while improving pipeline visibility, sales productivity, and operational discipline. Global field operations plays an important role in helping enterprise software companies coordinate sales teams, manage revenue targets, and maintain consistency across markets. As businesses face increasing pressure to demonstrate predictable growth, effective forecasting and pipeline management have become important priorities for revenue and go-to-market leaders. Cooper's appointment comes as Sprinklr continues to operate across marketing, social media management, customer service, and customer insights. Its unified customer experience management platform serves enterprise organizations seeking to connect customer-facing teams and improve interactions across channels. In this environment, aligning sales execution with broader business objectives is particularly relevant as organizations look to improve operational efficiency and build more consistent customer engagement strategies. Cooper's responsibilities are expected to span global field execution and collaboration with revenue operations and regional leadership teams. His work will be central to ensuring that sales processes, performance measurement, and operational priorities remain aligned across markets. The appointment reflects the continued importance of revenue operations leadership within enterprise technology companies, where coordinated execution and reliable forecasting are essential to supporting growth.

Renascence
Sep 21st, 2026
Sprinklr shifts contact-centre AI focus to assurance.

Sprinklr shifts contact-centre AI focus to assurance. Sprinklr's 2026 update to Sprinklr Service introduces Autonomous Evaluation, testing AI agents before launch and monitoring them continuously in live customer interactions rather than only explaining past decisions. What happened. Sprinklr has rolled out a set of 2026 updates to Sprinklr Service that reframe how contact centres validate their AI agents, moving the emphasis from explaining AI decisions after the fact to assuring their performance before and after they go live. Central to this shift is Sprinklr Autonomous Evaluation, a capability designed to test AI agents against defined standards ahead of deployment and continue monitoring them once they are handling live customer interactions. The update signals a broader change in how the contact centre industry is approaching AI agent governance. Rather than relying solely on transparency about how an AI model arrived at a decision, Sprinklr's approach focuses on systematic verification of outcomes - checking that AI agents behave as intended, both in pre-launch testing and through ongoing performance checks once deployed. Why it matters. As more contact centres hand customer conversations to AI agents, the question shifts from "can we understand what the AI did?" to "can we trust what the AI will do next time?". Explainability has been the industry's default governance language for several years, but it stops short of answering whether an AI agent is reliable enough for autonomous deployment at scale. Assurance mechanisms - built-in testing before launch and continuous evaluation after - address that gap directly, giving operations leaders a more practical basis for expanding AI agents' scope of responsibility. For digital transformation and CX leaders, this matters because it lowers one of the biggest barriers to scaling AI in service: confidence. Governance tooling that verifies performance continuously, rather than only auditing decisions retrospectively, makes it easier to justify moving AI agents from pilot into production, and to expand what those agents are trusted to handle. The renascence take. The language shift from "explainability" to "assurance" is not just branding - it reflects an industry finally admitting that understanding an AI decision and trusting an AI system are two different problems, and only one of them scales. Most organisations have spent the last two years asking vendors to explain their AI, as if a clear rationale were the same as reliable behaviour. It isn't. Explainability is a compliance comfort; assurance is an operating discipline - it means testing the agent the way you'd test a new hire before giving them a headset, then watching their live calls afterwards. The behavioral principle underneath is simple: customers don't forgive an AI agent because its logic was transparent, they forgive it because it consistently gets things right. Operators should stop asking vendors "can you explain this?" and start asking "how do you continuously prove this works?" - and insist on seeing the pre-deployment test results, not just the post-incident report. This briefing was written by its Newsdesk, synthesising reporting from the outlets below. Follow the links for the original coverage. Questions Renascence get on this topic. It's a new Sprinklr Service capability that tests AI agents against defined standards before they go live and continues monitoring their performance once they are handling real customer interactions. More in Customer Service Stay ahead of CX Get the signal, not the noise. The stories shaping customer experience - plus the Journal and Experience Loom - in your inbox.

Sprinklr
Sep 19th, 2026
Sprinklr

Sprinklr has raised $200 million at a $2.7 billion valuation that we’ll use to double-down on the value we’re creating for customers.

Yahoo Finance
Sep 9th, 2026
Sprinklr reports 3% subscription revenue growth to $195M, adds former Microsoft AI exec to board

Sprinklr reported second-quarter revenue of $213.7 million, up 1% year-over-year, with subscription revenue growing 3% to $194.8 million. The customer experience management platform delivered $31.3 million in non-GAAP operating income, representing a 15% operating margin. The company's net annual recurring revenue (NAR) grew over 50% year-over-year, with four deals worth more than $1 million closed during the quarter. Renewal rates improved and completed sales transactions increased 30% year-over-year. Total remaining performance obligations reached $1.03 billion, up 11% annually. Sprinklr secured significant customer expansions, including a five-year agreement worth over $20 million with a major sports betting company and a $4 million expansion with a financial software provider. The company has over 200 AI engagements underway. For the third quarter, Sprinklr expects total revenue between $215 million and $216 million, with subscription revenue of $196 million to $197 million, representing 3% growth.

AdTechEdge
Aug 20th, 2026
Emplifi named Leader in 2026 Social Media Management Data Quadrant.

Emplifi named Leader in 2026 Social Media Management Data Quadrant. Social media management platforms are increasingly becoming broader customer-experience systems as brands attempt to connect social listening, engagement, analytics, commerce and customer care. Emplifi is positioning itself within that shift after being named a Leader in Info-Tech Research Group's 2026 Social Media Management Data Quadrant, based on verified customer feedback. The recognition adds another analyst accolade to Emplifi's recent market momentum, following its inclusion as a Leader in the 2026 Gartner Magic Quadrant for Social Media Management and Listening. More importantly, the two recognitions point to a wider change in enterprise social technology: brands are moving away from isolated publishing tools toward platforms designed to connect customer signals with downstream actions. Emplifi has been named a Leader in Info-Tech Research Group's 2026 Social Media Management Data Quadrant, with the ranking based on verified user feedback collected through Info-Tech's SoftwareReviews platform. The company also received 11 Top Rated Feature awards and 11 Top Rated Capability awards, according to Emplifi, highlighting areas where customers reported strong satisfaction with its social media management platform. Unlike analyst reports based primarily on vendor briefings or product evaluations, Info-Tech's Data Quadrant incorporates feedback from IT and business professionals who use the software. The methodology evaluates both product experience and the broader relationship between customers and software providers. That makes customer feedback particularly relevant in a category where enterprise buyers are increasingly evaluating platforms on more than publishing and scheduling. Social media management has changed substantially over the past decade. What began largely as a workflow for scheduling posts and monitoring mentions has expanded into a broader technology category encompassing social listening, analytics, customer engagement, influencer marketing, commerce and service interactions. Emplifi is attempting to push that evolution further with its Autonomous CX strategy. The company's platform combines social media management, listening, engagement and analytics with AI capabilities designed to help organizations turn customer signals into coordinated actions across marketing, commerce and customer care. That strategy puts Emplifi into competition with a broad group of enterprise MarTech providers, including Sprinklr, Hootsuite, Salesforce, Adobe and Sprout Social. Each takes a somewhat different approach to connecting social media data with customer experience and marketing workflows. The competitive distinction increasingly comes down to how much of that workflow can be unified. For large brands, social data rarely exists in isolation. A customer complaint can begin on Instagram, turn into a customer-service case, influence a marketing response and eventually affect a purchase decision. When those signals remain trapped inside separate systems, teams can lose context and duplicate work. Emplifi's Fuel and Fuel AI offerings are designed around reducing those silos. The company describes the approach as an operating model in which AI helps teams interpret customer signals and recommend or coordinate actions across business functions. That is a notable shift from simply adding generative AI to a social publishing interface. The more consequential opportunity for enterprise MarTech platforms is using AI to connect customer intent, content, engagement and operational decision-making. Instead of asking an AI system to write a social post, marketers increasingly want technology that can identify emerging customer sentiment, determine which issues require attention and help coordinate the appropriate response. That shift also introduces governance challenges. Autonomous or semi-autonomous systems operating across customer-facing functions need clear permissions, data controls and accountability. A social media assistant that generates copy is one thing; an AI system capable of triggering actions across marketing, commerce and customer care carries considerably greater operational risk. Emplifi's positioning around "governed" AI reflects that distinction. The company's CMO, Susan Ganeshan, said the platform is focused on helping organizations make decisions with context and connect customer signals across the lifecycle as AI changes how brands interact with consumers. For enterprise marketing teams, the broader lesson is that social media management is becoming less about channel execution and more about customer intelligence infrastructure. The market is moving in that direction across the major MarTech ecosystem. Salesforce has integrated AI into CRM and customer engagement workflows through its Agentforce platform, while Adobe has expanded AI capabilities across Experience Cloud. Sprinklr has similarly positioned its unified customer experience platform around AI-powered engagement across customer-facing channels. Against that backdrop, analyst recognition can help Emplifi establish credibility with enterprise buyers, but awards alone will not determine platform adoption. The more important question is whether organizations can translate social data into measurable business outcomes without creating another layer of technology complexity. That is where customer feedback becomes significant. The SoftwareReviews recognition indicates that Emplifi's users report positive experiences across specific features and capabilities. For enterprise buyers, however, evaluation will still need to extend into integration, data governance, AI controls, workflow interoperability, analytics depth and total cost of ownership. The recognition nevertheless reinforces the changing role of social platforms inside the enterprise. Social channels are no longer merely destinations for branded content. They are increasingly sources of real-time customer intelligence. The technology challenge is connecting that intelligence to the rest of the customer journey. Emplifi's Autonomous CX strategy is an attempt to make that connection the center of its platform. Market landscape. Enterprise social media management is converging with customer experience management, AI marketing and customer data infrastructure. Traditional platforms focused on publishing, scheduling and basic engagement. Modern enterprise systems increasingly combine those functions with social listening, sentiment analysis, analytics, customer care, commerce and AI-assisted decision-making. The rise of generative and agentic AI is accelerating the transition. Platforms from Salesforce, Adobe, Sprinklr, Hootsuite, Sprout Social and Emplifi are increasingly competing on how effectively they can transform large volumes of customer signals into actionable workflows. The biggest opportunity lies in breaking down organizational silos. Marketing teams may own social publishing, customer service may manage complaints and commerce teams may own purchase journeys, but customers experience those interactions as one relationship with a brand. AI can potentially connect those signals, but only when underlying data, permissions and workflows are integrated. For enterprise buyers, that makes AI governance, interoperability and measurable customer outcomes as important as the number of social networks a platform supports. Top insights. * Emplifi was named a Leader in Info-Tech's 2026 Social Media Management Data Quadrant, based on verified feedback from software users. * The company also received 11 Top Rated Feature and 11 Top Rated Capability awards, reinforcing customer satisfaction across its social management platform. * Emplifi is positioning Autonomous CX as an evolution beyond social publishing toward AI-assisted customer engagement across marketing, commerce and care. * The recognition arrives after Emplifi was also named a Leader in Gartner's 2026 Social Media Management and Listening Magic Quadrant. * Enterprise social platforms are increasingly competing on AI, customer intelligence, workflow integration and governance rather than publishing and scheduling alone.