11+ Customer Success Jobs in Coimbatore | Customer Success Job openings in Coimbatore
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Your Responsibilities
what you will wake up to solve.
- Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
- Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
- Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
- Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
- Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
- Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
- The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
- Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.
Functional Skills
1. Scaling Intelligent Workforce through Delivery Excellence
- Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
- Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
- Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
- Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
- Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.
2. Technical Oversight & Execution Charter
- Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
- Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
- End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
- Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.
Tech Superpowers
- Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
- Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
- Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
- Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.
Experience & Relevance
- A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
- Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
- Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
- Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
- Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.
Bonus Points (you will thrive if you have)
- Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
- Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
- AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
- Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
- Ethical Compass: Strong commitment to responsible AI practices.
- Engineer at Heart: Background in product development or engineering before moving into architecture.
Why you’ll love being a ‘Searcian’
NOT your ‘usual’ management consultancy; we ‘solve differently’.
- We are happier. No really happier’: A vibrant, inclusive, and supportive work environment. We even have a dedicated role for ‘Better Living’.
- The Company You Keep (Says Everything): solvers. engineers. tinkerers. improvers. futurists operating across 12 countries.
- No room for CAVEers (Constantly Against Virtually Everything people). Instead, we make room for a meditation room in our offices.
- No bloat: 27 people meeting with 23 clueless people. Not happening here. We also don't do the meetings to plan for pre-meetings.
- No bureaucracy. Zero entropy. Real decision-making velocity: We’re large enough to solve the world’s most complex business challenges, yet small and agile enough to value individual humans. With us, you’re a name, not an employee ID number lost in a sea of 37,000 people where it takes a year just to decide ‘who will decide’.
- Ideas over Hierarchy: We reject HiPPOs (Highest Paid Person’s Opinion). The most well-reasoned ideas win - regardless of whose name is on them. That dangerous phrase, "We’ve always done it this way," dies here.
- Own-the-outcome: The buck stops with you. Doesn’t matter if you are an intern. (Psst: A ‘real intern’ actually drafted this JD.)
- Expert ‘wholesome generalists’, Not ‘one-nut-tighteners’. At Searce, you see the whole picture — how the car is designed, built, and driven — not just how to tighten the third nut on a red 1962 Ford Falcon owned by Vinny’s cousin. Real impact comes from knowing why that nut matters to the person behind the wheel.
- You ‘do stuff’ that matters. Not just “follow up on the deck we shared.”
- Gain more years in your Searce-perience: We operate at a 3.65x experience velocity—yes, we measured it. (and charted it to the scale too)
Join the ‘real solvers’
ready to futurify?
If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.
We’re seeking a detail-oriented Data Analyst with proven experience in corporate settings to transform raw data into actionable insights. You’ll collaborate across departments to support strategic decision-making, optimize operations, and enhance business performance through data-driven analysis.
Join the KGISL Micro college Team as a Social Media Content Creator!
Are you bursting with creative energy, a flair for storytelling, and a sharp eye for design? We're seeking a dynamic Social Media Content Creator to craft compelling narratives and generate brand buzz across digital platforms.
What You'll Be Doing:
- Develop original and engaging scripts for Reels, videos, and social media posts
- Strategize and produce content tailored for Instagram, LinkedIn, YouTube, and Facebook
- Collaborate closely with designers to visually bring your ideas to life
- Keep your finger on the pulse of digital trends to create content that’s fresh, relevant, and share-worthy
Technical Proficiency: In-depth knowledge of specific technical domains relevant to the industry, such as programming languages, software applications, or machinery.
Instructional Design Expertise: Ability to develop structured training programs that cater to various learning styles and effectively convey complex information.
Communication Skills::Strong verbal and written communication skills to explain technical concepts clearly and concisely.
Analytical Abilities: Skill in evaluating training outcomes and identifying areas for improvement.
UI / UX Designer for Industrial IOT Product.
User-centered design principles: Deep understanding of user needs and behaviors.
Information architecture: Organizing and structuring content for optimal user experience.
Interaction design: Creating intuitive and engaging user flows and interactions.
Wireframing & Prototyping: Creating low and high-fidelity prototypes to test and iterate designs.
Analytics & data analysis: Using data to inform design decisions and measure design effectiveness.
Visual design principles: Typography, color theory, layout, and visual hierarchy.
UI design tools: Figma, Sketch, Adobe XD, etc.
Responsive design: Designing interfaces that adapt seamlessly to various screen sizes.
Accessibility standards: WCAG guidelines for creating inclusive designs.
Front-end development basics: HTML, CSS, and JavaScript for understanding technical feasibility.
Software & Tools:
Design software: Figma, Sketch, Adobe Creative Suite (Photoshop, Illustrator), InVision, etc.
Prototyping tools: Figma, Adobe XD, InVision Studio, Axure, etc.
Collaboration tools: Jira, Confluence, Slack, etc.
Version control: Git or similar for managing design files.
Soft Skills:
Communication: Clearly articulating design decisions and presenting ideas to stakeholders.
Collaboration: Working effectively with cross-functional teams (developers, product managers, marketers).
Problem-solving: Identifying user pain points and developing creative solutions.
Critical thinking: Analyzing user data and feedback to make informed design decisions.
Mentorship: Guiding and supporting junior designers.
Time management: Handling multiple projects and meeting deadlines.
Adaptability: Staying current with design trends and emerging technologies.
Beyond the Basics:
Domain expertise: Industrial IOT is a plus
We are looking for "IT Services sales and Marketing" for Reputed Client @ Permanent Role.
Experience: 4 to 6 years
Key Responsibilities:
- Research and analyze market trends, competitor offerings, and customer requirements to
identify opportunities for the company's IT services.
- Develop comprehensive sales and marketing strategies that effectively position the IT
services, taking into account target audience segmentation and key value propositions.
- Set clear sales and marketing objectives and key performance indicators (KPIs) to measure
the success of marketing campaigns.
- Develop and execute sales strategies to meet or exceed revenue targets for IT services.
- Create compelling and informative content to promote IT services, including website copy,
blog posts, case studies, whitepapers, and email campaigns.
- Collaborate with the design team to create visually appealing marketing collateral, such as
brochures, infographics, and presentations.
- Conduct market research and develop lead generation strategies and campaigns to attract
potential clients and convert them into qualified leads.
- Analyze marketing data, customer feedback, and campaign results to continually refine
marketing strategies.
- Manage the sales pipeline, track progress, and update sales forecasts regularly.
- Collaborate with business and development teams to ensure effective communication and
alignment of marketing efforts with sales objectives.
- Build and maintain relationships with strategic partners and industry influencers to extend
the reach of sales and marketing efforts.
Qualifications and Skills:
- Bachelor's degree in marketing, Business, or a related field.
- Proven experience in IT services sales and marketing or a similar B2B environment with
international service agencies.
- Strong understanding of the IT industry, including cloud services, managed IT solutions,
etc.
- Strong sales and negotiation skills with a track record of achieving sales targets.
- Excellent written and verbal communication skills.
- Proficiency in digital marketing tools and platforms, including Google Analytics, social
media management, and email marketing.
- Analytical mindset with the ability to interpret data and generate actionable insights.
- Creative thinking and the ability to develop innovative sales and marketing strategies.
- Analytical mindset with the ability to interpret sales data and market trends.
- Strong project management and organizational skills.
- Collaborative team player with the ability to work effectively across departments.
- Familiarity with CRM software and marketing automation tools is a plus.
- Knowledge of relevant compliance and regulatory requirements in IT services sales and
marketing
Location : Coimbatore
Domain Skills
Leads a team of Engineers for designing and architecting next generation platform solutions for clusters/Interior monitoring systems
Architecting the design for new features and technologies for Platform.
Expertise in programming using C, C++ and good understanding of OOAD & UML
Capable of analyzing HW schematics to realize the SW requirements.
Support and resolve issue resolutions and clarification for cross-functional teams.
Support team lead and project manager at program level in resolving open issues
Technical Skills
Expertise in memory management (eMMC, NAND)
Design, Develop and test device drivers in Linux/Android/QNX platform.
Multithreaded programming, usage of IPCs, Interrupts & synchronization methods.
Expertise in using the communication protocols (I2C, SPI & UART) in the device driver.
Expertise in handling Device Tree based configurations.
Strong C & C++ programming skills, OOPS concepts
Linux Architecture knowhow
Strong in software development for real-time embedded systems
Experienced in Design/Architecture Tools like EA
Expertise in SCM Tools like GIT/GERRIT
Ability to create and review changes for Gerrit and participate in a continuous integration loop
Ability to create/understand the build infranstructure using CMake for the middleware components
Experience in Unit test tools like cppunit, gtest.
Know-how and experience of SAFe/Agile Development
Knowledge in Automotive Safety Standards and Processes (ASPICE).
Logical, Analytical and Debugging/Problem-Solving skills
Qualifications
B.E/B.Tech in Computer Science with hands on with Embedded software development on RTOS
Requirements
-
Overall 2-8 years of software development experience in building web-based and highly scalable applications
-
Excellent understanding of core computer science concepts like algorithms, data structure, system design, OOP, etc.
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Deep knowledge and development expertise in Core Java and SpringBoot or other equivalent frameworks
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Strong experience in HTML5 and CSS3 and should have basic experience in JS technologies
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Good knowledge of database concepts, having SQL writing experience, and familiarity with at least one of the relational databases
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Worked in a CI/CD environment with Jenkins
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Experience working in an agile team with software engineering practices like automated testing, test-driven development, continuous integration, etc is a big plus.
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Ability to quickly learn and evaluate new technologies and work effectively in a fast-paced, dynamic environment
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Strong oral and written communication.
We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company.
We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics.
Critical thinking and problem-solving skills are essential for interpreting data.
We also want to see a passion for machine-learning and research.
Your goal will be to help our company analyze trends to make better decisions.
Responsibilities:
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
Requirements:
- Proven experience as a Data Scientist or Data Analyst
- Experience in data mining
- Understanding of machine-learning and operations research
- Knowledge of SQL,Python,R,ggplot2, matplotlib, seaborn, Shiny, Dash; familiarity with Scala, Java or C++ is an asset
- Experience using business intelligence tools (e.g. Tableau) and data frameworks
- Analytical mind and business acumen
- Strong math skills in statistics, algebra
- Problem-solving aptitude
- Excellent communication and presentation skills
- BSc/BE in Computer Science, Engineering or relevant field;
- graduate degree in Data Science or other quantitative field is preferred





