HR Manager

Role & Responsibilities

Own the user experience for Dentsu's AI-powered agentic tools and client-facing data products. This is a senior design role responsible for making complex multi-agent systems, Genie spaces, and automated workflows feel simple and intuitive for media teams and clients who are not technical. You will work at the intersection of AI capability and human usability, designing the interfaces that turn powerful backend intelligence into tools people actually want to use.

Key Responsibilities-

• Lead end-to-end design for agentic AI products: from discovery and user research through wireframes, prototypes, and production-ready specs
• Design intuitive interfaces for multi-agent systems that serve media planners, analysts, and clients with varying levels of technical sophistication
• Create UX flows for Genie spaces, conversational data exploration, and automated reporting dashboards that surface insights without requiring SQL or code
• Develop and maintain a design system for the Decisioning practice's AI product suite, ensuring visual and interaction consistency across all tools
• Conduct user research with internal media teams and client stakeholders to identify pain points, map workflows, and validate design decisions
• Design transparency and trust patterns for AI-driven experiences: how users understand what the system did, why, and how to correct it
• Prototype and test interaction models for agent-to-human handoff, error recovery, and multi-step automated workflows
• Collaborate closely with AI engineers and data scientists to ensure designs are technically feasible and ship at high fidelity
• Design onboarding flows and training materials that accelerate adoption of new AI tools across agencies
• Create client-facing presentation materials, demos, and visual assets that communicate tool capabilities and business value

Ideal Candidate

• Strong Agentic AI & Data Product Designer Profile
• Mandatory (Experience 1): Must have 6+ years of total experience in design, with 5+ years in Product Design for data-heavy or complex digital products — enterprise dashboards, analytics tools, workflow platforms, or similar complex environments — with shipped work at scale.
• Mandatory (Experience 2): Must have 6 months+ experience designing for AI/ML-powered products like gen ai features, agentic ai related features, AI automation tools etc
• Mandatory (Skill 1): Must have demonstrated expertise in complex workflow design, data visualization, and enterprise UX at scale — designing interfaces that surface insights and enable non-technical users to navigate powerful backend systems
• Mandatory (Skill 2): Must have strong understanding of design systems and component-based design methodology, with experience building, contributing to, or maintaining systems that ensure visual and interaction consistency across a product suite
• Mandatory (Skill 3 ): Must have the ability to design transparency and trust patterns for AI-driven experiences — including how users understand what the system did, why, and how to correct it; plus interaction models for agent-to-human handoff, error recovery, and multi-step automated workflows
• Mandatory (Tools): Must have deep proficiency in Figma, including component libraries, auto-layout, and interactive prototyping
• Mandatory (Stakeholder Mgmt & Communication): Must have excellent communication skills for presenting design rationale to engineering, product, and business stakeholders
• Mandatory (Portfolio): Must have a strong portfolio demonstrating complex workflow design, data visualization work, and ideally AI/agentic or conversational interface projects.
• Preferred (AI Interaction Design): Experience specifically designing chatbot, copilot, or agent-based interaction patterns
• Preferred (Industry): Experience in media, advertising, or marketing technology industries

REVIEW CRITERIA:

MANDATORY:

• Strong Manager – Customer Success, Account management Profile
• Must have 6+ years of overall experience with at least 4+ Years in Customer Success role
• Must have 1+ years of experience in AdTech industry
• Must have experience managing clients in the outside India market (Preferably US/America clients)
• Must have cross-functional experience working closely with Sales, Product, and Ad Operations teams for campaign execution, performance optimization, and client delivery.
• Must have strong technical understanding of digital advertising / programmatic platforms/software products
• B2B SaaS (AdTech experience is highly preferred)

PREFERRED:

• B.E/B.Tech (IT/CSE/ECE) with MBA preferred
• Exposure to pre-sales activities, including product demos, onboarding, and performance review presentations.
• Experience in analyzing data-driven advertising performance metrics and building optimization strategies.

ROLE & RESPONSIBILITIES:

As an Associate Manager - Customer Success, you are someone who comes with 6 to 8 years of Account Management/Business Development/ problem solving / hustling experience ina high growth internet startup/ technology company. As a technically savvy and results-driven Customer Success Manager, your primary focus will be driving revenue growth, reducing churn, enhancing product value, and supporting pre-sales activities. The ideal candidate should possess excellent relationship-building skills, a strong technical background, and a drive for achieving results.

• Serve as the primary point of contact and trusted advisor for assigned clients, ensuring exceptional customer service and satisfaction.
• Proactively engage with clients to understand their business objectives, monetization goals, and challenges, and provide strategic recommendations to achieve optimal results.
• Collaborate closely with internal teams, including Sales, Product, and Operations, to coordinate seamless onboarding, implementation, and ongoing support for clients.
• Conduct regular performance reviews and analysis of client monetization stack, identifying areas for improvement and developing optimization strategies.
• Monitor key performance metrics and provide timely reports and insights to clients, highlighting advertising performance, trends, and opportunities for growth.
• Deliver product demos and educate clients on best practices, new features, and industry trends to maximize their utilization and success with our platform solutions.
• Resolve client inquiries, concerns, and issues promptly and effectively, escalating to the appropriate teams when necessary.
• Support pre-sales activities, including conducting product demonstrations, presenting technical information, and addressing client inquiries and concerns.
• Stay up to date with industry trends, competitive landscape, and emerging technologies in the ad tech space to provide valuable insights and recommendations to clients.

IDEAL CANDIDATE:

• 6-8 years of experience in the internet/technology industry (mandatory)
• B.E / B.Tech(IT / CSE / ECE) along with an MBA degree (highly preferred)
• Excellent relationship-building skills with the ability to establish trust, foster positive business relationships and credibility with clients.
• Strong technical background with a solid understanding of software products and the ability to quickly grasp new technologies.
• Accountability and personal organisation are essential
• Experience in managing a diverse group and training each according to company standards
• Strong problem-solving and analytical skills with a focus on results and driving revenue growth.
• Outstanding communication and presentation skills, with the ability to convey complex concepts in a clear and concise manner.
• Self-motivated and proactive mindset with the ability to work independently and as part of a team.
• Experience in the tech industry or a related field is highly desirable.

PERKS, BENEFITS AND WORK CULTURE:

• Flexible work hours and leaves
• Salary advance
• Maternity/Paternity leave benefits & adoption assistance
• Butler & Concierge services
• Team Off-sites & Celebrations

BEYOND WORK:

• Insurance benefits for you and family
• Interest-free loans
• Gift vouchers for special moments
• Fully-equipped Gym
• Education Sponsorship Programs

iOS Engineer – AI Platforms & Immersive Experiences

Company: Jio Reality Labs

Location: Navi Mumbai, India

Job Type: Full-Time

Job Summary

Jio Reality Labs is looking for a skilled iOS Engineer to build high-performance, scalable mobile

applications for AI-driven, real-time, and immersive platforms used by millions of users. This role

focuses on creating intuitive, responsive, and visually rich iOS experiences for AI/ML dashboards,

real-time analytics, and AR/VR-enabled applications.

Responsibilities

1. Mobile Application Development

 Build and maintain scalable, high-performance iOS applications using modern development

frameworks and tools.

 Develop intuitive user interfaces for AI/ML workflows, real-time analytics dashboards, and

enterprise tools.

 Translate product requirements and UX designs into clean, maintainable, and reusable code.

2. Real-Time & Data-Driven Interfaces

 Implement real-time UI updates for streaming data, live metrics, and system monitoring

dashboards.

 Work with APIs and WebSockets to render low-latency, data-intensive views.

 Ensure smooth user experience under high-traffic and high-data-volume scenarios.

3. UI/UX & Performance Optimization

 Optimize mobile application performance for speed, responsiveness, and scalability.

 Ensure compatibility across iOS devices, screen sizes, and OS versions.

 Collaborate closely with designers to deliver polished, immersive user experiences.

4. Platform & Architecture

 Design mobile architecture that supports modularity, scalability, and long-term

maintainability.

 Implement state management, reusable components, and modular libraries to support

complex applications.

 Contribute to mobile development standards, best practices, and reusable design systems.

5. Collaboration & Delivery

 Work closely with backend, AI/ML, data engineering, and platform teams to integrate APIs

and workflows.

 Participate in code reviews, sprint planning, and technical design discussions.

 Support CI/CD pipelines and production deployments.

Required Skills & Qualifications

 Strong experience in iOS development using Swift (preferred) or Objective-C.

 Hands-on experience with UIKit and/or SwiftUI, and modern iOS architecture patterns

(MVVM/MVC).

 Solid understanding of mobile UI principles, Auto Layout, and responsive design.

 Experience consuming REST APIs and working with real-time data (WebSockets, streaming).

 Familiarity with performance optimization techniques and debugging tools (Instruments,

Xcode tools).

Preferred Skills

 Experience building dashboards or data-intensive mobile applications.

 Familiarity with data visualization frameworks.

 Exposure to AR/VR or graphics-intensive interfaces (ARKit, RealityKit, Metal).

 Experience with design systems, component libraries, and accessibility standards.

 Understanding of cloud-based deployments and CI/CD workflows.

Job Description – Data Science  

Basic Qualification:

• ME/MS from premier institute with a background in Mechanical/Industrial/Chemical/Materials engineering.
• Strong Analytical skills and application of Statistical techniques to problem solving
• Expertise in algorithms, data structures and performance optimization techniques
• Proven track record of demonstrating end to end ownership involving taking an idea from incubator to market
•   Minimum years of experience in data analysis (2+), statistical analysis, data mining, algorithms for optimization.

Responsibilities

The Data Engineer/Analyst will

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  
• Clear interaction with Business teams including product planning, sales, marketing, finance for defining the projects, objectives.
  
• Mine and analyze data from company databases to drive optimization and improvement of product and process development, marketing techniques and business strategies
  
• Coordinate with different R&D and Business teams to implement models and monitor outcomes.
  
• Mentor team members towards developing quick solutions for business impact.
  
• Skilled at all stages of the analysis process including defining key business questions, recommending measures, data sources, methodology and study design, dataset creation, analysis execution, interpretation and presentation and publication of results.
  

• 4+ years’ experience in MNC environment with projects involving ML, DL and/or DS
  
• Experience in Machine Learning, Data Mining or Machine Intelligence (Artificial Intelligence)
  
• Knowledge on Microsoft Azure will be desired.
  
• Expertise in machine learning such as Classification, Data/Text Mining, NLP, Image Processing, Decision Trees, Random Forest, Neural Networks, Deep Learning Algorithms
  
• Proficient in Python and its various libraries such as Numpy, MatPlotLib, Pandas
  
• Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to Business Teams.
  
• Experience in infra development / building platforms is highly desired.
  
• A drive to learn and master new technologies and techniques.
  

EkAnek, as the name suggests, is one platform with many applications.

EkAnek Networks is a VC-funded startup that is building the rails of what we believe will be the next wave of eCommerce 2.0. We are tech-first, building rich buying experiences, working closely with influencers & brands and creating the necessary support infrastructure.

Our first product, FOXY, is an influencer-led commerce platform for beauty, grooming and personal care. Foxy is committed to bringing the best, latest and 100% genuine beauty products from across the world, as recommended by top influencers.

Founded in 2018, we are headquartered in New Delhi. We are a well-funded start-up backed by Sequoia Capital, Matrix Partners and Lightspeed Venture Partners. Our angels include Rajan Anandan, Anand Chandrasekaran, Kunal Shah, Neeraj Arora and Srini Gopalan.

We are seeking a creative and results-driven Store Manager to join our team. In this role, you will be responsible for developing and executing the entire store, with a focus on driving engagement and increasing brand awareness.

Responsibilities:

• Manage all store operations briefing, team training, daily reports, inventory management, Global Count etc

• Understand and document customer preferences to provide recommendations on styling and customization to help customers express their personal style.

• Ensure all company policies and procedures are implemented and administered in store for the entire team.

• Team resource power planning: Weekly roster and managing leave requests from team members.

• Innovating and suggesting best practices and documenting the same for management’s consideration.

• Ownership of store KPIs such as sales targets, ATV, UPT, AUV, feedback reviews from customers.

• Daily Cash & Bank transactions including the responsibility of ensuring accuracy of petty cash.

• Visual merchandising and store display.

• Daily briefing and Weekly Reports to review sales figures and take proactive measures to ensure stores targets are met.

Requirements:

• 3 plus years experience in Retail Sales / Store Operations / Customer Service

• Bachelor’s degree with Exceptional communication skills, both written and verbal

• Proficient in MS Office – Excel, Word and email.

• Customer service oriented with a natural desire to care for the needs of others

• Deep desire to put drive & effort into your work

• Should have Worked extensively on SAP developments including the Application Design and Document for Custom development, in end to end SAP Implementation.
• Preparation of Technical Spec and Unit Test documents .
• Hands on experience and extensive knowledge on RICEF (Reports , ALE/IDOC, BDC ,Userexit /Enhancements , Script )
• Extensively worked on Data Dictionary objects (tables, structures, data elements and domains)
• Basic Knowledge on ABAP Workflow .
• Knowledge on BADI , User Exits ,BDC recording.
• Performance workbench tools like Runtime Analysis and SQL trace.
• Having good exposure to functional areas like Sales Distribution (SD), Material Management (MM) .
• Should have good analytical skills and ability to quickly grasp customer requirements and convert them into Technical specifications

MLOps Engineer

Required Candidate profile :

• 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
• Candidate with strong Azure expertise
• Exposure of Productionize the models
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
• Proficient knowledge of git, Docker and containers, Kubernetes
• Familiarity with Terraform
• E2E production experience with Azure ML, Azure ML Pipelines
• Experience in Azure ML extension for Azure Devops
• Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
• Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
• Candidate with strong Azure expertise
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops