11+ Mobility management Jobs in Chennai | Mobility management Job openings in Chennai

Job Description: 

 
• Responsible for the Strategy, Roadmap, Architecture, Design, Engineering and Lifecycle Delivery of our End User Devices, ensuring they are current and meet the needs of the business.  These technologies include physical devices, Operating Systems, Device Software, printing and mobility services
•        SCCM, (Windows 10, MAC & Linux) desktops, Modern Endpoint Management, InTune, endpoint security
•        Customer focused, confident and articulate with lots of experience in stakeholder meetings and presentations
•        Skills in contributing to technical roadmaps for technologies supported by End users
•        High level understanding of all EUC technology namely SCCM, Nexthink, OS (Windows and Mac) , End point security , Privilege management  , Intune / JAMF
•        Govern the upgrades and compatibility of End User devices to ensure seamless upgrades to the business and new functionality and capabilities are introduced effectively
•        Simplify the environment so our technology is current and delivers a great customer experience
•        Responsible for the management, prioritization and execution of demand
•        Engages with key Stakeholders and Customers to ensure these technologies meet customer needs.
•        Manages our technology partners effectively to ensure that our services are optimized and cost effective
•        Lead a strong technical team to deliver the right technology services to the business to deliver a great customer experience across these services
•        Architecture governance for the Device portfolio to ensure all our technology solutions are designed and implemented to work seamlessly with our applications and infrastructure to deliver a great customer experience.
•        Work across the Infrastructure and Applications team to ensure effective lifecycle management so our IT tools and services are optimized for the business.

Are you passionate about the power of data and excited to leverage cutting-edge AI/ML to drive business impact? At Poshmark, we tackle complex challenges in personalization, trust & safety, marketing optimization, product experience, and more.

Why Poshmark?

As a leader in Social Commerce, Poshmark offers an unparalleled opportunity to work with extensive multi-platform social and commerce data. With over 130 million users generating billions of daily events and petabytes of rapidly growing data, you’ll be at the forefront of data science innovation. If building impactful, data-driven AI solutions for millions excites you, this is your place.

What You’ll Do

• Drive end-to-end data science initiatives, from ideation to deployment, delivering measurable business impact through projects such as feed personalization, product recommendation systems, and attribute extraction using computer vision.
• Collaborate with cross-functional teams, including ML engineers, product managers, and business stakeholders, to design and deploy high-impact models.
• Develop scalable solutions for key areas like product, marketing, operations, and community functions.
• Own the entire ML Development lifecycle: data exploration, model development, deployment, and performance optimization.
• Apply best practices for managing and maintaining machine learning models in production environments.
• Explore and experiment with emerging AI trends, technologies, and methodologies to keep Poshmark at the cutting edge.

Your Experience & Skills

• Ideal Experience: 6-9 years of building scalable data science solutions in a big data environment. Experience with personalization algorithms, recommendation systems, or user behavior modeling is a big plus.
• Machine Learning Knowledge: Hands-on experience with key ML algorithms, including CNNs, Transformers, and Vision Transformers. Familiarity with Large Language Models (LLMs) and techniques like RAG or PEFT is a bonus.
• Technical Expertise: Proficiency in Python, SQL, and Spark (Scala or PySpark), with hands-on experience in deep learning frameworks like PyTorch or TensorFlow. Familiarity with ML engineering tools like Flask, Docker, and MLOps practices.
• Mathematical Foundations: Solid grasp of linear algebra, statistics, probability, calculus, and A/B testing concepts.
• Collaboration & Communication: Strong problem-solving skills and ability to communicate complex technical ideas to diverse audiences, including executives and engineers.

As a Sales Associate, you'll have the opportunity to contribute to MHFA India’s success by expanding our customer base and establishing long-term relationships. If you're a motivated self-starter with excellent communication skills and a knack for building rapport, we want to hear from you!

Key Responsibilities:

·       Prospect and qualify leads to generate new business opportunities.

·       Conduct product presentations and demonstrations to potential clients.

·       Build and maintain strong relationships with clients to understand their needs and provide appropriate solutions.

·       Achieve sales targets and contribute to revenue growth.

·       Continuously stay updated on industry trends and product knowledge.

·       Bachelor's degree in Business, Marketing, or a related field.

·       1-3 years (for Associate) and 4-6 years (Senior Associate) of experience in sales or business development roles.

·       Proven track record of meeting or exceeding sales targets.

·       Strong communication and negotiation skills.

·       Self-motivated and goal-oriented with a drive for success.

·       Ability to thrive in a collaborative team environment.

1. Must have Experience in React, Nodejs.
2. Experience with the CI Systems.
3. Experience with any of the Cloud Platforms Such as GCP,AWS.
4. Experience with Continuous Integration environments.
5. Experience in end-to-end testing frameworkS Like Puppeteer / Cypress / Protractor/ Other selenium testing framework.
6. Experience with JavaScript Unit Testing Frameworks Like Jest/Mocha.
7. Experience in TypeScript.

About Klenty

Klenty is a Software Product company operating in the Sales Engagement category.

One of the fastest growing SAAS startups in the sales engagement space, Klenty is headquartered in California and operates from Chennai, India.

Klenty’s Sales Engagement Product helps thousands of sales teams automate all the repetitive activities involved in the sales process like sending emails, follow-ups, tracking engagement metrics, etc - so that the sales team can focus more on activities like building relationships and closing deals.

With over 3000 customers all over the world, we are on a mission to transform every B2B Sales team into an unstoppable force

Join us in building the future of sales engagement software

Roles & Responsibilities

1. Ensure that the application doesn’t misbehave under changing user load and that no bugs or errors reach the end-users.

2. Understands and analyze performance test requirements - Develops performance test script suite and Executes tests —> Captures —> Analyzes results.

3. Conduct system performance testing to ensure system reliability, capacity and scalability and reports performance test progress & defects.

4. Maintains performance script repository.

5. Writing test scripts of various test phases like integration, regression, system.

6. Analyzing users stories / Use cases / requirements for validity and feasibility.

7. Interact with SMEs & Business to gather PT/PE requirements.

8. Identifying tools and techniques to improve testing quality and efficiency.

9. Raise issues or concerns to the stakeholders upfront and if required come up with mitigation plan.

10. Collect all metrics (Client Side, Server Side, DB, Network and Load Balancer) and analyse the performance metrics and bottlenecks to suggest corrective actions.

11. Design and create benchmark scenarios and prepare performance benchmark documents.

12. Prepare test summary reports for management review.

13. Collaborate closely with other team members and departments and assist in other performance engineering activities as needed.

Seniority Level - Entry level

Industry - Information Technology & Services

Employment Type - Full-time

Job Functions - Product Development

Employment Type - Full-time

Job Title: Engineering Manager

Job Location: Chennai, Bangalore
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.