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Job Title: Product Manager
Job Description
Bachelor or master’s degree in computer science or equivalent experience.
Worked as Product Owner before and took responsibility for a product or project delivery.
Well-versed with data warehouse modernization to Big Data and Cloud environments.
Good knowledge* of any of the Cloud (AWS/Azure/GCP) – Must Have
Practical experience with continuous integration and continuous delivery workflows.
Self-motivated with strong organizational/prioritization skills and ability to multi-task with close attention to detail.
Good communication skills
Experience in working within a distributed agile team
Experience in handling migration projects – Good to Have
*Data Ingestion, Processing, and Orchestration knowledge
Roles & Responsibilities
Responsible for coming up with innovative and novel ideas for the product.
Define product releases, features, and roadmap.
Collaborate with product teams on defining product objectives, including creating a product roadmap, delivery, market research, customer feedback, and stakeholder inputs.
Work with the Engineering teams to communicate release goals and be a part of the product lifecycle. Work closely with the UX and UI team to create the best user experience for the end customer.
Work with the Marketing team to define GTM activities.
Interface with Sales & Customer teams to identify customer needs and product gaps
Market and competition analysis activities.
Participate in the Agile ceremonies with the team, define epics, user stories, acceptance criteria
Ensure product usability from the end-user perspective
Mandatory Skills
Product Management, DWH, Big Data
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
- Experience of providing technical leadership in the Big Data space (Hadoop Stack like Spark, M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, etc. Should have contributed to open source Big Data technologies.
- Expert-level proficiency in Python
- Experience in visualizing and evangelizing next-generation infrastructure in Big Data space (Batch, Near Real-time, Real-time technologies).
- Passionate for continuous learning, experimenting, applying, and contributing towards cutting edge open source technologies and software paradigms
- Strong understanding and experience in distributed computing frameworks, particularly Apache Hadoop 2.0 (YARN; MR & HDFS) and associated technologies.
- Hands-on experience with Apache Spark and its components (Streaming, SQL, MLLib)
Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, SWF services, and the AWS CLI) - Experience working within a Linux computing environment, and use of command-line tools including knowledge of shell/Python scripting for automating common tasks
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The Story
Founded in 2011, Poshmark started with a simple yet powerful idea in Manish Chandra's garage. Along with co-founders Tracy Sun, Gautam Golwala, and Chetan Pungaliya, Chandra envisioned a platform that would revolutionize how people buy and sell fashion. The inspiration came from seeing the potential of the iPhone 4 to create meaningful connections in the shopping experience.
What They Do
Poshmark is not just another e-commerce platform – it's a social marketplace that brings together shopping and community. Think of it as a place where social media meets shopping, allowing users to buy, sell, and discover fashion, home goods, and accessories. With over 80 million users , the platform has become a go-to destination for both casual sellers and entrepreneurial individuals looking to build their own digital boutiques.
Growth & Achievements
- Started as a fashion-only platform and successfully expanded into home goods and electronics
- Raised over $160 million in venture funding
- Achieved a successful IPO in January 2021
- Recently launched innovative features like AI-powered visual search and livestream shopping
- Built a vibrant community of millions of buyers and sellers across the country
Today, under CEO Manish Chandra's leadership, Poshmark continues to innovate in the social commerce space, blending technology with community to create a unique shopping experience. The platform's success story is a testament to how combining social connections with commerce can create a powerful marketplace that resonates with modern consumers.
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