11+ Product launch Jobs in Mumbai | Product launch Job openings in Mumbai

Product Manager

Compensation​ - ₹18.0L - ₹35.0L 
Experience​ - 5.0 - 7.0 Year(s) : Min 5 yrs of Solid Product management Experience
Location​ - Bangalore / Mumbai
Working days​ - 5
Qualification​ - B.Tech/B.E.
Requirements:

•  Candidates shall be working in a product/internet consumer firm and only B2B Product Firms (Not B2C)
•  Candidates shall be a full time MBA from a tier1 Institutes
•  Candidates shall have experience in Road-mapping, goal setting, managing project execution, A/B testing, UI/UX wire-framing, defining product roll-out strategy.

Responsibilities:

• Own delivery of product initiatives and releases Lead ideation, development, launch, testing, and iteration of new features Translate high-level conceptual product ideas into clearly defined product specifications.
•  Collaborate with design, engineering, marketing, and sales to drive the product development process
•  Define and execute the LEAD School product vision, priorities and roadmap
•  Collaborate with engineering to determine the best technical implementation of the product features by Using your skill on PRD, wireframe, mind map, trello and etc.
•  Use data and metrics to help inform roadmap and product decisions to help better acquire, convert and retain users
•  Define user stories and product requirements that both reflect and anticipate the needs of LEAD School broad user base Proactively engage with LEAD School users in user research and to identify market opportunities
•  Understand the competitive landscape and evaluate market trends to better inform product roadmap.

Skills and Qualifications:

•  3+ years’ experience in a product management role within a B2B software company Experienced being the product owner in agile product teams
•  Experience with A/B testing and using data to inform product decisions
•  Technical enough to work effectively with engineers to decide on different product paths Design-capable enough to work effectively with designers to decide on good platform UI/UX choices
•  Strong prototyping and wireframing skills using tools like Balsamiq, Moqups etc.
•  Experienced in managing product backlogs and priorities based on user research and collaborating with internal stakeholder
•  Effective decision maker and can help teams understand rationale and reasons for the product decisions and roadmap direction
•  Thrive in a fast-paced startup environment
•  Self-starter, independent and excellent at driving teams and projects
•  Excellent communication skills at all level’s small groups, large groups, and with executives

We are looking for a dynamic and detail-oriented HR Executive to support the human resources department in all facets of HR operations. This role involves managing employee relations, recruitment, performance management, training, and administrative duties to ensure smooth HR processes and a positive work environment.

Qualifications:

• Bachelor’s degree in Human Resources, Business Administration, or related field.
• 3+ years of experience in an HR role, preferably in a fast-paced environment or organization.
• Experience with HRMS/HRIS (Human Resource Management Systems) and MS Office Suite (Excel, Word, PowerPoint) is preferred.

Skills and Abilities:

• Strong knowledge of HR practices and labor laws.
• Excellent communication and interpersonal skills.
• Ability to maintain confidentiality and handle sensitive information.
• Strong organizational skills with attention to detail.
• Ability to handle multiple tasks and prioritize effectively.

RESPONSIBILITIES:

• You will be involved in directly driving application of machine learning and AI to solve various product and business problems including ML model lifecycle management with ideation, experimentation, implementation, and maintenance.

• Your responsibilities will include enabling the team in moving forward with ML/AI solutions to optimise various components across our music streaming platforms.

• Your work would be impacting millions of users the way they consume music and podcasts, it would involve solving cold start problems, understanding user personas, optimising ranking and improving recommendations for serving relevant content to users.

• We are looking for a seasoned engineer to orchestrate our recommendations and discovery projects and also be involved in tech management within the team.

• The team of talented, passionate people in which you’ll work will include ML engineers and data scientists.

• You’ll be reporting directly to the head of the engineering and will be

instrumental in discussing and explaining the progress to top management and other stake holders.

• You’ll be expected to have regular conversations with product leads and other engineering leads to understand the requirements, and also similar and more frequent conversation with your own team.

REQUIREMENTS:

• A machine learning software engineer with a passion for working on exciting, user impacting product and business problems

• Stay updated with latest research in machine learning esp. recommender systems and audio signals

• Have taken scalable ML services to production, maintained and managed their lifecycle

• Good understanding of foundational mathematics associated with machine learning such as statistics, linear algebra, optimization, probabilistic models

Minimum Qualifications

• 13+ years of industry experience doing applied machine learning

• 5+ years of experience in tech team management

• Fluent in one or more object oriented languages like Python, C++, Java

• Knowledgeable about core CS concepts such as common data structures an algorithms

• Comfortable conducting design and code reviews

• Comfortable in formalising a product or business problem as a ML problem

• Master’s or PhD degree in Computer Science, Mathematics or related field

• Industry experience with large scale recommendation and ranking systems

• Experience in managing team of 10-15 engineers

• Hands on experience with Spark, Hive, Flask, Tensorflow, XGBoost, Airflow

BUSINESS DEVELOPMENT FOR INTERNATIONAL MARKET

A business development executive or a business development manager is a sales professional who helps an organisation to grow by identifying and developing new business opportunities. Their duties include searching for new clients, finding new potential services to offer, and helping the company expand to new markets.

Responsibilities:

• Must be able to write quality code and build secure, highly available systems.
• Assemble large, complex datasets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing datadelivery, re-designing infrastructure for greater scalability, etc with the guidance.
• Create datatools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Monitoring performance and advising any necessary infrastructure changes.
• Defining dataretention policies.
• Implementing the ETL process and optimal data pipeline architecture
• Build analytics tools that utilize the datapipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Create design documents that describe the functionality, capacity, architecture, and process.
• Develop, test, and implement datasolutions based on finalized design documents.
• Work with dataand analytics experts to strive for greater functionality in our data
• Proactively identify potential production issues and recommend and implement solutions

Skillsets:

• Good understanding of optimal extraction, transformation, and loading of datafrom a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Proficient understanding of distributed computing principles
• Experience in working with batch processing/ real-time systems using various open-source technologies like NoSQL, Spark, Pig, Hive, Apache Airflow.
• Implemented complex projects dealing with the considerable datasize (PB).
• Optimization techniques (performance, scalability, monitoring, etc.)
• Experience with integration of datafrom multiple data sources
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB, etc.,
• Knowledge of various ETL techniques and frameworks, such as Flume
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Good understanding of Lambda Architecture, along with its advantages and drawbacks
• Creation of DAGs for dataengineering
• Expert at Python /Scala programming, especially for dataengineering/ ETL purposes