Product Marketing Manager

Strong Product Designer Profile

Mandatory (Experience 1): Must have a 3+ years of experience as a Product Designer in B2C companies working on live digital products end-to-end (preferably fintech, investment, or consumer apps).

Mandatory (Experience 2): Experience in 1 to 10 product journeys — identifying user pain points, fixing UX breakages, and launching new product initiatives.

Mandatory (Skill 1): Strong command of UX design, user flows, wireframing, and prototyping using Figma or equivalent tools.

Mandatory (Skill 2): Proficiency in UI design systems, visual hierarchy, and user - centered problem-solving with clear reasoning behind design decisions.

Mandatory (Portfolio): Must showcase real, shipped products (minimum 2–3 live products) where the designer has driven impact — passion projects or conceptual redesigns are not acceptable

Mandatory (Company): Top / Well-Funded B2C Product Companies

Springer Capital is a cross-border asset management firm specializing in real estate investment banking between China and the USA. We are offering a remote internship for aspiring business professionals interested in operations management, executive support, and administration. The internship offers flexible start and end dates. A short quiz or task may be required as part of the selection process.

Responsibilities:

• Provide daily operational and administrative support to the COO.
• Assist with project tracking, documentation, and reporting.
• Conduct research and data analysis to support executive decision-making.
• Coordinate communication across departments and external stakeholders.
• Help identify process inefficiencies and recommend improvements.
• Prepare presentations, reports, and other documents for leadership.

Please send your resume to talent@springercapital

We’re looking for a Product Ninja with the mindset of a Tech Catalyst — a proactive executor who thrives at the intersection of product, technology, and user experience. In this role, you’ll bring product ideas to life, translate strategy into action, and collaborate closely with engineers, designers, and stakeholders to deliver impactful solutions.

This role is ideal for someone who’s hands-on, detail-oriented, and passionate about using technology to create real customer value.

Responsibilities:

• Support the definition and execution of the product roadmap in alignment with business goals.
• Work closely with engineering, design, QA, and marketing teams to drive product development.
• Translate product requirements into detailed specs, user stories, and acceptance criteria.
• Conduct competitive research and analyze user feedback to inform feature enhancements.
• Track product performance post-launch and gather insights for continuous improvement.
• Assist in managing the full product lifecycle, from ideation to rollout.
• Be a tech-savvy contributor, suggesting improvements based on emerging tools, platforms, and technologies.

Qualification:

• Bachelor’s degree in Business, Marketing, Computer Science, or a related field.
• 3+ years of hands-on experience in product management, product operations, or related roles.
• Comfortable working in fast-paced, cross-functional tech environments.

Required Skills:

• Strong analytical and problem-solving abilities.
• Clear, concise communication and documentation skills.
• Proficiency with project and product management tools (e.g., JIRA, Trello, Confluence).
• Ability to manage details without losing sight of the bigger picture.

Preferred Skills:

• Experience with Agile or Scrum workflows.
• Familiarity with UX/UI best practices and working with design systems.
• Exposure to APIs, databases, or cloud-based platforms is a plus.
• Comfortable with basic data analysis and tools like Excel, SQL, or analytics dashboards.

Who You Are:

• A doer who turns ideas into working solutions.
• A collaborator who thrives in tech teams and enjoys building alongside others.
• A catalyst who nudges things forward with curiosity, speed, and smart experimentation.

KRONOS WORKFORCE TIMEKEEPER, REPORTING, KRONOS, SQL, SCRUM METHODOLOGY

We are looking for an HR Intern to perform various administrative tasks and support our HR department’s daily activities.

HR Intern responsibilities include updating our employee records with new hire information, screening resumes and scheduling interviews. If you’re interested in kickstarting your career in HR and getting a closer look of how our company approaches payroll, recruiting and employee development, we’d like to meet you

We at Datametica Solutions Private Limited are looking for SQL Engineers who have a passion for cloud with knowledge of different on-premise and cloud Data implementation in the field of Big Data and Analytics including and not limiting to Teradata, Netezza, Exadata, Oracle, Cloudera, Hortonworks and alike. 

Ideal candidates should have technical experience in migrations and the ability to help customers get value from Datametica's tools and accelerators.

Job Description

Experience : 4-10 years

Location : Pune

Mandatory Skills - 

• Strong in ETL/SQL development
• Strong Data Warehousing skills
• Hands-on experience working with Unix/Linux
• Development experience in Enterprise Data warehouse projects
• Good to have experience working with Python, shell scripting
•  

Opportunities -

• Selected candidates will be provided training opportunities on one or more of the following: Google Cloud, AWS, DevOps Tools, Big Data technologies like Hadoop, Pig, Hive, Spark, Sqoop, Flume and Kafka
• Would get chance to be part of the enterprise-grade implementation of Cloud and Big Data systems
• Will play an active role in setting up the Modern data platform based on Cloud and Big Data
• Would be part of teams with rich experience in various aspects of distributed systems and computing

About Us!

A global Leader in the Data Warehouse Migration and Modernization to the Cloud, we empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation.

We have expertise in transforming legacy Teradata, Oracle, Hadoop, Netezza, Vertica, Greenplum along with ETLs like Informatica, Datastage, AbInitio & others, to cloud-based data warehousing with other capabilities in data engineering, advanced analytics solutions, data management, data lake and cloud optimization.

Datametica is a key partner of the major cloud service providers - Google, Microsoft, Amazon, Snowflake.

We have our own products!

Eagle – Data warehouse Assessment & Migration Planning Product

Raven – Automated Workload Conversion Product

Pelican - Automated Data Validation Product, which helps automate and accelerate data migration to the cloud.

Why join us!

Datametica is a place to innovate, bring new ideas to live and learn new things. We believe in building a culture of innovation, growth and belonging. Our people and their dedication over these years are the key factors in achieving our success.

Benefits we Provide!

Working with Highly Technical and Passionate, mission-driven people

Subsidized Meals & Snacks

Flexible Schedule

Approachable leadership

Access to various learning tools and programs

Pet Friendly

Certification Reimbursement Policy

Check out more about us on our website below!

http://www.datametica.com/">www.datametica.com

About us

Skit (previously known as http://vernacular.ai/" target="_blank">Vernacular.ai) is an AI-first SaaS voice automation company. Its suite of speech and language solutions enable enterprises to automate their contact centre operations. With over 10 million hours of training data, its product - Vernacular Intelligent Voice Assistant (VIVA) can currently respond in 16+ languages, covering over 160+ dialects and replicating human-like conversations.

Skit currently serves a variety of enterprise clients across diverse sectors such as BFSI, F&B, Hospitality, Consumer Electronics and Travel & Tourism, including prominent clients like Axis Bank, Hathway, Porter and Barbeque Nation. It has been featured as one of the top-notch start-ups in the Cisco Launchpad’s Cohort 6 and is a part of the World Economic Forum’s Global Innovators Community. It has has also been listed in Forbes 30 Under 30 Asia start-ups 2021 for its remarkable industry innovation.

We are looking for ML Research Engineers to work on the following problems:

• Spoken Language Understanding and Dialog Management.
• Language semantics, parsing, and modeling across multiple languages.
• Speech Recognition, Speech Analytics and Voice Processing across multiple languages.
• Response Generation and Speech Synthesis.
• Active Learning, Monitoring and Observability mechanisms for deployments.

Responsibilities

• Design, build and evaluate Machine Learning solutions.
• Perform experiments and statistical analyses to draw conclusions and take modeling decisions.
• Study, implement and extend state of the art systems.
• Take part in regular research reviews and discussions.
• Build, maintain and extend our open source solutions in the domain.
• Write well-crafted programs at all levels of the system. This includes the data pipelines, experiment prototypes, fast and scalable deployment models, and evaluation, visualization and monitoring systems.

Requirements

• Practical Machine Learning experience as demonstrated by earlier works.
• Knowledge of and ability to use tools from theoretical and practical aspects of computer science. This includes, but is not limited to, probability, statistics, learning theory, algorithms, software architecture, programming languages, etc.
• Good programming skills and ability to work with programs at all levels of a finished Machine Learning product. We prefer language agnosticism since that exemplifies this point.
• Git portfolios and blogs are helpful as they let us better evaluate your work.

• What information we collect during our application and recruitment process and why we collect it;
• How we use that information; and
• How to access and update that information.

• Your name, address, email address, telephone number and other contact information;
• Your resume or CV, cover letter, previous and/or relevant work experience or other experience, education, transcripts, or other information you provide to us in support of an application and/or the application and recruitment process;
• Information from interviews and phone-screenings you may have, if any;
• Details of the type of employment you are or may be looking for, current and/or desired salary and other terms relating to compensation and benefits packages, willingness to relocate, or other job preferences;
• Details of how you heard about the position you are applying for;
• Reference information and/or information received from background checks (where applicable), including information provided by third parties;
• Information about your educational and professional background from publicly available sources, including online, that we believe is relevant to your application or a potential future application (e.g. your LinkedIn profile); and/or
• Information related to any assessment you may take as part of the interview screening process.

• Assessing your skills, qualifications and interests against our career opportunities;
• Verifying your information and carrying out reference checks and/or conducting background checks (where applicable) if you are offered a job;
• Communications with you about the recruitment process and/or your application(s), including, in appropriate cases, informing you of other potential career opportunities at Skit;
• Creating and/or submitting reports as required under any local laws and/or regulations, where applicable;
• Making improvements to Skit's application and/or recruitment process including improving diversity in recruitment practices;
• Proactively conducting research about your educational and professional background and skills and contacting you if we think you would be suitable for a role with us.

Glance – An InMobi Group Company:

Glance is an AI-first Screen Zero content discovery platform, and it’s scaled massively in the last few months to one of the largest platforms in India. Glance is a lock-screen first mobile content platform set up within InMobi. The average mobile phone user unlocks their phone >150 times a day. Glance aims to be there, providing visually rich, easy to consume content to entertain and inform mobile users - one unlock at a time. Glance is live on more than 80 millions of mobile phones in India already, and we are only getting started on this journey! We are now into phase 2 of the Glance story - we are going global!

Roposo is part of the Glance family. It is a short video entertainment platform. All the videos created here are user generated (via upload or Roposo creation tools in camera) and there are many communities creating these videos on various themes we call channels. Around 4 million videos are created every month on Roposo and power Roposo channels, some of the channels are - HaHa TV (for comedy videos), News, Beats (for singing/ dance performances) along with a For You (personalized for a user) and Your Feed (for videos of people a user follows).

What’s the Glance family like?

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. Glanciers are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.

What can we promise? 

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for Glance and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At Glance, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. 

What you will be doing?

Glance is looking for a Data Scientist who will design and develop processes and systems to analyze high volume, diverse "big data" sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors. Interacts with business partners to identify questions for data analysis and experiments. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and or prepares output from analysis and experiments to business partners. 

You will be working with Product leadership, taking high-level objectives and developing solutions that fulfil these requirements. Stakeholder management across Eng, Product and Business teams will be required.

Basic Qualifications:

• Five+ years experience working in a Data Science role
• Extensive experience developing and deploying ML models in real world environments
• Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
• Exceptional familiarity with Python, Java, Spark or other open-source software with data science libraries
• Experience in advanced math and statistics
• Excellent familiarity with command line linux environment
• Able to understand various data structures and common methods in data transformation
• Experience deploying machine learning models and measuring their impact
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Preferred Qualifications

• Experience developing recommendation systems
• Experience developing and deploying deep learning models
• Bachelor’s or Master's Degree or PhD that included coursework in statistics, machine learning or data analysis
• Five+ years experience working with Hadoop, a NoSQL Database or other big data infrastructure
• Experience with being actively engaged in data science or other research-oriented position
• You would be comfortable collaborating with cross-functional teams.
• Active personal GitHub account.