Business Development Manager- Mum/GGN

About Blostem:

Blostem is a fintech infrastructure company backed by Rainmatter (Zerodha), MobiKwik, and AC Ventures. We help fintechs embed Fixed Deposits and other financial products in 7 days — vs the traditional 9–12 months.

You'll work on real campaigns, real content, and real pipeline — not just scheduling posts.

What you'll do:

→ B2B content — LinkedIn, email, website

→ Marketing automation and CRM workflows

→ SEO, paid campaign support, and performance reporting

→ Trend-led social content that works for a professional, niche audience

What we're looking for:

We need someone who genuinely lives on the internet.

→ Deep understanding of how LinkedIn, Instagram, and YouTube algorithms work — not surface level

→ Knows what's trending before it peaks — formats, memes, audio, content styles

→ Can spot a good hook, adapt a trend for a B2B/fintech context, and execute fast

→ Understands the difference between content that gets views and content that builds trust

→ Aware of platform-native formats — carousels, short-form video, newsletters, threads

→ Has an eye for what performs in a niche, professional audience vs a mass consumer one

→ Already uses AI tools (ChatGPT, Claude, Perplexity) to research, write, and work faster

→ Writes clearly in English and understands how B2B funnels work

→ Self-starter, fast learner, comfortable in a startup

→ Uses AI for competitor research, content ideation, and summarising long-form material

Job Profile : Senior Data Analyst 

Function: Data Analytics  

Location : Andheri East (Mumbai) 

Joining : Immediate – 15 days 

Education : Graduation

Experience: Minimum 5 years  

Working Days: Monday – Friday (Sat and Sun fixed off)  

Shift timings: 12pm – 9pm 

Introduction to Company: 

Since 2016, the TT LifeSciences has been committed to delivering excellent educational events, conferences, and meetings to tightly targeted audiences in highly regulated industries.

At that time, most of the educational forums provided for specialised industries were general and colourless. They were designed to have broad appeal to companies operating in vastly different sectors. In trying to address the needs of too many people, they actually addressed 

none. 

TT LifeSciences set out to do things differently. We are client-centered and carefully curate a program designed for our clients’ needs. The result? Educational events that are tailored to the professionals who attend and provide a space for real growth. 

We are proud to have grown to a global operation, with headquarters in both the UK and Asia. We serve some of the biggest healthcare names in the world, like Merit Medical, Getinge Group and Occlutech. 

We have hosted over 100+ interactive and informative medical device conferences, bringing together professionals in niche markets who share similar concerns and challenges to learn, 

inspire and innovate. 

Company Website: https://www.ttgroupworldwide.com

Benefits: 

• Work life balance 

• Rewards & Recognitions programs 

• Employees completing three years receive loyalty bonuses ranging from INR 1 Lac to INR 5 Lacs. 

• Professional development and career advancement opportunities are actively encouraged. 

• Opportunity to work across global Markets Berlin, Germany, the USA, and Europe. 

• Additional benefits include paid holidays, festive leaves, and team gatherings. 

• Comprehensive perks such as Provident Funds and health insurance are provided. 

• Sick leave and relocation assistance are also part of the employee support program 

Job Responsibilities: 

• Collect and clean data from different sources to find useful trends and insights. 

• Create and update dashboards, reports, and charts to share results clearly. 

• Work with teams to understand their data needs and provide solutions. 

• Use statistical methods and forecasting to support decision-making. 

• Suggest ways to improve processes, automate tasks, and maintain data quality. 

• Ensure data is accurate, reliable, and follows privacy rules. 

• Keep learning new tools and methods in data analysis. 

• Share findings and recommendations with stakeholders in an easy-to

understand way. 

• Support business growth by providing timely and relevant insights. 

• Help in designing data strategies that align with company goals. 

• Assist in training team members on using data tools and reports. 

Candidate Specification: 

• Excellent verbal and written communications skills. 

• Confident while working 

• Strong work ethic 

• International exposure 

• To-do-attitude 

• Willingness to learn 

• Long term approach 

Required Skills: 

• Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, 

or a related field. Master’s degree preferred. 

• 5+ years of experience in data analysis, business intelligence, or a related role. 

• Proficiency in SQL, Python, R, or other data analysis tools. 

• Experience with data visualization tools such as Tableau, Power BI, or similar. 

• Strong analytical skills with a keen eye for detail. 

• Knowledge of statistical methods and data modeling. 

• Excellent communication and presentation skills. 

• Ability to handle multiple projects and prioritize effectively. 

Job Description -

Profile: Senior ML Lead

Experience Required: 10+ Years

Work Mode: Remote

Key Responsibilities:

• Design end-to-end AI/ML architectures including data ingestion, model development, training, deployment, and monitoring
• Evaluate and select appropriate ML algorithms, frameworks, and cloud platforms (Azure, Snowflake)
• Guide teams in model operationalization (MLOps), versioning, and retraining pipelines
• Ensure AI/ML solutions align with business goals, performance, and compliance requirements
• Collaborate with cross-functional teams on data strategy, governance, and AI adoption roadmap

Required Skills:

• Strong expertise in ML algorithms, Linear Regression, and modeling fundamentals
• Proficiency in Python with ML libraries and frameworks
• MLOps: CI/CD/CT pipelines for ML deployment with Azure
• Experience with OpenAI/Generative AI solutions
• Cloud-native services: Azure ML, Snowflake
• 8+ years in data science with at least 2 years in solution architecture role
• Experience with large-scale model deployment and performance tuning

Good-to-Have:

• Strong background in Computer Science or Data Science
• Azure certifications
• Experience in data governance and compliance

We’re Hiring: Area Sales Executive/Manager 🚀

📍 Locations:

• Mumbai – Cover entire Maharashtra, report to NSM

• Lucknow – Cover entire UP, report to RSM

🗓️ 6 Days Working | 💼 1.5+ yrs experience

Role Highlights ✨

• 📈 Drive sales for microscopes & medical devices

• 🏥 Target labs, hospitals, colleges, FSL & industrial sectors

• 🤝 Meet doctors & institutions (govt. + private)

• 🎥 Give demos, training & technical support

• 🎯 Achieve monthly/quarterly/yearly sales targets

• 📊 Implement strategies from RSM/NSM

• 📝 Daily reporting + customer feedback

• 💰 Manage area sales & collections

• 🔍 Analyze market potential & maintain customer relations

• 🛠️ Learn product features & troubleshoot

• 📅 Submit weekly reports & complete assigned tasks

What You Need 🎓

• Bachelor’s/Master’s degree

• 1.5–3 yrs in sales (medical devices/scientific instruments preferred)

• 💡 Strong sales acumen & communication skills

• 🤝 Good interpersonal, organizational & problem-solving skills

• ⚡ High energy & adaptability

📩 Interested? Share your resume

• Coding Complex Modules
• Code review and enforcing best practices
• Improve application architecture
• Constantly improve his/her own skill set
• Customisation to existing open souce and custom built applications
• Building a knowledge base of the latest programming trends, best practices and methodologies.

• B.Tech/BCA/MCA or M.Tech
• Experience into Javascript (Node.js, Angular.js/React.js)
• Experience representing work to a broader product team and other leaders, clearly and succintly articulating the goals and concepts

Job Title: SEO Intern

Company: InternetSoft

Location: Pune

Working Hours: 2:00 PM to 11:00 PM

Duration: 3 Months Internship (Possibility of Full-Time Employment Based on

Performance)

Job Description:

InternetSoft is seeking a motivated and detail-oriented individual to join our team as an

SEO Intern. This is an exciting opportunity for someone passionate about digital

marketing and eager to gain hands-on experience in the field of Search Engine

Optimization.

Responsibilities:

Keyword Research:

● Conduct keyword research to identify potential target keywords for our

products/services.

● Analyze keyword competitiveness and trends to enhance website visibility.

On-Page Optimization:

● Assist in optimizing website content, meta-tags, and other on-page

elements for SEO best practices.

● Collaborate with content creators to ensure content aligns with SEO

strategies.

Off-Page Optimization:

● Support link-building initiatives through outreach and relationship building.

● Monitor and analyze backlink profiles to ensure a healthy link portfolio.

SEO Analytics:

● Utilize tools such as Google Analytics to track website performance.

● Generate and analyze SEO reports to measure the effectiveness of

optimization strategies.

Competitor Analysis:

● Conduct regular competitor analysis to identify opportunities for

improvement.

● Stay updated on industry trends and algorithm changes.

Technical SEO:

● Work on technical aspects of SEO, including website structure, redirects,

and site speed.

● Collaborate with the development team to implement SEO-friendly

changes.

Qualifications:

● Currently pursuing or recently completed a degree in Marketing, Business, or

related field.

● Basic understanding of SEO principles and best practices.

● Strong analytical and problem-solving skills.

● Excellent written and verbal communication skills.

● Familiarity with SEO tools such as Google Analytics, SEMrush, or Moz is a plus.

Working Hours:

The working hours for this position are from 2:00 PM to 11:00 PM.

Internship Duration:

This is a 3-month internship position. Successful interns may have the opportunity for

full-time employment based on performance.

Responsibilities

• Product Strategy: Develop and communicate product vision, strategy, and roadmap.
• Requirement Gathering: Identify and prioritize product requirements through user research.
• Project Planning and Management: Define project goals, milestones, and manage timelines.
• Data Management: Oversee data collection, storage, and quality assurance.
• Machine Learning Models: Collaborate on AI algorithm development and model training.
• User Experience (UX): Advocate for intuitive and user-friendly AI product interfaces.
• Product Launch and Adoption: Plan and execute successful product launches.
• Performance Monitoring and Improvement: Track metrics and propose enhancements.
• Stakeholder Communication: Facilitate communication between technical and non-technical teams.
• Market and Industry Awareness: Stay informed on AI trends and regulatory requirements.

Requirements

• Education: Bachelor’s or master’s degree in computer science, engineering, data science, or related fields with 5+ years’ experience as a product manager and at least 2 years in AI domain.
• Technical Knowledge: Strong understanding of AI, machine learning, and data analysis.
• Product Management Experience: Previous experience in product management or related roles.
• AI Domain Expertise: Proficiency in AI applications and ethical considerations.
• Analytical and Problem-Solving Skills: Ability to analyse complex data and solve problems.
• Communication and Collaboration: Excellent interpersonal and communication skills.
• Leadership and Project Management: Strong leadership and project management abilities.
• User-Centric Mindset: Understanding of user needs and usability testing skills.
• Business Acumen: Knowledge of business principles and market dynamics.
• Adaptability and Learning Agility: Openness to new technologies and continuous learning.

Preferred Education & Experience:

• Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics, Finance, Economics or related technical or analytical field or equivalent practical experience. Relevant experience of at least 3 years in lieu of above if from a different stream of education.

• Well-versed in and 5+ years of hands-on demonstrable experience with:
▪ Functional Analysis of Business Capabilities, Business Processes, & Business Rules
▪ Functional & Technical Profiling & Analysis of Data
▪ Business Process Modeling & Design
▪ Business Rules Modeling & Design
▪ Object Oriented Modeling & Design
▪ API Modeling & Design
▪ Relational, Document, & Graph Data Modeling & Design
▪ PL/pgSQL & SQL Programming
▪ Behavior Driven Development (BDD)
▪ Stream & Batch Big Data Pipeline Processing
▪ Domain Driven Design (DDD) & Micro services Architecture & Design
▪ Distributed Cloud Native Computing
• 1+ year of hands-on programming experience in PL/pgSQL & SQL Programming.

• Strong knowledge and hands-on experience with analyzing business & data requirements from customers.

• Strong knowledge and hands-on experience with modeling techniques viz., BPMN, UML, ERD, & other Visual Modeling techniques.

• Extensive knowledge & working experience with SQL, detailed data profiling using Informatica/Talend or similar tools, reporting & data visualization using Tableau/Spotfire/QlikView etc.

• Proficiency in Microsoft Excel, including in-cell formulas, pivot tables, basic macros, and other data manipulation and formatting functions is required.

• Familiarity with Database Read vs. Write Performance Tuning & Optimization.

• Familiarity with Virtualization & Containerization, API Management, Identity & Access Management, System Monitoring & Management, Data Protection & Encryption.

• Familiarity with Lean, Agile, & DevOps Practices, Processes, & Tools.

• Familiarity with cloud platforms such as AWS, Azure, & Google Cloud.

• Familiarity with Storage, Networks and Storage Networking basics.

• Familiarity with Network, Data, and Application Security basics.

• B2B
• B2C( International IT Sales )
• Knowledge of products and technologies and market conditions.
• Excellent communications