Inside Sales Representative

About BlogVault

We are building a suite of SaaS products for websites—products with clear product-market fit, strong customer pull, and the potential to become $100M+ businesses.

Our frontend has reached a critical inflection point: we have upgraded our UI foundation, clarified our product direction, and established strong momentum. We are no longer just shipping isolated features. The next step is turning this foundation into a robust, consistent, and highly scalable frontend system that remains polished and dependable as our products grow.

About the role

This Frontend role is for someone who wants to own more than feature delivery. You will shape how frontend engineering works here: how product UI is built, how shared components evolve, how standards are set, how architecture decisions are made, and how AI-assisted development is used without compromising quality.

The Reality & The Mission

Our frontend is functional, but it is currently under-owned at the senior level. We are looking for a technical counterpart to partner with our UI engineer. You will focus on three key challenges:

• Systemic Architecture: Creating clear component boundaries and maintainable patterns to reduce technical debt in a fast-paced environment.
• UI Consistency: Maturing our shared component library so that visually complex workflows across our product suite feel polished, friendly, and robust.
• AI-First Guardrails: Designing the linting standards, automated validation, and review practices that allow us to leverage AI coding speed safely without code quality drift.

What You Will Own (Day 1)

• Frontend System Architecture: Define the structural patterns, boundaries, and long-term scalability of our React applications.
• Design-System Maturity: Build, mature, and drive adoption of a proper design-system foundation. Pair directly with our capable UI engineer to draw clean lines between design implementation and component engineering.
• AI-First Standards: Design and enforce code review standards that make AI-assisted velocity safe and sustainable.
• Theming & Variations: Refactor and upgrade shared component libraries to ensure they are reusable, extensible, and natively support brand-wise variations and light/dark modes.
• Technical Direction: Guide the day-to-day technical choices of the frontend team, raising the bar for reuse and execution quality.

Discovered Scope (What you will define)

• We want you to have the autonomy to analyze and build out:
• Frontend Observability: Select and implement the telemetry, error monitoring, and user-facing performance tools needed to keep our products healthy.
• Developer Experience (DX) Tooling: Design internal libraries, linters, or workflows that speed up local development cycles.

Who You Are

• You think in systems: You don’t just build components; you care about how code interacts over a multi-year horizon and value user-experience polish as much as code correctness.
• You are pragmatic: You know how to raise engineering standards and improve consistency without introducing heavy process overhead.
• You don’t outsource judgment: You use AI as a force multiplier but treat it as a tool that still requires rigorous engineering oversight and verification.
• You enjoy evolving live systems: You prefer refactoring and improving production systems over purely greenfield projects where the right answer is rarely "start over."

What We Expect You to Bring

• 4–5 years of experience building real-world frontend products in production.
• Strong hands-on experience with React JS and JSX.
• Deep fundamentals in modern JavaScript and React state management.
• Experience building, evolving, or maturing design systems and shared component libraries.
• Ability to structure clean API integrations and handle data synchronization.
• A collaborative mindset and a strong eye for visual polish.

Bonus Points If You Have Worked With:

• TypeScript
• Frontend observability, performance optimization, or error monitoring tools
• Theming systems, dark mode architecture, or multi-brand UI foundations
• Fast-growing SaaS product teams with high ownership and velocity

This Role is Probably Not For You If:

• You prefer narrowly scoped implementation work over broad systems ownership.
• You mainly enjoy greenfield projects and dislike refactoring or building on top of live products.
• You optimize for perfect, dogmatic abstraction over practical progress.
• You want frontend direction to be fully predefined for you.

Culture at BlogVault

Some values we’ve lived by over these last 14 years:

We think like inventors.

>Invent the answer you wish existed. If it already exists, ask how it could exist better.<

We build for the love of it. And we build the best.

We don’t just copy and paste. We start from first principles—frame the problem, question the default, ship, improve, repeat—until it’s world-class.

Every version and experiment is a chance to push past our comfort zone and hone our craft. It isn’t easy—it takes patience and persistence—but it ends in work we’re proud of.

Ownership builds a rocket ship.

>It’s not the hours you put in your work that count; it’s the work you put in the hours.<

We’re here to build the business. When we see a problem, we own it end‑to‑end. We pull in the right people, ask for help early, track just enough to finish, and close the loop. We focus on what moves the needle, cut low‑impact work, and push hard when it counts—then recover.

That focus builds subject mastery. It helps get in the flow. It fuels passion and can spark healthy friction—and that’s all part of the game. We make a fuss when it matters, and once a call is made, we commit to it fully—whether we all agree or disagree.

Step up to stand tall.

>Greatness is a moving target.<

Chase excellence in your craft and take on bigger problems. Grow into a full-stack problem-solver and leader—whatever your domain. Improve with intent, work with people who push you, and never get too comfortable. That’s how we level up.

How’s the team?

• Open and flat hierarchy
• High-agency work with a get-stuff-done attitude
• Teams that focus on creating wins - for the org, the team and yourself - all fuelled by mentorship and empowerment

Benefits

• Relocation benefits - we’ll book your domestic travel if you are not in Bangalore and help you with 2 weeks of accommodation
• Homemade lunch at the office and a pantry with snacks, fresh coffee & tea
• All the IT essentials and tools you’ll need to be successful in your role, everyone at the office gets an external monitor, ergonomic seating and a mechanical keyboard
• Frequent outings, company-sponsored outdoor events, celebrations for milestones, trips for the entire team and sponsorships to participate at international company events at exotic destinations
• Profit-sharing bonuses based on company growth, tenure and performance
• Paid time off - maternity, paternity, and marriage leave
• Insurance for the whole family

Roles & Responsibilities

• Data Engineering Excellence: Design and implement data pipelines using formats like JSON, Parquet, CSV, and ORC, utilizing batch and streaming ingestion.
• Cloud Data Migration Leadership: Lead cloud migration projects, developing scalable Spark pipelines.
• Medallion Architecture: Implement Bronze, Silver, and gold tables for scalable data systems.
• Spark Code Optimization: Optimize Spark code to ensure efficient cloud migration.
• Data Modeling: Develop and maintain data models with strong governance practices.
• Data Cataloging & Quality: Implement cataloging strategies with Unity Catalog to maintain high-quality data.
• Delta Live Table Leadership: Lead the design and implementation of Delta Live Tables (DLT) pipelines for secure, tamper-resistant data management.
• Customer Collaboration: Collaborate with clients to optimize cloud migrations and ensure best practices in design and governance.

Educational Qualifications

• Experience: Minimum 5 years of hands-on experience in data engineering, with a proven track record in complex pipeline development and cloud-based data migration projects.
• Education: Bachelor’s or higher degree in Computer Science, Data Engineering, or a related field.
• Skills
• Must-have: Proficiency in Spark, SQL, Python, and other relevant data processing technologies. Strong knowledge of Databricks and its components, including Delta Live Table (DLT) pipeline implementations. Expertise in on-premises to cloud Spark code optimization and Medallion Architecture.

Good to Have

• Familiarity with AWS services (experience with additional cloud platforms like GCP or Azure is a plus).

Soft Skills

• Excellent communication and collaboration skills, with the ability to work effectively with clients and internal teams.
• Certifications
• AWS/GCP/Azure Data Engineer Certification.

Experience

Fresher to ~2 years of relevant experience is acceptable.

Education

HSC and Graduation is preferred.

Key Responsibilities

● Source new sales opportunities through outbound cold calls and emails.

● Understand customer needs and requirements.

● Route qualified opportunities to the appropriate sales executives for further development

and closure.

● Research accounts, identify key players and generate meetings

● Enter, update, and maintain CRM information on leads, prospects, and opportunities

Benefits:

● 5 days working culture. (6 Days if needed)

● Competitive salary and commission structure.

● Lunch and evening Snacks

● Medical insurance.

● Opportunities for career growth and professional development.

● Friendly and supportive work environment.

● Paid time off and other company benefits.

● Incentives will be based on your own lead closer

Mandatory (Experience 1): Minimum 4+ years of experience in user analytics or behavioural data analysis, focusing on user app and web journeys

Mandatory (Experience 2): Experience in analyzing clickstream and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, or Firebase

Mandatory (Skills 1): Hands-on experience in A/B testing, including hypothesis design, experimentation, and result interpretation.

Mandatory (Skills 2): Strong analytical ability to identify behavioral patterns, anomalies, funnel drop-offs, and engagement trends from large datasets.

Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI for dashboard creation and data storytelling.

Mandatory (Skills 4): Basic understanding of UX principles and customer journey mapping, collaborating effectively with UX/CX teams

Mandatory (Company): B2C product Companies (fintech, or e-commerce organizations with large user behavior dataset is a plus)

Mandatory (Note): Don't want data analysis but business/product/user analysts

Preferred

Responsibilities include:

1. Designing, developing & deploying the product

2. Work as part of a team to build React Native iOS / Android applications

3. Architect, build and maintain excellent React Native applications with clean code

4. Translating wireframes and PSD designs into functional responsive apps, Implement pixel perfect UI's that match designs

5. Binding UI elements to JavaScript object models, work with native modules when required

6. Creating RESTful services with Node.js

7. Developing scalable web architectures

8. Working in a cross-functional team to deliver a complete user experience

9. Creating unit and integration tests to ensure the quality of code

10. Being responsive to change requests and feature requests

11. Writing code that is cross-platform and cross-device compatible

12. Co-ordinating end-to-end implementation

13. Release applications to iOS and Google Play stores

Our client is the fastest growing company in the space of student mobility in Asia Pacific as per Financial times.

More about them

- Long-term accommodation booking platform for students (think booking.com for student housing).

- Helps 80M students worldwide, find and book full-time accommodations near their universities, without the hassle of negotiation, nonstandardized and cumbersome paperwork, and broken payment process.

- Leading student housing platform globally, with 1M+ student housing units listed in 6 countries and across 80 cities.

- Growing rapidly and targeting $400M in annual gross bookings value by 2022.

Key Skill

• 8-13 years of relevant experience
• Strong analytical and problem solving skills
• Knowledge of software design, testing and development practices
• Must have hands on experience in Q/KDB+.
• Good knowledge of Python, Java, C++, Shell Script(any one)
• Good knowledge on SQL/PLSQL and databases (any RDBMS)
• Have experience on using Git/Bit bucket
• Good communication skills, both verbal and written.
• Ability to work under pressure, with minimal supervision, and in a team environment
• Detail-oriented and with strong organizational skills

• Be bold in building industry-first consumer-facing products that actualize the company’s vision
• Keenly understand user needs and demonstrate first-principles thinking in building solutions for the same
• Be responsible for developing and delivering the product roadmap

• 3-4 years of experience in building products at B2C start-ups
• Case studies involving deep customer insight
• Taken decisions based on strong analytics and/or intuition from time to time
• Growth mindset - moving quickly, shipping products, scaling
• Ability to act as a bridge between business and engineering teams
• The website is yet to reflect our direction going ahead.
• We have been generating transactions in the market using WhatsApp before productizing the same

Intro

Our data and risk team is the core pillar of our business that harnesses alternative data sources to guide the decisions we make at Rely. The team designs, architects, as well as develop and maintain a scalable data platform the powers our machine learning models. Be part of a team that will help millions of consumers across Asia, to be effortlessly in control of their spending and make better decisions.

What will you do
The data engineer is focused on making data correct and accessible, and building scalable systems to access/process it. Another major responsibility is helping AI/ML Engineers write better code.

• Optimize and automate ingestion processes for a variety of data sources such as: click stream, transactional and many other sources.

• Create and maintain optimal data pipeline architecture and ETL processes
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Develop data pipeline and infrastructure to support real-time decisions
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data' technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
  
  

What will you need
• 2+ hands-on experience building and implementation of large scale production pipeline and Data Warehouse
• Experience dealing with large scale

• Proficiency in writing and debugging complex SQLs
• Experience working with AWS big data tools
  • Ability to lead the project and implement best data practises and technology

Data Pipelining

• Strong command in building & optimizing data pipelines, architectures and data sets
• Strong command on relational SQL & noSQL databases including Postgres
• Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

Big Data: Strong experience in big data tools & applications

• Tools: Hadoop, Spark, HDFS etc
• AWS cloud services: EC2, EMR, RDS, Redshift
• Stream-processing systems: Storm, Spark-Streaming, Flink etc.
• Message queuing: RabbitMQ, Spark etc
  
  

Software Development & Debugging

• Strong experience in object-oriented programming/object function scripting languages: Python, Java, C++, Scala, etc
• Strong hold on data structures & algorithms

What would be a bonus

• Prior experience working in a fast-growth Startup
• Prior experience in the payments, fraud, lending, advertising companies dealing with large scale data