Project Manager

Key Responsibilities:

1. Prepare accurate financial statements including Profit & Loss, Balance Sheet, and Cash Flow statements using Zoho Books.
2. Manage taxation including GST, TDS, and Income Tax compliance.
3. Ensure adherence to accounting standards and regulatory requirements.
4. Supervise and mentor the accounts team, ensuring smooth day-to-day operations.
5. Participate in budgeting and financial planning to support business objectives.
6. Finalize accounts and coordinate statutory audits with auditors.
7. Analyze financial data to provide insights and recommendations for management.
8. Handle miscellaneous accounting and reporting tasks as required.

Education & Experience:

1. Bachelor's or Master's degree in Accounting, Finance, or Commerce.
2. Minimum 5 years of experience in accounting, preferably in solar, manufacturing, or related sectors.
3. Mandatory: Hands-on experience with Zoho Books.
4. Knowledge of similar accounting tools like Tally, QuickBooks, SAP, or similar is a plus.
5. Strong knowledge of GST, TDS, Income Tax, and financial regulations.

Skills & Attributes:

1. Strong analytical and problem-solving skills.
2. Leadership abilities with experience supervising a team.
3. Attention to detail and commitment to accuracy.
4. Ability to manage deadlines and coordinate with auditors effectively.

What We Offer:

1. Opportunity to work in a growing renewable energy company.
2. Collaborative and supportive work environment.
3. Exposure to strategic financial planning and decision-making.

Position Title : Frontend / Chrome Extension Developer (React + TypeScript)

Experience : 3+ years

Location : Remote

Job Role Summary :

Build and ship production-ready Chrome extensions that inject UI into existing web apps. Own content scripts, DOM integration, performance, and accessibility (WCAG 2.1 AA).

Mandatory Skills :

React, TypeScript, Chrome Extensions (MV3), Content Scripts, DOM Injection, MutationObserver, TailwindCSS/CSS Modules, Accessibility (WCAG 2.1 AA).

Key Responsibilities :

• Develop Chrome extensions using React + TypeScript.
• Inject and manage UI components within third-party web app DOMs.
• Write and maintain content scripts; handle dynamic pages via MutationObserver.
• Implement clean, responsive styling with TailwindCSS or CSS Modules.
• Ensure accessibility (WCAG 2.1 AA), keyboard navigation, and ARIA semantics.
• Integrate with APIs, manage extension permissions, storage, and messaging.
• Optimize performance, handle edge cases across sites, and write basic tests.

Required Skills :

• Strong React + TypeScript in production.
• Chrome Extension architecture: manifest v3, content/background scripts, messaging, permissions.
• DOM manipulation and safe UI injection strategies.
• MutationObserver, event delegation, handling SPA route changes.
• TailwindCSS or CSS Modules; solid CSS fundamentals.
• Accessibility (WCAG 2.1 AA) and cross-browser compatibility (Chromium/Firefox optional).
• Familiarity with build tooling (Vite/Webpack), linting, and Git.

Nice-to-Have :

• Experience with service workers, storage (sync/local), and i18n.
• Testing with Jest/RTL/Playwright.
• Security basics for extensions (CSP, sandboxing).

Review Criteria:

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Role & Responsibilities:

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

Strong Product, UI/UX Designer Profile, with a focus on B2B SaaS/ Enterprise Products

Mandatory (Experience 1) – Must have 2+ years of hands-on experience in Product design, with a strong track record in B2B SaaS

Mandatory (Experience 2) – Must have experience in designing for complex domains such as automation platforms, low-code platforms, data management tools etc

Mandatory (Tools) – Proficient in Figma and familiar with modern design tools such as Notion, Framer, Webflow, Builder.io, Zapier, Replit, Lovable.

Mandatory (Portfolio) – Strong portfolio showcasing case studies, user research and UX work for B2B Enterprise SaaS products

Mandatory (Background) - BDes / MDes from Good Design college (Diploma not considered) OR B2B SaaS Company

Mandatory (Skill) - Must have Good Communication Skills

Description: 

As a Data Engineering Lead at Company, you will be at the forefront of shaping and managing our data infrastructure with a primary focus on Google Cloud Platform (GCP). You will lead a team of data engineers to design, develop, and maintain our data pipelines, ensuring data quality, scalability, and availability for critical business insights. 

Key Responsibilities: 

1. Team Leadership: 

a. Lead and mentor a team of data engineers, providing guidance, coaching, and performance management. 

b. Foster a culture of innovation, collaboration, and continuous learning within the team. 

2. Data Pipeline Development (Google Cloud Focus): 

a. Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) using services such as BigQuery, Dataflow, and Dataprep.

b. Implement best practices for data extraction, transformation, and loading (ETL) processes on GCP. 

3. Data Architecture and Optimization: 

a. Define and enforce data architecture standards, ensuring data is structured and organized efficiently. 

b. Optimize data storage, processing, and retrieval for maximum 

performance and cost-effectiveness on GCP. 

4. Data Governance and Quality: 

a. Establish data governance frameworks and policies to maintain data quality, consistency, and compliance with regulatory requirements. b. Implement data monitoring and alerting systems to proactively address data quality issues. 

5. Cross-functional Collaboration: 

a. Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that drive business insights. 

b. Participate in discussions regarding data strategy and provide technical expertise. 

6. Documentation and Best Practices: 

a. Create and maintain documentation for data engineering processes, standards, and best practices. 

b. Stay up-to-date with industry trends and emerging technologies, making recommendations for improvements as needed. 

Qualifications 

● Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. 

● 5+ years of experience in data engineering, with a strong emphasis on Google Cloud Platform. 

● Proficiency in Google Cloud services, including BigQuery, Dataflow, Dataprep, and Cloud Storage. 

● Experience with data modeling, ETL processes, and data integration. ● Strong programming skills in languages like Python or Java. 

● Excellent problem-solving and communication skills. 

● Leadership experience and the ability to manage and mentor a team.

We are looking for a highly skilled and experienced Google Ads Expert to join our marketing team. As a Google Ads Expert, you will be responsible for developing and implementing effective Google Ads campaigns to drive targeted traffic, generate leads, and increase conversions. Your in-depth knowledge of Google Ads and experience in optimizing campaigns will contribute to the success of our digital marketing efforts.

Chatbot Developer

We are a Conversational AI- Product Development company which is located in the USA, Bangalore.

We are looking for a Senior Chatbot /Javascript Developer to join the Avaamo PSG(delivery) team.

Responsibilities:

• Independent team member for analyzing requirements, designing, coding, and implementing  Conversation AI products.
• Its a  product expert work closely with IT Managers and Business Groups to gather requirements and translate those into the required technical solution.
• Drive solution implementation using the Conversational design approach.
• Develop, deploy and maintain customized extensions to the Avaamo platform-specific to customer requirements.
• Conduct training and technical guidance sessions for partner and customer development teams.
• Evaluating reported defects and the correction of prioritized defects.
• Travel onsite to customer locations for close support.
• Document how to's and implement best practices for Avaamo product solutions.

Requirements:

• Strong programming experience in javascript, HTML/CSS.
• Experience of creating and consuming REST APIs and SOAP services.
• Strong knowledge and awareness of Web Technologies and current web trends.
• Working knowledge of Security in Web applications and services.
• experience in using the NodeJS framework with good understanding of the underlying architecture.
• Experience of deploying web applications on Linux servers in production environment.
• Excellent communication skills.

Good to haves:

• Full stack experience UI and UX design experience or insights
• Working knowledge of AI, ML and NLP.
• Experience of enterprise systems integration like MS Dynamics CRM, Salesforce, ServiceNow, MS Active Directory etc.
• Experience of building Single Sign On in web/mobile applications.
• Ability to learn latest technologies and handle small engineering teams.

Data Scientist-

We are looking for an experienced Data Scientists to join our engineering team and

help us enhance our mobile application with data. In this role, we're looking for

people who are passionate about developing ML/AI in various domains that solves

enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering

problems.

As one of the earliest members in engineering, you will have the flexibility to design

the models and architecture from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

If you are passionate about your data and analytics, love integrating SaaS platforms, and enjoy talking to customers, you'll have a great time here at CutsomerSuccessBox! We recognize both the opportunities and the challenges that come along. 

We're looking for a great Implementation Engineer to assist our customers in integrating with 3rd party tools, help them get the data via APIs, JavaScripts or other analytics tools so that the customers can start getting value from CustomerSuccessBox (CSB) product. This is a great role for someone who loves data & to build their career in Customer Success domain & work with the world-class team.

Implementation Engineer’s role is a key part of the Product & Customer Success team. As an Implementation Engineer, you will be responsible for guiding customers in getting the data from various 3rd party tools & make sure you are helping the Customer Success team to onboard customers. You will act as a trusted advisor. You will become an integral part of the company and our customers.

Your Primary Responsibilities

• Understand Customer Operations Tech Stack. What platforms are they using for CRM, Support, Billing, Analytics, etc) 
• Handhold customer in syncing all the data sources with CSB. Many of which are pre build native integrations which are activated by a simple click through flow. 
• Devising smart engineering solutions for each customer's unique enterprise stack (CRM/Billing/Support/Analytics).
• You will get opportunities to learn & develop on different technologies and platforms. 
• Understand the business requirement as to prioritize data sources and objects.
• Conduct workshops with customers to break the requirement in smaller & achievable format.
• Create an implementation framework to capture and decide what are all the data that is required
• Plan meetings with customers & their developers to understand how their data is structured. Consult them the best practices of sending that data to CSB.
• You will always be connected to the CSB technical team, so that you can leverage them to drive customer implementation.
• Resolve customer issues, with or without collaboration with other teams; 
• Build strong customer relationships by maintaining high levels of engagement and communication.
• Collaborate on creating best practices guide for developers, Update API documentation & update & maintain the Integration documentation.
• Work with CustomerSuccess Team to share insights with customers & prepare Customised reports on BI tools
• Pass Feedback to Product Management
• Work with the Support & CustomerSuccess team to coordinate and prioritize open items.  

What experience will you gain?

• Tech – Learning about huge enterprises tech stack
• Tech – Understanding enterprise technical architecture and implementation
• Tech - Understanding of APIs/JS/analytics
• Business / Tech - Use of enterprise platforms like Business Intelligence (BI) / SaaS platforms like CRM (Salesforce, Hubspot), support (Zendesk, Intercom, Freshdesk), Billing (Chargebee, Stripe, Quickbooks), etc.
• International Customer exposure – Talking to industry leaders

What Makes You The Right Fit

• Any experinece where you have done some Customer facing role. 
• Is hands on with BI tools. (good to have)
• Has an understanding of the B2B SaaS ecosystem & tools usually companies use. 
• Strong communication and interpersonal skills, both written and verbal; This is a must have since we have an international customer base that you will be working with.
• Undergraduate degree (BE/B.Tech) in Computer Science or Information Technology
  
  

What This Is Not

• This is NOT a 9 to 5 job.
• We don't offer or encourage any hierarchical structure.
  
  

Compensation

• Among the best in the industry.
• Cash, Incentives

Why CustomerSuccessBox?

CustomerSuccessBox is the leading AI powered Enterprise Customer Success platform. It helps global B2B SaaS businesses to get to 130%+ MRR Retention, unlock 3X upsell opportunities and double LTV.

In SaaS, 95% of the Lifetime value (LTV) is locked in as ‘Future’ Recurring Revenue. BUT businesses don't know who will Renew / Buy-more / At-Risk until it’s too LATE.

CustomerSuccessBox technology tracks real time product adoption and customer engagement. It’s AI Powered ‘Early Warning System’ uncovers the blind spots for Proactive Interventions. It's advanced automation leads to a faster time to value, higher product adoption and reduced cost of customer success.

Leading customer-centric global enterprises such as Headset - Seattle, Aislelabs - Toronto, Locus - Bangalore and Raken - San Diego.

People and Culture

CustomerSuccessBox is a B2B SaaS customer success platform, Venture backed (https://inc42.com/buzz/customersuccessbox-funding-pi-ventures-axilor/) by pi Ventures and Axilor in venture funding. CustomerSuccessBox is founded and run by CEO, Puneet Kataria, recognized by LinkedIn as a Global Top Voice of 2019. 

At CustomerSuccessBox, you will become part of a passionate team that works together to create value for our customers and their customers.

As a member of the CustomerSuccessBox team, you will own the problems and will enjoy both authority and accountability over deliverables. You will be rewarded for business results delivered. All the credit of the success is yours to take, but it will come with the responsibility of owning up to the failures too, we call them ‘failed experiments’.

In return, we are committed to providing you with every opportunity to learn, grow and reach the highest level of your ability and potential.

CustomerSuccessBox is an equal opportunity employer. All candidates for employment will be considered without regard to race, color, religion, gender, ethnicity, national origin, disability, or sexual orientation.

At Spoonshot, we are building one of a kind SaaS tools for the F & B industry, the product you will develop is used by some of the largest food companies in the world. We are looking for programmers with a keen eye for design for the position of Front End Developer. Frontend Developers are responsible for ensuring the alignment of web design and user experience requirements, optimizing web pages for maximum efficiency and maintaining brand consistency across all web pages, among other duties.

An ideal candidate would be one who has a minimum of 2 years experience in designing and delivering high performing and pixel perfect frontend applications, who has passion for startups and can work independently under tight deadlines.

Your responsibilities will include:

• Reviewing application requirements and interface designs.
• Developing and implementing highly-responsive user interface components using React concepts
• Implementing web-based user interactions.
• Writing application interface codes using JavaScript following React JS workflows.
• Developing and implementing front-end architecture to support user interface concepts.
• Monitoring and improving front-end performance.
• Optimising web pages for maximum speed and scalability.
• Work alongside with product engineering, designer and product manager. Ensure all elements on web creation are consistent.

Job Skills:

• Excellent communication and interpersonal skills.
• Understanding of software engineering practices and key design principles.
• At least one progress web app developed by you must be live.
• Proficiency with HTML, CSS, JavaScript and jQuery.
• Understanding of server-side CSS.
• Experience with responsive and adaptive design.
• Eye for details in UX/UI.
• Experience with optimising SEO of websites and webapps.
• In-depth knowledge and passion for JavaScript, CSS, HTML and front-end languages
• Expertise in React tools including Web pack, Enzyme, Redux, and Flux.