- Driving Customer Success Outcomes: Increasing renewals, reducing churn, identifying up-sell opportunities, influencing increased life-time-value through higher product adoption and customer health scores, and driving growth through increased advocacy and customer referenceability, for SMB customers.
- Leading the overall journey for Customer Success: Mapping the customer journey and developing interventions for each step, driving engagement with customer marketing, analyzing data and customer feedback, and continuously improving the customer experience.
- Managing Customer Success Activities such as onboarding, training, services, customer success management, support, account management, up-sells, and advocacy.
- Building and Leading a World Class Customer Success team: Recruiting, training, and managing high potential individuals including Customer Success Reps, Operations, and Support.
- Measuring the effectiveness of the Customer Success team with key goals, operational metrics, and outcomes for the team
- Technology and Systems for Effectiveness: Setting up systems and tools for managing customer relationships, tracking data, and improving referencability.
- Working Closely with customer stakeholders (Sales, Product, and Marketing) to establish a stronger customer relationship and experience
- Aligning with Product Marketing to market to existing customers and increasing engagement
- Aligning with Product Managers for driving product roadmap based on customer feedback and usage data
- Aligning with Sales for driving retention and up-sells by improving engagement and retention.
What you need to have:
- You’ve at least had around 4-12 years in customer success roles
- Exp in SAAS, handled US market and minimum 2 yrs in team handling.
- You’ve preferably worked in SaaS, Ad-Tech, and/ or Analytics, selling to the US market
- You have strong customer empathy, a desire to drive revenue and business outcomes
- You drive outcomes through persuasion, negotiation and building consensus with external and internal stakeholders
- You’re a leader with the ability to inspire others and drive outcomes as a unit
- You have excellent communication and presentation skills
- You’re analytical and process-oriented, with the ability to make data-aware decisions
- You have a great understanding of SaaS business models and its value drivers
Shubham Vishwakarma
Full Stack Developer - Averlon
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PythonBlue Owls Solutions is looking for a mid-level Azure Data Engineer with approximately 4 years of hands-on experience to join our growing data team. In this role, you will design, build, and maintain scalable data pipelines and architectures that power business-critical analytics and reporting. You'll work closely with cross-functional teams to transform raw data into reliable, high-quality datasets that drive decision-making across the organization.
Required Skills
- 4+ years of professional experience as a Data Engineer or in a similar data-focused role
- Strong proficiency in SQL for data manipulation, querying, and performance optimization
- Hands-on experience with PySpark for large-scale data processing and transformation
- Solid working knowledge of the Microsoft Azure ecosystem (Azure Data Factory, Azure Data Lake, Azure Synapse, etc.)
- Experience with Microsoft Fabric for end-to-end data analytics workflows
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- Understanding of data modeling concepts, dimensional modeling, and data governance best practices
Interview Process
- Take-Home Assessment
- 60-Minute Technical Interview
- Culture Fit Round
Preferred Skills & Certifications
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
- Microsoft Certified: Fabric Data Engineer Associate (DP-700)
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- Familiarity with version control systems such as Git
- Exposure to real-time streaming data solutions
- Experience working in Agile or Scrum environments
- Strong communication skills with the ability to translate technical concepts for non-technical stakeholders
What We Offer
- Competitive salary and performance-based bonuses
- Flexible hybrid options
- Opportunities for professional development, training, and certification sponsorship
- A collaborative, innovation-driven team culture
- Paid time off and company holidays
EKO STAY is a leader in professionally managed vacation homes, offering curated homestay experiences across India. Founded in 2018 by experts in hospitality, the company operates over 150 thoughtfully designed villas across 12 cities. Known for its focus on innovation, customer satisfaction, and sustainable growth, EKO STAY sets benchmarks in alternative accommodations. Guests enjoy a blend of comfort, convenience, and unforgettable experiences with every stay.
The ORM (Online Reputation Management) Executive is responsible for optimizing online listings, managing brand identity, and handling client
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through various strategies, ensuring customer satisfaction, and maintaining a
positive brand image.
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Monitor and manage reviews and ratings on Online Travel Agencies (OTAs).
Implement strategies to improve overall ratings and manage feedback
effectively.
Engage with customers through reviews to foster positive relationships and
address concerns.
- Website Listing Optimization:
Regularly update and optimize property listings on the company website.
Ensure all listings are accurate, detailed, and attractive to potential clients.
- Image Optimization:
Optimize images on the website for better performance and visual appeal.
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Collaborate with the design team to create compelling visuals that align with
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Uphold and promote the company’s brand identity across all online platforms.
Ensure all online content reflects the company’s values, mission, and branding
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Document and report recurring issues to improve overall service quality.
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Develop and implement damage control strategies to handle negative
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Communicate with affected clients to restore confidence and trust in the brand.
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Identify and list new properties on various platforms.
Monitor the performance of listings and delist properties that are inactive or
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Job brief
We are looking for a Lead Data Scientist to lead a technical team and help us gain
useful insight out of raw data.
Lead Data Scientist responsibilities include managing the data science team, planning
projects and building analytics models. You should have a strong problem-solving ability
and a knack for statistical analysis. If you’re also able to align our data products with our
business goals, we’d like to meet you.
Your ultimate goal will be to help improve our products and business decisions by
making the most out of our data.
Responsibilities
● Conceive, plan and prioritize data projects
● Ensure data quality and integrity
● Interpret and analyze data problems
● Build analytic systems and predictive models
● Align data projects with organizational goals
● Lead data mining and collection procedures
● Test performance of data-driven products
● Visualize data and create reports
● Build and manage a team of data scientists and data engineers
Requirements
● Proven experience as a Data Scientist or similar role
● Solid understanding of machine learning
● Knowledge of data management and visualization techniques
● A knack for statistical analysis and predictive modeling
● Good knowledge of R, Python and MATLAB
● Experience with SQL and NoSQL databases
● Strong organizational and leadership skills
● Excellent communication skills
● A business mindset
● Degree in Computer Science, Data Science, Mathematics or similar field
● Familiar with emerging/cutting edge, open source, data science/machine learning
libraries/big data platforms
Python
Amazon Web Services (AWS)Skills:
- Expertise in Python 3 on AWS serverless
- Experience in AWS serverless stack Appsync, Lambda, Cognito, API Gateway, DynamoDB, Elasticsearch, SQS, S3, Code commit & Code Deploy.
- Proficient in modern microservice-based architectures and methodologies.
- Experience in a database technology, preferably No-SQL such as AWS DynamoDB.
- Build human-centric UX with us using technologies like React, TypeScript, GraphQL, and CSS-in-JS.
- Experience building data processing pipelines (SQS, Kinesis, DynamoDB, AWS Lambda, or similar)
- Deep technical hands-on experience developing in REST/JSON or SOAP/XML, combined with strong knowledge of concepts such as CORs (Cross Origins Resources), headers, security, JSON and http concept.
- Experience with Github and advanced Github features (good to have).
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Summary
We are building the fastest, most reliable & intelligent trading platform. That requires highly available, scalable & performant systems. And you will be playing one of the most crucial roles in making this happen.
You will be leading our efforts in designing, automating, deploying, scaling and monitoring all our core products.
Tech Facts so Far
1. 8+ services deployed on 50+ servers
2. 35K+ concurrent users on average
3. 1M+ algorithms run every min
4. 100M+ messages/min
We are a 4-member backend team with 1 Devops Engineer. Yes! this is all done by this incredible lean team.
Big Challenges for You
1. Manage 25+ services on 200+ servers
2. Achieve 99.999% (5 Nines) availability
3. Make 1-minute automated deployments possible
If you like to work on extreme scale, complexity & availability, then you will love it here.
Who are we
We are on a mission to help retail traders prosper in the stock market. In just 3 years, we have the 3rd most popular app for the stock markets in India. And we are aiming to be the de-facto trading app in the next 2 years.
We are a young, lean team of ordinary people that is building exceptional products, that solve real problems. We love to innovate, thrill customers and work with brilliant & humble humans.
Key Objectives for You
• Spearhead system & network architecture
• CI, CD & Automated Deployments
• Achieve 99.999% availability
• Ensure in-depth & real-time monitoring, alerting & analytics
• Enable faster root cause analysis with improved visibility
• Ensure a high level of security
Possible Growth Paths for You
• Be our Lead DevOps Engineer
• Be a Performance & Security Expert
Perks
• Challenges that will push you beyond your limits
• A democratic place where everyone is heard & aware
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This is a part time, remote role. It will require a commitment of 21 hours per week.
We are a fast growing mobile app product company with several products running on the Playstore and are looking for enthusiastic candidates to join us.
Minimum 7 years of experience in Salesforce Sales & CPQ Cloud or any other CPQ Product
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- Strong Salesforce CPQ functional & technical knowledge
- Strong experience in configuring & customizing Salesforce CPQ application
- Experience in customized CPQ integration with CRM/ERP applications
- In depth knowledge in product configuration & rules, commerce process, document engine and pricing functionality in CPQ
- Strong experience in Agile way of working
- DevOps practitioner with Bitbucket, Git and CI/CD experience
- Good understanding and exposure to Salesforce DX
- Proven knowledge of business process and its KPIs, including best practices to support the relevant business processes
- Good Communication, Analytical & problem-solving skill
React.js
Javascript
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Vue.js- Developing new user-facing features.
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- Researching and applying new technologies, techniques, and best practices.
What you need to have:
- Experience in working on frameworks like React and VueJS
- Excellent teamwork skills, flexibility, and ability to handle multiple tasks.
- Strong understanding of Object-Oriented Programming, Data Structures, and Algorithms .
- Strong knowledge of Javascript, HTML5, CSS3.
- Extensive experience working on Javascript
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- Work with business partners to define ways to leverage data to develop platforms and solutions to drive business growth
- Engage collaboratively with project teams to support project objectives through the application of sound data architectural principles; support the project with knowledge of existing data assets and provide guidance on reusable data structures
- Share knowledge of external and internal data capabilities and trends, provide leadership, and facilitate the evaluation of vendors and products
- Utilize advanced data analysis, including statistical analysis and data mining techniques
- Collaborate with others to set an enterprise data vision with solid recommendations, and work to gain business and IT consensus
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- 15+ years of experience partnering with business managers to develop technical strategies and architectures to support their objectives
- 10+ years of hands-on experience with - Master Data Management, Data Governance, Data Quality, Business Intelligence and/or Data Warehousing
- Demonstrable experience architecting MDM solutions from scratch or enhancing existing MDM solution for large-scale organizations
- Lead and manage master data management, data governance and/or data quality projects through all phases of the project lifecycle from planning, blueprint planning, requirements gathering, design, development, testing, and go live
- Recommend data governance processes, approaches, organizational models, and MDM technology platforms
- Advice on leading practices for the implementation of data governance, data quality and master data management projects
- Architect MDM solutions and provide business, governance, and technical recommendations
- Influence technology direction at the divisional or enterprise level based on broad expertise across multiple software platforms and technologies
- Transfer knowledge and leading practices to the technical team(s)
- Excellent knowledge of ETL and ELT patterns and when to use either one; experience selecting among different tools that could be leveraged to accomplish this (Talend, Informatica, Azure Data Factory, SSIS, SAP Data Services)
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- Experience working with solutions delivery teams using Agile/Scrum ore similar methodologies
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- Experience with enterprise systems, like CRM, ERP, Field Services Management, Supply Chain solutions, HR systems
- Ability to work independently, establishing strategic objectives, project plans, and milestones
- Exceptional written, verbal & presentation skills
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Full Stack Developer - Averlon