Content Writer

About MyOperator

MyOperator is a Business AI Operator, a category-leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform. Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount.

Role Overview

The Team Lead Customer Success will lead a team of Customer Success Representatives, ensuring high levels of customer satisfaction, retention, and growth. This role involves managing team performance, driving process improvements, and fostering strong customer relationships. 

Responsibilities: 

Revenue Growth and Retention: 

• Drive upsell and cross-sell initiatives to maximize customer value. 
• Implement strategies for revenue retention and expansion within the existing customer base.
• Monitor and improve product adoption rates among customers. 
• Develop and execute churn management strategies to minimize customer attrition.

Team Leadership and Management: 

• Lead, mentor, and develop a team of Customer Success Representatives
• Set team goals, monitor performance, and provide regular feedback and coaching.
• Conduct performance reviews and identify training needs. 
• Ensure team adherence to established processes and best practices. 

Customer Relationship Management: 

• Oversee and manage key customer relationships. 
• Address and resolve escalated customer issues in a timely and effective manner.
• Proactively identify and mitigate potential customer risks. 
• Drive customer satisfaction and loyalty initiatives. 

Client Onboarding: 

• Oversee the onboarding process for new clients, ensuring a satisfactory experience.
• Develop and refine onboarding procedures to facilitate future upsell and cross-sell opportunities. 

Process Improvement and Optimization: 

• Identify areas for process improvement within the Customer Success department.
• Develop and implement strategies to enhance efficiency and effectiveness.
• Monitor key metrics and generate reports on team and customer performance.
• Utilize data to make informed decisions and drive continuous improvement. 

Collaboration and Communication: 

• Collaborate with other departments, including Sales, Product, and Support, to ensure a seamless customer experience. 
• Communicate effectively with team members, management, and customers.
• Participate in meetings and provide updates on team activities and customer issues. 

Qualifications

• Bachelor’s degree in Business Administration, Marketing, or a related field.
• 3+ years of experience in customer success and account management. 
• 2+ years of prior experience in a team lead or management role. 
• Proven experience in customer success, account management, 
• Proven team management experience.
• Strong communication, interpersonal, and problem-solving skills. 
• Proficiency in CRM software and other relevant tools. 
• Experience in the cloud telephony or SaaS industry is a plus. 

Key Skills: 

• Leadership and team management 
• Customer relationship management 
• Process improvement 
• Communication and interpersonal skills 
• Problem-solving 
• Data analysis 
• CRM software proficiency 

Additional Information 

• Opportunity for growth and advancement. 
• Dynamic and collaborative work environment 
• Chance to work with cutting-edge technology and solutions.

About Company:

Our client is AI-first visibility agency. We take B2B SaaS brands beyond

traditional SEO, optimising their presence so they’re the answer inside ChatGPT,

Perplexity, Claude, Bing and every emerging discovery layer. We’re a lean team,

profitable, and growing team with clients across the US, EU and India.

Key responsibilities

● Work actively on content pieces for clients and internal (Company)

● Maintain a single source of truth with version control, style guidelines and release

notes.

● Track engagement metrics, collect feedback and iterate quickly, in days, not

sprints.

● Writing optimized blog posts.

● Conducting competitor analysis.

● Updating existing content for better rankings and readability

● Updating existing content for better rankings

You’ll thrive here if you

● Have compelling long-form or product copy samples that have already driven

sign-ups, sales, or social traction.

● Understand (or can quickly learn) SaaS, product-led growth, operations in SaaS

and SEO fundamentals.

● Welcome concise, data-backed feedback

● Keep your own deadlines and communicate blockers early.

What We Offer

● Direct access to founders, zero bureaucracy, real impact from week one.

● Strong performers can convert to a full-time role with expanded responsibility.

● Monthly stipend of Rs.15k to 20k (Negotiable based on performance)

● A job offer upto ₹ 5 LPA post internship

Who can apply:

● Are available for full time (in-office) internship - HSR

● Can start the internship between 15th Oct'25 and 11th Nov'25

● Are available for duration of 3-6 months

● Are from Bangalore

● Have relevant skills and interests

Role: Full-Time, Long-Term Required: Python, SQL Preferred: Experience with financial or crypto data

OVERVIEW

We are seeking a data engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build robust, production-grade data infrastructure and grow with a small, focused team. You will own the data layer that feeds our machine learning pipeline—from ingestion and validation through transformation, storage, and delivery.

The ideal candidate is meticulous about data quality, thinks deeply about failure modes, and builds systems that run reliably without constant attention. You understand that downstream ML models are only as good as the data they consume.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency. You write clean, maintainable code for data pipelines—not throwaway scripts. Comfortable with Pandas, NumPy, and their performance characteristics. You know when to use Python versus push computation to the database.

SQL (Required): Advanced SQL skills. Complex queries, query optimization, schema design, execution plans. PostgreSQL experience strongly preferred. You think about indexing, partitioning, and query performance as second nature.

Data Pipeline Design (Required): You build pipelines that handle real-world messiness gracefully. You understand idempotency, exactly-once semantics, backfill strategies, and incremental versus full recomputation tradeoffs. You design for failure—what happens when an upstream source is late, returns malformed data, or goes down entirely. Experience with workflow orchestration required: Airflow, Prefect, Dagster, or similar.

Data Quality (Required): You treat data quality as a first-class concern. You implement validation checks, anomaly detection, and monitoring. You know the difference between data that is missing versus data that should not exist. You build systems that catch problems before they propagate downstream.

WHAT YOU WILL BUILD

Data Ingestion: Pipelines pulling from diverse sources—crypto exchanges, traditional market feeds, on-chain data, alternative data. Handling rate limits, API quirks, authentication, and source-specific idiosyncrasies.

Data Validation: Checks ensuring completeness, consistency, and correctness. Schema validation, range checks, freshness monitoring, cross-source reconciliation.

Transformation Layer: Converting raw data into clean, analysis-ready formats. Time series alignment, handling different frequencies and timezones, managing gaps.

Storage and Access: Schema design optimized for both write patterns (ingestion) and read patterns (ML training, feature computation). Data lifecycle and retention management.

Monitoring and Alerting: Observability into pipeline health. Knowing when something breaks before it affects downstream systems.

DOMAIN EXPERIENCE

Preference for candidates with experience in financial or crypto data—understanding market data conventions, exchange-specific quirks, and point-in-time correctness. You know why look-ahead bias is dangerous and how to prevent it.

Time series data at scale—hundreds of symbols with years of history, multiple frequencies, derived features. You understand temporal joins, windowed computations, and time-aligned data challenges.

High-dimensional feature stores—we work with hundreds of thousands of derived features. Experience managing, versioning, and serving large feature sets is valuable.

ENGINEERING STANDARDS

Reliability: Pipelines run unattended. Failures are graceful with clear errors, not silent corruption. Recovery is straightforward.

Reproducibility: Same inputs and code version produce identical outputs. You version schemas, track lineage, and can reconstruct historical states.

Documentation: Schemas, data dictionaries, pipeline dependencies, operational runbooks. Others can understand and maintain your systems.

Testing: You write tests for pipelines—validation logic, transformation correctness, edge cases. Untested pipelines are broken pipelines waiting to happen.

TECHNICAL ENVIRONMENT

PostgreSQL, Python, workflow orchestration (flexible on tool), cloud infrastructure (GCP preferred but flexible), Git.

WHAT WE ARE LOOKING FOR

Attention to Detail: You notice when something is slightly off and investigate rather than ignore.

Defensive Thinking: You assume sources will send bad data, APIs will fail, schemas will change. You build accordingly.

Self-Direction: You identify problems, propose solutions, and execute without waiting to be told.

Long-Term Orientation: You build systems you will maintain for years.

Communication: You document clearly, explain data issues to non-engineers, and surface problems early.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Engineering. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a data pipeline you built and maintained, (3) Links to relevant work if available, (4) Availability and timezone.

Analytics Job Description

We are hiring an Analytics Engineer to help drive our Business Intelligence efforts. You will

partner closely with leaders across the organization, working together to understand the how

and why of people, team and company challenges, workflows and culture. The team is

responsible for delivering data and insights that drive decision-making, execution, and

investments for our product initiatives.

You will work cross-functionally with product, marketing, sales, engineering, finance, and our

customer-facing teams enabling them with data and narratives about the customer journey.

You’ll also work closely with other data teams, such as data engineering and product analytics,

to ensure we are creating a strong data culture at Blend that enables our cross-functional partners

to be more data-informed.

Role : DataEngineer 

Please find below the JD for the DataEngineer Role..

  Location: Guindy,Chennai

How you’ll contribute:

• Develop objectives and metrics, ensure priorities are data-driven, and balance short-

term and long-term goals

• Develop deep analytical insights to inform and influence product roadmaps and

business decisions and help improve the consumer experience

• Work closely with GTM and supporting operations teams to author and develop core

data sets that empower analyses

• Deeply understand the business and proactively spot risks and opportunities

• Develop dashboards and define metrics that drive key business decisions

• Build and maintain scalable ETL pipelines via solutions such as Fivetran, Hightouch,

and Workato

• Design our Analytics and Business Intelligence architecture, assessing and

implementing new technologies that fitting

• Work with our engineering teams to continually make our data pipelines and tooling

more resilient

Who you are:

• Bachelor’s degree or equivalent required from an accredited institution with a

quantitative focus such as Economics, Operations Research, Statistics, Computer Science OR 1-3 Years of Experience as a Data Analyst, Data Engineer, Data Scientist

• Must have strong SQL and data modeling skills, with experience applying skills to

thoughtfully create data models in a warehouse environment.

• A proven track record of using analysis to drive key decisions and influence change

• Strong storyteller and ability to communicate effectively with managers and

executives

• Demonstrated ability to define metrics for product areas, understand the right

questions to ask and push back on stakeholders in the face of ambiguous, complex

problems, and work with diverse teams with different goals

• A passion for documentation.

• A solution-oriented growth mindset. You’ll need to be a self-starter and thrive in a

dynamic environment.

• A bias towards communication and collaboration with business and technical

stakeholders.

• Quantitative rigor and systems thinking.

• Prior startup experience is preferred, but not required.

• Interest or experience in machine learning techniques (such as clustering, decision

tree, and segmentation)

• Familiarity with a scientific computing language, such as Python, for data wrangling

and statistical analysis

• Experience with a SQL focused data transformation framework such as dbt

• Experience with a Business Intelligence Tool such as Mode/Tableau

Mandatory Skillset:

-Very Strong in SQL

-Spark OR pyspark OR Python

-Shell Scripting

About Jeeva.ai

At Jeeva.ai, we're on a mission to revolutionize the future of work by building AI employees that automate all manual tasks—starting with AI Sales Reps. Our vision is simple: "Anything that doesn’t require deep human connection can be automated & done better, faster & cheaper with AI." We’ve created a fully automated SDR using AI that generates 3x more pipeline than traditional sales teams at a fraction of the cost.

As a dynamic startup we are backed by Alt Capital (founded by Jack Altman & Sam Altman), Marc Benioff (CEO Salesforce), Gokul (Board Coinbase), Bonfire (investors in ChowNow), Techtsars (investors in Uber), Sapphire (investors in LinkedIn), Microsoft with $1M ARR in just 3 months after launch, we’re not just growing - we’re thriving and making a significant impact in the world of artificial intelligence.

As we continue to scale, we're looking for mid-senior Full Stack Engineers who are passionate, ambitious, and eager to make an impact in the AI-driven future of work.

About You

• Experience: 3+ years of experience as a Full Stack Engineer with a strong background in React, Python, MongoDB, and AWS.
• Automated CI/CD: Experienced in implementing and managing automated CI/CD pipelines using GitHub Actions and AWS Cloudformation.
• System Architecture: Skilled in architecting scalable solutions for systems at scale, leveraging caching strategies, messaging queues and async/await paradigms for highly performant systems
• Cloud-Native Expertise: Proficient in deploying cloud-native apps using AWS (Lambda, API Gateway, S3, ECS), with a focus on serverless architectures to reduce overhead and boost agility..
• Development Tooling: Proficient in a wide range of development tools such as FastAPI, React State Management, REST APIs, Websockets and robust version control using Git.
• AI and GPTs: Competent in applying AI technologies, particularly in using GPT models for natural language processing, automation and creating intelligent systems.
• Impact-Driven: You've built and shipped products that users love and have seen the impact of your work at scale.
• Ownership: You take pride in owning projects from start to finish and are comfortable wearing multiple hats to get the job done.
• Curious Learner: You stay ahead of the curve, eager to explore and implement the latest technologies, particularly in AI.
• Collaborative Spirit: You thrive in a team environment and can work effectively with both technical and non-technical stakeholders.
• Ambitious: You have a hunger for success and are eager to contribute to a fast-growing company with big goals.

What You’ll Be Doing

• Build and Innovate: Develop and scale AI-driven products like Gigi (AI Outbound SDR), Jim (AI Inbound SDR), Automate across voice & video with AI.
• Collaborate Across Teams: Work closely with our Product, GTM, and Engineering teams to deliver world-class AI solutions that drive massive value for our customers.
• Integrate and Optimize: Create seamless integrations with popular platforms like Salesforce, LinkedIn, and HubSpot, enhancing our AI’s capabilities.
• Problem Solving: Tackle challenging problems head-on, from data pipelines to user experience, ensuring that every solution is both functional and delightful.
• Drive AI Adoption: Be a key player in transforming how businesses operate by automating workflows, lead generation, and more with AI.

Ampro Export is seeking a detail-oriented and experienced Accountant to manage our financial operations. The ideal candidate will be responsible for preparing financial statements, managing accounts payable and receivable, performing reconciliations, and ensuring compliance with tax regulations. This role is critical to maintaining the financial health and integrity of our growing business.

Key Responsibilities:

• Prepare accurate and timely financial statements.
• Manage day-to-day accounting operations including accounts payable, accounts receivable, and general ledger entries.
• Perform regular reconciliations of bank statements and accounts.
• Ensure compliance with local, state, and federal tax regulations.
• Monitor and report on financial performance, providing insights to management.
• Assist in budget preparation and forecasting.

Requirements:

• Bachelor’s degree in Accounting, Finance, or a related field.

Benefits:

• Competitive salary package.
• Health insurance and other benefits.

Hi

About Company

Our client is a community-based marketplace for global wellness entrepreneurs (both in services and products) and consumers. They provide platform and technology to enable sustainable & holistic wellness professionals to be successful. For the consumers, they create health awareness through our enriching content and help them reach their health goals through our world-class Experts, tools, programs and products.

Role: Mobile Developer

Location: Noida (in office)

•       Experience in building complex applications using Flutter (preferred) or using similar mobile frameworks

•       2+ years’ experience in mobile application development

•       Knowledge AWS/cloud hosting

•       CI/CD development/deployment practices

.        Working with Docker containers

•       Modern software design practices

•       Secure coding best practices

•       Best practice knowledge of API development

•       Strong development testing knowledge - Unit testing, test automation

Bonus if you have:

•       Experience with platform channels or writing Flutter plugins to interact with native APIs

•       Back End C# .NET/ .Net Core

•       MS SQL experience

•       Experience with microservice architectures

Regards

Team Merito

Sales Executive

About the company

NoBroker.com is the world's largest C2C marketplace in online real estate. NoBroker is the 37th Indian start-up to have entered the unicorn club in 2021. With a cumulative 85 lakh customers, it has grown 10X in the last one year. With three rounds of funding of $151 MN, it is well funded by key US, Indian, Japanese & Korean investors like General Atlantic, Tiger Global SAIF Partners, KTB ventures, and Bee Next. It is headquartered in Bangalore with a team of 4000+ employees.

Job Title: Sales Executive

Location: Kaikondrahalli, Bangalore

Position Type: Fulltime

Salary Range:

UG|CTC of 4.8 LPA (3 lacs fixed + 1.80 lacs variable, few employees are

able to earn even 25,000 as a monthly variable)

PG|  CTC of 5.10 lacs (3.3 lacs fixed + 1.80 lacs variable, few employees are able to earn even 25,000 as monthly variable)

Qualification / Education and other Requirements:

• Education- Any Post Graduate/ Undergraduate (BBA,B.Tech, B,A, MBA,PGDM ,M.Te ch/M.COM/M.A etc with 0-1 yr exp.)
• Excellent verbal and written communication.
• Good Interpersonal skills, numerical and analytical ability.
• Decision making skills.
• Language required: English & Hindi (mandatory),

Kannada/Tamil/Marathi/Telugu (optional)

• Proficient in MS-Office (Excel, Word).
• Should be flexible for day shift- (9-hour of login between 8 AM - 10 PM).
• Comfortable with working 6 days a week and the week off will be on weekday.

**Laptop with webcam and good speed Internet connection is a must

Role and Responsibility – Sales Executive

• Identifies business opportunities by identifying prospects.
• Sells products by establishing contact and developing relationships with prospects recommending

solutions.

• Outbound calling on data collected through lead generation activities / secondary data sources.
• Daily follow-ups on older leads and work on new leads.
• Maintains quality service by establishing and enforcing organization standards.
• Must be energetic, well-spoken, and eager to close sales deals and generate revenue for the

organization.

About Training- Training will be provided for initial few days for an employee to understand end to

end process.