Manager – Finance and Accounts

Location: Bangalore

Experience: Fresher-2 years

Type: Full-time | On-site

Open Roles: 2

Start: Immediate

Why this role exists

Most AI agents fail not because of models—

but because they sound wrong, behave inconsistently, and don’t handle real conversations.

This role exists to own the craft layer:

• Make agents sound natural, human, and trustworthy
• Make them reliable across real-world conversations
• Make them fast to deploy without endless iteration cycles

What you’ll do

You will not just write prompts.

You will design conversational systems that perform in production.

1. Own conversational quality across deployments

• Achieve 80%+ quality scores on insurer QA audits
• Design conversations across:
• Hindi
• English
• 3+ regional languages
• Ensure agents sound:
• Natural
• Context-aware
• Consistent across interactions

2. Build a reusable prompt and workflow library

• Reduce new workflow launch time from 3 weeks → 5 days
• Create standardized:
• Prompt templates
• Conversation flows
• Objection handling patterns
• Ensure new deployments do not start from scratch

3. Design human-like conversational behavior

• Move agents from:
• Scripted → adaptive
• Robotic → human-like
• Focus on:
• Tone
• Pauses
• Context retention
• Personalization
• The output should feel like:
• “This sounds human”
• not
• “This sounds like a bot”

4. Improve agent performance continuously

• Analyze:
• Call transcripts
• Failure cases
• Drop-offs
• Iterate prompts and flows based on real usage data
• Ensure performance improves across:
• Conversion
• Resolution
• Customer experience

5. Reduce deployment friction

• Minimize back-and-forth during agent setup
• Create clarity in:
• Requirements
• Conversation logic
• Expected outcomes
• Enable faster, cleaner deployments with fewer iterations

6. Align conversations with business outcomes

• Design conversations that drive:
• Conversions
• Retention
• Resolution
• Ensure prompts are not just “good”—they are effective

What success looks like

• QA scores consistently ≥ 80% across languages
• New workflows go live in ≤ 5 days
• Agents sound natural and human-like
• Iteration cycles reduce significantly
• Conversation quality directly improves business outcomes

Who you are

• You have 0-2 years of experience in conversation design, content, or AI prompting
• You have worked on:
• Chatbots / voice bots / conversational systems
• You understand:
• Language nuances
• User psychology
• Real-world conversation flows
• You care about:
• Detail
• Quality
• Real user experience

What will make you stand out

• Experience working with:
• Multilingual conversational systems
• Strong writing and structuring ability
• Familiarity with:
• LLM prompting techniques
• Conversation analytics
• Ability to debug:
• Why a conversation failed, not just rewrite it

Compensation

Upto ₹50,000/month (fixed)

(Aligned with role scope and impact expectations)

Why join

• You will define how AI agents actually feel to customers
• Your work directly impacts:
• Customer experience
• Conversion rates
• Product perception
• You will build the craft layer of an AI platform

What this role is not

• Not generic content writing
• Not static script creation
• Not disconnected from real user interactions

What this role is

• A designer of conversational systems
• A builder of human-like AI experiences
• A driver of quality and performance in AI agents

One question to self-evaluate

Can you design conversations that consistently feel human, handle edge cases, and drive outcomes at scale?

What You will do:

● Play the role of Data Analyst / ML Engineer

● Collection, cleanup, exploration and visualization of data

● Perform statistical analysis on data and build ML models

● Implement ML models using some of the popular ML algorithms

● Use Excel to perform analytics on large amounts of data

● Understand, model and build to bring actionable business intelligence out of data that is available in different formats

● Work with data engineers to design, build, test and monitor data pipelines for ongoing business operations







Basic Qualifications:

● Experience: 4+ years.

● Hands-on development experience playing the role of Data Analyst and/or ML Engineer.

● Experience in working with excel for data analytics

● Experience with statistical modelling of large data sets

● Experience with ML models and ML algorithms

● Coding experience in Python







Nice to have Qualifications:

● Experience with wide variety of tools used in ML

● Experience with Deep learning







Benefits:

● Competitive salary.

● Hybrid work model.

● Learning and gaining experience rapidly.

● Reimbursement for basic working set up at home.

● Insurance (including a top up insurance for COVID

We have an urgent opening for a skilled and detail-oriented professional for the below role:

Quick Role Overview:

• Role: QA Automation Engineer
• Location: Hyderabad
• Job Type: Full-Time
• Experience: 6 – 10 Years
• Notice Period: Immediate to 30 Days Preferred

Job Description:

We are looking for a highly analytical QA Engineer with strong expertise in data validation and SQL-based testing. The ideal candidate will be responsible for ensuring the quality and integrity of data-driven applications by designing effective test strategies and executing comprehensive test plans.

This role requires hands-on experience with SQL, defect management, CI/CD pipelines, and automation tools, along with the ability to understand business requirements and translate them into test scenarios.

Key Responsibilities:

• Analyze business requirements and translate them into detailed test plans, scenarios, and test cases
• Perform data validation and ensure data accuracy using SQL queries
• Design, develop, and execute manual and automated test cases
• Manage defects by logging, tracking, and ensuring timely resolution
• Work closely with development and business teams to ensure quality deliverables
• Maintain and produce high-quality testing documentation
• Ensure system data integrity for daily operations
• Participate in CI/CD processes and support release cycles
• Collaborate using tools like Jira, TeamCity, and Octopus

Desired Skills & Competencies:

Must-Have Skills:

• Strong analytical and problem-solving skills
• Good understanding of Data / Data Analysis
• Strong hands-on experience with Microsoft SQL
• Solid understanding of SQL joins and complex queries
• Experience with Jira for defect tracking
• Hands-on experience with TeamCity and Octopus
• Experience with code repository tools (preferably Bitbucket)
• Mandatory experience with any Automation Testing tool
• Knowledge of CI/CD pipelines

Good-to-Have:

• Exposure to Agile methodologies
• Experience in data-driven testing environments

Role - Manager - Social Media & Copy

Location - Mumbai

Responsibilities:

• Ability to transform briefs into compelling copy in sync with brand philosophy
• Should be adept at ideation, strategy and copywriting for social media channels primarily Instagram, Twitter and LinkedIn
• Understanding of YouTube channels and ability to create content for the same (along with team members). Good to have: script writing
• Aware of social media analytics that can be optimized to create a data driven social media strategy
• Work closely with internal and external stakeholders to ensure that the social media and YouTube channels content calendars are followed
• Guide team members for timely execution and reporting
• Should be creative and have a strong sense of design aesthetics
• In sync with social media trends and ability to transform them into actionable for the brand
• Impeccable English creative writing skills
• Enthusiastic and passionate about growing brands on digital.

Requirements:

• 3-4 years experience in social media
• Able to work efficiently in a fast-paced, startup environment
• Impeccable English writing skills, degree or postgraduate degree in Mass Communication, Digital Marketing or Copy Writing preferred
• Understanding of how to maintain consistent tone of voice across all brand channels
• Comfortable with both short and long format content (more of short format)
• Must have: Experience in copy writing for social media channels.
• Good to have: Script writing skills
• Previous experience in advertising agencies and D2C companies preferred
• History of successfully growing Instagram channel for a brand

RESPONSIBILITIES:

Oversee the sales process to attract new clients.

Work with senior team members to identify and manage risks.

Maintain fruitful relationships with clients and address their needs effectively.

Prepare and deliver pitches to potential investors.

Foster a collaborative environment within the organization.

Transfer call to the supervisor after initial explanation.

SKILLS:

Excellent spoken English.

Both Graduate/Undergraduate may apply.

Ability to develop good relationships with current and potential clients.

Excellent communication skills.

Knowledge of productivity tools and software.

Ready to work in Nightshift.

Job Description:

Key Responsibilities:

• Assist in the execution of digital marketing campaigns across various channels, including Search Engine Marketing, Social Media Marketing, Email Marketing, and WhatsApp Marketing.

• Create and curate engaging and relevant content for the company's online platforms to drive brand awareness and engagement.

• Conduct market research and competitive analysis to identify trends and opportunities.

• Monitor and analyze the performance of digital marketing initiatives using various analytics tools.

• Collaborate with the team to brainstorm and implement new strategies.

• Help maintain and update the company's website and social media profiles.

• Support in the creation of visual and written content, such as graphics, blog posts, and promotional materials.

Qualifications:

• Currently enrolled in or recent graduate with a degree in Marketing, Communications, Business, or a related field.

• Strong written and verbal communication skills.

• Knowledge of digital marketing principles and techniques.

• Familiarity with social media platforms and content management systems.

• Proficiency in Microsoft Office Suite and basic design software.

• Analytical mindset with the ability to interpret data and draw insights.

• Self-motivated, creative, and eager to learn.

• A positive attitude and a strong team player.

Benefits:

• Hands-on experience in digital marketing, providing a solid foundation for a future career in the field.

• Opportunity to work closely with a supportive and experienced marketing expert.

• Exposure to various aspects of digital marketing, including content creation, SEO, ASO, and data analysis.

• Potential for future career opportunities within the company.

• Competitive stipend for the duration of the internship.

Responsibilities:

1. Plan and execute all digital marketing, including SEO/SEM, marketing database, email, social media and display advertising campaigns
2. Design, build and maintain our social media presence
3. Measure and report the performance of all digital marketing campaigns, and assess against goals (ROI and KPIs)
4. Identify trends and insights, and optimize spend and performance based on the insights
5. Brainstorm new and creative growth strategies
6. Plan, execute, and measure experiments and conversion tests
7. Collaborate with internal teams to create landing pages and optimize the user experience
8. Utilize the strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touchpoints
9. Instrument conversion points and optimize user funnels
10. Collaborate with agencies and other vendor partners
11. Evaluate emerging technologies. Provide thought leadership and perspective for adoption where appropriate

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology