Marketing Automation Manager

Job Description -

Front line officers who are working in the areas of Sales. Visit channels and Direct partners and source a home loan file. They bring in & login the file & ensure going ahead to credit team for screening.

Scan local market and see which are our potential customers

Role involves Customer Acquisition & engagement

Blend of Direct & through connectors as well or networks

Incentive structure and incentivization happens basis target achievement

Incentivize even up to 75% target achievement

Open to evaluate candidates who has been selling insurance

Willingness & intent to do sales

Description

Job Summary

We are seeking a visionary Senior AI Engineer with a minimum of 3+ years of experience to lead the development of an advanced AI system leveraging CrewAI and LangChain tools to build intelligent, collaborative multi-agent systems for the logistics domain. The role includes designing AI agents capable of handling complex tasks, optimizing workflows, and conducting A/B and beta testing to ensure robust, scalable performance under diverse conditions. This is an opportunity to shape cutting-edge AI systems and revolutionize logistics operations.

Responsibilities:

1. Design & Architecture:

 Architect and implement a multi-agent AI system using CrewAI for task collaboration, communication, and real-time logistics optimization.

 Integrate LangChain tools for natural language understanding, contextual reasoning, and knowledge retrieval.

 Ensure the system is designed to allow comprehensive testing, iteration, and improvement.

2. AI Agent Development:

 Develop autonomous agents capable of dynamic decision-making, task delegation, and seamless inter-agent communication.

 Use LangChain to enhance agent capabilities, such as reasoning over unstructured data and interfacing with external knowledge bases.

3. A/B Testing & Experimentation:

 Design and execute A/B tests to compare AI agent strategies, workflows, and decision-making models under varying scenarios.

 Develop and implement metrics for evaluating system performance (e.g., latency, accuracy, scalability).

 Use experimentation frameworks to test hypotheses and gather insights on system improvements.

4. Beta Testing & Real-World Simulation:

 Set up controlled beta testing environments that mimic real-world logistics operations.

 Simulate edge cases, bottlenecks, and high-load scenarios to ensure system robustness and scalability.

 Gather feedback from beta users and iterate on the system to address discovered issues.

5. Progress Demonstration:

 Develop dashboards and visualizations to showcase key performance indicators (KPIs) and test results.

 Implement tools to log and track agent interactions, decision outcomes, and error rates in real-time.

 Regularly present progress to stakeholders, highlighting improvements and areas for refinement.

6. Optimization & Scalability:

 Optimize multi-agent interactions and resource allocation for real-world logistics challenges.

 Ensure the system scales seamlessly for complex operations involving high volumes of agents and data.

7. Integration:

 Seamlessly integrate the multi-agent system with logistics platforms, such as Transportation Management Systems (TMS) and Warehouse Management Systems (WMS).

 Use LangChain tools to connect agents to APIs, external knowledge graphs, and live data streams.

8. Collaboration & Leadership:

 Lead a team of engineers in developing advanced AI solutions, mentoring them on testing frameworks and innovative technologies like CrewAI and LangChain.

 Collaborate with cross-functional teams to align AI development with business needs.

9. Research & Innovation:

 Stay updated on the latest advancements in multi-agent systems, LangChain, CrewAI, and testing frameworks.

 Introduce cutting-edge techniques to continuously improve the AI system’s performance.

Required Qualifications:

Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).

Experience:

• 3+ years in AI development, with experience in multi-agent systems, logistics, or related fields.

• Proven experience in conducting A/B testing and beta testing for AI systems.

• Hands-on experience with CrewAI and LangChain tools.

• Should have hands-on experience working with end-to-end chatbot development, specifically with Agentic and RAG-based chatbots. It is essential that the candidate has been involved in the entire lifecycle of chatbot creation, from design to deployment.

• Should have practical experience with LLM application deployment.

Technical Skills:

• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).

• Strong understanding of A/B testing platforms and methodologies for AI systems.

• Expertise in building beta testing pipelines and real-world simulation environments.

• Familiarity with distributed systems, reinforcement learning, and natural language processing (NLP).

• Proficiency in using LangChain tools for chaining tasks, knowledge retrieval, and reasoning.

• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).

• Good to have experience in Cursor & MCP.

• Experience in setting up monitoring dashboards with tools like Grafana, Tableau, or similar.

Preferred Qualifications:

 Experience in logistics systems, such as route optimization, shipment tracking, and demand forecasting.

 Familiarity with graph theory, network optimization, and blockchain for agent security.

 Background in designing scalable systems tested under diverse operational conditions.

Soft Skills:

 Strong analytical and problem-solving abilities.

 Ability to communicate technical concepts effectively to stakeholders.

 Leadership skills for mentoring teams and guiding project execution.

Greetings from Analyttica Datalab. We are currently seeking an Analytics Manager to join our team!

If you are looking for a place to grow your skills and share our values this can be the right opportunity for you.

• Role: Analytics Manager
• Relevant Experience: 7-9 Years
• Type of Role: Full-Time
• Notice Period:1 Month or Less (Immediate Joiners-Preferred)
• Mandatory Skills: Data Analytics, Marketing Analytics, A/B Testing, SQL, Logistic Regression, Segmentation, Customer Analytics, Fintech, Python
• Work Location: Bangalore

About Us

We are fast growing technology enabled advanced analytics and data science start-up. We have clients in USA and India and those two geographies are our current market focus. We are developing

an Artificial Intelligence (AI) embedded data science and analytics product platform (patented in US) with a series of offerings to solve real world problems. We have a world-class team of in-house

technocrats, external consultants, SMEs, data scientists, and experienced business professionals driving the product journey.

What Can You Expect?

Along with the commercial aspects of the engagement (no bar for the right candidate), you can expect an agile environment, with progressive culture and state of the art workplace. You will be presented with a great learning opportunity, while interacting with people from diverse background with the depth and breadth of experiences. Our technical, SME, and business leadership team comprises of each professional with 15+ years of experience and strong credibility to their names.

What Role You Are Expected To Play?

As a Product Analytics Manager focused on growth, you’ll be responsible for guiding the Product Analytics feature and experimentation roadmap which may include but is not limited to go-to-market strategy for partnerships and application of analytics for optimizing the acquisition funnel strategy for our client. Specifically,

you will be responsible for driving higher originations by converting web and app visitors to long-term customers.

Roles and Responsibilities:

• Ability to work hands-on on the top prioritized and strategic initiatives to drive business outcomes.
• Lead and mentor a team of sr. analysts and analysts, fostering a culture of collaboration and data-driven decision-making.
• Work closely with US stakeholders and manage expectations on project delivery, team management and capacity management.
• Develop and implement measurement strategies across marketing and product initiatives, ensuring data accuracy and integrity.
• Conduct in-depth analyses of marketing and product performance, identifying key trends, opportunities, and areas for improvement.
• Design and execute A/B tests to optimize marketing campaigns and product features.
• Prior experience in lifecycle marketing and product cross-selling is preferred.
• Develop and maintain dashboards and reports to track key metrics and provide actionable insights to stakeholders.
• Collaborate closely with cross-functional teams (marketing, product, engineering) to understand business needs and translate data into actionable recommendations.
• Stay up to date on industry trends and best practices in analytics and data management.
• Own the delivery in-take, time management and prioritization of the tasks for your team, leveraging JIRA
• Prior experience working for a US based Fintech would be preferred.

Essential Experience and Qualification:

• Minimum 7 years of experience in marketing and/or product analytics.
• Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics). Master's degree is a plus.
• Proven expertise in SQL and data management.
• Hands-on experience with Python and advanced analytics techniques (e.g., regression analysis, classification techniques, predictive modeling).
• Hands-on experience with data visualization tools (e.g., Tableau, Looker).
• Hands-on exposure to Git & JIRA for project management.
• Strong understanding of A/B testing methodologies and statistical analysis.
• Excellent communication, presentation, and interpersonal skills.
• Ability to manage multiple projects and deadlines effectively.
• Coach and mentor team members on refining analytical approach, time management & prioritization.
• Prior experience working in a fast paced environment and working with US stakeholders

People & Culture

As a company, we believe in working hard and

letting our passion drive us to dream high and

achieve higher. We inspire innovation through

freedom of thought and creativity, and pursue

excellence while ensuring that our integrity

and ethical foundation remain strong.

Honesty, determination, and perseverance

form the core of our value system. Analyttica’s

versatile talent fulfils our value proposition by

taking on fresh challenges and delivering

solutions that blend skill and intuition (science

and art). Understanding the customer/partner

mindset helps us provide technology enabled

scientific solutions at scale for sustainable

business impact.

Industry

Job Responsibilities & Duties:

• Seminars for Career Guidance.
• Student counseling for career guidance.
• Advise students and parents about institute’s policies and procedures regarding admission, academics, and other activities.
• Maintain a database of student information, telephone logs and student feedbacks in order to generate student reports.
• Prepare reports and proposals, and respond to inquiries from students and external agencies.
• Tele calling to Potential Students for career guidance.
• Invite Potential Students for campus visit and admission Process (Entrance test, GDPI & Final Admission)
• Accepting and filtering student applications
• Processing student registration and payment
• Communicate with applicants about their application status, including acceptance/rejection
• Performs miscellaneous job-related duties as assigned.
• Content Development for E-Mails, Broachers & Websites

Minimum Job Requirements:

• Bachelor's degree; at least 3 year of experience directly related to the duties and responsibilities specified.
• Completed degree(s) from an accredited institution that are above the minimum education requirement may be substituted for experience on a year for year basis.

Knowledge, Skills and Abilities Required:

• Ability to develop and deliver presentations.
• Strong interpersonal and communication skills and the ability to work effectively with a wide range of constituencies in a diverse community.
• Ability to gather data, compile information, and prepare reports.
• Ability to communicate effectively, both orally and in writing.
• Knowledge of student admission and retention issues.
• Knowledge of the broad spectrum of available university academic units, curricula, and programs.
• Ability to develop, plan, and implement short- and long-term goals.
• Organizing and coordinating skills.
• Skill in the use of computerized systems and databases.
• Ability to design and write promotional material.
• Ability to evaluate student transcripts and/or records.
• Knowledge of Institute admissions policies, standards, and procedures.

Expected Skills: QA (Automation Testing)

Experience: 3-5 Years
Location: Bangalore

Can join in: Immediate Joiner (15 days max)

Job Description

• Responsible for the automation testing, test planning, and test script, in accordance to the customers’ requirements and organizational quality norms.
• Activities to be performed include:
  • Requirement analysis and design of software solutions based on requirements and architectural /design guidelines.
  • Testing of features and/or bug-fixing and delivering solutions in accordance with coding guidelines and on time with high quality.
  • Identification and implementation of unit and integration tests to ensure solution address customer requirements, and quality, security requirements of the product are met.
  • Performing code review and creation / support for relevant documentation (requirement/design/test specification).
  • Ensuring integration and submission of solution into software configuration management system, within committed delivery timelines.

Requirements

• 3 - 5 years experience in Manual and Automation Testing especially in professional software product development.
• Proficient in one or more of the following technologies: RESTful APIs, Selenium Web driver Automation with .NET, Java, or other object-oriented languages like NodeJS, Cypress, etc.
• Experience with all phases of software testing including test planning, functional testing, and regression testing.
• Experience in Test Planning, Scripting, and Execution
• Experience in Cloud Technology(Azure) is a plus
• Good knowledge of cross-platform rendering issues between major browsers.
• Must have good analytical, debugging ad tracing skills.

QA, TESTING, AUTOMATION, SYSTEM TESTING, Selenium, JAVA, Azure, .net, Nodejs, Cypress, RESTFUL API, CODING

• Experience in either of these Relational DB’s MS SQL Server / PostgreSQL / AWS Aurora DB / MySQL / Oracle / NOSQL DBs (MongoDB / DynamoDB / DocumentDB) in an application development environment and eagerness to switch DB.
• Design database tables, views, indexes
• Write functions and procedures for Middle Tier Development Team
• Work with any front-end developers in completing the database modules end to end (hands-on experience in parsing of JSON & XML in Stored Procedures would be an added advantage).
• Query Optimization for performance improvement
• Design & develop SSIS Packages or any other Transformation tools for ETL

• Banking / Insurance / Retail domain would be a plus.
• Interaction with a client a plus

• Knowledge in a Cloud Platform (AWS / Azure)
• Knowledge on version control system (SVN / Git)
• Exposure to Quality and Process Management
• Knowledge in Agile Methodology

• Team building (attitude to train, work along, mentor juniors)
• Communication skills (all kinds)
• Quality consciousness
• Analytical acumen to all business requirement
• Think out-of-box for business solution