Telesales Executive

JOB DETAILS:

Job Role: Investment Manager

Industry: Banking and Finance

Working Day: 6

Work Mode: ONSITE

Salary: Best in Industry

Experience: 4-7 years

Location: Mumbai

Review Criteria:

• Strong investor management profile
• Must have 4+ years of fundraising experience startups, AIFs, or investment products), investor management and network building
• Must be proficient in pitching investment opportunities and onboarding investors
• Must have experience conducting investor meetings & presentations
• Must have experience achieving revenue targets
• Must have experience representing the company at networking events
• Must understand startup valuation basics, portfolio reporting, investment products.
• Must prepare investment proposals, performance reports, and KPIs.
• No strict requirement, but finance background preferred.
• Must have high ownership and target-driven mindset.

Preferred:

• Preferably from VC firms, AIFs, Wealth Management, Investment Banking, or startup fundraising roles.
• Preferred (Industry): Events industry
• Preferred (Work background): Experience in start-up funding events & roadshows

Job Specific Criteria:

• CV Attachment is mandatory
• How many years of experience do you have in investor management?
• Are you comfortable working 6 days from Mumbai office?
• Current company?
• Current Location?

Role & Responsibilities:

About the Role:

We are seeking a highly driven and strategic Manager - Investment (Start-up Fundraising) to lead fundraising, manage investor relationships, and drive portfolio growth. The role requires a mix of financial expertise, investor engagement, and strong networking ability to achieve AUM growth and revenue targets. The ideal candidate will have proven experience in capital raising, managing HNIs/Family Offices/Venture Partners, and expanding investor networks.

Key Responsibilities:

Fundraising & AUM Growth-

• Drive growth in Assets Under Management (AUM) by meeting set targets.
• Achieve quarterly and annual revenue targets through investor onboarding and capital deployment.

Investor Relationship Management-

• Research, identify, and connect with high-potential investors (HNIs, Family Offices, Institutions).
• Nurture relationships with inactive investors and convert them into active contributors.
• Build long-term trust by ensuring transparency, timely updates, and strong portfolio communication.
• Proactively outreach and pitch company’s value proposition and curated start-up campaigns.
• Seamlessly onboard new investors, ensuring smooth KYC, onboarding, and activation.

Business Development & Conversion-

• Source, qualify, and onboard new investors through referrals, networking, and events.
• Leverage existing investor networks for introductions and referrals.
• Manage pipeline of new investor conversions and ensure smooth onboarding process.

Networking & Outreach-

• Represent the firm in industry events, conferences, and investor summits to expand reach.
• Stay updated on funding trends, investor behavior, and competitive landscape.
• Conduct one-on-one investor meetings to present opportunities and investment strategies.
• Establish strong connections with Venture Partners, Family Offices, and Institutional Investors for strategic collaborations.

Strategic Input & Reporting-

• Prepare and present investment proposals and performance reports.
• Work closely with the investment team to align fundraising strategy with portfolio needs.
• Track KPIs (AUM growth, investor reach-outs, referrals, event participation, conversions, revenue).

Ideal Candidate:

• 4+ years of proven experience in fundraising for start-up.
• Strong investor network with HNIs, Family Offices, and Institutions.
• Track record of achieving AUM/revenue targets and closing investor commitments.
• Exceptional communication, presentation, and relationship-building skills.
• Entrepreneurial mindset, high ownership, and target-driven approach.

Strong Software Engineer, Engineering Manager Profiles

Mandatory (Experience) – Must have minimum 4+ years of hands on experience in Frontend-focused Software development

Mandatory (Tech Skillset) – Must have 3+ years of hands-on experience in frontend Development using React / Angular / Vue (any 1)

Mandatory (Mentoring Skillset) – Must have at least 1+ year of experience leading or mentoring a team of software engineers.

Mandatory (Tech Skills) – Must have a solid understanding of JavaScript (ES6+), TypeScript, and Frontend architectures / Design systems

Mandatory (Company) – Top-tier/renowned product-based company (preferred Entreprise B2B SaaS)

Mandatory (Education) – Undergraduation from Tier-1 Engineering College (IIT, BITS, IIIT, NSUT, DTU, etc.)

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.

Prerequisites:

- Experience: 5 years of experience in Social Media Department and 2 years as social media manager

- Skills: Proficient in Social Media Marketing, Digital Marketing, and Social Media Optimization (SMO).

- Content Strategy: Strong experience in strategizing content for social media and developing content calendars.

- Analytical Skills : Ability to analyze social media metrics and insights to improve performance.

- Creativity: Excellent creative thinking and problem-solving abilities.

- Organizational Skills: Strong organizational and time management skills to manage multiple campaigns and projects simultaneously.

- Leadership: Proven leadership experience in managing and mentoring a team of junior managers and executives

- Qualifications: Bachelor’s degree in Marketing, Communications, or a related field.

Key Responsibilities:

Social Media Strategy & Execution:

- Develop and implement comprehensive social media strategies aligned with the brand’s objectives.

- Strategize content for the upcoming month, considering key themes, seasonal trends, and campaigns.

- Oversee the creation and execution of content calendars, ensuring timely delivery and relevance across platforms.

Team Management:

- Supervise, guide, and mentor junior social media managers, ensuring successful campaign execution.

- Coordinate team efforts to ensure smooth day-to-day execution of social media tasks and initiatives.

-

 Brand Partnerships & Collaboration:

- Manage brand tie-ups, collaborations, and influencer partnerships to increase brand visibility and engagement.

- Ensure effective communication and coordination between internal teams and external stakeholders for seamless campaign execution.

Content Creation & Planning:

- Collaborate with the creative team to create compelling content that resonates with the target audience and aligns with the brand’s voice.

- Oversee the development of monthly content calendars and ensure all content is on-brand, consistent, and engaging.

Paid Campaigns & Reporting:

- Oversee and optimize paid campaigns across Meta and Google Ads, ensuring cost-effectiveness and maximum performance.

- Track campaign metrics such as engagement, reach, conversions, and ROI, providing detailed reports and actionable insights for improvement.

Social Media Optimization (SMO):

- Implement best practices for Social Media Optimization to improve organic engagement and visibility.

- Continuously optimize content for performance across various social media platforms.

Miscellaneous Tasks:

- Travel for shoots and other brand-related activities as required.

- Perform miscellaneous tasks as assigned by management to support the growth of the social media strategy.

Job Summary:

We are looking for a dynamic and detail-oriented HR Executive to support the human resources department in all facets of HR operations. This role involves managing employee relations, recruitment, performance management, training, and administrative duties to ensure smooth HR processes and a positive work environment.

Qualifications:

• Bachelor’s degree in Human Resources, Business Administration, or related field.
• 3+ years of experience in an HR role, preferably in a fast-paced environment or organization.
• Experience with HRMS/HRIS (Human Resource Management Systems) and MS Office Suite (Excel, Word, PowerPoint) is preferred.

Skills and Abilities:

• Strong knowledge of HR practices and labor laws.
• Excellent communication and interpersonal skills.
• Ability to maintain confidentiality and handle sensitive information.
• Strong organizational skills with attention to detail.
• Ability to handle multiple tasks and prioritize effectively.

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.

Responsibilities:

1. Day-to-day HR operations, including recruitment, onboarding, employee engagement, and HR Database.

2. Support the recruitment process by sourcing candidates, scheduling interviews, and assisting with shortlisting.

3. Coordinate and manage employee attendance, leaves, and payroll.

4. Online banking with respect to payments

Requirements:

1. Degree in Human Resources or related field.

2. Strong communication and interpersonal skills.

3. Proficiency in MS Office.

Senior Data Engineer

Responsibilities:

●      Clean, prepare and optimize data at scale for ingestion and consumption by machine learning models

●      Drive the implementation of new data management projects and re-structure of the current data architecture

●      Implement complex automated workflows and routines using workflow scheduling tools 

●      Build continuous integration, test-driven development and production deployment frameworks

●      Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards 

●      Anticipate, identify and solve issues concerning data management to improve data quality

●      Design and build reusable components, frameworks and libraries at scale to support machine learning products 

●      Design and implement product features in collaboration with business and Technology stakeholders 

●      Analyze and profile data for the purpose of designing scalable solutions 

●      Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues

●      Mentor and develop other data engineers in adopting best practices 

●      Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders

Qualifications:

●      8+ years of experience developing scalable Big Data applications or solutions on distributed platforms

●      Experience in Google Cloud Platform (GCP) and good to have other cloud platform tools

●      Experience working with Data warehousing tools, including DynamoDB, SQL, and Snowflake

●      Experience architecting data products in Streaming, Serverless and Microservices Architecture and platform.

●      Experience with Spark (Scala/Python/Java) and Kafka

●      Work experience with using Databricks (Data Engineering and Delta Lake components) 

●      Experience working with Big Data platforms, including Dataproc, Data Bricks etc

●      Experience working with distributed technology tools including Spark, Presto, Databricks, Airflow

●      Working knowledge of Data warehousing, Data modeling

●      Experience working in Agile and Scrum development process

●      Bachelor's degree in Computer Science, Information Systems, Business, or other relevant subject area

Role:

Senior Data Engineer

Total No. of Years:

8+ years of relevant experience 

To be onboarded by:

Immediate

Notice Period:

Skills

Mandatory / Desirable

Min years (Project Exp)

Max years (Project Exp)

GCP Exposure 

Mandatory Min 3 to 7

BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep .Spark and PySpark

Mandatory Min 5 to 9

Relational SQL

Mandatory Min 4 to 8

Shell scripting language 

Mandatory Min 4 to 8

Python /scala language 

Mandatory Min 4 to 8

Airflow/Kubeflow workflow scheduling tool 

Mandatory Min 3 to 7

Kubernetes

Desirable 1 to 6

Scala

Mandatory Min 2 to 6

Databricks

Desirable Min 1 to 6

Google Cloud Functions

Mandatory Min 2 to 6

GitHub source control tool 

Mandatory Min 4 to 8

Machine Learning

Desirable 1 to 6

Deep Learning

Desirable Min 1to 6

Data structures and algorithms

Mandatory Min 4 to 8