Field Sales Executive

Review Criteria

• Strong Product Manager Profiles
• 4+ years of product management experience, of which 2+ years in healthcare, pharmaceutical, life sciences, or AdTech domains
• Must have built or scaled products involving Data Science, Machine Learning, or AI
• Must have experience working end-to-end on product lifecycle — strategy, roadmap, development execution, stakeholder alignment, user research, product optimization, and adoption (0 to 1 product experience is preferred)
• Hands-on experience collaborating with engineering, data science, design, supply teams, and demand-side teams on parallel product initiatives
• Strong understanding of demand-side and supply-side mechanisms, programmatic advertising, data intelligence products, or marketplace platforms
• Experience in companies serving Healthcare Professionals (HCPs), Pharma, Life Sciences, or HealthTech advertising is a must
• Product companies (preferably in HealthTech)
• CTC includes 20% variable
• HealthTech exposure is a must (current or past experience)
• It’s an IC role

Preferred

• Experience working on AI-driven features such as predictive models, segmentation, personalization, or automated optimization.

Job Specific Criteria

• CV Attachment is mandatory
• What is your preferred location — Noida or Mumbai?
• If you’re based in Mumbai, are you comfortable traveling to the Noida office for one week each month?
• Are you available for an in-person interview for one of the rounds?
• Which HealthTech company(ies) you have worked for?

Role & Responsibilities

We are seeking a strategic and innovative Product Manager to lead the development and growth of our DataIQ and Marketplace products. This role is pivotal in driving the vision, strategy, and execution of our data intelligence and digital commerce platforms, ensuring they deliver exceptional value to our users and stakeholders.

Key Responsibilities-

Product Strategy & Vision:

• Define and articulate the product vision and roadmap for DataIQ and Marketplace, aligning with company objectives and market needs.
• Conduct market research and competitive analysis to identify opportunities for innovation and differentiation.
• Collaborate with stakeholders to prioritize features and initiatives that drive business impact and user satisfaction.

Product Development & Execution:

• Lead the end-to-end product development lifecycle, from ideation through to launch and iteration.
• Work closely with engineering, design, and data teams to deliver high-quality products on time and within scope.
• Develop clear and concise product documentation, including PRDs, user stories, and acceptance criteria.

User Experience & Enablement:

• Ensure a seamless and intuitive user experience across both DataIQ and Marketplace platforms.
• Collaborate with UX/UI teams to design user-centric interfaces that enhance engagement and usability.
• Provide training and support materials to enable users to maximize the value of our products.

Performance Monitoring & Optimization:

• Define and track key performance indicators (KPIs) to measure product success and inform decision-making.
• Analyze user feedback and product data to identify areas for improvement and optimization.
• Continuously iterate on product features and functionalities to enhance performance and user satisfaction.

Ideal Candidate

Experience & Skills:

• Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field.
• 4+ years of experience, with a proven track record in data intelligence or digital commerce products.
• Strong understanding of data analytics, cloud technologies, and e-commerce platforms.
• Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams.
• Analytical mindset with the ability to leverage data to drive product decisions.

Nice-to-Haves:

• Experience with machine learning or AI-driven product features.
• Familiarity with data governance and privacy regulations.
• Knowledge of marketplace dynamics and seller/buyer ecosystems.

Job Profile

Position: 

HR Executive- Payroll & Operations. 

Develop and implement efficient HR strategies to streamline operations, ensure compliance, and drive organizational growth while fostering strong relationships with employees and stakeholders. 

Roles and Responsibilities- 

       Managing onboarding, offboarding, background checks, document collection, induction programs, exit interviews, clearance              procedures,and final settlements. 

• Communicating, implementing, and monitoring compliance with HR policies, labor laws, and organizational guidelines. 
• Overseeing payroll processing, ensuring accuracy in salaries, bonuses, and deductions. 
• Ensuring compliance with labor laws, tax regulations, and industry standards while preparing and managing HR audits and statutory filings. 
• Maintaining and updating HR information systems while ensuring accuracy, confidentiality, and proper management of employee records. 
• Preparing HR metrics and reports, analyzing data to identify trends, and supporting decision-making processes. 
• Addressing employee queries, supporting grievance handling, and resolving workplace conflicts effectively. 
• Coordinating with external vendors for payroll, benefits, and training services while collaborating with internal teams like finance and IT. 
• Streamlining HR processes by identifying opportunities for improvement and implementing automation and technology solutions. 
• Planning and executing initiatives to improve employee morale, satisfaction, and connection to the organization, including organizing events, conducting engagement surveys, and fostering a positive work culture. 
• Analyzing employee performance data, generating insights for continuous improvement, ensuring alignment with organizational goals, and supporting appraisal processes.
• Required skills & Qualifications: 
• Proficiency in HR policies. 
• HRIS, payroll, and compliance. 
• Strong communication, Analytical, and problem-solving skills. 
• Ability to manage processes, improve operations, and resolve conflicts. 
• Bachelor’s in HR or related field. 
• Quick decision-making skills. 
• A keen eye on details for accuracy. 
• Strong work ethics. 
•  KEKA HRMS is must
• Experience- 3 to 5 years 

Location - Jogeshwari East

Working Days

6 days working

Working Timings

10am-7 pm

Candidate need to do outcall and explain about banking products like (Personal Loans, Credit Cards, Insurance plans, FD's, Investment Plans etc.,)

Need to reach the monthly targets

Need to resolve customer Queries

Maintain good communication skills in Humble Manner

Good Convincing skills

Working Hours 9 Hrs (1 hour Break)

6 days Working (Monday to Saturday)

Salary Details (16000/- CTC to 20500/- CTC) Depends on candidate experience salary will can be negotiable.

Sunday Week Off

2 nd Saturday and 4th Saturday will be Week off

Complete Dayshifts Timings 9:00 AM TO 6:30 PM

2-Way transportation will be provided

Point to point Pick and Drop will available

Work from Office 

Intuitive cloud (http://www.intuitive.cloud">www.intuitive.cloud) is one of the fastest growing top-tier Cloud Solutions and SDx Engineering solution and service company supporting 80+ Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is a recognized professional and manage service partner for core superpowers in cloud(public/ Hybrid), security, GRC, DevSecOps, SRE, Application modernization/ containers/ K8 -as-a- service and cloud application delivery.

• 9+ years’ experience as data engineer.
• Must have 4+ Years in implementing data engineering solutions with Databricks.
• This is hands on role building data pipelines using Databricks. Hands-on technical experience with Apache Spark.
• Must have deep expertise in one of the programming languages for data processes (Python, Scala). Experience with Python, PySpark, Hadoop, Hive and/or Spark to write data pipelines and data processing layers
• Must have worked with relational databases like Snowflake. Good SQL experience for writing complex SQL transformation.
• Performance Tuning of Spark SQL running on S3/Data Lake/Delta Lake/ storage and Strong Knowledge on Databricks and Cluster Configurations.
• Hands on architectural experience
• Nice to have Databricks administration including security and infrastructure features of Databricks.

• Consistently embarking an excellent first impression on call, delivering exceptional customer experience
• Engage potential customers in dialogue that opens opportunities with the help of scripts and presence of mind
• Going an 'extra mile' to create happy customers to drive loyalty and increase repeat purchase
• Contacting prospective clients / existing customers to inform them about the product using scripts
• Accurately record details of communication with customers
• Developing and sustaining solid relationships with customers to encourage repeat business
• Answer questions about product features in an engaging manner
• Answer all customer questions honestly and accurately
• Using sales scripts drive sales and respond to customer objections
• Developing in-depth knowledge of products and services offered by us to make suitable recommendations based on customers' needs and preferences.

Preferred Notice Period - Less Than 1 Month

Preferred Education - Tier 1 Engineering Colleges - IIT/NIT/DTU or similar

Preferred Work Background - Startup Engineering Experience

Mandatory Skills :-

4+ years of professional experience in Native React or React JS. Mongo db experience is good to have

Highly proficient in rendering components with Native APIs

Highly proficient in JavaScript, modern JavaScript, HTML,

Highly proficient in one or more libraries (e.g. Redux, React Router, etc) for state managing and routing in addition to React.

Proficient in using Git as a control system

Responsibilities :-    

Develop & deploy quality software and web applications-

Analyse and maintain existing software applications-

Design highly scalable, testable code-

Discover and fix programming bugs

Qualifications :-

Bachelor's degree or equivalent experience in Computer Science