Marketing Automation Manager

Strong Implementation Specialist / Implementation Engineer / Technical Implementation Associate (Post-Sales SaaS) Profiles

Mandatory (Experience 1): Must have 1+ years of hands-on experience in software/tech Implementation roles within technical B2B SaaS companies, preferably working with global or US-based clients

Mandatory (Experience 2): Must have experience in executing and supporting end-to-end SaaS product implementations, including customer onboarding, workflow & configuration setup, data modeling/data setup, API-based integrations, and go-live support.

Mandatory (Experience 3): Must have strong technical fundamentals — ability to understand data models, debug API workflows, read JSON payloads, write basic SQL queries, and support configuration troubleshooting.

Mandatory (Experience 4): Must have basic hands-on experience writing scripts (preferably JavaScript) for data migration, configuration automation, or workflow customization in SaaS products.

Mandatory (Experience 5): Must have worked in post-sales environments, supporting customer success and delivery after deal closure, ensuring product adoption, accurate setup, and smooth go-live.

Mandatory (Experience 6): Must have experience collaborating cross-functionally with product, engineering, and sales teams to ensure timely resolution of implementation blockers and seamless client onboarding.

Mandatory (Company Type): B2B SaaS startup or growth-stage company

Position: Business Development Executive

Shift Timing: 10 AM to 6 PM - Monday to Saturday (Remote)

Company: JNJ Technologies & Services LLP

Language: English & Hindi 

Salary: 3 LPA to 5 LPA

We are looking for a resilient, empathic Business Development Executive to contribute to the growth of our company. Business development executives are responsible for finding and retaining clients, encouraging extant clients to purchase added products or features, and remaining abreast of changes in consumption.

Requirements:

• Bachelor's degree in business management, marketing, or related field.

• 1 - 4 years' relevant work experience in business development or similar field preferred.

• Excellent written and verbal communication skills.

• Ability to handle multiple projects simultaneously and work under pressure.

• Proficient in Microsoft Office and relevant software.

Responsibilities:

• Identifying profitable business opportunities

• Conducting extensive market research

• Creating actionable business strategies

• Nurturing relationships with clients

• Analyzing market trends.

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.

Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.

Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalizing go-to-market models and not just explore possibilities.

We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership, and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.

Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.

We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.

Pre-requisites for the Role

1.Job ID-EMJR0120PS

1. Primary skill:

• Java-spring boot-Hibernate
• Mysql
• CI/CD, Jenkins/Github (good to have)
• Junit/Mockito/testng
• Rest api

(Good to have)

Awards received in career

4.Years of Experience: 3-5 Years

1. Location:(Hybrid)
2. Position-19
3. Budget- Max 14 LPA
4. NP- Immediate

• Responsible for requirements understanding, propose architecture, detailed design,
• development and timely deliverables with the highest quality standards.
• We are looking for Product creators who can work with minimum inputs from business and are able to deliver products quickly and with quality.
• This person should have worked in Enterprise class product from scratch.
• Start-up experience would be highly desirable.
• Tech Stack: React.js, HTML, CSS, AWS, MySQL, Razor Pay, Google Analytics, SEO, Dev Ops, CI/CD Pipeline

Skills:

Full Stack Developer

Developed Gaming Application

Developed 3D Gaming Application

Basic knowledge of C, C++, MySQL, Mongo db

Programming Languages: Perl, java. Perl programming with strong OOPs knowledge.

UI: HTML, JS
System: Linux must have – good knowledge and shell scripting experience.
Prior experience in infrastructure automation, monitoring will definitely help.


Description:

The person in this role:


- Will be involved in developing new monitoring scripts, enhancement & defect fixes on existing monitors

- Have to be on-call to support any incoming production/P1 internal issues which need urgent attention (team members are on call for a week and we have a weekly rotation policy within the team)
Preferred skills:

- Perl
- Shell scripting

- Unix

- Jenkins

We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. 

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance

• Excellent understanding of machine learning techniques and algorithms, such as Linear regression, SVM, Decision Forests, LSTM, CNN etc.
• Experience with Deep Learning preferred.
• Experience with common data science toolkits, such as R, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
• Great communication skills
• Proficiency in using query languages such as SQL, Hive, Pig 
• Good applied statistics skills, such as statistical testing, regression, etc.
• Good scripting and programming skills 
• Data-oriented personality