Paid Social Specialist

Job Title: LinkedIn Marketing Specialist

1. Role Overview

The LinkedIn Marketing Specialist is responsible for driving brand visibility, lead generation, and audience engagement through LinkedIn. This includes managing personalized messaging, content creation, post scheduling, Sales Navigator operations, outreach campaigns, LinkedIn

ads, and complete LinkedIn ecosystem management for the company and its clients.

2. Key Responsibilities

. LinkedIn Outreach and Personalized Messaging

• Craft and send personalized LinkedIn messages for lead generation and relationship
• building.
• Manage daily connection requests, follow-ups, and engagement workflows.
• Develop outreach sequences using Sales Navigator insights.
• Maintain high response and conversion rates through strategic communication.

B. Content Creation and Management

• Write high-quality content for LinkedIn posts, articles, and micro-blogs.
• Create compelling copy for LinkedIn ads and sponsored content.
• Design basic creatives using tools like Canva (or coordinate with design teams).
• Build and maintain a consistent posting calendar.
• Research industry trends to create value-driven, educational content.

C. LinkedIn Page and Profile Management

• Optimize company and personal LinkedIn profiles for visibility and impact.
• Ensure branding, banners, descriptions, and keywords are updated and aligned.
• Manage comments, interactions, and community engagement.

D. LinkedIn Ads and Paid Campaigns

• Set up, monitor, and optimize LinkedIn ad campaigns.
• Create audience segments using Sales Navigator and platform filters.
• Run Sponsored InMail, Lead Gen Forms, and Sponsored Content campaigns.
• Analyze ad performance and improve CPL, CTR, and conversions.

E. Sales Navigator Management

• Conduct lead research and build targeted lists.
• Identify ICP profiles and decision-maker personas.
• Track lead engagement and share weekly insights with the team.
• Utilize advanced filters to maximize lead quality.

F. Performance Tracking and Reporting

• Monitor KPIs such as impressions, reach, engagement, leads, and ad metrics.
• Prepare weekly/monthly performance reports.
• Recommend content strategies, outreach improvements, and ad optimizations based on analytics.

3. Required Skills and Competencies

• Technical Skills
• Strong command of LinkedIn platform features (Posts, Pages, Ads, Sales Navigator).
• Proven experience in LinkedIn outreach & lead generation.
• Content writing skills—storytelling, copywriting, ad copy development.
• Knowledge of LinkedIn Ads Manager & campaign optimization.
• Basic Canva/design skills for content creation.
• Ability to use analytics tools (LinkedIn Insights, Excel/Sheets, CRM tools).

4. Experience Requirements

• 2–5 years of dedicated experience in LinkedIn marketing or social media marketing.
• Past experience with LinkedIn Ads is preferred.
• Proven track record of generating leads and managing outreach campaigns.
• Experience working with B2B brands or SMBs is an advantage.

Responsible for managing inventory accuracy and coordinating logistics operations to ensure timely movement and availability of stock.

Key Responsibilities:

• Maintain stock records and inventory control
• Plan dispatches and coordinate with transporters
• Monitor inward/outward, returns, and stock levels
• Ensure FIFO, expiry tracking, and minimal stock loss
• Prepare basic inventory and logistics reports

Requirements:

• Graduate/Diploma preferred
• Experience in logistics and inventory management
• Working knowledge of Excel / basic ERP
• Experience in Industrial field preferred

Salary: As per experience

Job Description: Python Engineer

Role Summary

We are looking for a talented Python Engineer to design, develop, and maintain high-quality backend applications and automation solutions. The ideal candidate should have strong programming skills, familiarity with modern development practices, and the ability to work in a fast-paced, collaborative environment.

Key Responsibilities:

Python Development & Automation

• Design, develop, and maintain Python scripts, tools, and automation frameworks.
• Build automation for operational tasks such as deployment, monitoring, system checks, and maintenance.
• Write clean, modular, and well-documented Python code following best practices.
• Develop APIs, CLI tools, or microservices when required.

Linux Systems Engineering

• Manage, configure, and troubleshoot Linux environments (RHEL, CentOS, Ubuntu).
• Perform system performance tuning, log analysis, and root-cause diagnostics.
• Work with system services, processes, networking, file systems, and security controls.
• Implement shell scripting (bash) alongside Python for system-level automation.

CI/CD & Infrastructure Support

• Support integration of Python automation into CI/CD pipelines (Jenkins).
• Participate in build and release processes for infrastructure components.
• Ensure automation aligns with established infrastructure standards and governance.
• Use Bash scripting together with Python to improve automation efficiency.

Cloud & DevOps Collaboration (if applicable)

• Collaborate with Cloud/DevOps engineers on automation for AWS or other cloud platforms.
• Integrate Python tools with configuration management tools such as Chef or Ansible, or with Terraform modules.
• Contribute to containerization efforts (Docker, Kubernetes) leveraging Python automation.

A stealth startup, born from research at Stanford's Human-Centred AI Lab, is building an AI Chief of Staff, designed to revolutionize how we work. 

Most companies building AI agents are automating routine work. But we want to hold AI to a higher bar – an AI that “reasons” and helps humans deal with cognitive overload.

Come work at the intersection of cutting-edge NLP, generative AI and graph learning ML techniques. Help build technology that empowers, not exhausts!

Team: Stanford founder with background in data science, investing, and startups; Staff engineer at Amazon; and top-tier AI practitioners as Advisors (ex-Head of AI at Spotify, Senior Eng Director at Pinterest, AI 2030 Global Leader among others). Harvard and Stanford engineers contributed to early product development.  

Role: Founding ML Engineer, full-time

Location: India. We can sponsor visas to relocate to the US based on fit. 

Compensation: Around INR 25 lakh based on experience + equity

Required Qualifications

• Bachelor’s degree or master’s (preferred) in computer science, engineering, mathematics, or a related technical field from a top-tier institution
• 3+ years of experience building and deploying ML models in production, ideally with “0 to 1” ML work

Technical

• Expertise in NLP: Hugging Face Transformers, BERT, RoBERTa, and techniques like text classification and semantic clustering.
• Experience with LLMs (e.g., GPT-4, Gemini) for prompt engineering, fine-tuning for specific use cases, content generation, and cost-optimized ML infrastructure
• Deep Learning & Graph-Based ML: Proficiency in TensorFlow, PyTorch, XGBoost, GNNs, and dynamic graph databases like Neo4j for modelling relationships
• AI-powered chatbots, integrating LLMs for natural language interaction, feedback processing, and real-time user support
• Real-Time Data Processing & Integration: Skilled in using Apache Kafka and integrating ML models into scalable, reliable back-end systems
• Cloud Deployment: Experience deploying and managing ML services on AWS, GCP, or Azure with a focus on scalability and performance optimization

Should have knowledge of web frameworks, such as Django, HTML and CSS and Python programming language.

Should have relevant work experience in coding and web development.
Good knowledge of Python and Django
Good knowledge of HTML5, CSS3 and Javascript,
Good knowledge of MY SQL database
Knowledge of Django REST framework, API.

Education Qualification- bachelor's degree in computer science, information management systems or a related field.

Work Experience - 1 to 2 years (Required)

Job Type: Full-time

Salary: ₹15,000.00 - ₹25,000.00 per month

We are looking for a rock-star software engineer who can lead our tech efforts in building a scalable FinTech platform.

Who we are?
We are a funded Fintech company focused on the Affordable Housing segment based out of Gurugram.

Whom are we looking for?
We are looking for a software engineer to come on-board and own the technology and product development from the ground up and scale it as the business grows.

Tech Qualifications:

1. You have 2-4 years of experience building products from inception to scale.
2. You have built multitenancy B2B and B2C consumer products in the Fintech, Banking, Loan Products, Payments, and/or Digital Commerce space.
3. You have an uncanny ability to attract and retain strong tech talent.
4. You are highly ambitious and have a keen desire to make a large impact.

What do we offer?
A true experience of building scalable fintech business ground up. we also offer equity along with a fixed salary component.

Our Present Infrastructure:
Microservices based Multitenancy Application
ASP.NET core
Kubernetes Cluster
Redis distributed Caching
Aws Cloud Infrastructure
Our Mobile App is built using Angular and Android
RDBMS / NoSQL

➢    Expert in React JS with about 4 years of experience

➢    Experience in using libraries like D3, Material UI, style sheets and theme management

➢    Should be able to understand requirements & design, develop efficient React JS Code, should have used tools to automate the test and deployment to production

➢    Should have good knowledge on REST APIs, Error handling and writing Unit and Integration Tests

➢    Knowledge of Java is desirable

Responsibilities

➢    Understand the Visual Designs, Functional Requirements and come up with the design/components needed to build the user interface.

➢    Work with Visual Designers to understand the graphic design patterns, themes, and implement in a structured way in the product front end

➢    Work with server side microservices team to develop the JSON contracts

➢    Develop efficient React JS code to implement these requirements

➢    Automate the testing and deployment of these components to production

Responsibilities:

• Respond to customer queries and customers concern
• Provide support for data collection to enable Recovery of the account for end user.
• Maintain a deep understanding of client process and policies
• Reproduce customer issues and escalate product bugs
• Provide excellent customer service to our customers
• You should be responsible to exhibit capacity for critical thinking and analysis.
• Responsible to showcase proven work ethic, with the ability to work well both independently and within the context of a larger collaborative environment

Requirements:

• Graduate (Any Discipline)
• Previous experience in a customer service role chat/email/voice
• Effective probing skills and analyzing / understanding skills
• Analytical skills with customer centric approach
• Excellent proficiency with written English and with neutral English accent
• Excellent English - Verbal & Written (Highly Professional English)
• Excellent Excel Capabilities as we need to submit monthly SLA reports to clients. (Should be an expert)