Social Media Marketer

As the Senior Executive-Account Manager, you will be responsible for developing, implementing, and optimizing multi-channel lead generation campaigns to build a robust pipeline for our sales team. You will demonstrate market understanding of the Talent/Capability Development (learning/e-learning, custom learning, localization, and translation) services/produts and markets and will be adept at customer engagement. This role demands a candidate with analytical prowess to interpret data and drive decisions, coupled with strong collaboration skills to work effectively with sales and marketing.

Roles &Responsbilities -

•  Lead Generation Strategy Development: Define and implement comprehensive lead generation strategies encompassing learning/e-learning, localisation, and translation services, aligning with overall sales and marketing objectives. This includes identifying target audiences, understanding their needs, and determining the most effective channels to reach them.

•    Multi-Channel Campaign Management: Plan, execute, and optimize lead generation campaigns across various online and offline channels. This includes digital marketing (SEO/SEM, content marketing, social media marketing, email marketing, webinars, online advertising) and outbound activities (targeted outreach, industry events, networking).

•    Content Strategy Collaboration: Work closely with the marketing team to develop compelling content that attracts and converts target prospects for learning/e-learning, localisation, and translation products/services.

•    Marketing Automation and CRM Management: Utilize marketing automation platforms and CRM systems to manage lead generation processes, track campaign performance, nurture leads, and ensure seamless handoff to the sales team.

•    Performance Monitoring and Analysis: Track, measure, and analyze the performance of lead generation campaigns using relevant metrics. Provide regular reports and insights to the sales and marketing teams, recommending optimizations for improved results.

•    Collaboration with Sales: Work closely with the Sales Manager and sales team to understand their needs, ensure lead quality, and optimize the lead-to-opportunity conversion process for learning/e-learning, localisation, and translation products/services.

•    Market Research and Competitive Analysis: Conduct ongoing market research to identify new lead generation opportunities, understand industry trends in learning/e-learning, localisation, and translation, and analyze competitor activities.

•    Budget Management: Manage the lead generation budget effectively, ensuring optimal ROI on marketing and outreach activities.

•    Vendor Management: Manage relationships with external vendors or agencies supporting lead generation efforts.

•    Staying Updated: Keep abreast of the latest trends and best practices in lead generation, digital marketing, and sales enablement for learning/e-learning, localisation, and translation product/service-based industries.

Bachelor's degree in Marketing, Business Administration, or a related field.

Qualification and Experience -

•    Minimum of 8-10 years of experience in pre-sales/lead generation, preferably in the learning/e-learning, localisation, and translation industry or a related technology sector.

•    Proven track record of success in developing and executing lead generation strategies, preferably with experience in the B2B sector.

•    Experience in generating leads for technology products, SaaS solutions, or service-based offerings is highly desirable.

•    Familiarity with the learning/e-learning, localisation, and translation industries is a significant advantage.

•    Strong understanding of digital marketing principles and channels.

•    Experience with marketing automation platforms and CRM systems.

•    Excellent analytical skills and the ability to interpret data to drive decisions.

•    Strong project management and organizational skills.

•    Excellent written and verbal communication skills.

•    Ability to work independently and collaboratively within a team environment.

•    Proactive, results-oriented, and data-driven approach. 

•   Willingness to travel as required by business.

•   Deep understanding of AGILE methodologies and extensive experience working within a learning, educational technology, or complex content delivery environment.

Experience: 3+ years

Responsibilities:

• Build, train and fine tune ML models
• Develop features to improve model accuracy and outcomes.
• Deploy models into production using Docker, kubernetes and cloud services.
• Proficiency in Python, MLops, expertise in data processing and large scale data set.
• Hands on experience in Cloud AI/ML services.
• Exposure in RAG Architecture

Location: Hybrid/ Remote

Type: Contract / Full‑Time

Experience: 5+ Years

Qualification: Bachelor’s or Master’s in Computer Science or a related technical field

Responsibilities:

• Architect & implement the RAG pipeline: embeddings ingestion, vector search (MongoDB Atlas or similar), and context-aware chat generation.
• Design and build Python‑based services (FastAPI) for generating and updating embeddings.
• Host and apply LoRA/QLoRA adapters for per‑user fine‑tuning.
• Automate data pipelines to ingest daily user logs, chunk text, and upsert embeddings into the vector store.
• Develop Node.js/Express APIs that orchestrate embedding, retrieval, and LLM inference for real‑time chat.
• Manage vector index lifecycle and similarity metrics (cosine/dot‑product).
• Deploy and optimize on AWS (Lambda, EC2, SageMaker), containerization (Docker), and monitoring for latency, costs, and error rates.
• Collaborate with frontend engineers to define API contracts and demo endpoints.
• Document architecture diagrams, API specifications, and runbooks for future team onboarding.

Required Skills

• Strong Python expertise (FastAPI, async programming).
• Proficiency with Node.js and Express for API development.
• Experience with vector databases (MongoDB Atlas Vector Search, Pinecone, Weaviate) and similarity search.
• Familiarity with OpenAI’s APIs (embeddings, chat completions).
• Hands‑on with parameters‑efficient fine‑tuning (LoRA, QLoRA, PEFT/Hugging Face).
• Knowledge of LLM hosting best practices on AWS (EC2, Lambda, SageMaker).

Containerization skills (Docker):

• Good understanding of RAG architectures, prompt design, and memory management.
• Strong Git workflow and collaborative development practices (GitHub, CI/CD).

Nice‑to‑Have:

• Experience with Llama family models or other open‑source LLMs.
• Familiarity with MongoDB Atlas free tier and cluster management.
• Background in data engineering for streaming or batch processing.
• Knowledge of monitoring & observability tools (Prometheus, Grafana, CloudWatch).
• Frontend skills in React to prototype demo UIs.

💯What will you do?

• Create and conduct engaging and informative Data Science classes that incorporate real-world examples and hands-on activities to ensure student engagement and retention.
• Evaluate student projects to ensure they meet industry standards and provide personalised, constructive feedback to students to help them improve their skills and understanding.
• Conduct viva sessions to assess student understanding and comprehension of the course materials. You will evaluate each student's ability to apply the concepts they have learned in real-world scenarios and provide feedback on their performance.
• Conduct regular assessments to evaluate student progress, provide feedback to students, and identify areas for improvement in the curriculum.
• Stay up-to-date with industry developments, best practices, and trends in Data Science, and incorporate this knowledge into course materials and instruction.
• Work with the placements team to provide guidance and support to students as they navigate their job search, including resume and cover letter reviews, mock interviews, and career coaching.
• Train the TAs to take the doubt sessions and for project evaluations

💯Who are we looking for?

We are looking for someone who has:

• A minimum of 1-2 years of industry work experience in data science or a related field. Teaching experience is a plus.
• In-depth knowledge of various aspects of data science like Python, MYSQL, Power BI, Excel, Machine Learning with statistics, NLP, DL.
• Knowledge of AI tools like ChatGPT (latest versions as well), debugcode.ai, etc.
• Passion for teaching and a desire to impart practical knowledge to students.
• Excellent communication and interpersonal skills, with the ability to engage and motivate students of all levels.
• Experience with curriculum development, lesson planning, and instructional design is a plus.
• Familiarity with learning management systems (LMS) and digital teaching tools will be an added advantage.
• Ability to work independently and as part of a team in a fast-paced, dynamic environment.

💯What do we offer in return?

• Awesome colleagues & a great work environment - Internshala is known for its culture (see for yourself) and has twice been recognized as a Great Place To Work in the last 3 years
• A massive learning opportunity to be an early member of a new initiative and experience building it from scratch
• Competitive remuneration

💰 Compensation - Competitive remuneration based on your experience and skills

📅 Start date - Immediately

Responsibilities

• Develop, deploy, and maintain scalable products
• Participate in code reviews, and design discussions to ensure code quality and distribute knowledge
• Pair with team members for functional and non-functional requirements to write well-crafted, well-tested, readable, and maintainable code.
• Help to define roadmap and architecture based on technology and business needs
• Understand business requirements and work closely with the business to provide solutions

Eligibility

• Strong expertise in Backend Python Development with skills to create APIs, integrate the functions into UI, and store and retrieve data from a variety of databases.
• Strong experience with Django/Flask.
• Strong experience in writing unit tests.
• B.Tech/B.E (Preferred CSE)

‍Expected to manage the product plan, engineering, and delivery of Plum Integration activities. Plum is a rewarding and incentive infrastructure for businesses. It's a unified integrated suite of products to handle various rewarding use cases for consumers, sales, channel partners, and employees. 31% of the total tech team is aligned towards this product and comprises 32 members within Plum Tech, Quality, Design, and Product management. The annual FY 2019-20 revenue for Plum was $ 40MN and is showing high growth potential this year as well. The product has a good mix of both domestic and international clientele and is expanding. The role will be based out of our head office in Bangalore, Karnataka however we are open to discuss the option of remote working with 25 - 50% travel.‍

• Scope and lead technology with the right product and business metrics.
• Directly contribute to product development by writing code if required.
• Architect systems for scale and stability.
• Serve as a role model for our high engineering standards and bring consistency to the many codebases and processes you will encounter.
• Collaborate with stakeholders across disciplines like sales, customers, product, design, and customer success.
• Code reviews and feedback.
• Build simple solutions and designs over complex ones and have a good intuition for what is lasting and scalable.
• Define a process for maintaining a healthy engineering culture (Cadence for one-on-ones, meeting structures, HLDs, Best Practices In development, etc.).

• Manage a senior tech team of more than 5 direct and 10 indirect developers.
• Should have experience in handling e-commerce applications at scale.
• Should have experience working with applications like HubSpot salesforce and other CRM.
• Should have experience in B2B integrations.
• Should have at least 10+ years of experience in software development, agile processes for international e-commerce businesses.
• Should be extremely hands-on, with an Automate as much as possible mind set full-stack developer.
• Should exhibit skills to build a good engineering team and culture.
• Should be able to handle the chaos with product planning, prioritizing, customer-first approach.
• Technical proficiency
• Frameworks like React, React Native, Node.js, GraphQL
• Databases technologies like Elasticsearch, Redis, MySQL, MongoDB, Kafka
• Dev ops to manage and architect infra - AWS, CI/CD (Jenkins)
• System Architecture w.r.t Microservices, Cloud Development, DB Administration, Data Modeling
• Understanding of security principles and possible attacks and mitigate them.

‍You will lead the Plum Integration Engineering team and work in close conjunction with the Tech leads of Plum with some cross-functional stake with other products. Your will report to the CTO directly.