Product Designer

📢 We’re Hiring: Digital Marketing Executive (Client Handling)

Company: Pentabay Softwares

Location: Anna Salai, Chennai

Experience: 1 – 6 Years

Employment Type: Full-time | On-site

🧩 Job Overview:

Pentabay Softwares is looking for a results-driven Digital Marketing Executive with strong client handling experience to plan, execute, and manage digital marketing campaigns across multiple platforms. The ideal candidate should be confident in client communication, performance tracking, and campaign optimization.

🎯 Key Responsibilities:

Handle end-to-end digital marketing activities for assigned clients

Act as a single point of contact for clients and manage day-to-day communication

Plan, execute, and optimize campaigns across:

Google Ads

Meta (Facebook & Instagram)

SEO & Content Marketing

Email & WhatsApp Marketing

Understand client requirements and convert them into effective marketing strategies

Prepare and present weekly/monthly performance reports to clients

Coordinate with internal teams (Design, Content, Development) to ensure timely delivery

Monitor KPIs such as leads, conversions, CTR, ROI, and engagement

Suggest improvements and upsell additional services when required

Stay updated with the latest digital marketing trends and tools.

🛠️ Required Skills & Qualifications:

1–6 years of experience in Digital Marketing

Mandatory Client Handling / Client Communication experience

Strong knowledge of:

Google Ads & Meta Ads

SEO basics (On-page & Off-page)

Social Media Marketing

Analytics tools (Google Analytics, Search Console)

Good understanding of lead generation and performance marketing

Excellent verbal & written communication skills

Ability to handle multiple clients and deadlines

Proficiency in MS Excel / Google Sheets for reporting

🌟 Preferred Skills (Added Advantage)

Experience in IT services / Software / Agency background

Knowledge of tools like:

SEMrush / Ahrefs

Canva / Ad Creatives coordination

CRM tools

Basic understanding of website CMS (WordPress)

💼 What We Offer

Competitive salary based on experience

Exposure to multiple industries and clients

Career growth and learning opportunities

Supportive and professional work environment

Performance-based incentives

Send me resumes on: sandhiya.m at pentabay.com

Requirement:

1. Node Js min 2 yrs exp.
2. Database - MONGO, SQL, etc. min 2yrs experience with these.

3. Caching - REDIS, MEMCACHED etc

4. Message Queues - RABBIT MQ, Kafka, etc.

Location: Delhi (Work from office).
Package : Upto 12 LPA

We are seeking a skilled MERN Full Stack Developer to join our dynamic team. The ideal candidate will be proficient in both front-end and back-end technologies and possess a passion for developing high-quality web applications. As a MERN Full Stack Developer, you will be responsible for designing, developing, and maintaining robust web applications using the MERN stack.

Responsibilities:

• Collaborate with cross-functional teams to define, design, and ship new features.
• Develop user-facing features using React.js.
• Build reusable components and front-end libraries for future use.
• Design and implement responsive user interfaces.
• Develop and maintain server-side architecture using Node.js and Express.js.
• Integrate data storage solutions using MongoDB.
• Implement RESTful APIs and GraphQL for efficient communication between front-end and back-end systems.
• Optimize applications for maximum speed and scalability.
• Implement security and data protection measures.
• Troubleshoot and debug issues across the entire stack.
• Stay up-to-date with emerging technologies and best practices.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).
• Proven experience as a Full Stack Developer or similar role.
• Strong proficiency in JavaScript and its modern ES6+ syntax.
• Extensive experience with React.js and its core principles.
• Experience with popular React.js workflows (such as Flux or Redux).
• Solid understanding of server-side development using Node.js and Express.js.
• Experience with NoSQL databases, particularly MongoDB.
• Familiarity with RESTful APIs and GraphQL.
• Knowledge of authentication and authorization mechanisms.
• Experience with version control systems (e.g., Git).
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team in a fast-paced environment.
• Strong problem-solving skills and attention to detail.

Preferred:

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Familiarity with CI/CD pipelines.
• Experience with testing frameworks (e.g., Jest, Mocha).
• Understanding of Agile methodologies.

Job Title:

Telephony Engineer

Job Description:

- Support the operations team with debugging issues related to the telephony platform

- Identify issues with calls using monitoring and analysis tools such as VoIPMOnitor

- Write scripts to automate tasks, monitor the services and functionalities

- Contribute to the improvement of the system by providing ideas

- Help with capacity planning

- Perform the scheduled maintenance activities

- Modify the existing code to accommodate new features

Experience Range:

3- 6 years

Educational Qualifications:

Any graduation,

Job Responsibilities:

  • Knowledge of open source technologies, VoIP, SIP, WebRTC etc.

  • Shell scripting.

  • Experience in Asterisk and Kamailio or OpenSIPS.

  • C/C++ or JS programming with Linux.

  • 5-8 years experience.

  • Good communication skills.

  • Willingness to work in the night, whenever required, for handling support related issues.

Skills Required:

ViOP, OpenSIPS, SIP, Shell Scripting, Asterisk, kamailio, C++, Linux, Development,

• New features developed independently with the ability to document the design after understanding and evaluating the requirements with necessary groundwork on required application components
• Hands-on coding to implement the design for feature completion
• Able to write unit tests that ensures bug free code
• Able to handle the multi-tenant and performance requirements of the new features and applications.
• Integrate the new features with existing modules, deliver ready to use code meeting necessary build requirements and CI/CD requirements.
• Work with other functional groups for product, technology, QA, tech support and deployment team.

‍

The ideal candidate must have the following qualifications.

• BE/B.Tech Degree from a reputed institution with at least 7 years of relevant experience
• Hands-on experience with Core Java, J2EE with a good knowledge of its ecosystem
• Experience with JUnit, JMH like performance tuning test tools preferred
• REST API design and development experience. Usage of Swagger or other API spec tools would be preferred. Working knowledge on Spring Boot is a plus
• Hands-on experience with some of the following application components is a plus: Solr, Kafka, OpenTSDB, Elasticsearch, Janus graph or any graph DB.
• Experience with databases such as MongoDB, MySQL or PostgreSQL required.
• Familiarity with continuous integration and build tools such as Jenkins or CircleCI, Maven, Ant required
• Experience building applications using microservices architecture is highly preferred. Knowledge of Kubernetes, Docker would be ideal
• Working knowledge on public clouds like AWS or Google cloud or Azure is a plus
• Experience building scalable systems
• Strong problem solving skills and ability and interest to solve complex problems
• Interest in machine learning (ML) data science is a plus

About Turing:

Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.

We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:

• Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
• Executives from Google, Facebook, Square, Amazon, and Twitter
• Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
• Cyan Banister
• Founder of Upwork (Beerud Sheth)

We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month. 

Some articles about Turing:

• https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
• https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
• https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
• https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.

Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.

About the role:

Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us. 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job. 

     
 You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words. 

As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&;hl=en">Google Scholar profile. 

Responsibilities:

• Enhance our existing machine learning systems using your core coding skills and ML knowledge.
• Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
• Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
• Design features and builds large scale recommendation systems to improve targeting and engagement.
• Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.

Minimum Requirements:

• BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
• Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
• Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
• 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
• Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
• Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
• Good understanding of mathematical foundations of machine learning algorithms.
• Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).

Other Nice-to-have Requirements:

• First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals. 
• Strong performance in Kaggle competitions.
• 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
• Strong communication skills.
• Experienced in leading large-scale multi-engineering projects.
• Flexible, and a positive team player with outstanding interpersonal skills.