Content Writer Intern

Strong Manager – Customer Success, Account management Profile

Mandatory (Experience 1) – Must have 8+ years of overall experience with atleast 6+ Years in Customer Success role

Mandatory (Experience 2) – Must have 1+ years of experience in AdTech industry

Mandatory (Experience 3) – Must have experience managing clients in the outside India market (Preferably US/America clients)

Mandatory (Experience 4) – Must have cross-functional experience working closely with Sales, Product, and Ad Operations teams for campaign execution, performance optimization, and client delivery.

Mandatory (Experience 5) – Must have strong technical understanding of digital advertising / programmatic platforms/software products

Mandatory (Company): B2B SaaS (AdTech experience is highly preferred)

Mandatory (Stability) : Candidate must have no frequent job hops and a minimum of 1+ year in the current organization.

Mandatory (Note1): Please ensure candidates have read about media.net and the industry before the screening call

Mandatory (Note2): Please ensure candidates have added numbers/metrics in resume

You are

Open - Always up for new ideas and able to take and give feedback in a positive way.

• Straightforward - Deal with colleagues in an open and transparent manner. Appreciates

teamwork and able to raise concerns if required

• Driven - sets high goals, doesn’t give up, and makes sacrifices to ensure that their job gets done

on time and meets/exceeds expectations.

• Curious - Aware of new technologies and uses them to make new improvements in the

Engineering ecosystem.

• Smart - Innovative and thinks out of the box, in difficult situations finds a way to succeed no

matter what

• Responsible - takes ownership of tasks given and has a strong work ethic.

Requirements

Acquired strong proven professional programming experience.

- Strong command of Algorithms, Data structures, Design patterns, and Product Architectural Design.

- Good understanding of DevOps, Cloud technologies, CI/CD, Serverless and Docker, preferable AWS

- Proven track record and expert in one of the field - DevOps/Frontend/Backend

- Excellent coding and debugging skills in any language with command on any one programming paradigm, preferred Javascript/Python/Go

- Experience with at least one of the Database systems - RDBMS and NoSQL

- Ability to document requirements and specifications.

- A naturally inquisitive and problem-solving mindset.

- Strong experience in using AGILE or SCRUM techniques to build quality software.

- Advantage: experience in React js, AWS, Nodejs, Golang, Apache Spark, ETL tool, data integration system, certification in AWS, worked in a Product company and involved in making it from scratch, Good communication skills, open-source contributions, proven competitive coding pro

Roles and Responsibilities

Based in Jaipur, you will be working in a collaborative team on cutting edge technologies in a supportive and dynamic environment. Ultimately you are responsible for building the CODI and on-boarding new clients - this involves:

- Developing a good understanding of the solutions which Peak delivers, and how these link to Peak’s overall strategy.

- Making suggestions towards shaping the strategy for a feature and engineering design.

- Managing own workload and usually delivering unsupervised. Accountable for their own workstream or the work of a small team.  

- Understanding Engineering priorities and is able to focus on these, helping others to remain focussed too

- Acting as the Lead Engineer on a project. Helps ensure others follow Peak processes, such as release and version control.

- An active member of the team, through useful contributions to projects and in team meetings.

- Supervising others. Deputising for a Lead and/or support them with tasks. Mentoring new joiners/interns and Masters students. Sharing knowledge and learnings with the team.

our responsibilities will include:

• Creating and executing a strong performance marketing strategy & execution plan
• Developing and managing digital prospecting and remarketing campaigns
• Managing budgets and campaigns across all digital channels to drive strong return on investment and efficient CAC
• Ensuring successful planning, execution, optimization for key traffic KPIs via paid, organic & own media channels
• Identifying and testing new channels to continue to meet or exceed established critical metrics
• Working closely with the management to share funnel conversion improvement ideas, feedback & present results.

• Required Freshers who can join Immediately
• Must have excellent communication skills
• Will be responsible to do Sales
• Will be responsible to do cold calling
• No - filed Sales
• Work from office 

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.

RESPONSIBILITIES

• Write, execute and maintain test automation scripts using Java/Javascript – Web/API/DB.

• Experience in Agile Methodologies

• Knowledge of In-Sprint Automation

• Have working experience in Automated API Testing

• Design and implementation Experience in Test Strategy

• Write, maintain and execute regression and sanity automation test suite – per build/on demand

• Design data driven tests and fetch the data from API calls/ different Databases(Like MySQL, Oracle, Mongo)

• Attend daily scrum calls, update status

• Good to have Design and Implementation Experience in Test Automation Framework

• Good to have TDD implementation using Mocha or Jest

• Good to have Experience in IOS Automation Testing.

• Interact and collaborate with cross functional teams and understand the business requirements

• Technical Skills:

• 4+ years experience in Automation using Java/Javascript

• Should be Strong in oops concepts

• Strong Knowledge /experience in API and UI framework

• Experience in GIT, CI/CD Jobs development and implementation

• Any one of this is mandatory - TestNG,MOCHA,JEST

• Software Engineering Skills:

• Excellent problem solving and critical thinking

• Experience of In-Sprint Automation

• Take ownership of business problems and technical solutions

• Strong Communication and interpersonal skills

• Hands on with engineering excellence & continuous integration practices

• Experience with Agile and strong collaboration skills with Business and Ops

• What we value as a team:

• Scripts written for readability, performance, scale and maintainability

• Proactive in communication

• Collaborate with other members in agile ecosystem

• Out of the box thinking to resolve issues and bringing New Ideas to bringing Quality in the Applications

• Ability to suggest changes in the product with respect to user experience

Xoxoday is looking for a highly skilled computer programmer who is comfortable with front end programming. The front-end developer's job is to convert website design files into high fidelity HTML/CSS and work on ReactJS code to bring it to life.

• Design and develop UI for SaaS Application using HTML/CSS
• Driving innovations
• Estimate efforts, identify risks, devices and meets project schedules
• Mentors and coaches’ engineers and provide technical leadership

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An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.

• 4 years of strong design and development experience in building massively large-scale distributed internet systems and products
• Skillsets -

• Expert - HTML/CSS/Bootstrap/Pixel perfect UI development.
• Good - ReactJS/AngularJS

• Scripting languages like NodeJS will be good to have
• Building single page applications with multiple components
• Working on complex dashboards and reporting interfaces
• Data structures & algorithms skills
• Open source software, frameworks, and broader cutting-edge technologies
• Modern JavaScript libraries and front-end components
• BS/MS in Computer Science or equivalent

You will be working with top-quality engineers who have built one of the best employee engagement SaaS platforms. You will be reporting to AVP Engineering and working closely with the Architect and other leads.

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A wholesome opportunity in a fast paced environment that will enable you to juggle between concepts, yet maintain quality on content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at Xoxoday.

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A fast growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF, Dubai, Singapore and Dublin. We have three products in our portfolio: Plum, Empuls and Compass. Xoxoday works with over 1000 global clients. We help our clients in engaging and motivating their employees, sales teams, channel partners or consumers for better business results.

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We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. We however assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.