Pathologist

Strong Manager – Customer Success, Account management Profile

Mandatory (Experience 1) – Must have 6+ years of overall experience with atleast 4+ 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

1. Receive and work on generated leads.

2. Engage with customers through phone calls to understand their requirements.

3. Guide interested customers to enroll in a demo session.

4. Conduct closure calls to finalize sales.

Required a full stack Senior SDE with focus on Backend microservices/ modular monolith with 3-4+ years of experience on the following:

• Bachelor’s or Master’s degree in Computer Science or equivalent industry technical skills
• Mandatory In-depth knowledge and strong experience in Python programming language.
• Expertise and significant work experience in Python with Fastapi and Async frameworks. 
• Prior experience building Microservice and/or modular monolith.
• Should be an expert Object Oriented Programming and Design Patterns.
• Has knowledge and experience with SQLAlchemy/ORM, Celery, Flower, etc.
• Has knowledge and experience with Kafka / RabbitMQ, Redis.
• Experience in Postgres/ Cockroachdb.
• Experience in MongoDB/DynamoDB and/or Cassandra are added advantages.
• Strong experience in either AWS services (e.g, EC2, ECS, Lambda, StepFunction, S3, SQS, Cognito). and/or equivalent Azure services preferred.
• Experience working with Docker required.
• Experience in socket.io added advantage
• Experience with CI/CD e.g. git actions preferred. 
• Experience in version control tools Git etc.

This is one of the early positions for scaling up the Technology team. So culture-fit is really important.

• The role will require serious commitment, and someone with a similar mindset with the team would be a good fit. It's going to be a tremendous growth opportunity. There will be challenging tasks. A lot of these tasks would involve working closely with our AI & Data Science Team.
• We are looking for someone who has considerable expertise and experience on a low latency highly scaled backend / fullstack engineering stack. The role is ideal for someone who's willing to take such challenges.
• Coding Expectation – 70-80% of time.
• Has worked with enterprise solution company / client or, worked with growth/scaled startup earlier.
• Skills to work effectively in a distributed and remote team environment.

• The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

• Experience using statistical languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Looking for someone with 3-7 years of experience manipulating data sets and building statistical models
• Has a Bachelor's, Master's in Computer Science or another quantitative field
• Knowledge and experience in statistical and data mining techniques :
• GLM/Regression, Random Forest, Boosting, Trees, text mining,social network analysis, etc.
• Experience querying databases and using statistical computer languages :R, Python, SQL, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees,neural networks, etc.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
• Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.