We value innovation, creativity and collaboration to a great deal. If you are excited to hear the word “mobile” and ready to work in a dynamic and exciting start-up environment, we would love to hear from you.

At Blesh, you will get to work side by side with a talented team with diverse backgrounds on mobile technologies and communications.

All available positions will be posted on this page. If you are interested, please click on the button to apply for the role.

We are looking for an experienced Account Manager for our location intelligence advertising platform. The successful candidate will be in charge of daily operations including preparation, implementation and management of all campaigns, and will be in direct contact with media agencies and advertisers while acting as an ambassador for our growing ad platform. Our Account Manager will work in a fast-paced, detail oriented start-up environment, work with data and new ad formats while facilitating adoption of our technology.

If you have a passion for client strategy and are tech savvy, we would like to hear from you!

Responsibilities:

• Act as liaison with media agencies and publishers regarding planning, tracking, scheduling and delivery of campaigns
• Driving the strategy and long term success of a campaign, proactively monitor and optimize to improve campaign performance
• Manage the scheduling, production and implementation of all advertising campaigns
• Act as a bridge between our sales and technology teams regarding advertising technologies, tracking performance and campaign performance 
• Understanding and effectively communicating Blesh technology, processes, and partnerships as they relate to the growth of current and prospective client accounts
• Maintaining a metrics-based approach to ensure client satisfaction
• Work closely with media vendors and media teams to resolve reporting and/or billing discrepancies
• Demonstrate multi-tasking ability; keep multiple projects on-track

Requirements:

• 2-4 years experience in an ad tech environment, media agency or performance based units 
• Background in digital marketing and campaign management
• Understanding of mobile technologies and ad tech interfaces 
• Data driven marketing experience is a plus 
• Ability to think strategically about our clients’ needs and business goals
• Accountable for results and deliverables; self-starter who works independently and proactively
• Strong written and verbal communication skills 
• Strong analytical and organizational skills
• Superior project and time management skills; excellent attention to detail
• Ability to be flexible and adapt quickly in a fast-paced, start-up environment
• Good knowledge of MS Word, Excel and Powerpoint
• Fluency in English is a must

We are looking for a Data Engineer to join our IT team in order to help us expanding and optimizing our data and data pipeline architecture, support data needs of the stakeholders, and work collaboratively with software engineers and business analysts.

The ideal candidate is an experienced engineer who is passionate about working with huge data, who enjoys optimizing data systems and building them from the ground up. The job description includes designing, building and managing data systems and databases. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. He/she must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Responsibilities:

• Responsible for the management of all data created within client applications, the structure of data held and the views of data created
• Responsible for recommending the correct technologies to be used and in the most cost-effective manner
• Propose design solutions and recommend best practices for large scale data analysis
• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Product and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Interpret business needs from requests, and rapidly implement effective technical solutions.
• Automate and improve creation/maintenance of reports and dashboards.
• Utilize data to resolve business issues in the most effective manner providing best reporting through dashboards and other means of communication through data.
• Proactively recommend operational efficiency and performance enhancements based upon data analysis.
• Demonstrate outstanding communication skills to translate reporting requests in order to accurately meet the actual information and deadline needs of users.
• Maintain source code repository of scripts (SQL, Python, etc.) and other data products (dashboards, reports, etc.).
• Iterate on our data warehousing strategy as the volume of our data increases, optimizing for data availability and efficient use of resources

Qualifications:

• S. or M.S. degree on Computer Engineering
• 3+ years of experience on Data Analysis or Data Engineering
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL)
• Advanced knowledge and experience on database definition and schema design experience
• Experience on Linux command line and Bash scripting
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

The following assets are plus for the ideal candidate:

• Experience on Git/GitHub
• Experience on Amazon services like RDS, Redshift, S3, Kinesis, and EMR is a huge plus
• Experience on ML
• Proficiency in Node.js
• Experience with data pipeline and workflow management tools
• Experience or knowledge on big data tools (Hadoop, Spark, Kafka, etc.)
• Knowledge and experience on NoSQL databases

Skills & Experience:

Ability to scope a project based on a technical brief and work with the DevOps and QA teams to provide a detailed project plan including:

• Data Flow Diagrams for process flow
• Database Schemas & Normalisation
• Recommended software / plugins / architecture
• Scalable environment architecture suggestions
• Hosting, storage, load balancing and caching suggestions
• Performance considerations
• Security considerations
• Assumptions & Exclusions
• A complete and accurate estimate for the project