Overview
Combining some of the qualities of both a data analyst and software engineer as a Sales and Partnerships Support Engineer you will provide technical support to SuperAwesomes sellers business development and account management teams to help build oneoff or prototype tools to rapidly demonstrate value in the course of client and partner engagements.
You will be expert in the technical aspects of Superawesomes software products and data estate knowing how and where to source and process data to address their needs and being able to autonomously use that data to offer supporting technical artefacts such as visualisations and dashboards.
Specific Responsibilities
- Provide ondemand technical assistance to Sales Ad Operations/Yield Management Business Development and Account Management in the field. This will likely include adhoc hypothesis testing data extraction troubleshooting data visualisation and prototyping of bespoke functionality
- Work closely with SAs Product Managers both to help them prototype and explore new ideas and to bring them emerging requirements you discover in the form of functionality you deliver that may point to a need for new Product functionality
- Collaborate closely with our product and data engineering teams and data science function to keep abreast of the technical details of how our products work how to integrate your work with them without compromising the production integrity of our products and how to access our data estate
Required Experience
- Background in the digital marketing and advertising industry with a good understanding of the programmatic advertising ecosystem
- Experience working directly with commercial functions in a sales engineer sales support engineer or technical professional services capacity
- Comfortable and experienced in managing adhoc and often timeconstrained service demands from stakeholders in commercial organisations
- Demonstrable experience working with SQL at least one scripting language (ideally TypeScript or Python) websing tools and cloudnative environments (ideally AWS but GCP also acceptable) and the use of generative AI tools to accelerate the analysis of structured and unstructured data
Key Skills
- Curious about our clients problems and a good enough understanding of advertising to think about solutions to them
- Outstanding communicator with high EQ able to clearly explain technical things to semi or nontechnical people
- Self motivating and able to prioritise effectively in complex environments with high degrees of uncertainty and commercial stakeholders
- Excellent SQL and fluent pragmatic scripting in Python or Typescript
- Able to work with Product engineers to arrive at solutions that deliver required results without compromising product integrity
- Comfortable and effective operating with multiple stakeholders