Workiva

Summary The Senior Machine Learning Engineer is responsible for delivering machine learning (ML) infrastructure solutions across Workiva with the goal of improving quality, reliability, and efficiency of ML services. The role develops tools, systems, and automation to help monitor, measure, manage, and make transparent Workiva’s machine learning models. The Senior ML Engineer analyzes issues that prevent availability or scaling and derives solutions that provide long-term stability. The role works across product lines to standardize tools and methodologies. They will also provide technical leadership to a team of Engineers to create a reliable and stable platform.  Responsibilities Deliver, update, maintain machine learning model training infrastructure Design systems to enable rapid ML development, high availability, and clear observability Write automated tests (unit, integration, functional, etc) with ML solutions in mind...

Summary The Senior Revenue Operations Analyst will partner with cross-functional units including sales, marketing, and customer success leaders to design measurement models and architecture of core analytics and dashboards to monitor, diagnose and support our go-to-market initiatives and sales performance.   Responsibilities Tracks key metrics such as activities, funnel stages, pipeline, bookings, region and product based analytics, deal sizes and close cycles. Supports Sales, Marketing, and Customer Success leaders in creating executive presentations Performs ad hoc analysis as needed across multiple data sets, including Salesforce, Marketo, and enterprise data warehouses Continuously monitors revenue metrics with a good understanding of KPIs and how they can be impacted. Guides the business in understanding how marketing and sales spend and outcomes accurately drive impact and return on investment via accurate reporting & forecasting....