Own Improvado’s positioning, messaging, persona documentation, product launch messaging, competitive intelligence, win/loss program, and sales enablement. Develop analyst relations and market narratives, support enterprise and competitive deals, and feed buyer and market insights into product prioritization.
Manage and improve cloud infrastructure, Kubernetes reliability, infrastructure-as-code, monitoring, databases, messaging systems, security, and network design. Optimize cloud costs, respond to incidents, and participate in the on-call rotation.
Create one short video each week about Improvado’s products, use cases, features, and AI Agent. Develop engaging scripts and stories from product briefs, and handle filming, voiceover, editing, captions, and on-screen text.
You will drive the product roadmap and end-to-end delivery of complex marketing data solutions, including SQL DataMarts and automated analytics workflows. You will also collaborate with engineering and client-facing teams to troubleshoot data pipelines and implement scalable, AI-driven solutions.
You will own the product roadmap and end-to-end delivery of complex marketing data solutions, including SQL DataMarts and automated analytics pipelines. You will collaborate with engineering and client teams to design features, troubleshoot data quality issues, and implement scalable, AI-driven processes.
The Marketing Analyst will own end-to-end client delivery, including data modeling, dashboard design, and actionable reporting. They will also manage data transformations in dbt and ensure data accuracy through rigorous QA/UAT processes.
Own the end-to-end delivery of marketing data solutions for customers, from discovery calls and data modeling to pipeline construction and dashboarding. Collaborate with Product teams to report platform gaps and ensure high-quality production deployments.
Manage the end-to-end data pipeline for enterprise accounts, including source connection, data modeling, and dashboard creation. Act as the primary point of contact for customers, providing insights and ensuring data accuracy through regular communication.
You will own the core positioning, messaging, and category framing for the product while driving sales enablement and competitive intelligence. Additionally, you will manage analyst relations and ensure consistent messaging across all customer-facing channels.
The Enterprise Account Manager will oversee the full spectrum of product and service offerings while managing client relationships end-to-end. They are responsible for driving project execution, analyzing marketing data, and collaborating with internal teams to ensure client success.
You will lead the architectural direction of the platform team, focusing on scaling data pipelines and integrating AI-assisted development practices. This involves hands-on coding, mentoring engineers, and modernizing legacy systems into scalable, AI-native infrastructure.
The Account Executive is responsible for managing the full sales cycle, from self-sourcing leads to closing contracts with marketing and data leaders. They will coordinate internal resources, including Sales Engineers, to conduct technical validations and build compelling business cases.
You will own the end-to-end delivery of complex client data implementations, including SQL DataMarts and custom pipelines. Additionally, you will build and maintain automated analytics workflows using AI tools to optimize marketing data processes.
The role involves owning end-to-end client delivery by designing data models and maintaining dashboards across various BI platforms. The analyst will translate client requirements into actionable reporting and manage data transformations using dbt.
The role involves owning end-to-end client delivery by designing data models and maintaining BI dashboards. You will translate client requirements into actionable marketing insights and manage data transformations using dbt.
The role involves owning end-to-end client delivery by designing data models and maintaining BI dashboards to surface marketing insights. You will manage data transformations using dbt and communicate actionable findings directly to stakeholders.
The Senior Solutions Engineer manages end-to-end client delivery, from data modeling and transformation in dbt to final reporting. They are responsible for building dashboards in BI platforms and providing actionable marketing insights to clients.
The role involves owning end-to-end client delivery by designing dashboards and managing data transformations in dbt. The consultant will translate client requirements into actionable reporting and ensure data quality across various BI platforms.
The role involves owning end-to-end client delivery by designing dashboards and managing data transformations in dbt. The analyst will translate client requirements into actionable reporting and ensure data quality across various BI platforms.
The role involves owning end-to-end client delivery by designing dashboards and managing data transformations in dbt. The analyst will translate client requirements into actionable reporting and ensure data quality across multi-source architectures.
The role involves owning end-to-end client delivery by designing dashboards and managing data transformations in dbt. The analyst will translate client requirements into actionable reporting and ensure data quality across various BI platforms.
The role involves owning end-to-end client delivery by designing dashboards and managing data transformations. You will translate client requirements into actionable reporting and ensure data quality across various BI platforms.
The role involves owning end-to-end client delivery by designing dashboards and managing data transformations in dbt. The analyst will translate client requirements into actionable reporting and ensure data quality across multi-source architectures.
The Senior Marketing Analyst is responsible for helping clients maximize value from their marketing data by designing and maintaining dashboards, ensuring data quality, and delivering actionable reporting. The role also involves managing data transformations and supporting clients directly to translate their requirements into data solutions.
