We're seeking a data-driven GTM Automation Engineer to design, build, and maintain sophisticated automation workflows that optimize our entire go-to-market operation from initial prospect through long-term customer success. You'll combine your data engineering background with AI prompting expertise to create intelligent systems that streamline sales, marketing, and customer success operations. This role is perfect for someone passionate about leveraging modern automation platforms and AI to transform how businesses scale their revenue operations.
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As an Associate Director at CrossCountry Consulting, you'll be a trusted partner, delivering tailored solutions to clients. Responsibilities include serving as a strategic thought partner to C-suite executives, advising on technology and data strategy, and leading end-to-end data solution implementation. You will also be expected to mentor team members by coaching colleagues, providing regular ongoing feedback and annual performance reviews, and helping project teams resolve complex issues.
As a Software Engineer specializing in data connectors and transformation frameworks, this role will be the technical owner of ClickHouse's most critical data pipeline integrations. The role sits at the intersection of high-performance database engineering and modern data orchestration, building connectors and adapters that enable data teams to seamlessly incorporate ClickHouse into their existing workflows.
Working across all aspects of data from engineering to building sophisticated visualizations, machine learning models and experiments. Producing institutional grade data insights reports on macro trends as well as sector trends. Analyze and interpret large volumes of on-chain transactional and operational data using proprietary and open source data tools, platforms and analytical tool kits.
The data science team at Ocrolus builds high-quality, impactful analytics and machine-learning based products that empower lenders to make better credit, fraud, and operational risk decisions. Data scientists play a critical role in the full product development cycle and move fast to ideate, build, deploy, and maintain production quality models. If you are a data scientist looking to leverage your strong engineering abilities in building ML models end-to-end, then we want to talk to you!
The Senior Manager, Analytics Engineering (R&D) sits at the intersection of Business Strategy, Analytics Engineering, and Data Engineering and is responsible for leading a team that brings robust, efficient, and integrated data products to life. The Senior Manager, Analytics Engineering (R&D) speaks the language of business teams and technical teams, able to translate data insights and analysis needs into data models powered by the Enterprise Data Platform.
Lead our Link Activity data product, part of Linkโs Internal Data Products, providing high-quality deep data for the Veeva Link suite. The Activity product focuses on ingesting, processing, tagging, and delivering data for scientific and digital activities, including clinical trials, publications, and scientific events. Define and prioritize the Link Activity data roadmap and drive development of data initiatives from ideation to delivery.
Lead and scale the Analytics function, building a best-in-class data-driven culture, and influencing strategic decision-making. Lay the data infrastructure foundation that supports expansion and ensures we harness the power of our data. Oversee the central Analytics function, ensuring its effectiveness in providing actionable insights to business units.
This role leads Hungryrootโs centralized data function, responsible for data engineering, data governance, and business intelligence infrastructure and owns the foundation that enables data-driven decision making across the organization, ensuring data integrity, accessibility, and security while building scalable platforms for analytics consumption. This position represents a critical component of our consolidated analytics strategy.
Tailscale is looking for a Director of Data to build our data engineering, analytics engineering, data analysis, and data science functions. We are looking for a leader with strong data engineering and analytics engineering experience and who has solid business acumen. This leader would help lead our data organization and design and build our data infrastructure to support data-driven decision-making.