GTM Engineer (AI & Automation)

This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.

"DDN's A3I solutions are transforming the landscape of AI infrastructure." - IDC

"The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments" - Marc Hamilton, VP, Solutions Architecture & Engineering | NVIDIA

DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence.

Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management.

Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage.

As a GTM Engineer at DDN, you will be at the forefront of embedding AI technologies and automation into our GTM operations. Your role involves maintaining and optimizing data infrastructure, developing intelligent automations, and providing actionable insights by combining internal and external data sources. This position requires a blend of technical expertise, data analysis, and business acumen to build a scalable and efficient revenue engine.

Key Responsibilities

AI Integration & Revenue Optimization

Implement AI Solutions: Integrate AI tools to enhance forecasting accuracy, lead scoring, and sales efficiency within GTM teams.
• Data Synthesis: Combine internal CRM data with external market intelligence to develop predictive models that inform strategic decisions and drive revenue growth.
• Stakeholder Collaboration: Work closely with sales, marketing, and customer success teams to embed AI-driven insights into daily operations, ensuring alignment and effectiveness.
• Build and deploy AI agents with tools such as n8n and langchain.

Data Engineering & Management

• Data Warehouse Maintenance: Manage and optimize data warehouses (e.g., BigQuery), ensuring data integrity, accessibility, and performance.
• ETL Pipeline Development: Design and implement scalable Extract, Transform, Load (ETL) processes to support data integration and analysis needs.
• Data Quality Assurance: Regularly audit and cleanse data to maintain high-quality standards across all GTM systems.

Automation & Process Enhancement

• Workflow Automation: Develop and deploy scripts and applications (using Python, SQL, etc.) to automate routine GTM processes, improving efficiency and reducing manual effort.
• System Integration: Ensure seamless integration between various GTM tools and platforms, facilitating smooth data flow and unified operations.
• Continuous Improvement: Identify opportunities for process enhancements and implement solutions to optimize GTM workflows.

Data Accessibility & Visualization

• Dashboard Creation: Develop intuitive dashboards and reporting tools (using Tableau, Looker, Power BI) to provide GTM teams with real-time, actionable insights.
• User Training: Educate team members on utilizing data tools effectively, promoting a data-driven culture within the organization.
• Documentation: Maintain comprehensive documentation of data models, workflows, and processes to ensure transparency and knowledge sharing.

Requirements

• Experience: 4 years in roles such as Sales Operations, Marketing Operations, Data Engineering, or similar, preferably in B2B technology environments.
• Technical Skills: Proficiency in managing data warehouses (BigQuery, Snowflake, Redshift), strong coding skills in Python and SQL, and experience with AI integration and predictive modeling. Must be familiar with AI agents.
• Analytical Abilities: Demonstrated capability in data analysis, developing insights, and translating them into strategic actions.
• Business Acumen: Understanding of sales and marketing processes, with the ability to align technical solutions with business objectives.
• Communication Skills: Excellent ability to convey complex technical concepts to non-technical stakeholders and collaborate across departments.

DDN has a very strong orientation towards these 4 characteristics and any successful employee will demonstrate these capabilities:

Self-Starter - Takes independent action to identify and solve problems. Seeks out relevant information needed to make decisions. Gets involved with new initiatives.

Success/Achievement Orientation - Delivers quality results consistently. Targets, achieves (or exceeds) measurable results. Sets challenging goals, focuses on critical priorities, and is accountable.

Problem Solving - Recognizes problems and responds with a systematic assessment that identifies and addresses cause of issue. Practical, realistic, and resourceful.

Innovative - Builds and improves key business processes that enhance the effectiveness of DDN. Generates new ideas, challenges the status quo, and solves problems creatively.

DataDirect Networks, Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, transgender, sex stereotyping, sexual orientation, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.

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