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The Lead Account Executive will drive sales strategies for DataRobot's predictive analytics solutions, focusing on value selling and stakeholder engagement in sophisticated markets while also collaborating with technical teams to demonstrate product value.

Responsible for identifying prospects, managing sales cycles, achieving sales goals, and collaborating with teams to refine sales strategies. Requires strong sales skills and network-building capabilities.

The Enterprise Account Executive will manage complex B2B deals, engage OEMs and partners, build channel programs, and ensure successful deployments with a focus on enterprise revenue growth.

Invitation to join Lyra Collective's Talent Community for consideration for future roles across brand management, creative, finance, people operations, marketing, operations, sales, social media, and engineering. Submit your profile to be contacted for relevant openings; company promotes diversity and inclusion.

Join a national appellate and advanced motions team to research and analyze complex state and federal legal issues, draft appellate briefs and significant motions, argue dispositive and evidentiary motions, support trial teams, and develop legal strategy across high-profile product liability and complex commercial litigation matters.

Provide technical pre-sales support for enterprise cloud networking accounts: build CXO relationships, lead complex pre-sales campaigns, run POCs, coordinate internal teams, and develop cloud automation strategies to convert opportunities into sales.

Hunter-focused enterprise sales role to build net-new pipeline and close Agentic AI, cloud, and identity security services. Own full sales cycle, prospect into CIO/CISO/CTO-level buyers, collaborate with architects, maintain Salesforce hygiene, and shape GTM strategy in a small startup environment.

Designs, delivers, and implements retail training programs across North America to elevate brand standards and sales/service excellence. Conducts field coaching, boutique visits, analyzes sales KPIs, partners with central teams to adapt materials, and aligns training plans with retail strategy to ensure consistent brand experience.

This job does not provide specific responsibilities, it is only labeled as a test position.

Build, optimize, and deploy machine learning models (especially time series) using Python, PySpark, and cloud tools. Perform feature engineering, evaluate model performance (MAPE, RMSE, R²), and create ETL/data pipelines with integration tools. Work with Palantir Foundry, Google Cloud (BigQuery, Vertex AI), AutoAI, and data warehouses to support large-scale analytics. Collaborate with stakeholders, monitor production models, and continuously improve model accuracy and pipelines.