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Manage technical workstreams and client-facing projects for enterprise software implementations, ensuring successful AI deployments and customer satisfaction. Lead user sessions and presentations while collaborating with team members.

The Strategic Solutions Director is responsible for managing senior customer relationships, driving commercial outcomes, leading pilot-to-production conversions, and ensuring team alignment for account success.

The AI Solutions Director will oversee and enhance customer engagements, ensuring efficient delivery and driving value realization from AI solutions while managing a team and client relationships.

Design and maintain cloud infrastructure on GCP, manage Kubernetes, improve CI/CD pipelines, ensure reliability and security, and support rapid development cycles.

Architect and scale agentic systems powering the Axion platform: own orchestration, memory, retrieval, reasoning, evaluation, and observability. Harden pipelines from messy ingestion to agent-driven root-cause insight, establish rigorous testing for non-deterministic LLM systems, set technical direction, and mentor engineers while partnering with Product and Engineering leadership.

The Senior Director, Industrials will lead Axion's business in the Industrials sector, focusing on customer acquisition, enterprise partnerships, and ensuring product quality through AI insights.

The Senior Director of Customer Success will lead Axion's customer experience, manage a team, oversee strategic accounts, define success metrics, and collaborate with various departments to ensure customer satisfaction and growth.

Partner with senior leaders to build foundational people systems for scale: performance management, manager enablement, leveling, onboarding/offboarding, feedback loops, workforce planning, and data-driven retention and engagement strategies. Coach managers on sensitive employee relations and collaborate with Recruiting, Finance, and Operations to align compensation and organizational design.

Perform data collection, cleaning, validation, and analysis on large client datasets using Python, SQL, and spreadsheets. Produce actionable insights and business narratives, automate data workflows, and support text/document annotation to generate labeled data for NLP and LLM solutions. Collaborate with senior analysts and improve internal analytical processes and tool configurations.