The Platform Product Manager will build and scale Distyl's internal AI platform, collaborating with engineers and customers to develop scalable AI solutions and ensure system reliability.

The Applied AI Researcher will explore new AI system architectures, develop prototypes, analyze data, and redefine human-AI collaboration for enterprise applications.

Researcher will adapt foundation models for real-world applications, focusing on performance, alignment, and human-centric objectives to optimize AI systems for enterprises.

The Applied AI Researcher will design complex AI systems, integrate diverse components, and innovate in the utilization of AI for enterprise workflows. They will also conduct research on system interactions and workflows while building prototypes and demonstrating AI capabilities.

The Applied AI Researcher will design benchmark frameworks, conduct statistical evaluations, and leverage AI to redefine enterprise software usage and measure intelligent system performance.

The Applied AI Researcher will design self-improving systems that evaluate and enhance performance through feedback and self-modeling. The role demands a creative approach to redefine software usage, focusing on continuous learning and improvement using advanced AI techniques.

Design, deploy, and operate production AI systems for enterprise customers. Build compound workflows combining models, agents, retrieval, and evaluation. Measure and iterate on live systems, integrate with customer data and APIs, and collaborate with stakeholders to ensure reliability and business impact.

Design, build, and operate end-to-end AI systems in enterprise environments. Own architecture, integrations, security, observability, and operational patterns; deliver reference implementations and resolve high-impact production issues while partnering closely with customer engineering and security teams.

As an AI Platform Engineer, design and optimize the AI-native platform, develop scalable infrastructure, and collaborate with teams to solve complex AI deployment challenges.

As an AI Strategist, you'll lead customer projects, embedding in workflows to identify AI opportunities, ensuring delivery quality, user adoption, and customer trust.

Own and run month-end close, reconciliations, billing, collections, revenue recognition, and payroll accounting. Build scalable accounting infrastructure, controls, and GAAP policies; support forecasting, cash management, audit readiness, and cross-functional finance operations.

The Executive Business Partner supports the CEO by managing priorities, optimizing schedules, coordinating initiatives, and ensuring effective communication among stakeholders.

The Frontend Product Engineer will design and ship interfaces for AI systems, collaborate with domain experts and move quickly from prototypes to production, focusing on user experience.

The Frontend Platform Architect will design and build a platform for creating applications that utilize AI capabilities, ensuring enterprise-grade standards and integration with existing systems.

The AI Infrastructure Engineer designs and operates cloud-native infrastructure, drives automation through CI/CD pipelines, ensures security compliance, and enhances observability for AI applications.

As Head of Talent Acquisition, you'll lead the hiring strategy, manage executive searches, and build a high-performing recruiting team to drive talent acquisition for a rapidly growing AI company.

As a Product Marketing Manager, you'll craft Distyl's market narrative, create sales enablement materials, and drive customer engagement through effective content and insights, collaborating closely with sales, engineering, and leadership teams.

The Commercial Counsel will establish legal frameworks for revenue growth, manage contract negotiations, and ensure compliance while streamlining legal processes to support business operations.

The Strategic Account Director will drive complex sales of CX solutions to Fortune 1000 companies, owning enterprise accounts and leading high-value sales cycles focused on measurable outcomes.