Benefits:

• Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office.

• Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.

• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.

• Collaborative and supportive work environment, with a strong focus on personal and professional growth.

• Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.

Experience Requirements:

• Operational Experience: A proven record in managing complex projects or strategic leadership roles, with demonstrable experience in client-facing positions within AI or technology integration.

Other Requirements:

• Exceptional Communication Skills: Capable of earning customer trust and liaising effectively between clients and internal teams.

• User Empathy and Customer Focus: A deep sense of user empathy and a customer-obsessed approach, ensuring solutions are technically sound and aligned with customer needs.

• Thrive in Ambiguity: Ability to identify critical problems in complex situations, define outcomes, and create structure among competing priorities.

• AI Passion: A passion for AI and optimism about its potential to impact the world.

• Coding Experience: Proficiency in programming, scripting, or statistical packages (e.g., Python, R, Matlab, SQL).

• Travel: Ability to travel 25-75%, varying by team.

Responsibilities:

• Earn Customer Trust: Demonstrate customer empathy and be the face of Distyl, managing relationships from end-users to executive stakeholders.

• End-to-end Workflow & Outcome Ownership: Identify the most valuable problems to solve. Embed yourself in the customer's workflow to understand it better than the users themselves. Ensure high accuracy and reliability to achieve the desired outcomes. Take ownership and accountability for the success of the customer engagement.

• Leadership: You and a technical lead will be jointly responsible for leading a team to deliver results to the customer.

• Data Analysis: Navigate noisy enterprise data to identify how AI can create reliable outcomes despite real-world constraints.

• User Adoption: Onboard users to our enterprise applications and platform, ensuring they realize value. Editorial Note: The original extract provided 6 distinct responsibilities. Given the schema limit of 5, the last responsibility, "Product Feedback", was omitted to adhere to the constraint.

Benefits:

• Competitive salary and benefits package, including equity options and healthcare.

• Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.

• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.

• Collaborative and supportive work environment, with a strong focus on personal and professional growth.

• Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.

Experience Requirements:

• 3+ years of product design experience in SaaS or enterprise tech.

Other Requirements:

• Proficiency in Figma (or equivalent tools like Adobe XD, Sketch).

• Strong ability to balance execution with strategy - refine designs quickly while proposing broader, long term improvements.

• Experience working within brand guidelines.

• Clear communication & problem -solving skills - ability to justify design decisions and iterate quickly and effectively.

Responsibilities:

• Demonstrate UX Process Contribution - Able to clearly articulate design process, problem solving approach and contributions to the process.

• Lead End-to-End Design - Own the design process from concept to execution, working across interaction models, user flows, prototypes, and visual design to create seamless user experience.

• Enhance Product & UX Strategy - Balance short-term design execution with long-term product improvements Work in a Fast-Paced Environment - Adapt quickly to evolving requirements, refine in-flight designs, and make impactful decisions on tight timelines.

• Collaborate & Advocate for Design - Work cross-functionally with Engineers, Strategists, Researchers, and other stakeholders to ensure alignment while advocating for the best user experience.

• Maintain & Evolve Design Systems - Ensure consistency across the product by leveraging and refining existing design systems while contributing to future improvements.

Benefits:

• Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office.

• Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.

• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.

• Collaborative and supportive work environment, with a strong focus on personal and professional growth.

• Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.

Education Requirements:

• Bachelor’s degree in Computer Science, Mathematics, or a related technical field.

Experience Requirements:

• 3+ years of experience as a software or machine learning engineer.

• Strong programming skills and experience with production software development.

• Expertise in machine learning frameworks (e.g., PyTorch, Transformers, Scikit-learn), data libraries (e.g., NumPy, Pandas), and ML operations.

• Experience with cloud infrastructure and modern deployment practices (e.g., CI/CD, Git, Docker, AWS/GCP/Azure).

Other Requirements:

• Strong understanding of AI/ML evaluation and how to operationalize responsible, reliable systems.

• Strong communication and collaboration skills, with the ability to work cross-functionally with customers and internal teams.

• Passion for AI and a pragmatic approach to solving real-world problems.

Responsibilities:

• LLM Systems Engineering: Design and implement robust LLM-powered systems that deliver real business value. This includes model evaluation, prompt design, agent logic, pilot development, and production deployment.

• Customer Collaboration: Work closely with customer stakeholders to understand business pain points and technical constraints, then translate these into technical architectures and applications.

• Platform Development: Contribute to the development of Distillery, our internal platform for LLM application development, by building reusable components, tools, and infrastructure to support the broader engineering team.

• Production Quality: Ensure that deployed systems are observable, maintainable, and meet rigorous performance and reliability standards.

• AI Evaluation: Apply a scientific and thoughtful approach to model vetting and evaluation, accounting for accuracy, explainability, cost, latency, and robustness. Editorial Note: The original extract provided 7 distinct responsibilities. Given the schema limit of 5, the responsibilities