Microsoft AI are looking for a talented Member of Technical Staff - Copilot AI Evaluation Engineering Manager at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff - Copilot AI Evaluation Engineering Manager, you will lead building our LLM evaluation solutions for Copilot. You'll work in a deeply iterative, collaborative, fast-paced environment to improve our technology for millions of users around the world. You will lead a team of talented software engineers and applied AI engineers to deliver world-class evaluation solutions that are secure, reliable, and scalable, while collaborating closely with cross-functional teams including Product and Research.

Accountabilities

• Hire, manage, and lead a team of software engineers, AI engineers, and machine learning engineers responsible for delivering world-class LLM evaluation solutions.
• Collaborate with Eng and Product leadership to prioritize features and improve our world-class AI companion to the world.

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Hands on experience with ML and/or AI evaluation.

Personal attributes:

• Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.

Benefits

• Software Engineering M5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• Certain roles may be eligible for benefits and other compensation.

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What you'll do

We are looking for a Senior Data Engineer to lead the technical initiatives for AI Data Engineering, enabling scalable, high-performance data pipelines that power AI and machine learning applications. This role will focus on architecting, optimizing, and managing data infrastructure to support AI model training, feature engineering, and real-time inference. You will collaborate closely with AI/ML engineers, data scientists, and platform teams to build the next generation of AI-driven products.

• Lead AI Data Engineering initiatives by driving the design and development of robust data pipelines for AI/ML workloads, ensuring efficiency, scalability, and reliability.
• Design and implement data architectures that support AI model training, including feature stores, vector databases, and real-time streaming solutions.
• Develop high performance data pipelines that process structured, semi-structured, and unstructured data at scale, supporting the various AI applications

What you need

• Hands on experience working with Vector/Graph;Neo4j
• 3+ years of experience in data engineering, working on AI/ML-driven data architectures

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We are looking for an ERP Solution Architect to join the team to lead in overseeing the deployment, configuration, customisation, and ongoing maintenance of new capabilities within the ERP Finance and Operations ecosystem at Atlassian Williams Racing.

The ERP Solution Architect will achieve this by utilising their significant understanding of Microsoft Dynamics 365 F&SCM, particularly Operations/Supply Chain and some level of downstream integration to systems such as MES. Experience around D365 Finance is also preferable.

Working within our Enterprise Systems team, you will be responsible for aligning the organisation’s processes, transformation, and requirements with the capabilities of the ERP software; collaborating closely with stakeholders and project teams; and designing and implementing capabilities and architecture that meets the business's specific needs.

Main responsibilities will include:

• Business Understanding & Alignment
• Technical Leadership
• Solution Design
• Solution Implementation
• Solution Administration

What you need

Previous, proven experience in a similar role.

Previous, proven experience in D365 F&SCM with a preference to Operations/Supply Chain capabilities.

Strong experience in Supply Chain management functions including planning, manufacturing, warehousing and logistics.

Proficiency in Financial processes including procure to pay, record to report and inventory cost control.

Experience with integrations into and out from D365.

Understanding of a design-driven discrete manufacturing operation and how ERP interacts with PLM.

Hands on experience with MES and its integration with ERP.

Experience with Power Platform and Dual Write connections to D365 F&SCM.

Collaborative and curious approach to technical problem-solving.

Excellent communication skills with the ability to convey concept technical concepts to non-technical stakeholders.

Ability to work with a wide range of groups and disciplines seamlessly.

Ability to adapt to rapidly evolving requirements.

Why this matters

This role keeps a world-championship-winning F1 team running. When equipment fails, races can be lost, so your work directly impacts performance. You'll develop deep expertise in high-spec facilities and have clear progression into senior facilities management roles. The F1 environment means you'll work with cutting-edge building systems and learn from the best in the industry.

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