This means shipping the editor experience (blocks, text editing, images, layouts, diagrams), polished outputs (present mode, document view, mobile responsiveness, PDF and PowerPoint export), and AI interactions that make changing layouts, tweaking design, and generating content feel effortless.

As Engineering Manager for the Editor team, you'll balance hands-on technical leadership with people management. You'll build and mentor a high-performing engineering team, partner closely with PM, design, and AI on technical feasibility and architecture decisions, and contribute to broader EPD leadership by proactively identifying opportunities and gaps.

You'll hold the team to a high bar for craft while keeping delivery moving.

Our team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.

Responsibilities

• Build, mentor, coach, and grow a high-performing engineering team delivering on ambitious roadmap goals
• Partner closely with PM, design, and AI teams on technical feasibility, architecture decisions, and prioritization
• Contribute to broader engineering and EPD leadership by surfacing opportunities, risks, and misalignment early
• Balance craft and polish with delivery velocity, holding the team to a high bar while shipping consistently
• Review code, prototype solutions, and debug complex performance issues as a hands-on technical leader

Requirements

• 5+ years of engineering leadership experience at fast-moving companies, with at least 2 years managing and developing high-performing engineering teams
• Track record of shipping highly visual, polished consumer or prosumer products at scale, with the ability to inspire and hold others to a high bar for craft
• Hands-on technical ability to review code, prototype, and debug complex performance issues
• High empathy and EQ with a reflective, self-aware approach. You navigate difficult conversations with kindness and ground feedback in candor
• Strong technical depth in frontend (React/TypeScript), rendering performance, or rich text editors like ProseMirror, with experience building content editors, website builders, or design tools (Nice to have)
• Experience with AI product integration, LLM interactions, or generative UI (Nice to have)

Compensation

The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $250K - $350K plus benefits & equity.

_Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above._

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff - Multimodal - MAI Superintelligence Team at their New York office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI systems. 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 - Multimodal - MAI Superintelligence Team, you will develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines. You will improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not. You will follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. You will innovate and iterate over ideas, prototypes, and product. You will collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. You will advance the AI frontier responsibly. You will embody our culture and values.

Accountabilities

• Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines.
• Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with large-scale AI systems — design and deployment of distributed architectures, multimodal or conversational models; proficiency with ML frameworks (e.g., PyTorch, TensorFlow) and cloud/HPC environments (e.g., Azure).
• Expertise in data engineering for foundation models — multimodal dataset design, curation, annotation pipelines, quality evaluation, bias detection, and understanding of privacy, compliance, and Responsible AI principles.
• Background in LLM interaction and deployment — practical work in prompt engineering, safety-aligned evaluation, and integration of conversational AI into production systems.

Personal attributes:

• Cross-functional collaboration and communication — ability to produce clear technical documentation, partner with engineering, product, and design teams, and contribute to knowledge sharing; demonstrated application of emerging AI technologies and best practices.

Benefits

• Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.
• There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

XML job scraping automation by YubHub