Senior Engineering Manager, Multimodal AI

Senior Engineering Manager, Multimodal AI

Compensation: $220,000 - $250,000 base + equity

Location: San Francisco Bay Area, hybrid (2–3 days/week in office)

Join a fast-growing AI infrastructure company building the systems that sit between raw data and model performance. This is a high-ownership leadership opportunity at a place where data quality is treated as a first-class engineering challenge. Their platform powers advanced multimodal and generative AI use cases for enterprise and research teams - and they’re entering a new phase of growth with strong technical leadership and clear product momentum.

The Mission

As AI capabilities accelerate, the quality, speed, and reliability of data workflows are becoming a fundamental differentiator. This company is rethinking how labeling, evaluation, and iteration happen at scale. By combining robust software, expert workflows, and AI-assisted tooling, they help teams ship production-grade models across text, image, video, and audio.

The Role

You'll lead the engineering team behind the core multimodal user experience - building the high-interaction tools customers use daily to label and evaluate data. This work is central to platform adoption, throughput, and long-term scalability. Reporting into senior technical leadership, you’ll own execution, direction, and people leadership for a frontend-leaning product engineering team working at the intersection of AI systems and user experience.

What You’ll Do

• Lead a high-impact team in building multimodal labeling and evaluation tools
• Drive sprint planning, technical delivery, and execution quality
• Guide architecture decisions across a frontend-heavy stack
• Partner with product, platform, and AI teams to deliver on roadmap priorities
• Mentor and grow engineers, supporting team development and hiring
• Enable AI-assisted workflows and rubric-driven evaluation tools

What You’ll Bring

• Proven experience leading and scaling high-performing engineering teams
• Technical depth in React and TypeScript, with strong full-stack judgment
• Ability to steer architecture across Node.js and Python services
• Familiarity with applied AI concepts (e.g. model eval, prompt design, LLM workflows)
• Comfort in high-velocity environments with strong ownership norms
• Empathetic, growth-minded leadership style

Tech Stack

• React & TypeScript
• Node.js
• Python
• Internal tools for labeling, evaluation, and AI-augmented workflows

Why Join?

• Critical Infrastructure: Shape a product used by advanced AI teams daily
• High Visibility: Work closely with senior technical leadership
• Strong Compensation: Competitive base + meaningful equity
• Employee-First Benefits: Health coverage, flexible PTO, learning budget, home office stipend, and more

About People In AI

People In AI partners with AI-first companies to hire engineers and leaders who want to build durable systems with real-world impact. Every role we work on is high-signal, technically meaningful, and designed for long-term growth.

Let me know if you'd like this adjusted for a more frontend-heavy angle or reframed for different seniority levels.