Technical Program Manager, AI Performance

About the Company The organization operates in the design technology space, providing a collaborative platform that enables teams to create, prototype, and iterate designs efficiently. It addresses challenges in design accessibility and real-time teamwork by offering tools that streamline workflows and support seamless collaboration across desktop, browser, and mobile environments. The platform integrates AI features to accelerate design processes and facilitate innovation.

About the Role The Technical Program Manager, AI Performance is responsible for leading performance-related initiatives across flagship products and emerging AI features. This role ensures the prevention, diagnosis, and safe rollout of performance improvements and involves collaboration with multiple teams. It focuses on maintaining and enhancing performance across diverse platforms, impacting the user experience and operational reliability

Responsibilities

• Lead cross-platform performance programs covering desktop, browser, and mobile contexts
• Manage performance metrics such as load times, FPS, memory usage, and AI model inference latency
• Oversee observability and telemetry initiatives, regression prevention, and incident response
• Coordinate cross-organizational forums and planning related to performance and enterprise readiness
• Drive safe rollout strategies for AI capabilities
• Partner with product, platform, performance, and support teams to resolve performance issues

Requirements

• 5+ years of experience in performance engineering, technical program management, platform TPM, or SRE roles focused on SaaS products
• Expertise in load, stress, performance, or scalability testing and build comparisons
• Strong knowledge of web performance metrics (FCP, LCP), rendering/FPS, WASM memory, and mobile profiling tools
• Experience integrating performance tests into CI/CD pipelines
• Familiarity with distributed systems, cloud infrastructure (AWS), autoscaling, and capacity planning
• Hands-on experience with large language models (LLMs), prompt engineering, or agent platforms

Nice to Have

• Knowledge of MLops or LLMs involving inference latency, batching, and caching
• Experience with observability tools such as Datadog, Sentry, or RUM
• Background in performance engineering with coding or test harness contributions
• Experience with large-scale enterprise planning and load testing
• Understanding of real-time collaboration systems and GPU/WASM performance constraints

Compensation$185,000 — $317,000 USD annually (base salary)

Job level and compensation depend on qualifications, experience, market demand, and work location. Remote pay range may be adjusted to between 80% and 100% of the listed range based on location. Equity and additional benefits included.

Benefits & Perks

• Health, dental, and vision insurance
• Retirement plan with company contribution
• Parental leave and reproductive or family planning support
• Mental health and wellness benefits
• Generous paid time off and company recharge days
• Learning and development stipend
• Work from home stipend
• Cell phone reimbursement

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or nationalorigin.

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