About the job
Customer Experience and Business Trends (CXBT) is seeking a Senior Technical Program Manager to join our exciting team building advanced model and agent evaluation capabilities that measure the performance of GenAI (LLMs, multi-modal models, LLM-based agents) and end-customer experience, providing performance benchmarks versus alternatives. This product provides an opportunity to influence how Amazon teams improve customer experiences through comprehensive model assessment and optimization capabilities. Our objective is to create a self-guided application that empowers teams across Amazon to independently evaluate AI/ML models and LLM-powered agents, and measure application-level outcome metrics. This allows teams to make data-driven decisions about model selection and optimization with speed and agility.
Responsibilities
- Work with product managers and software development managers to scope and define roadmap priorities.
- Develop and execute program roadmaps across product, engineering, and science teams.
- Define success metrics and KPIs, tracking progress towards program goals.
- Create cost awareness of both headcount investment and OPEX, and establish tracking and forecasting mechanism for OP1/OP2 input.
- Leverage your technical experience of Agents/LLMs to highlight projects risks, look around corners and help the team deliver efficiently.
- Anticipate bottlenecks, provide escalation management, and make strategic tradeoffs to optimize time-to-launch.
- Interface with senior leadership to provide program updates and strategic recommendations.
Qualifications
Minimum
- 5+ years of technical product or program management experience
- 7+ years of working directly with engineering teams experience
- 3+ years of software development experience
- 5+ years of technical program management working directly with software engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
Preferred
- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
- Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware