Technical Program Manager, Inference Platform

Perplexity; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Perplexity is seeking a technical program manager to unite model providers, engineering, and product teams, driving our inference platform forward. You will orchestrate across partners and internal teams to keep new models and capacity moving smoothly into production, while executing the roadmap for the inference platform itself.

The ideal candidate has strong technical judgment, thrives coordinating across external partners with competing timelines, and is energized by building scalable

Qualifications

• 6+ years of combined technical program management or product management experience.
• Direct experience with production LLM or ML inference.
• Comfort orchestrating across external partners and internal engineering teams.
• Experience with data and metrics, and the judgment to surface tradeoffs between latency, throughput, uptime, and cost.
• Thrives in a small, agile team; has initiative and desire for ownership without much precedent to lean on.

Responsibilities

• Execute the roadmap for the inference platform.
• Coordinate onboarding, launch readiness, and rollout for new models and capacity.
• Drive latency, throughput, uptime, and cost-efficiency.
• Run the operating model for model-release and optimization programs.
• Lead cross-functional delivery for inference-stack changes.
• Build mechanisms that make releases predictable with rituals, dashboards, and launch checklists.
• Partner with GPU capacity and compute teams to reconcile execution decisions against cost and constraints.

Skills

Technical PM

Product management

Distributed systems

ML model-serving

Cross-functional coordination

Metrics/data analysis

Job description

Perplexity is seeking a technical program manager to unite model providers, engineering, and product teams, driving our inference platform forward. You will orchestrate across partners and internal teams to keep new models and capacity moving smoothly into production, while executing the roadmap for the inference platform itself.

The ideal candidate has strong technical judgment, thrives coordinating across external partners with competing timelines, and is energized by building scalable