Product Manager (Platform)

Perplexity AI; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Perplexity AI seeks a platform strategy and enablement leader to work across product, engineering, and operations. You will identify high-impact problems from data and feedback, design reusable capabilities, and guide delivery from problem definition through launch and iteration.

The role requires strong analytical skills, technical fluency, and the ability to balance long-term strategy with hands-on execution while focusing on customer outcomes and product quality.

Responsibilities

• Understand the needs of the teams that use our platforms and the customers who depend on them.
• Turn recurring needs into shared services, tools, and workflows that reduce duplicated work.
• Work directly with product, engineering, and operational teams to understand their workflows.
• Prioritize platform investments across new product enablement, reliability, and technical debt.
• Define and track success through business impact, reliability, cost to serve, and outcomes.
• Partner closely with engineering on tradeoffs and rollout plans; drive delivery from problem definition through launch.

Skills

Analytical skills

Technical fluency

Ownership

Communication

Strategy & product

Job description

• Understand the needs of the teams that use our platforms and the customers who depend on them. Use product data, operational feedback, and recurring quality issues to identify the highest-impact problems, and then solve them
• Turn recurring needs into shared services, tools, and workflows that reduce duplicated work. Exercise judgement about when to build a reusable capability, use an existing solution, or take a simpler approach
• Work directly with product, engineering, and operational teams to understand their workflows, identify recurring problems, and anticipate the capabilities they will need next
• Prioritize platform investments across new product enablement, reliability, efficiency, and technical debt. Make clear tradeoffs between near-term delivery and long-term flexibility
• Define and track success through business impact, reliability, cost to serve, and reduced manual work, connecting these measures to customer and business outcomes
• Partner closely with engineering on technical tradeoffs, build-versus-buy decisions, and rollout plans. Write clear requirements and drive delivery from problem definition through launch and iteration

Strong analytical skills. You can investigate problems independently, define meaningful metrics, and evaluate the impact of platform investmentsStrong technical fluency. You can reason about APIs, data flows, system dependencies, and failure modes, and work closely with engineers on consequential tradeoffsHigh ownership and sound judgment in a fast-moving environment. You are comfortable moving between long-term strategy and hands-on execution without adding unnecessary processA focus on customer outcomes and product quality, including when your immediate users are internal teamsStrong written and verbal communication, with the ability to align teams around priorities and make difficult decisions when their needs competeExperience owning product strategy and execution on technical products and platforms, or shared systems used by multiple teams such as billing and monetization, identity and access, developer platforms, data and experimentation, internal tooling, support, etcSome experience working on critical software: support platforms/agents, legal/compliance tooling, identity and account tooling, billing, fraud, trust-and safety, etcHigh-ownership. This person needs to feel dissatisfied by the current support flow, and hungry to do whatever it takes to clear the backlogExperience working on platforms with multiple stakeholders and non-trivial tradeoffs. This person is building products simultaneously for customers, agents, and other internal employeesStrong analytical skills and experience defining metrics in ambiguity, breaking down workflows, and using quantitative and qualitative evidence to prioritizeIs “AI-native.” Can build AI products whose outputs require evaluation, safeguards, and human-in-the-loop designSystems thinker, detail-oriented, problem solver. This person needs to have experience wrangling thorny, complex problems. We need someone that is excited about diving into messy workflows, reading through dozens of support tickets, thinking through edge cases no one’s thought of, assuming different behavior across platforms, proactively considering enterprise vs. consumer workflows, etc