Member Of Technical Staff (Tpm, Inference)
perplexity
Job Score
100 ptsPerplexity is looking for a technical program manager to be the connective tissue between our model providers, engineering, and product teams, driving our core inference platform forward.
Perplexity runs one of the highest-throughput inference stacks in the industry, serving Ask, Computer, and API traffic across a large and constantly shifting portfolio of first-party and third-party models. This role sits at the intersection of product, engineering, and finance: you'll orchestrate across model providers 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 teams and external partners with competing timelines, and is energized by building the operating model for a function that doesn't have much precedent yet.
Our Mission
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
What You'll Do
Execute the roadmap for the inference platform — request handling, rate limits and quotas, usage controls, and the reliability and observability surface engineering and product teams depend on
Be the connective tissue between model providers and Perplexity's engineering and product teams — coordinating onboarding, launch readiness, and rollout for new models and capacity
Drive latency, throughput, uptime, and cost-efficiency as core execution metrics, surfacing tradeoffs between them rather than letting them become side effects
Run the operating model for model-release and optimization programs, including day-zero launches, across performance engineering, infrastructure, and product teams
Lead cross-functional delivery for inference-stack changes, from planning through launch and post-launch validation
Build the mechanisms that make releases predictable — rituals, dashboards, launch checklists — so inference releases stay low-risk at Perplexity's scale
Partner with GPU capacity and compute teams to reconcile execution decisions against cost, capacity, and vendor constraints
Qualifications
Strong experience with technical program management or product management in infrastructure, distributed systems, or ML/model-serving products
Direct experience with production LLM or ML inference — understanding what makes serving fast, reliable, and cheap rather than just what a roadmap slide says about it
Comfort orchestrating across external partners and internal engineering teams with competing priorities and timelines
Experience with data and metrics, and the judgment to surface difficult 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
6+ years of combined technical program management or product management experience
About Project Manager
The Project Manager is the professional responsible for planning, executing, and controlling projects end-to-end, ensuring they are delivered on time, within budget, and with the expected quality. With the growing complexity of businesses, project management professionals are fundamental to organizational success.
Key skills include planning and scheduling, scope, cost, risk, quality, and resource management, stakeholder communication, cross-functional team leadership, and use of agile and traditional methodologies. Certifications like PMP, PRINCE2, and Six Sigma are important differentiators.
Project Managers in technology companies are highly valued, especially those who master agile methodologies (Scrum, Kanban), tools like Jira and MS Project, and can deliver complex projects efficiently. The field offers opportunities from project analyst to head of PMO, with a focus on execution, governance, and business value.
About Account Manager
The Account Manager is the professional responsible for managing and expanding the relationship with clients after the sale. They act as a strategic partner, ensuring satisfaction, retention, and account growth, connecting client needs with company solutions.
Key skills include relationship management, negotiation, upsell and cross-sell, contract renewal, account planning, business reviews, metrics analysis (NPS, churn, LTV), and CRM knowledge (Salesforce, HubSpot). Communication, empathy, and business vision are fundamental differentiators.
Account Managers in technology and SaaS companies are highly valued, especially those who can increase recurring revenue (MRR/ARR) through account expansion and churn prevention. The field offers opportunities from account executive to director of accounts, with a focus on strategic relationship, revenue growth, and customer success.
About Product Manager
The Product Manager (PM) is the professional responsible for defining the strategy, vision, and roadmap of a digital product. They work at the intersection of technology, business, and user experience (UX), leading the discovery and delivery of solutions that solve real problems in a viable way for the company.
Key skills include product discovery, data and metrics analysis (AARRR, NPS, LTV), user research, go-to-market strategy, roadmapping, strategic prioritization, and leadership by influence. Tools like Amplitude, Mixpanel, Hotjar, Jira, and Notion are fundamental.
Product Managers play a central role in the growth of startups, scale-ups, and large technology companies, with career progression opportunities to Product Leader, Head of Product, and Chief Product Officer (CPO).
Discover Other Areas
Understand the scope of work, key skills, and tools used in different career areas.
About Data
The Data field has undergone a radical transformation with the rise of Generative AI. Data professionals are fundamental for evidence-based decision-making across all industries.
Key specializations include Data Engineering, Data Science, Business Intelligence, Machine Learning Engineering, and Analytics. Tools like SQL, Python, Spark, dbt, and cloud platforms (AWS, GCP, Azure) are essential.
The data market continues with high demand and salaries among the most competitive in the technology sector, with many remote work opportunities.
About Design
The Design field, especially UX/UI and Product Design, has experienced significant growth in recent years. With accelerated business digitization, the demand for professionals who can create intuitive and pleasant digital experiences has never been higher.
Key skills include Figma, Sketch, Adobe XD, user research, design thinking, prototyping, and system design. Product designers are increasingly valued for their direct impact on business results.
Remote work has opened doors for Brazilian designers to work for global companies, with competitive salaries in dollars and euros.
About Finance
The Finance area in technology companies combines traditional financial knowledge with advanced digital tools. FP&A, controlling, and corporate finance professionals are essential for the organization's financial health.
Key skills include financial modeling, metrics analysis (MRR, ARR, LTV, CAC), ERP (SAP, Oracle), and BI tools. Certifications like CFA and CPA-20 are differentiators.
The financial sector offers stable opportunities with competitive salaries, especially in fintechs and large technology companies.
About Automation Engineer
The Automation Engineer is the professional responsible for designing, developing, and implementing solutions that automate manual and repetitive processes in IT, infrastructure, testing, and operations. They combine programming knowledge with DevOps and SRE vision to eliminate manual tasks and increase operational efficiency.
Key skills include Infrastructure as Code (Terraform, Ansible, Pulumi), CI/CD (Jenkins, GitHub Actions, GitLab CI), test automation (Selenium, Cypress, Playwright), network automation (Netconf, SDN), RPA (UiPath, Power Automate), and scripting (Python, Bash, PowerShell). Knowledge of Kubernetes, GitOps (ArgoCD, Flux), and automation platforms is a differentiator.
Automation Engineers in technology companies are highly valued, especially those who can create automated deployment pipelines, self-healing infrastructure, and internal developer platforms (IDP). The field offers opportunities from junior automation engineer to automation architect and head of automation.
About Cloud Solutions
The Cloud Solutions area is responsible for designing, implementing, and managing cloud infrastructure and services (AWS, Azure, GCP) for companies. Cloud professionals architect scalable, secure, and cost-optimized solutions, from data center migrations to serverless and multi-cloud architectures.
Key skills include IaC (Terraform, CloudFormation), containers (Docker, Kubernetes), serverless (Lambda, Cloud Functions), managed databases (RDS, DynamoDB, BigQuery), cloud networking (VPC, CDN, load balancer), and security (IAM, WAF, KMS). Knowledge of FinOps, cloud governance, and AWS/Azure/GCP certifications is a differentiator.
Cloud Solutions professionals in technology companies are highly valued, especially those who master multi-cloud architectures, FinOps, and can optimize costs while maintaining performance and security. The field offers opportunities from cloud engineer to cloud solutions architect, head of cloud, and chief cloud architect.
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