We're looking for an ambitious Systems / Platform Engineer to join a team at the intersection of SRE and low-latency distributed systems. This team will help power Pinterest's next generation of realtime ML and measurement infrastructure, with a focus on sub-millisecond decisioning, high-throughput data access, and tight integration with Pinterest's core tech stack.
\nIn this role, you'll think about queries and RPCs in terms of syscalls, cache lines, and wire formats, and design systems that stay fast and predictable under load. You'll help define and harden the foundation for our training and serving stack: from storage and indexing strategies, to streaming and fanout, to backpressure and failure handling across services and regions.
\nYou'll work closely with software engineering, data infra, and SRE partners to ensure our systems are observable, debuggable, and operable in production. If topics like IO scheduling and batching, lock-free or low-contention data structures, connection pooling, query planning, kernel and network tuning, on-disk layout and indexing, circuit-breaking, autoscaling, incident response, NixOS, Rust, and robust SLIs/SLOs sound interesting (even if it's just a subset), this role gives you a chance to apply that expertise to business-critical, high-leverage infrastructure at Pinterest scale.
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\nWe're looking for a Senior Backend Engineer to help design, build, and scale tvScientific's contract and billing systems that support direct advertisers, internal teams, and Finance. This role focuses on building backend services that can support a wide range of contract structures and billing models while maintaining strong guarantees around correctness, auditability, and operational reliability.
\nYou'll work on systems that must operate accurately across different commercial relationships and external partners, ensuring our contract logic remains consistent, flexible, and maintainable as the business scales. This is a high-impact backend role at the intersection of revenue, finance, and customer operations, where clear domain modeling, data integrity, and sound engineering judgment matter more than any specific implementation approach.
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\nWe're seeking a Sr. Software Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem , auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios , and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.
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\nWe're looking for a Senior MLOps Engineer to join our distributed engineering team on our Connected TV ad-buying platform. As a Senior MLOps Engineer, you will be responsible for scaling the decision-making process for tools for the tvScientific AI team, improving the developer experience for the data science team, upgrading our observability tooling, serving as a technical lead and mentor to the team, and making every deployment smooth as our infrastructure evolves.
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\nWe're seeking a Staff Data Engineer to lead the design, implementation, and evolution of our identity services and data governance platform. This role is critical to ensuring trusted, privacy-safe, and well-governed data across the organization.
\nYou will work at the intersection of data engineering, identity resolution, privacy, and platform reliability. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.
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\nWe're looking for a Sales Engineer to be the go-to technical partner for our customers. As a Sales Engineer, you'll work side-by-side with Sales and Onboarding to scope out the right solutions, showcase what our platform can do, and make sure everything runs smoothly once clients are ready to go live.
\nYour main responsibilities will include serving as the primary technical expert during the sales cycle, partnering closely with Sales to design, explain, and validate client integrations. You'll lead discovery conversations to understand client integration preferences, including client-side pixels, server-to-server postbacks, and custom reporting needs. You'll recommend measurement and attribution solutions tailored to each client's business goals and technical environment.
\nYou'll troubleshoot and resolve implementation issues related to data flow, event firing, attribution, and reporting accuracy. You'll translate complex technical concepts into clear, client-friendly explanations to build trust and drive deal confidence. You'll work cross-functionally with Product, Engineering, and Customer Success to relay client needs and integration feedback.
\nTo be successful in this role, you'll need to stay current on ad tech, programmatic advertising, privacy changes, and measurement best practices to inform solutions and recommendations. You'll document best practices, integration patterns, and technical solutions for internal teams and clients. You'll leverage AI tools to improve day-to-day efficiency across technical discovery, research, documentation, and internal knowledge sharing.
\nIn this role, you'll have the opportunity to work with a talented team of professionals who are passionate about delivering exceptional results. You'll be responsible for driving sales growth and revenue through effective technical partnerships with clients. You'll have the chance to develop your skills and expertise in a fast-paced and dynamic environment.
\nIf you're a motivated and results-driven individual who is passionate about technology and sales, we encourage you to apply for this exciting opportunity.
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