Improving Distributed Caching Performance and Efficiency at Pinterest

853
Pinterest
Pinterest's profile on StackShare is not actively maintained, so the information here may be out of date.

Kevin Lin | Software Engineer, Storage and Caching


Introduction

Pinterest’s distributed caching system, built on top of open source technologies memcached and mcrouter, is a critical component of the production infrastructure stack. Pinterest’s cache-as-a-service platform is responsible for driving down application latency across the board, reducing the overall cloud cost footprint, and ensuring adherence to strict sitewide availability targets.

Today, Pinterest’s memcached fleet spans over 5000 EC2 instances across a variety of instance types optimized along compute, memory, and storage dimensions. Collectively, the fleet serves up to ~180 million requests per second and ~220 GB/s of network throughput over a ~460 TB active in-memory and on-disk dataset, partitioned among ~70 distinct clusters.

As a core driver of reduced sitewide latency, the distributed caching tier is subject to stringent performance and latency requirements. Additionally, a key consequence of the sheer size of the fleet is that even small efficiency optimizations have an outsized impact on the total service cost footprint. Several years of operational experience running memcached at scale in production have provided unique insight into practical optimizations for driving improved performance and efficiency across the entire caching stack.

In this article, we will share some context on the observability and performance testing tools that enable optimization exploration work, followed by a deep dive into practical optimizations currently running in our production environment along dimensions of hardware selection strategy, compute efficiency, and networking performance.

High-level description of the available surface area for performance optimization for memcached running on virtual machines in public cloud environments

Monitoring, observability, and evaluation

All performance optimization efforts start with precise quantitative measurement and a structured, reproducible mechanism for generating workloads for isolated evaluation.

Critical monitoring prerequisites for all the performance evaluation conducted over the years include:

  • Server-side metrics for request throughput, network throughput, resource utilization, and hardware-level parameters (NIC statistics like per-queue packet throughput and EC2 allowance exhaustion, disk response times and in-flight I/O requests, etc.)
  • Client-side metrics for cache request percentile latency, timeout and error rates, and per-server availability (SLIs), as well as top-level application performance indicators like service RPC P99 response time

Pinterest leverages both synthetic load generation and production shadow traffic to evaluate the impact of tuning and optimizations. Historically, synthetic benchmarking has been useful for detecting performance regressions or improvements under maximum load, while shadow traffic evaluation has been more reflective of server resource utilization and overall performance under a real workload at scale.

  • Synthetic load generation: memtier_benchmark is an open source tool capable of generating a synthetic load against a memcached cluster with configurable parameters for the number of concurrent clients and threads, read/write ratio, data sizes, and transport mechanism (plaintext or TLS).
  • Production shadow traffic: mcrouter is an open source memcache-protocol routing proxy deployed as a client-side sidecar in the Pinterest fleet. It provides building blocks to design transparent shadow traffic routing policies with configurable traffic percentages and source/target cluster(s), allowing for flexible dark traffic experimentation across a variety of workload classes.

Together, these tools permit high-signal performance evaluation with zero or minimal impact to critical-path production traffic.

Performance and efficiency

Cloud hardware

Distributed caching at Pinterest serves a diverse array of workloads. In general, each class of workload can be categorized along the following high-level dimensions:

  • Throughput (compute)
  • Data volume (memory and/or disk capacity)
  • Data bandwidth (network and compute)
  • Latency requirement (compute)

While memcached can be arbitrarily horizontally scaled in and out to address a particular cluster’s bottleneck, vertically scaling individual hardware dimensions allows for greater cost efficiency for specific workloads. In practice, this entails standardization on a fixed pool of EC2 instance types optimized for each workload class.

Workload profile: Moderate throughput, moderate data volume

EC2 instance family: r5

Rationale: r5 family instances offer a vCPU-DRAM ratio that works well for most vanilla cache use cases at Pinterest. This instance type is considered the “baseline” against which others are evaluated.

Workload profile: High throughput, low data volume

EC2 instance family: c5

Rationale: c5 family instances are more cost efficient for use cases that would otherwise slot into the r5 type but hold significantly less memory. Maintaining the same vCPU count as its r5 counterpart allows it to serve the same throughput volume at a lower overall cost.

Workload profile: High data volume, relaxed latency requirement

EC2 instance family: r5d

Rationale: r5d family instances are functionally equivalent to r5 family instances but with an instance-colocated NVMe SSD used by extstore for secondary storage. r5d is cost efficient for clusters with high data volume such that there are tangible improvements to hit rate as data is written to disk. Due to the slower disk (relative to i3 family instances), higher tail latency is expected.

Workload profile: Massive data volume, relaxed latency requirement

EC2 instance family: i3 and i3en

Rationale: i3 and i3en family instances ship with a fast and sizable instance-colocated disk, which tangibly increases extstore performance for workloads with a very high ratio of working data on disk relative to DRAM. Additionally, they offer comparable memory capacity to r5 series instances, which reduces extstore thrashing by maintaining a reasonable DRAM to disk usage ratio.

EC2 instance type distribution for the Pinterest memcached fleet

In particular, using extstore to expand storage capacity beyond DRAM into a local NVMe flash disk tier increases per-instance storage efficiency by up to several orders of magnitude, and it reduces the associated cluster cost footprint proportionally. EC2’s storage-optimized instance types provide locally attached solid state drives capable of high random IOPS and R/W throughput, allowing onboarding of extstore use cases with massive data volumes and high request throughput without compromising tail latency.

The introduction of different shapes of storage-optimized EC2 instance types to the fleet (in particular, the lower-tier variants of the i3en instance family containing multiple independent disks per instance) further drives down costs while offering improvements in I/O performance and cost efficiency. Pinterest configures these instances with Linux software RAID at level RAID0 to combine multiple hardware block devices into a single, logical disk for userspace consumption. By striping reads and writes fairly across two disks, RAID0 doubles maximum theoretical I/O throughput with a best-case two-fold reduction in effective disk response time at the cost of a doubled MTTF. This increased hardware performance for extstore at the expense of an increased theoretical failure rate is a highly worthwhile tradeoff. Operating workloads on a public cloud necessitates designing infrastructure to be ephemeral cattle, capable of self-healing in the event of instance failures. A topology control plane for mcrouter automatically and gracefully responds to unexpected changes in server capacity; instance loss is a non-issue.

Compute

Approximately half of all caching workloads at Pinterest are compute-bound (i.e. purely request throughput-bound). Successful optimizations in compute efficiency translate into the ability to downsize clusters without compromising serving capacity.

More precisely, compute efficiency for memcached is defined as the additional rate of requests that can be serviced by a single instance for each percentage point increase in instance CPU usage, without increasing request latency. In simpler terms, an optimization that improves compute efficiency is one that allows memcached to serve a higher request rate at lower CPU usage, without changing request latency characteristics.

At Pinterest, most workloads (including the distributed cache fleet) run on dedicated EC2 virtual machines. Many historical efficiency improvements stem from optimizations in the hardware layer itself, like migrating to different instance families or upgrading to newer generations of existing instance types. However, operating workloads on dedicated (virtualized) machines offers unique opportunities for optimizations at the hardware-software boundary.

Memcached is somewhat unique among stateful data systems at Pinterest in that it is the exclusive primary workload, with a static set of long-lived worker threads, on every EC2 instance on which it is deployed. This is in contrast to database workloads which might have, for example, multiple colocated processes for decoupled storage and serving layers. To this end, one simple but highly effective optimization is tuning process scheduling in order to request the kernel prioritize CPU time for memcached at the expense of deliberately withholding CPU time from other processes on the host, like monitoring daemons. This involves running memcached under a real-time scheduling policy, SCHED_FIFO, with a high priority — instructing the kernel to, effectively, allow memcached to monopolize the CPU by preempting (and thus deliberately starving) all non-realtime processes whenever a memcached thread becomes runnable.

$ sudo chrt — — fifo <priority> memcached …

Example invocation of memcached under a SCHED_FIFO real-time scheduling policy

This one-line change, after rollout to all compute-bound clusters, drove client-side P99 latency down by anywhere between 10% and 40%, in addition to eliminating spurious spikes in P99 and P999 latency across the board. Additionally, it afforded the ability to raise the steady-state operation CPU usage ceiling by 20% without introducing latency regressions. Ultimately, this shaved close to 10% off memcached’s total fleet-wide cost footprint.

Week-over-week comparison of client-side P99 cache latency for one service while real-time scheduling was rolled out to its corresponding dedicated memcached cluster

Ratio of time spent by memcached waiting for execution by the kernel versus wall clock time, before and after real-time scheduling was enabled (data is collected from schedstat in the /proc filesystem)

Stabilization of spurious latency spikes after real-time scheduling was enabled on a canary host (red-colored series)

Networking

There are a few key dimensions when considering networking performance:

  • Data bandwidth, packet throughput, and TCP connection limits. EC2 imposes hard limits on per-instance PPS, aggregate bandwidth, and TCP connections (though only when deployed in a security group with TCP ingress rules). Excess usage beyond these limits is reported by the Elastic Network Adapter (ENA) driver and accessible via ethtool. Confusingly, EC2 also expresses total NIC bandwidth capabilities in terms of burst loads rather than steady-state loads, thus requiring some degree of trial-and-error to determine the practical bandwidth ceiling for workloads like memcached with predictable network characteristics.
  • Connection latency and reliability. Is there a way to make initial TCP connections to memcached faster and more reliable, especially under burst scenarios where thousands of clients are simultaneously establishing connections?
  • Overhead associated with transport-layer features like TLS. Is there a way to reduce the encryption/decryption compute overhead of TLS? Additionally, is there a way to reduce the cost of the initial setup cost (i.e. TLS handshake)?

From a cloud consumer’s perspective, EC2-enforced network limits can and should effectively be considered inherent hardware limitations. Unfortunately, there is no mechanism to work around these limits other than horizontally scaling the fleet to reduce per-instance usage.

In Pinterest’s caching architecture, mcrouter is a universal routing proxy and the single application-facing entry point into the distributed caching tier. Each mcrouter instance (effectively, every individual host in a service cluster) creates a statically sized, long-lived TCP connection pool to every individual memcached server in a cluster. Connection pool sizes are deterministically derived from the number of logical cores available on the host system, typically ranging from 8 to 72 for canonical instance types. This results in upwards of tens of thousands of active established TCP connections per server host, and easily over a million total connections per server cluster — necessitating a strategy for maintaining minimal connection latency and connection reliability at scale.

TCP Fast Open (TFO) is a mechanism for reducing the latency overhead of establishing a TCP connection by optimizing away one RTT in an otherwise costly TCP 3WHS (3-way handshake), while also allowing eager transmission of early data during the handshake itself. While originally intended for end users on unreliable home and mobile networks connecting to remote edge servers, TFO has demonstrated tangible improvements in connection reliability in a closed cloud environment as well. Implementing TFO support in memcached reduced average TCP connection durations of successive sessions by ~10%, most prominently in connections established across an Availability Zone boundary.

Packets exchanged between client and server during TFO cookie setup and a subsequent TFO-initiated session with early data

Separately, raising the sysctl parameter value for net.core.somaxconn and associated listen backlog size in the userspace listen(2) callsite in memcached improved burst connection availability for high-throughput clusters. Previously, deploying a new memcached binary would cause spikes in ECONNREFUSED server errors caused by exhausted server-side TCP accept queues driven by thundering herds of simultaneous inbound connections from thousands of client mcrouter instances. A more generous listen backlog threshold reduced per-server downtime and fixed the brief but frequent SLO violations whenever a shared tenancy cluster was deployed.

Lastly, TLS plays an important role for in-transit data encryption between memcached and mcrouter, and it is enabled for 100% of cache traffic within Pinterest in order to comply with sitewide authentication, authorization, and auditing policies. Even with hardware-accelerated cryptography, TLS adds non-trivial initial and steady-state overhead, due to a post-connect TLS handshake and application-layer encryption/decryption during network I/O, respectively. TLS session resumption, after implementation in memcached, reduced fleet-wide client-side connection timeout rates by allowing reuse of previously cached TLS sessions. One avenue for tackling steady-state overhead is kernel TLS (kTLS) — a mechanism to offload the TLS record layer from userspace to the kernel, implemented either in software or offloaded to supported dedicated NIC hardware for completely transparent inline data encryption/decryption. TLS session resumption was upstreamed by Pinterest to memcached and is available in version 1.6.3 onward; kTLS is an ongoing and relatively experimental optimization area.

Future work

Infrastructure optimization is a critical objective for Pinterest that ultimately drives a more delightful experience for Pinners while reducing our own cloud cost footprint. We look forward to continuing to explore avenues for improving cache performance and efficiency at all layers of the stack, from application clients and routing proxies to the servers themselves. In the near term, we intend to continue evaluation of software kernel TLS, explore compatibility of memcached with newer generations of EC2 instance types for improved price-to-performance characteristics, and application/proxy-side software optimizations like in-flight compression for improved storage efficiency. We hope to additionally build an end-to-end automated performance regression testing framework to track the impact of these optimizations over time.

Thanks to the entire Storage and Caching team at Pinterest for supporting this work, especially Ankita Girish Wagh and Lianghong Xu.

Pinterest
Pinterest's profile on StackShare is not actively maintained, so the information here may be out of date.
Tools mentioned in article
Open jobs at Pinterest
Backend Engineer, Core & Monetization
San Francisco, CA, US; , CA, US
<div class="content-intro"><p><strong>About Pinterest</strong><span style="font-weight: 400;">:&nbsp;&nbsp;</span></p> <p>Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love.&nbsp;In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping&nbsp;Pinners&nbsp;make their lives better in the positive corner of the internet.</p> <p><em>Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our </em><a href="https://www.pinterestcareers.com/pinflex/" target="_blank"><em><u>PinFlex</u></em></a><em> landing page to learn more.&nbsp;</em></p></div><p><span style="font-weight: 400;">We are looking for inquisitive, well-rounded Backend engineers to join our Core and Monetization engineering teams. Working closely with product managers, designers, and backend engineers, you’ll play an important role in enabling the newest technologies and experiences. You will build robust frameworks &amp; features. You will empower both developers and Pinners alike. You’ll have the opportunity to find creative solutions to thought-provoking problems. Even better, because we covet the kind of courageous thinking that’s required in order for big bets and smart risks to pay off, you’ll be invited to create and drive new initiatives, seeing them from inception through to technical design, implementation, and release.</span></p> <p><strong>What you’ll do:</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Build out the backend for Pinner-facing features to power the future of inspiration on Pinterest</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that can scale to support millions of users</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Partner with design, product, and backend teams to build end-to-end functionality</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Put on your Pinner hat to suggest new product ideas and features</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Employ automated testing to build features with a high degree of technical quality, taking responsibility for the components and features you develop</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Grow as an engineer by working with world-class peers on varied and high impact projects</span></li> </ul> <p><strong>What we’re looking for:</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">2+ years of industry backend development experience, building consumer or business facing products</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Proficiency in common backend tech stacks for RESTful API, storage, caching and data processing</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience in following best practices in writing reliable and maintainable code that may be used by many other engineers</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Ability to keep up-to-date with new technologies to understand what should be incorporated</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Strong collaboration and communication skills</span></li> </ul> <p><strong>Backend Core Engineering teams:</strong></p> <ul> <li><span style="font-weight: 400;">Community Engagement</span></li> <li><span style="font-weight: 400;">Content Acquisition &amp; Media Platform</span></li> <li><span style="font-weight: 400;">Core Product Indexing Infrastructure</span></li> <li><span style="font-weight: 400;">Shopping Catalog&nbsp;</span></li> <li><span style="font-weight: 400;">Trust &amp; Safety Platform</span></li> <li><span style="font-weight: 400;">Trust &amp; Safety Signals</span></li> <li><span style="font-weight: 400;">User Understanding</span></li> </ul> <p><strong>Backend Monetization Engineering teams:&nbsp;</strong></p> <ul> <li><span style="font-weight: 400;">Ads API Platform</span></li> <li><span style="font-weight: 400;">Ads Indexing Platform</span></li> <li><span style="font-weight: 400;">Ads Reporting Infrastructure</span></li> <li><span style="font-weight: 400;">Ads Retrieval Infra</span></li> <li><span style="font-weight: 400;">Ads Serving and ML Infra</span></li> <li><span style="font-weight: 400;">Measurement Ingestion</span></li> <li><span style="font-weight: 400;">Merchant Infra&nbsp;</span></li> </ul> <p>&nbsp;</p> <p><span style="font-weight: 400;">At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. This position will pay a base salary of $145,700 to $258,700. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.</span></p> <p><span style="font-weight: 400;">Information regarding the culture at Pinterest and benefits available for this position can be found at <a href="https://www.pinterestcareers.com/pinterest-life/">https://www.pinterestcareers.com/pinterest-life/</a>.</span></p> <p><span style="font-weight: 400;">This position is not eligible for relocation assistance.</span></p> <p>#LI-CL5&nbsp;</p> <p>#LI-REMOTE</p> <p>&nbsp;</p><div class="content-conclusion"><p><strong>Our Commitment to Diversity:</strong></p> <p>At Pinterest, our mission is to bring everyone the inspiration to create a life they love—and that includes our employees. We’re taking on the most exciting challenges of our working lives, and we succeed with a team that represents an inclusive and diverse set of identities and backgrounds.</p></div>
Engineering Manager, Advertiser Autom...
San Francisco, CA, US; , CA, US
<div class="content-intro"><p><strong>About Pinterest</strong><span style="font-weight: 400;">:&nbsp;&nbsp;</span></p> <p>Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love.&nbsp;In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping&nbsp;Pinners&nbsp;make their lives better in the positive corner of the internet.</p> <p><em>Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our </em><a href="https://www.pinterestcareers.com/pinflex/" target="_blank"><em><u>PinFlex</u></em></a><em> landing page to learn more.&nbsp;</em></p></div><p><span style="font-weight: 400;">As the Engineering Manager of the Advertiser Automation team, you’ll be leading a large team that’s responsible for key systems that are instrumental to the performance of ad campaigns, tying machine learning models and other automation techniques to campaign creation and management. The ideal candidate should have experience leading teams that work across the web technology stack, be driven about partnering with Product and other cross-functional leaders to create a compelling vision and roadmap for the team, and be passionate about helping each member of their team grow.</span></p> <p><strong>What you’ll do:</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Managing a team of full-stack engineers</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Work closely with Product and Design on planning roadmap, setting technical direction and delivering value</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Coordinate closely with XFN partners on multiple partner teams that the team interfaces with</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Lead a team that’s responsible for key systems that utilize machine learning models to help advertisers create more performant campaigns on Pinterest</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Partner with Product Management to provide a compelling vision and roadmap for the team.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Work with PM and tech leads to estimate scope of work, define release schedules, and track progress.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Mentor and develop engineers at various levels of seniority.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Keep the team accountable for hitting business goals and driving meaningful impact</span></li> </ul> <p><strong>What we’re looking for:</strong></p> <ul> <li style="font-weight: 400;"><em><span style="font-weight: 400;">Our PinFlex future of work philosophy requires this role to visit a Pinterest office for collaboration approximately 1x per quarter. For employees not located within a commutable distance from this in-office touchpoint, Pinterest will cover T&amp;E. Learn more about PinFlex <a href="https://www.pinterestcareers.com/pinflex/" target="_blank">here</a>.</span></em></li> <li style="font-weight: 400;"><span style="font-weight: 400;">1+ years of experience as an engineering manager (perf cycles, managing up/out, 10 ppl)</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">5+ years of software engineering experience as a hands on engineer</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience leading a team of engineers through a significant feature or product launch in collaboration with Product and Design</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Track record of developing high quality software in an automated build and deployment environment</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience working with both frontend and backend technologies</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Well versed in agile development methodologies</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Ability to operate in a fast changing environment / comfortable with ambiguity</span></li> </ul> <p>&nbsp;</p> <p><span style="font-weight: 400;">At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. This position will pay a base salary of $172,500 to $258,700. The position is also eligible for equity and incentive compensation. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.</span></p> <p><span style="font-weight: 400;">Information regarding the culture at Pinterest and benefits available for this position can be found at </span><a href="https://www.pinterestcareers.com/pinterest-life/"><span style="font-weight: 400;">https://www.pinterestcareers.com/pinterest-life/</span></a><span style="font-weight: 400;">.</span></p> <p>#LI-REMOTE</p> <p>#LI-NB1</p><div class="content-conclusion"><p><strong>Our Commitment to Diversity:</strong></p> <p>At Pinterest, our mission is to bring everyone the inspiration to create a life they love—and that includes our employees. We’re taking on the most exciting challenges of our working lives, and we succeed with a team that represents an inclusive and diverse set of identities and backgrounds.</p></div>
Engineering Manager, Conversion Data
Seattle, WA, US; , WA, US
<div class="content-intro"><p><strong>About Pinterest</strong><span style="font-weight: 400;">:&nbsp;&nbsp;</span></p> <p>Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love.&nbsp;In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping&nbsp;Pinners&nbsp;make their lives better in the positive corner of the internet.</p> <p><em>Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our </em><a href="https://www.pinterestcareers.com/pinflex/" target="_blank"><em><u>PinFlex</u></em></a><em> landing page to learn more.&nbsp;</em></p></div><p><span style="font-weight: 400;">Pinterest is one of the fastest growing online advertising platforms, and our continued success depends on our ability to enable advertisers to understand the value and return on their advertising investments. Conversion Data, a team within the Measurement org, is a Seattle engineering product team. </span><span style="font-weight: 400;">The Conversion Data team is functioning as custodian of conversion data inside Pinterest. We build tools to make conversion data accessible and usable for consumers with valid business justifications. We are aiming to have conversion data consumed in a privacy-safe and secured way. By providing toolings and support, we reduce friction for consumers to stay compliant with upcoming privacy headwinds.&nbsp;</span></p> <p><strong>What you’ll do</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Manager for the Conversion Data team (5 FTE ICs and 3 contractors) which sits within the Measurement Data Foundations organization in Seattle.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Help to reinvent how conversion data can be utilized for downstream teams in the world while maintaining a high bar for Pinner privacy.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Work closely with cross functional partners in Seattle as measurement is a cross-company cutting initiative.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Drive both short term execution and long term engineering strategy for Pinterest’s conversion data products.</span></li> </ul> <p><strong>What we’re looking for:</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience managing product development teams, including working closely with PM and Product Design to identify, shape and grow successful products</span></li> <li style="font-weight: 400;">The ideal candidate will have experience with processing high volumes of data at a scale.</li> <li style="font-weight: 400;">Grit, desire to work in a team, for the betterment of all - correlates to the Pinterest value of “acts like an owner”</li> <li style="font-weight: 400;">2+ years EM experience</li> </ul> <p><span style="font-weight: 400;">At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. This position will pay a base salary of $172,500 to $258,700. The position is also eligible for equity and incentive compensation. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.</span></p> <p><span style="font-weight: 400;">Information regarding the culture at Pinterest and benefits available for this position can be found at </span><a href="https://www.pinterestcareers.com/pinterest-life/"><span style="font-weight: 400;">https://www.pinterestcareers.com/pinterest-life/</span></a><span style="font-weight: 400;">.</span></p> <p>#LI-REMOTE</p> <p>#LI-NB1</p><div class="content-conclusion"><p><strong>Our Commitment to Diversity:</strong></p> <p>At Pinterest, our mission is to bring everyone the inspiration to create a life they love—and that includes our employees. We’re taking on the most exciting challenges of our working lives, and we succeed with a team that represents an inclusive and diverse set of identities and backgrounds.</p></div>
UX Engineer
Warsaw, POL
<div class="content-intro"><p><strong>About Pinterest</strong><span style="font-weight: 400;">:&nbsp;&nbsp;</span></p> <p>Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love.&nbsp;In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping&nbsp;Pinners&nbsp;make their lives better in the positive corner of the internet.</p> <p><em>Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our </em><a href="https://www.pinterestcareers.com/pinflex/" target="_blank"><em><u>PinFlex</u></em></a><em> landing page to learn more.&nbsp;</em></p></div><p><strong>What you’ll do:</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Work directly with the Motion design team in Warsaw to help bring their dynamic work to life.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Partner with the Design system team to align motion guidelines and build out a motion library.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Help build UI components, guidelines and interactions for the open source design system.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Partner with other teams across the Pinterest product to implement motion assets and promo pages within Pinterest.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Scope and prioritize your work; serve as the technical subject matter expert to build an end to end service culture for the motion team; building its independence and raising its visibility.&nbsp;</span></li> </ul> <p><strong>What we’re looking for:</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">3+ years of experience building on the web platform.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Strong background in current web app development practices as well as a strong familiarity with Lottie, Javascript, Typescript and Webpack.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Solid experience with HTML and CSS fundamentals, and CSS Animation.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience with React.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Familiarity with accessibility best practices; ideally in the context of motion and animation.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Background and familiarity with modern design processes and tools like Figma and/or Adobe After Effects; working with designers and product managers.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Curiosity, strong communication and collaboration skills, self-awareness, humility, a drive for personal growth, and knowledge sharing.</span></li> </ul> <p><span style="font-weight: 400;">#LI-HYBRID</span></p> <p><span style="font-weight: 400;">#LI-DL2</span></p> <p>&nbsp;</p><div class="content-conclusion"><p><strong>Our Commitment to Diversity:</strong></p> <p>At Pinterest, our mission is to bring everyone the inspiration to create a life they love—and that includes our employees. We’re taking on the most exciting challenges of our working lives, and we succeed with a team that represents an inclusive and diverse set of identities and backgrounds.</p></div>
You may also like