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Our team is responsible for the data and data infrastructure that processes billions of records daily, driving critical business insights for both internal and external customers across the organization.
Our Data team consists of highly skilled senior software and data professionals who collaborate to solve complex data challenges. We process billions of records daily from multiple sources using diverse infra and multi-stage pipelines with intricate data structures and advanced queries, and complex BI.
A bit about our infrastructure. Our main databases are Snowflake, Iceberg on AWS, and Trino. Spark on EMR processes the huge influx of data. Airflow does most of the ETL.
The data we deliver drives insights both for internal and external customers. Our internal customers use it routinely for decision-making across the organization, such enhancing our product offerings.
What Youll Do
Build, maintain, and optimize data infrastructure.
Contribute to the evolution of our AWS-based infrastructure.
Work with database technologies - Snowflake, Iceberg, Trino, Athena, and Glue.
Utilize Airflow, Spark, Kubernetes, ArgoCD and AWS.
Provide AI tools to ease data access for our customers.
Integrate external tools such as for anomaly detection or data sources ingestion.
Use AI to accelerate your development.
Assures the quality of the infra by employed QA automation methods.

Join our R&D team as a Senior DevOps Engineer. Define and create operations tools and processes for a massively scalable system, backing 10,000s of the worlds busiest websites and apps, which will hopefully grow to become the media backbone for the whole Internet.
We offer a fun and supportive environment in which you will constantly learn and evolve, and where your ideas will be embraced and pursued.
Responsibilities:
Manage live production environments
Handle ongoing monitoring and troubleshoot failures
Provide architectural solutions for complex data and processing requirements involving large-scale systems and rapid growth
Manage live environment from server infrastructure all the way to applicative image management layers
Implement system monitoring procedures
Design & implement our systems network topology
Design, implement & develop various solutions according to R&D/Production needs
Work closely with R&D teams to enable delivering features to production
Be part of a 24/7 production support on-call rotation.

We are seeking a highly analytical and commercially minded pricing expert to join our pricing and monetisation strategy. This role sits at the intersection of product, and revenue, with a strong focus on usage-based pricing models that scale with customer value and business growth.
You will be responsible for designing, modelling, and optimising pricing structures that drive acquisition, retention, and long-term revenue, while partnering closely with cross-functional teams to ensure pricing decisions are grounded in data, competitive insight, and customer impact.
Responsibilities:
Pricing, Packaging, and Monetization: Optimize pricing, packaging, bundling, and monetization strategies to drive customer acquisition and retention, with a particular emphasis on usage-based models.
Revenue Optimization: Continuously monitor pricing performance, revenue metrics, and market trends to identify areas for revenue optimization and cost efficiencies.
Pricing Modeling & Simulation: Build, maintain, and refine complex financial models to simulate the impact of various pricing structures, with a specific focus on usage-based pricing models and their effect on revenue and margin.
Data-Driven Insights: Utilize data analytics and customer insights to make informed pricing decisions, uncover upsell opportunities, and identify areas for pricing improvement.
Advanced Data Analysis: Utilize advanced statistical techniques and data analytics to uncover trends in customer usage, spending patterns, and churn risks to support pricing decisions.
Data Integrity & Tooling: Maintain pricing databases and ensure data integrity across systems, serving as the technical subject matter expert for pricing tools and implementation.
Market & Competitive Intelligence: Conduct market analysis and competitive benchmarking to ensure pricing competitiveness, translating raw market data into actionable comparisons.
Compliance and Pricing Governance: Ensure pricing practices comply with internal governance rules
Cross-Functional Collaboration: Work closely with cross-functional teams, including Sales, Marketing, Product, Finance, and Customer Success, to align pricing strategies with overall business goals
Pricing Education & Communication: Educate internal teams on pricing models and develop clear, concise strategies to communicate pricing changes to customers and internal stakeholders.

As the Senior Team Leader of the Accounts Team, you will lead the nerve center of our companys R&D. This team provides the essential platformic services - User Management, Authentication (SSO, SAML, OAuth), Authorization, and Notifications - that allow our product teams to focus on delivering world-class value to end-users.
You will be the guardian of our platform services, transitioning our stack from Ruby to Go, while leading a talented cross-functional team toward a culture of high performance, technical excellence, and massive impact.
What Youll Do
The Power Couple Partnership: Partner closely with a dedicated Product Manager to own the What and the How. Together, you are fully accountable for the teams roadmap, execution, and long-term vision.
Elevate the Standard: Inherit an existing team and build it into a high-performing engine. You will set the bar for what good looks like, coaching engineers, and make sure the team is pushing its limits.
Architectural Oversight: Guide the team through a critical technical area together with our architect. While you wont be coding daily, you will be in the weeds with your developers, challenging their designs, reviewing code, and ensuring the system is robust and secure.
R&D Influencer: Act as a leading voice beyond your team. You will collaborate with the Group Architect and peer TLs to ensure the Accounts platform scales with the companys vision, often serving as a consultant for other teams integration needs.
The Art of No: Manage a high volume of requests from across the organization (DevOps, CS, Product). You will use your exceptional communication skills to prioritize ruthlessly, managing expectations while maintaining strong relationships.

The Accounts team owns some of the most critical infrastructure at the core of our companys platform.
We are responsible for managing the main product Entities across all our company products.
Our work ensures secure and scalable access control, supports complex enterprise use cases, and powers internal systems relied upon by every team in the company. We collaborate closely with cross-functional teams including Product, platform, and Security to deliver reliable and high-impact solutions.
If youre passionate about building foundational backend systems that scale globally and support great challenges - this is the team to join!
As Part Of Your Role, You Will:
Contribute to architecting and strategy, design and develop highly-available management systems, with scalable distributed system considerations and APIs
Lead solutions for business application platform layer while keeping in mind robustness, security, and monitoring
Aim to be a focal point for company-wide source of knowledge
Lead by example, mentor peers, and ensure high standards of code quality
You will work with product managers and business partners to frame problems within the business and product context.

We are building a new Visual Moderation product inside our company. The team is small, fast, and operates in a startup-style independent environment while owning the full lifecycle from product definitions to operations, with meaningful impact, strong ownership, and the backing of a stable company with a fantastic people culture.
What You Will Do
Own and evolve the backend for a high throughput moderation platform
Design async pipelines and workflow systems
Handle large media volumes and multi tenant workloads
Run AI and ML inference pipelines at scale with a focus on cost and reliability
Ship iteratively while keeping long term quality in mind
Operate with high standards in testing, reliability, and observability.

We are seeking an experienced Staff Backend Engineer to lead the engineering efforts behind our homegrown platform for serving and operating production-grade AI models and AI based algorithms.
This is a mission-critical role for someone passionate about building highly-scalable, GPU-aware, cloud-native systems that act as the connective tissue between algorithm research and product innovation. You will play a pivotal part in re-designing and evolving the platform, while supporting both research and application teams across the organization, and contributing to MLOps initiatives.
Key Responsibilities
Platform Ownership
Own the architecture, stability, scalability, and performance of the system.
Design and implement platform features that support both synchronous low-latency and asynchronous compute-heavy algorithm execution.
Enhance GPU management, scheduling, and resource allocation for optimal performance and cost-efficiency.
Ensure robust Kubernetes-based deployment and observability for a highly dynamic system.
Cross-Team Collaboration
Act as the technical bridge between Research and Application teams by translating requirements into scalable system designs.
Collaborate closely with algorithm developers to streamline model deployment processes.
Partner with backend engineers (primarily working in Ruby and Go) to integrate the research group algorithms into our company services.
Engineering Excellence
Advocate for high standards in code quality, observability, testing, and security.
Guide engineering integration efforts when consuming the different platform APIs.
Provide mentorship, support, and best practices to other engineers interacting with the platform.
Take part in general R&D efforts, supporting a broader production environment.
Platform Extension and MLOps
Contribute to the evolution of our platform to support a wider range of algorithmic workloads and model types.
Help shape tooling and infrastructure for model versioning, rollout, monitoring, and testing.
Collaborate with DevOps and Infrastructure teams to maintain operational excellence, system observability, and robust infrastructure support

We are looking for a Staff Backend Engineer who is passionate about building platforms at scale, loves challenging engineering problems, and enjoys empowering other engineers to move faster with confidence.
As a member of our companys Backend Platform Team, you will own and evolve the backend platform: core shared services (for example, service mesh, shared locking, multi-tenant fairness and rate-limiting), the tooling and processes behind our Software Development Lifecycle (CI/CD pipelines, development environments, release workflows), and AI-powered operational tooling for production visibility and incident response. Youll work closely with DevOps, Architecture and Product engineering teams to turn these needs into reliable, scalable, and reusable platform capabilities.
Responsibilities
Design, build, and own core platform services that support our companys backend services at scale (e.g., service mesh, shared locking, fairness and rate-limiting, and other shared infrastructure components).
Lead end-to-end engineering initiatives - from discovery and architecture, through implementation and rollout, to observability and ongoing operations.
Improve developer experience and productivity, evolving development environments, Blueprint projects, and frameworks that streamline service creation (e.g., Go services, AWS Lambda).
Drive the evolution of our AI-powered operational tooling and agents, helping design, build, and maintain systems that analyze, evaluate, and assist in resolving production and on-call issues.
Advance deployment and operational excellence, driving improvements in reliability, performance, and safety of our deployment and release lifecycle.
Provide technical leadership and mentorship, influencing platform strategy and engineering best practices across teams and partnering closely with DevOps and product engineering.

our company's Pricing Leader role offers a unique opportunity to lead strategic pricing at a product-led, multi-product SaaS company with both PLG (product-led growth) and Enterprise sales motions. As we expand our product offering and customer segments, we are focused on simplifying pricing and driving impactful changes that enhance customer value and positively influence revenue.
Pricing at our company is both critical and complex. With multiple products, go-to-market motions, and legacy models accumulated over 13 years, the pricing function is now under Product leadership with strong executive focus and support. Youll be expected to lead with clarity, bring sharp decision-making, and drive measurable business impact while working closely with key stakeholders across the companys leadership team.
Responsibilities:
Own the global pricing and packaging strategy across all products, customer segments, partners, and strategic partnerships.
Lead and manage a pricing team to execute pricing initiatives and maintain operational excellence.
Lead pricing simplification initiatives and identify high-impact changes that improve clarity, revenue, and customer experience.
Continuously monitor pricing effectiveness based on sales performance, customer adoption, competitive landscape, and product evolution.
Partner with Product, Sales, and GTM leadership to develop pricing for new offerings and evolve existing ones.
Ensure all pricing decisions are data-informed and aligned with company goals - leveraging competitive intelligence, market trends, and customer feedback.
Drive consistent pricing execution across new and renewal business, from self-service to enterprise.
Define and enforce pricing governance frameworks.
Help evolve our monetization systems and tooling to support pricing automation and reduce friction.
Develop and deliver sales enablement, training, and best practices to improve pricing execution.
Champion a pricing model that is both strategic and executable, avoiding complexity that does not deliver measurable value.