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We are looking for an experienced and hands-on Backend Engineer to be a key player in building high-scale Data Platforms and Products for our business teams.
This role involves working with large datasets and scalable systems, and developing internal tools to enable data-driven decision-making across the company.
Key Responsibilities:
Develop internal tools for various teams.
Build and maintain microservices and APIs to support diverse workflows.
Operate in a real-time, event-driven environment.
Create and manage data pipelines.
Take ownership of multiple systems and products.
Develop and deploy machine learning pipelines to production in an event-driven architecture.
Work in a multi-cloud environment (Azure/GCP/AWS).
Integrate third-party tools with our platform.
Translate business requirements into technical specifications.
Our Tech Stack:
Python, BigQuery, Redis, RabbitMQ, MySQL, Tornado, SQLAlchemy, Airflow, Airbyte, NewRelic, Elastic, Kubernetes (K8S).

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.

We are looking for an experienced Back End Tech lead, to further develop the platform. You will join one of our Fullstack teams and help the teams build a product that customers love and use on a daily basis, a product that is fun to use, fast, reliable and scalable. The product has a broad amount of features and serves more than 1.5M active users, leading to many product and engineering challenges.
A Tech Lead is a hands-on engineer who leads by example, bridges the gap between strategy and execution, and strengthens the effectiveness of their team. This role is distinct from that of a Senior Developer through a clear set of responsibilities that focus not just on individual excellence but on team-level technical leadership, decision-making, and operational maturity.
Key Responsibilities
Lead complex projects, own technical roadmap and architecture decisions
Actively contribute high-quality code to critical areas, set standards for the team
Drive tech standards, lead testing coverage, monitor KPIs, ensure excellence before shipping
Own platform stability, lead major incidents, drive root cause analysis and action items
Coach team through code reviews, technical sessions, and content; be the go-to technical expert
Lead the teams technical roadmap
Conduct technical interviews, run onboarding, represent team in cross-functional forums.

We are looking for an experienced and hands-on Backend Engineer to be a key player in building high-scale Data Platforms and Products for our business teams.
This role involves working with large datasets and scalable systems, and developing internal tools to enable data-driven decision-making across the company.
Key Responsibilities:
Develop internal tools for various teams.
Build and maintain microservices and APIs to support diverse workflows.
Operate in a real-time, event-driven environment.
Create and manage data pipelines.
Take ownership of multiple systems and products.
Develop and deploy machine learning pipelines to production in an event-driven architecture.
Work in a multi-cloud environment (Azure/GCP/AWS).
Integrate third-party tools with our platform.
Translate business requirements into technical specifications.
Our Tech Stack:
Python, BigQuery, Redis, RabbitMQ, MySQL, Tornado, SQLAlchemy, Airflow, Airbyte, NewRelic, Elastic, Kubernetes (K8S).

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

Were looking for a highly motivated AI Developer to help design, build, and deploy intelligent agentic systems across our product ecosystem. In this role, you'll work at the intersection of machine learning, backend systems, and modern frontend technologies to deliver AI-first features that feel magical to users.
This is a hands-on, cross-functional role ideal for engineers who love building full-fledged features-from data pipelines and LLM orchestration to intuitive UI experiences-with a strong product mindset.
Responsibilities:
AI Agent Design & Integration
Design and implement autonomous or semi-autonomous agents using LLMs (e.g., OpenAI, Anthropic, open-source models).
Work with prompt engineering, RAG pipelines, and tool/plugin integrations to enable agents to interact with internal and external systems.
Build scalable agent runtimes and orchestration layers (e.g., LangChain, Semantic Kernel, ReAct-based agents).
Fullstack Product Development
Own full-stack features end-to-end: from backend APIs and data models to React-based frontend interfaces.
Integrate AI/agent capabilities into customer-facing products with clean UX and measurable performance.
Collaborate closely with design, product, and data teams to bring ideas from concept to production.
Systems & Infrastructure
Build and maintain backend services and pipelines that support AI agents, including vector search, embeddings, function calling, and observability.
Optimize inference flows for performance and cost, potentially using streaming, caching, or local model inference.
Ensure systems are secure, reliable, and compliant with InfoSec standards.
Experimentation & Continuous Improvement
Rapidly prototype and iterate on new AI capabilities and user experiences.
Analyze performance and usage metrics to drive product and model improvements.
Stay up to date with the evolving AI toolchain and emerging agent architectures.

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.

We are seeking for a DevOps Engineer. As part of the team, you will take ownership of cloud-native environments, support development teams with robust and secure CI/CD processes, and help drive the implementation of Infrastructure as Code (IaC) practices. Youll work with advanced tools and technologies such as Azure DevOps AWS (including ECS), and Docker Containers, supporting mission-critical applications in a production-grade environment. A full time hybrid position?Key Responsibilities:
* Designing, building, and maintaining CI/CD pipelines using Azure DevOps
* Managing and deploying containerized applications using Docker and AWS ECS
* Implementing and maintaining Infrastructure as Code using tools like Terraform or CloudFormation
* Supporting development and QA environments in a hybrid cloud setup

As a Senior Product Analyst, you will partner closely with Product Managers, Engineering, Design, and Business stakeholders to turn data into actionable insights. Youll define success metrics, analyze product performance, and influence product strategy and prioritization across platform.
What Youll Do
Own and develop product KPIs to track usage, engagement, retention, conversion, and growth
Analyze user behavior and product performance to identify opportunities, risks, and improvement areas
Design, execute, and analyze A/B tests and experiments, from hypothesis to actionable recommendations
Partner with Product Managers to support roadmap planning and feature prioritization based on data and ROI
Perform deep-dive analyses on funnels, cohorts, and user segments
Leverage AI-powered analytics tools (e.g., Cursor, ChatGPT, AI copilots) to accelerate SQL, analysis, documentation, and insight generation
Clearly communicate insights and recommendations to product teams and senior leadership

Were looking for a Senior Product Designer to join Product Design team, working on core product areas within our platform, including the DAM. In this role, youll partner closely with a Design Lead and cross-functional teams to design clear, scalable experiences for complex, data-rich products used by technical and professional users such as developers, marketers, and content managers.
Youll own meaningful product areas end to end, from research and problem definition through high-fidelity design and implementation, while contributing both to the product experience and to Design System. This is a hands-on role for a systems-thinking designer who enjoys simplifying complex enterprise workflows into intuitive, elegant UX, leveraging modern AI tools in the design process, and helping integrate AI-powered capabilities into the product in a thoughtful, user-centered way.
What Youll do
Own the end-to-end design process for key product and DAM features, from discovery and research through final UI and implementation.
Plan and conduct user research to deeply understand user needs, pain points, and behaviors across multiple personas.
Translate complex business, technical, and data requirements into clear user flows, wireframes, prototypes, and high-fidelity designs.
Design scalable experiences for configuration-heavy, data-rich environments and complex workflows.
Collaborate closely with Product Managers, Engineers, Data teams, and other stakeholders to shape product strategy, roadmap, and specifications.
Apply, evolve, and contribute to Design System, ensuring consistency, quality, and efficiency across the product.
Drive iterative improvements based on qualitative and quantitative research insights.
Design scalable user experiences for configuration-heavy, data-rich products with complex workflows while operating within technical constraints.
Present design work clearly, articulate trade-offs, and incorporate feedback effectively.
Provide guidance and design feedback to other designers, helping foster a culture of design excellence.
Leverage AI tools throughout the design process to improve efficiency, exploration, and decision-making.
Design and integrate AI-powered capabilities into the product, ensuring they are intuitive, explainable, and deliver clear user value.
Collaborate with cross-functional teams to translate AI and data-driven capabilities into meaningful, user-centered product experiences.

We are looking for an experienced Software Architect with a strong SaaS background to lead architecture within the Assets (DAM) domain.

This role combines deep domain ownership with organization-wide architectural responsibility. You will be part of the Assets R&D group, reporting directly to the group manager, working closely with product and engineering teams, and at the same time a member of the Architecture Team, collaborating with other domain architects under the leadership of the Chief Architect.

You will define and drive the architectural vision of the Assets domain while ensuring alignment with broader system architecture, platform standards, and long-term technical strategy.

What Youll Do - Domain Architecture
Own and evolve the architectural vision and long-term roadmap for the Assets domain.
Define domain boundaries, core services, and major technical decisions.
Ensure the system supports scale, availability, multi-tenancy, security, compliance, and operational excellence.
Establish architectural standards and guardrails across teams.
Cross-Organization Leadership
Represent the Assets domain in the Architecture Team and contribute to company-wide architectural decisions.
Ensure alignment and interoperability with other domains.
Contribute to cross-cutting concerns such as reliability, security, observability, and cost efficiency.
Mentor senior engineers and elevate architectural practices within the group.
How Youll Work
Be embedded in the Assets group while aligned with the Architecture Team.
Engage early in strategic and planning discussions to shape direction.
Promote clear documentation of trade-offs and rationale.
Act as an enabler who helps teams move fast with strong architectural foundations.

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 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 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

Serve as the primary point of contact and trusted advisor for customer technical stakeholders, deeply understanding their business needs and aligning them with our solutions
Provide expert technical guidance to developers, product managers, system architects, and marketers on best practices for leveraging our Image, Video, and Asset solutions
Nurture strong customer relationships through ongoing communication, regular meetings, and proactive support to ensure satisfaction and retention
Identify and pursue expansion and upsell opportunities in collaboration with the sales team, leveraging scaled customer success motions to drive revenue growth
Drive product adoption and maximize value realization by monitoring customer usage trends and deploying proactive, automated interventions
Track customer health using analytics and segmentation, identifying risks early and executing mitigation strategies to ensure long-term success
Act as the voice of the customer internally, synthesizing insights from interactions and data to influence product development, support initiatives, and sales strategies

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.