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Were looking for a Senior Marketing Operations Manager to take ownership of our marketing infrastructure, automation, technology stack, processes, and data strategy.
Marketing Operations plays a critical role in connecting data, systems, and teams to drive scalable growth across both Sales-Led (SLG) and Product-Led (PLG) motions. This role sits at a key intersection within our Marketing organization, enabling alignment across teams, technologies, and processes.
You will be both a hands-on builder and a strategic partner, working closely with Lifecycle Growth, Product Marketing, Demand Generation, BI, MIS and GTM teams to design and scale high-impact marketing workflows.
Youll play a central role in transforming how we operate, bringing a modern, AI-first approach to marketing operations, simplifying complex legacy processes, and driving measurable business impact.
Key Responsibilities:
Own and optimize marketing automation platforms, building scalable multi-channel campaigns, lifecycle journeys, and nurture programs
Lead advanced audience segmentation and ensure seamless lead flow across SLG and PLG funnels
Design and implement scalable marketing processes, including campaign execution, lead management, and data governance
Set up and maintain lead capture integrations while operating data enrichment strategies using internal and external sources, ensuring accurate data flow and improving segmentation, targeting, and personalization
Own data governance across marketing systems and CRM, ensuring high standards of accuracy, consistency, and scalable data structures across multiple objects
Collaborate cross-functionally to translate business needs into operational solutions and drive alignment on GTM and KPIs
Analyze campaign and funnel performance, delivering actionable insights and defining measurement frameworks with BI and Analytics teams
Drive AI innovation, including redesigning workflows and implementing AI-driven solutions

We are looking for a Product Manager to join our Gen AI Intelligence team, owning the end-to-end data platform that powers our next-generation products.
As a Product Manager for our GenAI team*, you will own the data backbone of Gen AI Intelligence. You'll need to be sharp on how to combine, utilize, and analyze diverse data sources** to answer the questions our customers need answered.
You'll work at the intersection of our Data Science team, Data Engineering team, and Platform team-turning raw data assets into user-facing products. But building the right products requires understanding the domain: you'll dig into SEO/GEO workflows, spend time with customers and design partners, and learn how marketing teams actually operate. The goal is to let user context drive your data decisions.

We are looking for a first Senior Data Product Manager to join our Retail Intelligence team, reporting to the head of product.
Why is this role so important?
We're looking for a Senior Data Product Manager to drive the strategy, architecture, and execution of the data that power the Retail Intelligence products suite, eCommerce analytics product.
This role sits at the intersection of data infrastructure and customer value - you'll own the datasets, pipelines, and methodologies that help leading brands and retailers make confident decisions about their commerce assets.
What youll experience on this team?
Work with top talent across data, engineering and product teams.
Ship AI-powered capabilities iteratively, improving with every release.
Work with latest technology in an ever-evolving work environment
Operate with a startup mindset: move fast, think big, and build long-term value for customers.
Have direct impact on how customers make business decisions
What youll do as a Senior Data Product Manager?
Own the vision, roadmap, and delivery of the datasets that underpin Retail Intelligence, from eCommerce traffic and conversion data to product-level insights and category benchmarks.
Lead AI integration into internal processes and core features that speed customer decisions.
Define and track data quality metrics (completeness, coverage, freshness, accuracy) and establish validation, logging, and governance frameworks.
Lead modularization of data structures to enable scalability, and continuous improvement.
Stay close to customers and the market through ongoing research and interviews.
Partner with engineering, data science, design, sales, and marketing to deliver and drive adoption.

We are looking for a first Senior Data Product Manager to join our Retail Intelligence team, reporting to the head of product.
Why is this role so important?
We're looking for a Senior Data Product Manager to drive the strategy, architecture, and execution of the data that power the Retail Intelligence products suite, eCommerce analytics product.
This role sits at the intersection of data infrastructure and customer value - you'll own the datasets, pipelines, and methodologies that help leading brands and retailers make confident decisions about their commerce assets.
What youll experience on this team?
Work with top talent across data, engineering and product teams.
Ship AI-powered capabilities iteratively, improving with every release.
Work with latest technology in an ever-evolving work environment
Operate with a startup mindset: move fast, think big, and build long-term value for customers.
Have direct impact on how customers make business decisions
What youll do as a Senior Data Product Manager?
Own the vision, roadmap, and delivery of the datasets that underpin Retail Intelligence, from eCommerce traffic and conversion data to product-level insights and category benchmarks.
Lead AI integration into internal processes and core features that speed customer decisions.
Define and track data quality metrics (completeness, coverage, freshness, accuracy) and establish validation, logging, and governance frameworks.
Lead modularization of data structures to enable scalability, and continuous improvement.
Stay close to customers and the market through ongoing research and interviews.
Partner with engineering, data science, design, sales, and marketing to deliver and drive adoption.

We are looking for a Senior Product Manager to join our Sales Intelligence (SI) team. While our Sales Ops-focused teams build the "backbone" of sales strategy (B2B-heavy data and admin flows), this role is dedicated to the Sales Person. Your mission is to build the "B2C-style" front-end experience for individual sales professionals. You will create tools that aren't just powerful, but are a joy to use-making digital intelligence feel like a superpower in the hands of every salesperson. You will lead the strategy for how a seller finds, researches, and closes deals daily.
A day to day as a Product Manager means...
User-Centric Research: Conduct deep-dive interviews and observations with Sales Reps, Account Executives, and SDRs to understand their daily "hustle" and friction points.
B2C Mindset in a B2B World: Design and define features that feel like consumer-grade apps-fast, intuitive, and immediately actionable.
Product Vision & Strategy: Build and adjust the vision for "Sales Empowerment" tools, ensuring they align with our broader Sales Intelligence goals.
Cross-Functional Collaboration: Partner with big data engineers and data scientists to turn complex signals into simple "buying cues," while working with designers to ensure a seamless UI.
Rapid Iteration: Roll out features responsibly through beta programs, monitoring KPIs like "Daily Active Usage" and "Time-to-Value" for the individual seller.
AI for Sales: Define how AI can automate the "boring stuff" for sellers-from personalized outreach generation to automated prospect discovery.

We are looking for a Senior Product Manager to join our Sales Intelligence (SI) team. While our Sales Ops-focused teams build the "backbone" of sales strategy (B2B-heavy data and admin flows), this role is dedicated to the Sales Person. Your mission is to build the "B2C-style" front-end experience for individual sales professionals. You will create tools that aren't just powerful, but are a joy to use-making digital intelligence feel like a superpower in the hands of every salesperson. You will lead the strategy for how a seller finds, researches, and closes deals daily.
A day to day as a Product Manager means...
User-Centric Research: Conduct deep-dive interviews and observations with Sales Reps, Account Executives, and SDRs to understand their daily "hustle" and friction points.
B2C Mindset in a B2B World: Design and define features that feel like consumer-grade apps-fast, intuitive, and immediately actionable.
Product Vision & Strategy: Build and adjust the vision for "Sales Empowerment" tools, ensuring they align with our broader Sales Intelligence goals.
Cross-Functional Collaboration: Partner with big data engineers and data scientists to turn complex signals into simple "buying cues," while working with designers to ensure a seamless UI.
Rapid Iteration: Roll out features responsibly through beta programs, monitoring KPIs like "Daily Active Usage" and "Time-to-Value" for the individual seller.
AI for Sales: Define how AI can automate the "boring stuff" for sellers-from personalized outreach generation to automated prospect discovery.

we are looking for a AI Engineer.
As an AI Engineer, you will be a key player in building our new AI platform, AI Studio. This platform aims to provide users with instant answers to complex market research questions, generate world-class reports, and create live, interactive, and powerful dashboards. Our goal is to reduce the complexity and time-to-insight for our users, helping them streamline their market tasks and achieve automation that drives real value.
So, what will you be doing all day?
Design and develop LLM-based intelligent agents that can handle complex market research queries.
Utilize LangGraph and other frameworks to create state of the art AI agents that integrate various tools and data sources.
Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead.
Collaborate with product, data, and UX teams to ensure that AI solutions are aligned with user needs and business goals.
Continuously evaluate and improve the performance of AI models to ensure high-quality and data-driven results.

Were looking for a Data Analyst to join the Data for AI team. This is a hands-on, customer-facing role focused on working with leading AI companies to turn real-world data into inputs that support model development and evaluation.
Youll collaborate closely with external AI teams and internal engineering and product partners to deliver data-driven solutions for specific AI use cases. The work is fast-paced, technical, and often open-ended, requiring comfort with large datasets, ambiguous requirements, and end-to-end ownership.
What does the day-to-day looks like:
Own end-to-end delivery of data solutions for AI use cases, from understanding model and product requirements to analysis, implementation, quality, and automation
Work hands-on with large, raw datasets to create high-quality data inputs that support model training, evaluation, and iteration
Apply strong quantitative analysis and data exploration skills to assess coverage, quality, and behavior of data used in AI systems
Build scripts, analyses, and reusable components in Python and SQL to support scalable and repeatable workflows
Collaborate closely with Engineering to ensure solutions are reliable, scalable, and production-ready
Partner directly with external AI teams and internal stakeholders to translate open-ended questions into concrete data outputs

Were looking for a Data Analyst to join the Data for AI team. This is a hands-on, customer-facing role focused on working with leading AI companies to turn real-world data into inputs that support model development and evaluation.
Youll collaborate closely with external AI teams and internal engineering and product partners to deliver data-driven solutions for specific AI use cases. The work is fast-paced, technical, and often open-ended, requiring comfort with large datasets, ambiguous requirements, and end-to-end ownership.
What does the day-to-day looks like:
Own end-to-end delivery of data solutions for AI use cases, from understanding model and product requirements to analysis, implementation, quality, and automation
Work hands-on with large, raw datasets to create high-quality data inputs that support model training, evaluation, and iteration
Apply strong quantitative analysis and data exploration skills to assess coverage, quality, and behavior of data used in AI systems
Build scripts, analyses, and reusable components in Python and SQL to support scalable and repeatable workflows
Collaborate closely with Engineering to ensure solutions are reliable, scalable, and production-ready
Partner directly with external AI teams and internal stakeholders to translate open-ended questions into concrete data outputs

We are looking for an Android Developer.
What does the day to day of a Mobile Developer look like:
Design and write (a lot of) high-quality, functional code of B2C apps with millions of paying and non-paying users.
Tackle challenges and find creative and innovative ways to solve them.
Determine feasibility & take part in decision-making by performing risk management and evaluating trade-offs.
Contribute to your team development velocity and quality confidence.
Improve your skills, learn from and mentor top-notch engineers and enrich other team members.
Perform code reviews, evaluate implementations, and provide feedback.
Have lots of fun!

Were looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.
What does the day to day of a Big Data Analyst Customer Facing (Data Labs) look like:
Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answer client's business. questions by using raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly

Were looking for a Data Engineer to join our Data Labs (DL) department, which specializes in professional services for our super-premium customers. This role will report to our DL (Datalabs) Data Science Team Manager in the R&D.
So, what will you be doing all day?
Building and maintaining our big-data pipelines
Take a major part in designing and implementing complex high-scale systems using a large variety of technologies
Be part of a team with smart and motivated engineers, and data scientists, to collaborate on the planning, development, and maintenance of our products
Implement solutions in the AWS cloud environment, and work in Databricks with PySpark

Were looking for a Data Scientist to join our R&D department!
So, what will you be doing all day?
Your daily responsibilities may include:
Working on versatile use cases within a dynamic, fast paced production environment
Strategic thinking and problem solving, with a strong business sense
Analyzing data from various sources, and turning it into usable input
Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
Initiating newly defined tasks from exploration to proof of concept
Owning the finalization of defined tasks (from POC to deployment in production)
Collaborating with data engineers to make sure we reach the desired production results
Owning the ongoing validation process for existing metrics
Collaborating and brainstorming best practices with other teams within the R&D department
Deploying machine-learning models into production for an ongoing use

we are looking for a NetSuite & Financial Applications Specialist.
So, what will you be doing all day?
Act as the focal point for all finance-related systems, primarily NetSuite and Zuora
Own the ongoing maintenance, configuration, and optimization of the ERP and related financial systems (e.g., Zip, Mesh, and others)
Partner closely with Finance, Accounting, and Business teams to understand processes and translate them into scalable system solutions
Lead system-related projects end-to-end: requirements gathering, solution design, configuration, testing, deployment, and post-go-live support
Design and maintain integrations between financial systems to ensure data accuracy and process efficiency
Provide hands-on support and troubleshooting for day-to-day system issues
Ensure all systems and processes comply with SOX requirements
Continuously identify opportunities to improve automation, efficiency, and data quality across financial