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SciPlay is a leading developer and publisher of digital games on mobile and web platforms, providing highly entertaining free-to-play games that millions of people play every day for their authenticity, engagement and fun.



SciPlay currently offers nine core games, including social casino games Jackpot Party Casino, Gold Fish Casino Slots, Hot Shot Casino and Quick Hit Slots, and casual games MONOPOLY Slots, Bingo Showdown, 88 Fortunes Slots, Backgammon Live and Solitaire Pet Adventure with offices all over the world!

Position Summary

Key Responsibilities:
Leverage multiple massive and complex data sets to identify patterns, trends, opportunities and threats to the product.
Use advanced analytics, data mining, BI and statistical tools, along with critical and strategic thinking to execute top-notch analyses to drive the product growth.
Translate AB Tests, business and strategic questions into structured analysis method and accordingly plan and execute the most suitable approach, technique, solution and lead to actionable recommendations that will optimize the game performance.
Consistently monitor the product KPIs to ensure its health and drive the product focus.
Work closely with the Product, Monetization and Economy departments and deliver valuable analytics outputs to support decision making.
Plan, develop and maintain reports for different needs and departments, including senior management.
Own and lead multiple projects simultaneously in a dynamic and results-oriented environment.

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview
We are seeking an experienced and visionary Senior-level Staff Product Manager to lead critical initiatives within our Trust & Safety platform for Fraud Prevention.

In this role, you will be instrumental in defining the future of our data capabilities, enabling advanced fraud detection, and building scalable, unified solutions.

You will work at the intersection of complex technical challenges and critical business needs, driving significant impact across Intuit's ecosystem.

Responsibilities
Product Vision and Strategy: Define and evangelize a compelling product vision, strategy, and roadmap for a high-complexity product area within fraud prevention
Technical Product Leadership: Drive the development of complex fraud infrastructure and platform capabilities, translating sophisticated technical requirements into clear product specifications. Lead the creation of generic, self-serve platforms to enable future scalability and adoption
Cross-Functional Collaboration and Alignment: Partner deeply with data engineering, data science, and business stakeholders across multiple locations and organizational units to align on shared goals, technical approaches, and delivery timelines
Impactful Execution: Oversee the end-to-end product lifecycle for multiple features and initiatives, ensuring high-quality delivery that significantly improves fraud prevention
Problem Identification and Solutioning: Expertly identify the most critical problems for stakeholders, conceptualize and "productize" solutions that avoid siloing and deliver long-term value
Stakeholder Communication: Provide clear, concise, and impactful updates to various audiences, including leadership, on project progress, strategic direction, and achieved outcomes

Were looking for a senior Data Product Manager to drive the strategy, architecture, and execution of the data products that power Similarweb. This role is at the core of our data innovation engine, serving multiple business units and platform products across the company. You will lead cross-functional efforts to define, deliver, and scale data assets that are foundational to the Similarweb product and its market differentiation.

This role offers a unique opportunity to lead high-scale, high-impact data products by collaborating with R&D, product, and business stakeholders to architect modular, trusted, and intelligent data systems.

We're looking for a true data enthusiast: someone passionate about translating business needs into data solutions, building strong relationships, shaping methodologies and processes, and owning complex data initiatives from end to end.

This role will report to the VP of Product Management, Data.

What Youll Do
Data Product Ownership
Own the vision, roadmap, and delivery of critical datasets that underpin platform functionality, decisioning systems, and customer-facing features.
Lead modularization of data structures to enable scalability, easier ownership distribution, and data quality improvements.
Introduce metrics for quality (completeness, coverage, freshness, accuracy) and define validation, logging, and governance frameworks.

Cross-Functional Leadership
Serve as the product voice for data across R&D, aligning platform engineers, analysts, scientists, and business teams around a common strategy.
Bridge between domain-specific product teams and platform data infrastructure, translating business needs into scalable, reusable data assets.
Define data SLAs, fallback mechanisms, enrichment strategies, and quality assurance mechanisms in partnership with data consumers.

Strategic Impact
Prioritize and plan data initiatives that support new verticals, geographies, product features, and business models.
Spearhead productization of internal datasets into revenue-generating assets for both direct sales and platform distribution.
Deeply understand the customers evolving needs and enable the data to capture them accurately and scalably.

Execution & Optimization
Write clear product specs that include technical definitions, mapping rules, edge case handling, and downstream consumption logic.
Work hands-on with Databricks, Spark, SQL, and Python to analyze datasets, test logic, or collaborate on experiments.
Identify data anomalies, misclassifications, and inconsistencies, and lead efforts to resolve them in systematic and productized ways.
Design workflows for historical tracking and versioning of datasets.

Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in todays digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more.

In 2021, we went public on the New York Stock Exchange, and we havent stopped growing since!

We are looking for a Senior Product Manager to join our Ad Intelligence team.


Why is this role so important at Similarweb?

Digital advertising is at the core of every growth strategy, and understanding where competitors invest their budgets is critical for marketers, agencies, and publishers. Ad Intelligence is one of Similarwebs most strategic solutions, helping customers optimize their media spend, uncover new opportunities, and stay ahead of the competition.

With Similarwebs unique datasets, advanced data modeling, and trusted position in the market, we are redefining how advertisers benchmark their search, social, and display advertising performance.


As a Product Manager for Ad Intelligence, you will own and expand Similarwebs cross-channel advertising analytics. You will ensure our customers have the most accurate, granular, and actionable ad spend, creative, and performance insights in the industry.


Whether its by expanding ads data coverage, improving spend and impression estimation, or designing intuitive reports and workflows to surface competitive insights, you will play a key role in making Similarweb indispensable for ad professionals.



What youll be doing:

Deeply understand users and their workflows marketers, agencies, and media buyers to define the most valuable advertising use cases.

Collaborate cross-functionally to deliver high-impact features:

Platform (Backend & Frontend) to build scalable, high-performing ad intelligence features.

Data Science to enhance algorithms estimating ad spend, reach, impression share, and creative performance.

Data Collection & Extraction teams to expand and maintain accurate, fresh data coverage across search, social, and display networks.

Dedicated UX Product Design to deliver intuitive dashboards, reporting, and insight-driven workflows.

Define and own the product roadmap prioritize initiatives based on customer value, business impact, and data feasibility.

Drive end-to-end product delivery from discovery, requirements, and design to development, testing, and post-launch optimization.

Measure success and iterate monitor KPIs, analyze adoption and engagement, and continuously refine features.

Expand delivery methods including platform dashboards, API integrations, and automated alerts for enterprise customers.

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, Meta, OpenAI, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people.

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 Data Analyst Customer Facing (Data Labs) at Similarweb 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 Similarwebs 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