דרושים » תוכנה » Legal Intelligence Analyst / Consumer Protection

Our Legal Intelligence team is expanding, and we are seeking a Legal Intelligence Specialist to join our Finance team.
This is not your typical role. As a Legal Intelligence Specialist, you will play a pivotal role in uncovering large-scale legal violations that impact millions of Americans. From bankruptcy to ERISA, your work will contribute to delivering real-world justice at scale.
The ideal candidate has a firm legal background combined with a good understanding of data and financial concepts. While expertise in all areas of our work isnt required, we value individuals with curiosity, a growth mindset, and the ability to learn quickly.
innovation is our standard. We encourage creativity, entrepreneurial thinking, and the pursuit of new ideas-there is no single right way to approach problems here.
Responsibilities:
Use data, AI, and innovative thinking to uncover large-scale legal violations.
Conduct legal research to support investigations as needed.
Develop creative methodologies for analyzing and interpreting unstructured data.
Collaborate with the team to maintain high production quality and identify emerging legal phenomena.
Assess and verify the reliability of diverse sources (legal and otherwise).

We are looking for a Data Analyst who will be part of our Growth team and have a significant ability to impact our business.
Whats the job?
Develop predictive models and perform advanced data analysis to generate key insights and actionable recommendations for high-level management.
Conduct deep analytical investigations, including hypothesis-driven analysis, data exploration, and anomaly detection, to uncover trends, root causes, and business opportunities.
Work closely with Customer Success, Product, and Business teams to analyze partner performance, identify optimization opportunities, and translate data insights into scalable operational improvements.
Build and maintain machine learning pipelines, data analytics automation tools, and scalable processes to improve company revenue, partner performance, and Customer Success operations.
Collaborate with the team to design experiments (A/B testing) and continuously improve the analytical and reporting processes through streamlined and scalable approaches.
Contribute to the development and maintenance of advanced data dashboards, reports, and visualizations that track business performance, model performance, and overall data health, and ensure robust data quality and tracking mechanisms.

we are seeking an Ad Operations Analyst to drive data visibility and operational intelligence across our Supply organization. In this role, you will bridge the gap between raw programmatic logs and actionable business intelligence, helping ensure operational stability and performance across multiple integrations.
You will analyze high-volume programmatic traffic and large-scale advertising datasets, working at the intersection of operations, analytics, and product, collaborating closely with Supply Operations, Product, Data Engineering, and Business teams. This is a high-impact role where your insights will help improve operational transparency, detect issues early, and support data-driven decision-making across the organization. The team actively leverages modern AI and automation tools to enhance analytics workflows, monitoring, and data exploration.
Responsibilities:
Own and develop supply monitoring frameworks and reporting dashboards used across the Supply organization to detect and resolve revenue-impacting issues
Aggregate and analyze data from multiple internal systems and external advertising platforms to support operational monitoring and analysis
Work with large-scale datasets across multiple advertising integrations, including SSPs, exchanges, and partner platforms
Identify trends, anomalies, and operational issues while generating actionable insights
Provide insights that influence operational decisions and supply optimization strategies
Investigate data discrepancies and operational issues by combining business logic, product understanding, and large-scale data analysis
Build and maintain automated data pipelines and API-based data collection processes
Develop dashboards and data visualizations that support operational monitoring and business decision-making using modern BI and AI-enabled tools
Collaborate closely with Data Engineering to improve data infrastructure and reporting reliability
Work with Product and business teams to visualize operational data and support strategic initiatives
Design smart alerts and monitoring systems, including anomaly detection capabilities, to proactively identify operational issues
Use automation and modern AI tools to improve analytical workflows and operational efficiency

Now were looking for someone who will disrupt them.
We want a builder with an innovative, AI-first mindset - someone who looks at a stable environment and sees opportunity for reinvention.
Someone who doesnt just maintain systems, but redesigns them.
Someone who challenges how weve always done it and replaces it with automation, intelligence, and smarter workflows.
Reporting to the HR Ops Director (CoE), you will evolve our HR function from operationally solid to technologically exceptional - building the next generation of HR where humans and AI agents work seamlessly together.
What Youll do:
- Lead AI & Automation Initiatives
Identify repetitive, manual HR processes and automate them.
Build and deploy AI agents to support HR operations.
Experiment with new AI tools and continuously introduce smarter ways of working.
Enable the HR team and managers to work effectively alongside AI, building a true human + agent collaboration model.
- Keep upgrading our HR infrastructure
Own and continuously evolve our HRIS (HiBob) as a strategic platform.
Design scalable, automated workflows across the employee lifecycle - from onboarding to offboarding.
Ensure data integrity, clean system architecture, and seamless tool integrations.
- Drive People Analytics & Strategic Insight
Turn workforce data into actionable insights for leadership. Lead reporting and analysis around attrition, headcount planning, performance trends, cost management, and organizational health.
Build automated dashboards and reporting frameworks that reduce manual reporting and improve decision-making.
Use predictive thinking to anticipate risks and opportunities.
- Optimize Comp&Ben & Ensure Compliace
Lead comp&ben, support and optimize total rewards processes, ensuring efficiency and market competitiveness.
Maintain operational excellence and compliance across employment lifecycle processes, documentation, and policies.
Create structured, scalable solutions that mitigate risk and ensure consistency.-
- Champion Continuous Improvement
Partner closely with Finance, Legal, Talent Acquisition, and business leaders.
Align workforce planning, compensation processes, and operational frameworks with company objectives.
Introduce automation and system improvements across cross-functional workflows.
Proactively identify inefficiencies, gaps, and friction points in HR operations.
Raise the bar on how HR operates - making it faster, smarter, and more impactful.

Our Privacy team is growing, and we are looking for a Legal Intelligence Analyst to join the team.
Responsibilities:
Play a key role in Darrows Analysis core team - combining technology research, intelligence gathering, data analysis, and legal research capabilities.
Translate the companys needs into actionable data collection plans.
Locate new data sources, using advanced analytical tools.
Help establish automatic methods in collaboration with Darrows Product and R&D team.

We are seeking a highly motivated and experienced Senior Product Analyst to join our team. This position is part of our Voice Group, reporting to the Data Team Lead. You'll be the analytical backbone of the team, working side-by-side with PMs and engineers to find what's working, what can be improved, and what to build next.

We are looking for someone with a relentless curiosity for both user behavior and AI/ML mechanics; someone who understands how models function and possesses a natural drive to dig into data anomalies until they make sense. Your work will directly shape how our voice agents perform, from surfacing patterns in conversation data to providing the inputs that improve our models.

Responsibilities
Analyze conversational data at scale to uncover opportunities for improving resolution rates, success rates, conversation depth, and growth.
Partner closely with Voice PMs to translate data findings into product priorities and roadmap inputs.
Provide the analytical insights and requirements that drive model improvements while collaborating with ML and engineering teams to define and own end-to-end success metrics.
Build and maintain dashboards and metrics that give the Voice group a shared, reliable view of performance.
Design and analyze experiments and A/B tests to validate hypotheses about agent behavior, conversation flows, and user outcomes.
Develop a deep understanding of our conversational data, taking full ownership of the analytical infrastructure to ensure the highest standards of data integrity and becoming the primary storyteller for your domain.
Proactively investigate data anomalies or gaps to identify root causes and propose solutions without waiting for external direction.

AS a Senior Data Analyst to join our R&D team, you will be responsible for- shaping how we understand data, drive insights, and influence strategic decisions across the company. Youll work closely with teams across to uncover trends, identify opportunities, and help guide the direction of our business.
Your Chain of Impact:
Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Partner with cross-functional teams to understand business needs and design data-driven solutions.
Analyze large datasets to provide clear, impactful recommendations that support operational and strategic goals.
Develop scalable data processes and infrastructure to support internal stakeholders.
Build and maintain dashboards, reports, and KPIs to monitor and improve company performance.
Translate business questions into analytical models and craft compelling data visualizations that tell the story.

We are looking for a native French speaker with a high level of proficiency in English to join our Annotation and Analysis team at the as a Data Annotator and Analyst.
In this role, you will work with large volumes of data in both French and English, annotating and analyzing datasets used to evaluate and train machine learning models, including large language models (LLMs). Your work will involve reviewing model outputs and preparing high-quality training data that supports the development and continuous improvement of AI-driven products. In addition, as part of the job, you will conduct complex analysis on the annotated data and provide insights to the other stakeholders.
This position is ideal for someone passionate about linguistics and data, and who enjoys working on detail-oriented tasks that directly impact model quality. As part of a collaborative, cross-functional team, you will work closely with Data Scientists and Product Managers to ensure that datasets are accurately labeled and annotation standards support the development of reliable machine learning systems.
Responsibilities :
Evaluate the quality of machine-translated text, with a focus on French language accuracy and fluency.
Annotate and assess AI model responses to support systematic evaluation and improvement of model performance.
Create high-quality annotated datasets used to train and evaluate LLMs and other NLP models.
Write and refine LLM prompts that support scalable human annotation workflows.
Collaborate with cross-functional teams, including Data Scientists and Product Managers, to communicate linguistic nuances and implications of French translations on model behavior and user experience.
Analyze annotated data and evaluation results to identify patterns, assess model quality, and surface insights for model improvement.

we are looking for a Business Data Analyst.
Responsibilities:
Plan, organize, facilitate, and lead reviews of business requirements with users and developers to ensure accuracy, completeness, and mutual understanding.
Collaborate with vendors to design, develop, and implement Automation solutions using RPA tools such as Automation Anywhere, SQLs, Python and VBA.
Utilize expertise in programming languages such as SQL and Python to perform data analysis and recommend various solutions to improve data accuracy, timeliness, and completeness.
Create data visualizations utilizing tools such as Tableau\Power BI to present and recommend alternative solutions as well as drive data-driven decision-making.
Conduct feasibility studies to determine the technical and economic feasibility of the proposed solution.
Understand and document well-organized, detailed, and concise business requirements by converting the results of data from interviews and conducting own analysis.
Identify opportunities in current processes, conduct GAP analysis to quantify issues, and recommend alternative solutions that will optimize process and/or improve the completeness, timeliness, and quality of the data set.
Coordinate and collaborate effectively with the project team, including but not limited to end-users, product management, evaluations, index, portfolio analytics, quality assurance, project management, and development teams to mitigate and assess project risks, eliminate ambiguities, and meet project deadlines.
Examine current business functions and system capabilities. Identify trends and causations of inaccurate and/or incomplete data sets by conducting in-depth root cause analysis.
Determine efficiencies, accuracy, timeliness, completeness gained from recommended solutions.
Monitor project progress by tracking activity, resolving problems, and publishing progress reports. Prepare production release notes and organize review sessions with RDO and DSG groups to ensure a full understanding of release scope.
Apply problem-solving skills to create innovative workflow resulting in increased productivity.
Write complete and concise test scripts for user acceptance testing. Plan, coordinate, and execute created test cases.
Identify any potential data gaps resulting from the creation of new fields and/or rules. Work with related groups to confirm completion of data backfills required after a production release.
Coordinate closely with the RDO training team to ensure all training documentation is adjusted, and all training sessions are completed before the release rollout.
Mentor junior team members on Automation tools and best practices.
Create working relationships with Data Vendors to understand content and escalate issues.

Were looking for a Marketing Operations Engineer to join our Marketing Technologies & Operations team as a true technical builder. This role sits at the core of how scales its Product-Led Growth (PLG) motion - building the infrastructure that turns product signals into revenue.
Youll operate at the intersection of Marketing, Sales, Data, and Engineering - going beyond campaign execution to design systems, automate workflows, and deploy AI-driven solutions that power customer journeys at scale.
Youll lead the technical side of our customer engagement platforms, develop our orchestration layer (n8n / Make), and build the foundations that connect product usage with go-to-market execution.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You see marketing systems as something to build - not just manage
You enjoy designing workflows and automations across multiple tools and platforms
You like turning messy, fragmented data into clean, actionable flows
Youre excited about using AI to automate and scale go-to-market processes
Youre comfortable working across Marketing, Sales, Data, and Engineering
You take full ownership - from idea to production and iteration
You thrive in fast-moving, high-impact, AI-first environments