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We are seeking a Software Engineering Architect to join the company Tableau engineering team. You will be instrumental in designing and architecting complex, data-driven software systems at scale, with a heavy focus on delivering a best-of-breed Semantic Layer for AI-based data analytics capabilities. As a key technical leader, you will shape the architecture, guide engineering teams in standard methodologies, and ensure the scalability, reliability, performance, and security of our products. You will work on high-impact projects and collaborate closely with Principal Architects.
Your Impact:
Architectural Design & Strategy: Define secure, scalable, and resilient architecture for large-scale, distributed, high-performance systems across multiple cloud environments. Ensure technical solutions align with customer needs, platform, other teas and business requirements.
Semantic Layer & AI Focus: Design, evolve, and govern the next generation of our semantic layer and data modeling framework. Drive the leverage of AI (LLMs and more) and analytic agentic capabilities by providing a unified, rich, and performant data interface.
Execution & Ownership: Be hands-on: write code and POCs, engage in pull requests, and remain close to the code. Simultaneously handle multiple complex, high-priority projects, ensuring architectural decisions support short- and long-term business objectives.
Technical Leadership & Optimization: Provide leadership and mentorship to engineering teams. Lead efforts to optimize system performance and scalability, and ensure high availability and resilience.
Collaboration & Documentation: Work closely with multi-functional teams (PMs, AI experts, engineers, and stakeholders) to define and implement architectural strategies. Create comprehensive documentation for architectural designs and decisions.

Our Privacy team is growing, and we are looking for a Legal Intelligence Analyst to join the team.
Responsibilities:
Play a key role in our 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 our Product and R&D team.

Our Privacy team is growing, and we are looking for a Legal Intelligence Analyst to join the team.
Responsibilities:
Play a key role in our 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 our Product and R&D team.

We are looking for a sharp, proactive, and collaborative U.S.-licensed attorney to join our Legal Intelligence Quality Counsel team.
This role is essential in ensuring the legal integrity of our cases, helping shape strategy, and supporting our efforts to scale quality across our cutting-edge legal tech platform.
If youre a litigation-trained attorney with strong writing skills, deep legal instincts, and a builder mindset - someone who sees opportunities for improvement and takes initiative to drive them forward - wed love to hear from you!
Responsibilities:
Assess legal strength of potential legal violations, advising on litigation-readiness and viability
Review and revise case reports, ensuring persuasive legal arguments and clear articulation of claims
Conduct legal research on diverse areas of U.S. law, staying up to date on developments and trends
Advise on legal strategy for high-impact tech-assisted litigation; evaluate LLM (Large Language Model) legal outputs from a U.S. law perspective
Support model training and accuracy improvements for AI-driven legal tools and systems
Collaborate cross-functionally with analysts, intelligence experts, data professionals, litigation partnerships and consultants to ensure legal accuracy and quality
Communicate legal insights to non-legal stakeholders and potential clients, clearly explaining legal merit and risk
Innovate and build - identify gaps in current processes, propose improvements, and help shape the evolving standards of legal quality.

Were looking for a technically strong Product Manager to lead the evolution of our products data layer. In this role, you will own the roadmap for our core data infrastructure, ensuring it supports scalable growth, high-quality insights, and seamless integrations. Youll partner closely with data scientists, data engineers, and other data teams to translate analytical and operational needs into clear product direction.
You will also define the vision, strategy, and requirements for our internal and external APIs, shaping how our data is accessed, consumed, and leveraged across the organization and by external partners.
This role requires someone who can balance short-term impact with long-term strategic thinking, and who excels at breaking complex data challenges into clear, incremental deliverables that create meaningful progress.
Responsibilities:
Own and drive the product strategy and roadmap for the core data layer and data platform capabilities.
Collaborate closely with data scientists, data engineers, and cross-functional data teams to understand requirements, align priorities, and deliver impactful solutions.
Define, design, and evolve our internal and external API products, ensuring they are scalable, intuitive, and aligned with business needs.
Break down complex data and infrastructure challenges into clear, achievable milestones and iterative deliverables.
Ensure alignment between near-term product needs and long-term architectural strategy.
Work with engineering to prioritize technical investments, manage trade-offs, and maintain a healthy platform.
Partner with stakeholders across Product, Engineering, Data, and Business teams to ensure consistent delivery and smooth integrations.
Monitor performance, data quality, and platform usage to identify opportunities for improvement

We are looking for a Business Application Engineer to join our fast-growing team. In this role, you will build the internal systems, automations, and integrations that power the companys analytical and operational workflows. You will play a key part in enabling our teams to move faster, make better decisions, and scale their impact - all while contributing to a mission that improves the lives of millions.
If you are highly motivated, detail-oriented, and eager to leverage technology to solve real problems, this role is for you. Youre a team player, open-minded and collaborative, and you know how to turn ideas into working solutions. You embrace ownership, move quickly, and are excited to help shape the systems that drive us forward.
Responsibilities:
Design, build, and maintain internal tools, automations, and integrations that streamline workflows across data, legal, and operational teams.
Collaborate closely with analysts, product stakeholders, and legal data teams to understand their needs and translate them into scalable technical solutions.
Ensure system reliability, data integrity, and smooth information flow across internal platforms and APIs.
Develop backend logic and automation scripts that support high-quality, efficient internal applications.
Leverage AI tools and advanced prompting techniques to enhance automation, enrichment, and user experience.
Document system behavior, maintain internal tooling standards, and continuously improve performance, stability, and usability.
Stay up to date with emerging internal tools frameworks, automation practices, and AI-driven development approaches to keep us operating at the cutting edge.

We are looking for a talented Senior Full Stack Developer with an AI-oriented approach to help build and scale the platform powering our legal data operations. This role is critical in developing end-to-end systems used by both legal experts and law firms, leveraging cutting-edge technologies to deliver high-impact solutions. If youre a proactive, technically sharp engineer with a passion for innovation, system architecture, and AI-driven development approach, wed love to hear from you!
Responsibilities:
Collaborate with product managers, designers, and other engineers to design, develop and test our innovative products.
Mentor other engineers, providing technical guidance, define and apply engineering best practices (coding standards, software development methodologies, etc.) to leverage the team technical skills.
Continuously improve the performance, reliability, and security of our applications through design reviews, code reviews, refactoring, and optimization.
Identify and resolve technical challenges and bottlenecks in a timely manner.
Stay updated with emerging technologies and industry trends, and assess their potential impact on our products and processes.
Collaborate with cross-functional teams to translate business requirements into technical solutions.

We are looking for a Senior Data Platform Engineer to design, build, and scale our next-generation data platform, the backbone powering our AI-driven insights.
This role sits at the intersection of data engineering, infrastructure, and MLOps, owning the architecture and reliability of our data ecosystem end-to-end.
Youll work closely with data scientists,r&d teams, analysts to create a robust platform that supports varying use cases, complex ingestion, and AI-powered analytics.
Responsibilities:
Architect and evolve a scalable, cloud-native data platform that supports batch, streaming, analytics, and AI/LLM workloads across R&D.
Help define and implement standards for how data is modeled, stored, governed, and accessed
Design and build data lakes and data warehouses
Develop and maintain complex, reliable, and observable data pipelines
Implement data quality, validation, and monitoring frameworks
Collaborate with ML and data science teams to connect AI/LLM workloads to production data pipelines, enabling RAG, embeddings, and feature engineering flows.
Manage and optimize relational and non-relational datastores (Postgres, Elasticsearch, vector DBs, graph DBs).
Build internal tools and self-service capabilities that enable teams to easily ingest, transform, and consume data.
Contribute to data observability, governance, documentation, and platform visibility
Drive strong engineering practices
Evaluate and integrate emerging technologies that enhance scalability, reliability, and AI integration in the platform.

We are looking for a Data Science Team Lead to lead and grow a talented team working on our core data science challenges.
This is a people-first leadership role. Your primary responsibility will be to support, coach, and develop a team of data scientists and an ML engineer, ensuring their well-being, growth, and long-term success. You will set high technical standards, guide problem definition, and help the team consistently choose the right solution for each problem-whether that involves LLMs, classical ML, or simpler approaches.
Youll operate in a fast-paced startup environment, working closely with engineering, research, product, data, and legal stakeholders. While the role includes some hands-on technical involvement, success is measured by team health, decision quality, and sustainable delivery-not personal output.
Responsibilities:
Lead, mentor, and coach a team of data scientists and an ML engineer
Conduct regular 1:1s and support career development and well-being
Own technical direction and ensure high-quality ML decision-making
Guide problem definition and solution selection (LLMs vs classical ML)
Establish and maintain ML development processes (reviews, gates, evaluations)
Balance short-term delivery with long-term model quality
Communicate risks early and push back on stakeholders when needed
Take full ownership of team execution within 2-3 months.