Thomson Reuters

• Research, write and edit high-quality articles daily
• Create, update, and enhance data for U.S. individual income tax products
• Prioritize concurrent projects to meet challenging deadlines
• Analyze and anticipate the interests of a targeted professional audience
• Identify key regulatory, administrative, and transactional documents
• Work with colleagues and other departments globally

Editor, Tax Current Awareness

• Research, write, and edit high-quality articles daily
• Prioritize concurrent projects to meet challenging deadlines
• Create, update, and enhance data for US individual income tax products
• Analyze and anticipate the interests of a targeted professional audience
• Identify key regulatory, administrative, and transactional documents
• Work with colleagues and other departments globally to foster company goals

CPA Editor/Writer – US Tax

Product Manager

• Develop strong product intuition by interpreting and assessing customer problems, business needs, and opportunities
• Build world-class capabilities and products by creating a vision for the product maintaining the product roadmap and partnering closely with the dev team and UX
• Serve as the customer voice for the engineering teams, prioritizing the product backlog based on customer and business value
• Use metrics to monitor and measure progress
• Demonstrate leadership by taking extreme ownership of a feature/product, its performance and reliability
• Show the ability to learn from experiences, recover from setbacks, and effectively evangelize the product vision
• Stay on the cutting edge of AI and technology development, inspiring teams to ideate and experiment with applying AI

Product Designer

• Lead the end-to-end design of AI-powered experiences across multiple product lines, including agentic workflows, generative interactions, and human-in-the-loop systems
• Define and evangelize UX strategy across complex problem spaces, setting design direction that influences product roadmaps and strategic priorities
• Serve as a thought leader in the design of useful, usable, and desirable AI-powered products in a team environment
• Chart a course for yourself and others in ambiguous situations, leading strategic thinking across teams and mentoring designers
• Contribute to and shape internal design standards for AI patterns, design guidelines, evaluation criteria, and UX quality benchmarks
• Translate model behaviors, data inputs, and system limitations into coherent UX patterns that drive user trust and product adoption at scale
• Prototype with real AI/LLM models to evaluate user prompts, improve model responses, and inform product direction
• Map and design collaboration patterns between users and AI – defining when AI acts autonomously, when humans take control, and how handoffs occur
• Create clear interaction flows that incorporate transparency moments, safety guardrails, override options, and recovery states
• Partner with data science and engineering to shape model requirements, evaluate performance constraints, and align system behaviors with user needs
• Champion responsible AI principles including transparency, fairness, bias mitigation, and user empowerment across all design work
• Collaborate and work cross-functionally with design, program, engineering, data science, and product teams from design concept to design solution, setting UX guidelines and creating assets to ensure bar-raising quality all the way to market
• Present your solutions to design, product, engineering, and senior leadership. Synthesize and manage feedback to incorporate changes appropriately, and iterate the vision and design accordingly
• Communicate design decisions with clarity, influence senior stakeholders, and guide teams through ambiguous or evolving problem spaces
• Work strategically with executives and team members across the organization to drive alignment on complex, cross-organizational initiatives
• Develop use cases and high-level requirements while defining UX strategy and creating user-centered designs utilizing customer feedback, market analysis, and usability findings
• Partner with UX Research to run usability testing and AI-specific validation studies to understand user mental models, trust factors, and interaction expectations
• Leverage qualitative and quantitative data to run evaluative studies for AI features (e.g., prompt/response quality, hallucination risk, trust signals)
• Continually iterate and evolve the way we design and learn from our customers
• Demonstrate deep systems-thinking skills and comfort designing across multiple layers: UI, data inputs, model constraints, and operational workflows
• Mentor and coach designers across the organization, elevating design craft and strategic thinking
• Model best practices in design process, critique, and collaboration
• Identify opportunities to improve design operations, tools, and processes that benefit the broader design organization
• Leverage AI tooling and internal content standards to deliver clear, concise, brand-aligned product experiences
• Design accessible solutions and collaborate with the Accessibility team to ensure WCAG compliance, using AI checks alongside expert review

Principal UX Designer

Full-stack Engineer

• Innovate in a Startup-Like Environment
• Design and implement backend services for generative AI agents and orchestration systems
• Collaborate with AI/ML engineers, frontend developers, product managers, and designers
• Design and build the backend for AI-native products focused on accounting workflows
• Develop and maintain backend services using Python, FastAPI, and PostgreSQL
• Implement AI orchestration systems integrating LLMs from providers
• Monitor and enhance system performance across AI driven interactions
• Lead teams of engineers and product teams to translate AI capabilities into applications

Lead Software Engineer, AI

• Estimate, design, code, and test applications
• Work in an Agile environment
• Take ownership of problems
• Build with modern web and cloud technologies
• Collaborate across the team to break down requirements

Software Engineer

• Innovate in a Startup-Like Environment
• Be part of a fast-moving, forward-thinking group creating AI-driven software for accounting professionals
• Design and implement backend services that power generative AI agents and orchestration systems
• Ensure AI-driven solutions are performant, reliable, and adaptable to real-world use cases
• Work closely with AI/ML engineers, frontend developers, product managers, and designers
• Develop and maintain backend services using Python, FastAPI, and PostgreSQL
• Implement AI orchestration systems integrating LLMs from OpenAI, Anthropic, and other providers
• Design APIs and backend logic for real-time AI interactions
• Monitor and enhance system performance across millions of documents and AI driven interactions
• Lead teams of engineers, AI researchers, and product teams to translate AI capabilities into real-world applications

Lead Software Engineer – AI

Implementation Specialist

• Meet with customers to determine business and technical needs
• Recommend optimal system configuration and business processes
• Prepare and present implementation plans for customer approval
• Manage and execute implementation plans including directing staff resources
• Train client personnel on use of software solutions and business practices
• Build and maintain client relationships
• Keep product and industry knowledge up to date
• Manage logistics and administrative tasks for all engagements
• Travel to customer onsite premises when required