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We are seeking a visionary and hands-on AI Scientist to help shape the next generation of foundational language models and agentic systems that empower small and medium-sized businesses (SMBs) to thrive. In this role, you will play a key part in defining, designing, and building groundbreaking AI solutions that understand, reason, and act across complex financial and business contexts.
You will collaborate closely with cross-functional experts in AI research, data science, engineering, and product to create intelligent agents that help SMBs automate financial tasks, make smarter decisions, and operate more efficiently. Your work will combine scientific rigor with visionary execution, balancing theoretical innovation with large-scale practical impact.
The ideal candidate is a builder-scientist-a creative thinker who not only develops novel model architectures and training paradigms but also drives their implementation and validation in real-world applications. Youll have the opportunity to shape the AI foundation that powers transformative products serving millions of customers.
Responsibilities:
Design and develop foundational language models and agentic architectures that power intelligent decision-making for small and medium businesses.
Explore novel approaches in large-scale pretraining, fine-tuning, retrieval-augmented generation, and reasoning to improve factuality, adaptability, and alignment.
Build intelligent agents capable of understanding financial data, customer context, and business workflows - from bookkeeping and planning to communication and insights generation.
Collaborate with cross-functional teams across AI research, engineering, product, and design to translate breakthrough science into scalable products used by millions.
Define technical strategy and roadmap for next-generation agentic systems, driving innovation and excellence across the organization.
Publish and present research findings, internal innovations, or contributions to open-source frameworks where appropriate.

As a Senior Analyst on the Trust and Safety Analytics team, you will play a critical role in identifying, analyzing, and operationalizing key data signals to help prevent fraud, protect customers, and enforce acceptable use of products and services. You will apply strong analytical and technical skills to support and scale risk detection tools, monitoring processes, and mitigation strategies across Trust & Safety.
This role partners closely with Product, Engineering, and Operations teams to deliver insights that drive data-informed decisions and measurable risk reduction.
Responsibilities:
Partner with Engineering and Product teams to support the design, implementation, and maintenance of analytics tools, dashboards, and data pipelines that enable effective fraud and risk monitoring.
Analyze large, complex datasets to identify trends, anomalies, and emerging fraud patterns, translating findings into actionable recommendations.
Contribute to the ongoing improvement of Trust & Safety platforms, including monitoring performance metrics, assessing platform health, and identifying risk gaps or degradation.
Design and maintain dashboards and reporting (e.g., Tableau) to track fraud performance, operational efficiency, and risk exposure.
Ensure data quality and reliability by performing validation, testing, and monitoring of analytics outputs; proactively identify and escalate issues.
Support incident analysis and investigations by using data to identify root causes, quantify impact, and recommend mitigation actions.
Stay current on fraud trends, AI-driven abuse, and industry best practices, incorporating new insights into analyses and detection strategies.
Clearly communicate insights to both technical and non-technical stakeholders, influencing decisions through data-backed storytelling.

As a Group Product Manager (GPM) for QuickBooks Bill Pay, you will own the vision, strategy, and execution for one of QuickBooks most strategic growth and engagement levers.
You will lead a team of product managers to deliver a world-class bill payment experience that helps small businesses effortlessly manage spend, improve cash flow, and build healthy financial habits.
This role sits at the heart of Money Movement ecosystem and requires a leader who can blend customer obsession, innovation, operational excellence, and deep cross-functional partnership to build delightful, reliable, and scalable financial workflows for millions of small businesses.
You will shape the future of how small businesses pay their bills-securely, intelligently, and with confidence.
Why makes this role exciting?
High Visibility and Impact: You will lead one of the most strategic product areas of QuickBooks, directly impacting millions of small businesses.
Massive Customer Need: Bill payment is core to financial health-your work will reduce stress, eliminate manual workflows, and power prosperity.
Innovation Playground: Build intelligent automation, AI-driven insights, seamless money movement, and delightful AP workflows.
Leadership Scope: Lead a growing PM team and influence the broader Money ecosystem across .
Scale + Velocity: Work with cutting-edge financial infrastructure, trusted data, and a massive, engaged customer base-combined with startup-like speed.

Join the QuickBooks B2B Group as a R&D Team Lead, managing and developing the Bill-pay experience!
In this role youll be part of an innovative team that creates the next generation of payment mechanism, helping small business to get paid faster.
If you love having stretch goals, real world challenges, and making customers incredibly happy whilst fostering your obsessive need for perfect code and user experience, this is the job for you.
You will collaborate with many teams in and contribute to many components in different Business Units.
We love engineers who lead the change, are not afraid of technical challenges, communicating with customers and delivering the most beautiful and intuitive applications.
Responsibilities:
Technology leaders think strategically and drive for results. They build high performing teams by putting the right people in the right job at the right time. Leaders help to innovate by thinking differently. They lead their teams to embrace new ideas that produce outstanding results for our customers. Leaders at inspire others thru action by creating a spirit of collaboration.
In this role you will help to bring out the best ideas from the best engineers by empowering them and leading by example.
Your team will create and bring customer driven software products to market that simplify and solve for current customer needs while building for the future.
To accomplish this you will create a shared vision and build and maintain strong cross-functional relationships / alignment with partners across the business (e.g. Program Mgmt, Business Analyst, Program Managers and Development Managers across the org).

We're looking for a Staff-level Senior PM that will strategically define and execute the data ecosystem vision, focusing heavily on enabling self-service data consumption across the organization.
You'll bridge the gap between Data and Risk analysts, Data Engineering, Data Science, and business units, ensuring our data assets are high-quality, discoverable, and packaged as successful products that unlock measurable business value.
This role offers the unique opportunity to shape the core data infrastructure powering our next generation of products while working with cutting-edge technology and a team dedicated to innovation.
Responsibilities:
Product Strategy and Vision: define and champion the product vision and roadmap for our data products (e.g., internal analytics platforms, external data APIs, machine learning model outputs, core data pipelines).Stakeholder Collaboration: Serve as the primary liaison between data scientists, data engineers, software engineers, and business stakeholders to gather requirements, prioritize features, and manage expectations.
Requirements Definition: Translate complex business problems and user needs into clear, actionable user stories, functional specifications, and acceptance criteria for data products.
Self-Service Enablement: design and optimize data products to maximize self-service consumption. This includes curating accessible datasets, developing intuitive interfaces, and ensuring data assets are well-documented and easily discoverable by business users.
Data Tool Ownership: Drive the adoption, feature roadmap, and success of our core services; empower analysts and business users with direct data access.
Prioritization and Roadmap Management: Manage the backlog for data product development, making tough trade-off decisions based on business impact, technical feasibility, and strategic alignment.
Product Launch and Adoption: plan and execute successful product launches, including go-to-market strategies, documentation, and driving adoption of data products across the organization.
Performance Measurement: Define, track, and analyze key performance indicators (KPIs) for data products (e.g., data quality, latency, usage, business impact, cost) to ensure product success and inform iterations.

We are looking for team members that love new challenges, cracking tough problems, and working cross-functionally.
You will be working end-to-end from ideation to implementation and have an opportunity to see your models make a significant impact on products and customers security.
Responsibilitie:
Develop ML models to identify security exploits, that based on a wide range of algorithms and techniques (classification, clustering, graph based)
Explore various data sources while leveraging your domain knowledge to craft creative features to boost model performance
Lead and innovate AI projects in the Security domain, lead discussions and understand the needs of the project from the business units and be able to integrate your domain knowledge into the algorithms you'll build and implement in production
Be an active partner of the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation, and visualization

Come join as a Senior Staff Machine Learning Engineer (MLE).
Senior Staff MLEs deliver end-to-end AI solutions that span multiple domains and products, influencing the strategic direction of machine learning and AI across the company. You will identify cross-cutting opportunities, set technical direction for complex systems, and deliver scalable, responsible AI-driven experiences that unlock customer and business value at scale.
In this role, youll be expected to define and evolve ML architecture, guide multiple teams, and drive execution excellence across the full ML lifecycle-from experimentation to production. Youll partner closely with AI scientists, product engineers, and business leaders to solve high-impact problems and pioneer new capabilities that advance AI-native platform.

As a Staff Analyst on the Trust and Safety Analytics team, you will be responsible for identifying, making available, and leveraging critical data elements to optimize ability to fight fraud, protect its customers and enforce acceptable use of products and services. Specifically, you will focus on applying your analytical skills to design, support and scale tools, processes, and strategies that proactively identify and mitigate risks across the organization.
Responsibilities:
Collaborate closely with Engineering and Product teams to design, implement, and maintain analytics frameworks, tools, and data systems that support effective data monitoring and risk management strategies, enabling informed, data-driven decision-making.
Take an active role in the analytics team's efforts to manage and enhance Trust and Safety platform capabilities. Provide timely insights and actionable recommendations to strengthen platform performance and address emerging challenges. Develop tools and systems to measure platform health and assess risks, including designing dashboards to track performance metrics, analyze trends, and identify areas that require attention or intervention.
Ensure analytics systems are consistently reliable, accurate, and available. Establish proactive monitoring processes and implement thorough testing to detect and address issues, minimizing system disruptions or delays.
Contribute to effective incident management by using analytics to identify root causes, provide actionable insights, and continuously improve platform risk mitigation solutions.
Stay abreast of the latest developments in AI, and integrate insights into your analysis to address emerging risks