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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

We are looking for a strong hands-on Engineering Manager to lead the AI Productization team. You will lead a team that creates innovative products and platforms, ensuring AI capabilities are delivered to our customers at scale. You will act as a technical leader, mentoring engineers and applying technical expertise to challenging programming and design problems.
Respnsibilities:
Strategic Leadership: Collaborate closely with other teams to lead the strategy as well as drive the execution and bring it to life. Create a shared vision and build/maintain strong cross-functional relationships with partners across the business.
AI Delivery: Lead the delivery of backend as well as front end experiences, powered by state of the art AI technologies.
Build High Performing Teams: Bring out the best ideas from the best engineers by empowering them and leading by example. Build high-performing teams by putting the right people in the right job at the right time.
Hands-on Leadership: Participate in code reviews, design discussions, and hands-on coding to ensure the team delivers high-quality software.
Operational Excellence: Drive results by thinking strategically and ensuring the team follows Agile development methodologies.

Come join the team as a StaffBackend Engineer. We are a customer-obsessed, and our capabilities serve millions of customers; we innovate to create hyper growth to the customers and the business; using new technologies and driving new platform initiatives.
If you are passionate about building a world class platform, at a high scale, this is the opportunity for you!
Responsibilities:
You will seek to improve performance by refactoring existing services and flows
You will mentor more junior team members and help them learn and progress professionally.
You will collaborate with various stakeholders - product management, analysts, data engineers, customer success, and more.
You will contribute by owning the designing and implementing new features and enhancements and represent the team in the technical aspect during discussions and architecture roundtables
You will be hands-on, 70 - 80% coding
You will serve as the immediate go-to person within the team for any tech-related issue or discussion
Youll be a good listener, while also having strong opinions on what is right
Youll be fun to be around and work with

We are seeking a highly skilled Staff Fullstack Engineer to join our team. The ideal candidate will have a passion for developing high-quality, innovative software solutions and a strong familiarity with GenAI.
Responsibilities:
Frontend & Backend Depth: Design and implement scalable, modular, and secure services while creating integration-centric solutions using modern API technologies. Manage the full cycle of web service creation and consumption with ReST or GraphQL API modeling.
Full Stack Development: Design and develop web, software, prototypes, or proofs of concepts (POCs). Hands-on coding across the stack.
AI Integration: Designing systems with multi-step reasoning, using tool use and API orchestration to productize AI capabilities.
Cross-Functional Delivery: Work cross-functionally with various teams including product management and business units to drive forward results. Contribute to the design and architecture of the project.
Experience with Agile Development, SCRUM, or Extreme Programming methodologies.