Role Description The Senior AI Engineer is the engineering backbone of the internal tools team, building and maintaining the platforms that every team in the company relies on. Your work directly increases organizational efficiency and enables teams to move faster. The Senior AI Engineer will own systems end-to-end, from scoping and architecture through production deployment and iteration, connecting multiple business systems into a seamless, reliable internal ecosystem. This position is 100% Remote. Senior Engineer Responsibilities: - Build & Ship: - Design, build, and maintain internal platforms and tools that serve People, Finance, Ops, Sales, and Engineering teams. - Own features, end-to-end requirements, architecture, implementation, testing, deployment, and monitoring. - Write clean, well-tested, production-grade code. You hold yourself to the same bar as customer-facing products. - Architecture & Integration: - Build API-first integrations across the internal ecosystem connecting HRIS, CRM, finance platforms, knowledge management, and developer tools into a coherent stack. - Design for reliability, performance, and scale what you build today must hold as the company grows 5–10x. - Eliminate data silos. Build clean data pipelines that maintain a single source of truth across systems. - Own your services in production: monitoring, alerting, incident response, and post-mortems. - AI & Automation: - Build AI/LLM-powered features into internal workflows, automating approvals, knowledge retrieval, reporting, content generation, and operational processes. - Move fast from prototype to production. You know the difference between a demo and a system that works at scale. - Stay current on emerging AI capabilities and proactively identify where they unlock step-change improvements in internal productivity. - Collaboration & Influence: - Work directly with business stakeholders to understand pain points and translate them into technical solutions. You don’t wait for a spec you help shape it. - Pair with and mentor junior engineers. Raise the technical bar through code reviews, design reviews, and leading by example. - Influence technical direction: propose architectural improvements, challenge assumptions, and drive best practices across the team. Qualifications - 5+ years of professional software engineering experience, with meaningful time spent building internal tools, platforms, or business systems. - Artificial Intelligence (AI) experience required. - Strong full-stack or backend engineering skills. Proficient in at least one of: Python, Go, TypeScript/Node.js, or Java. - Solid understanding of Cloud Infrastructure (GCP/AWS/Azure), Containerization (Docker/Kubernetes), CI/CD Pipelines, and modern DevOps practices. - Hands-on experience building and maintaining API integrations between third-party SaaS platforms (e.g., Workday, Salesforce, Slack, NetSuite). - Strong data fundamentals: relational databases, data modelling, ETL/ELT pipelines, and working knowledge of SQL. - Comfort with ambiguity. You can take a vague business problem, break it down, and deliver a working solution without heavy handholding. - Clear communicator who can explain technical tradeoffs to non-technical stakeholders. - Experience with workflow orchestration tools (Temporal, Airflow, Prefect) or integration platforms (Workato, Tray.io, MuleSoft) is a plus. - Frontend experience with React, Next.js, or equivalent modern frameworks is a plus. - Familiarity with HRIS, ERP, or people systems data models and processes is a plus. - Experience at a high-growth or AI-native company is a plus. - Contributions to developer experience tooling, CLIs, or internal SDKs is a plus. - Experience building or integrating AI/LLM-powered features not just experimenting, but shipping to real users is a plus. Benefits - Medical insurance - Dental - Vision - Savings Plan Options - PTO

Role Description We are looking for a Head of Engineering who can drive engineering execution, structure engineering workstreams, and help build a high-performing engineering team. The Head of Engineering role focuses on turning product and technical direction into reliable delivery and ensures the team ships effectively and consistently. A strong technical foundation in system architecture is a must. The Head of Engineering role involves helping manage engineering workstreams, supporting technical decisions, and leading engineering hiring across the globe. This position is 100% Remote. Head of Engineering Responsibilities: - Engineering Execution: - Help structure engineering workstreams and ensure projects move forward efficiently. - Identify risks, unblock engineers, and maintain steady development velocity. - Ensure high engineering standards while keeping teams focused on shipping. - Translate product direction and technical strategy into clear engineering execution. - Technical Guidance: - Contribute to key architecture discussions and technical decisions. - Support engineers in evaluating system design choices and implementation trade-offs. - Ensure systems are implemented in a scalable and maintainable way. - Team Building and Recruiting: - Build and scale a strong engineering team across China, US and Europe. - Recruit high-quality engineers and help maintain a strong hiring bar. - Establish structured hiring processes and interview standards. - Cross-Team Coordination: - Work closely with product, research, and leadership teams. - Ensure alignment across different engineering efforts and locations. - Help resolve technical and organizational bottlenecks. Qualifications - Strong technical background in software engineering and system architecture. - Artificial Intelligence (AI) experience required. - Experience managing or leading engineering teams. - Ability to structure engineering work and maintain development velocity. - Strong judgment in technical decision-making. - Comfortable operating in early-stage environments. - Clear communication and ability to work across teams. Benefits - Medical insurance - Dental - Vision - Savings Plan Options - PTO Compensation USD 170,000 - USD 225,000 yearly

Company Description Fortune Brands Innovations, Inc. is an industry-leading home, security and digital products company. We’re focused on exciting opportunities within the home, security and commercial building markets. Our driving purpose is to elevate every life by transforming spaces into havens. We believe our work and our brands can have incredibly positive impacts for not just our business and shareholders, but for people and the planet, too. At Fortune Brands, we’re building something big. We’re advancing exciting innovations in all of our products and processes. We’re delivering trust, dependability, sustainability, and style. To make it all happen, we’ve transformed our workplace into an environment where smart, ambitious people have the support to reach their fullest potential. When you join Fortune Brands, you become part of a high-performing team empowered to think big, learn fast and make bold decisions. We support an inclusive culture where everyone is encouraged be their authentic selves, and where our differences and unique perspectives are a key strength. Explore life at Fortune Brands here. Job Description Lead Data Engineer, Fortune Brands Innovations Group, Inc., Deerfield, IL. Administer a cloud data warehouse platform (e.g., Snowflake or similar), including roles/permissions, performance tuning, security, & cost governance. Utilize Git for version control & collaboration throughout the development lifecycle. Help design scalable, reliable, & secure data architectures & models. Must have a Bachelor's Degree in Computer Science, Information Systems, or related & 5 years of experience in a data engineering or data operations position. Qualifications Of experience required, must also have 5 years of experience in each of the following: - Developing & maintaining ETL/ELT pipelines - Utilizing professional SQL development - Professional Python development with code-quality/testing practices - Using version control within the development lifecycle - Working with a cloud data warehouse platform (e.g., Snowflake, Amazon Redshift, or Google BigQuery) including performance optimization & role-based access/security - Building transformations & models using a data transformation framework (e.g., dbt or similar) - Implementing CI/CD for data code using common tools - Monitoring & optimizing cloud data platform costs - Migrating & loading data from APIs, SaaS applications, & ERP systems (e.g., Oracle or SAP) - Working with ETL tools & relational database platforms; & - Unix-based command-line tools. Experience may be gained concurrently. 100% remote. Apply online at: www.fbin.com/careers Additional Information Fortune Brands believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is $160,555 to $193,000 per year. An employee’s actual salary within the range will be based on factors including, but not limited to, relevant education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based sales incentive plan. At Fortune Brands, we support the overall health and wellness of our associates by offering comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs. This includes robust health plans, a market-leading 401(k) program with a company contribution, product discounts, flexible time off benefits, adoption benefits, and more. We offer numerous ERGs (Employee Resource Groups) to foster a sense of belonging for all associates. Fortune Brands is built on industry-leading brands and innovation within the high-growth categories of water, outdoors and security. The Company makes innovative products for residential and commercial environments, with a growing focus on digital solutions and products that add luxury, contribute to safety and enhance sustainability. To learn more, visit our website at fbin.com. Equal Employment Opportunity Fortune Brands is an equal opportunity employer. Fortune Brands evaluates qualified applicants without regard to race, color, religion, sex, gender identity or expression, national origin, ancestry, age, disability/handicap status, marital status, protected veteran status, sexual orientation, genetic history or information, or any other legally protected characteristic. Reasonable Accommodations Fortune Brands is committed to working with and providing reasonable accommodations to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please contact us at fbinleave.fbhs@fbin.com and let us know the nature of your request along with your contact information. Important Notice: Protect Yourself from Fraudulent Job Postings To protect yourself from fraudulent job postings or recruitment scams, please note that Fortune Brands job postings are exclusively hosted on our website at fbin.com/careers via our SmartRecruiters platform. Fortune Brands will never request banking information or sensitive personal details until an offer of employment has been accepted and the onboarding process begins.

• Design, build, and operationalize scalable data solutions to support enterprise analytics and AI/ML initiatives. • Architect end-to-end pipelines using industry-standard tools. • Drive automation and move solutions effectively into production. • Ensure compliance with data governance requirements (including GxP and HIPAA/GDPR). • Build reusable, integrated pipelines and analytical models that promote self-service analytics. • Provide technical leadership across the team and mentor junior engineers. • Partner with business stakeholders to align data engineering with organizational objectives.