The posting
About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary We're looking for an AI Product Engineer to build and ship enterprise tools, systems and automations that drive measurable operational savings or improvements across Rivian's Facilities organization. You'll use AI-native development tools like Cursor, Gemini, and Claude to turn real Facilities problems into working solutions that save time, reduce cost, and eliminate manual overhead. You'll embed directly into Facilities workflows — construction project reporting, capital program tracking, real estate operations, building management — and build automations that have a tangible dollar-and-cents impact. Responsibilities Build & Deploy Build internal applications, AI agents, and workflow automations using LLM-assisted development tools (Cursor, Gemini, Claude, Glean, etc.) targeting specific Facilities pain points — manual reporting, data entry, schedule tracking, cost reconciliation — with a focus on quantifiable time and cost savings Stand up no-code and low-code solutions, maintainable by non-technical team members where speed and simplicity are prioritized over engineering complexity Connect Facilities data sources (ACC, Procore, Kahua, FOS, Databricks) via APIs to support intelligent workflows that unify siloed information Own the Full SDLC by applying traditional product development rigor to AI-generated code. You will manage sprint cycles, define technical requirements in Jira, and oversee the end-to-end lifecycle of the tools you build. Conduct code reviews on peer-built AI tools and own enhancement of deployed solutions based on user feedback and evolving business needs Learn the Business Rapidly build working knowledge of Facilities operations — how capital projects are planned, budgeted, tracked, and delivered — by shadowing project managers, construction teams, and operations staff to find automation opportunities that aren't on anyone's roadmap yet Understand the Facilities tech stack well enough to identify where AI can eliminate friction and reduce costs Document solutions, create reusable templates, and contribute to internal playbooks and how-to guides Collaborate & Deliver Value Partner with Facilities stakeholders to understand workflows, quantify inefficiencies, and prioritize automations with the highest operational ROI Translate operational needs into working prototypes and iterate based on user feedback until adoption sticks Help track and report the impact of deployed solutions — hours saved, errors reduced, costs avoided, scaling without new headcount Qualifications Required Qualifications & Skills 4+ years in a technical role — software development, product ownership, technical program management, or similar Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field; OR equivalent practical, hands-on experience in lieu of a degree Demonstrated experience building with AI-assisted coding tools (Cursor, Codex, Claude Code, or equivalent) Working knowledge of prompt engineering, AI agent design, and LLM application development Strong foundational knowledge of Agile methodologies, version control (Git), code reviews, and secure deployment pipelines. Strong UI/UX instincts — can produce functional, clean interfaces without a design team Strong communication skills; equally comfortable in a whiteboard session with leadership or a working session with project teams Self-directed; thrives in ambiguous environments where the playbook doesn’t exist yet Preferred Qualifications Familiarity with large-scale construction, real estate, or capital programs Experience with enterprise AI tools like Glean or similar knowledge management platforms Exposure to MCP (Model Context Protocol) frameworks and multi-agent architectures Prior experience shipping internal tools in a non-engineering business unit Track record of upskilling peers or running internal training on new technologies #LI-Hybrid Pay Disclosure The salary range for this role is USD 98,500 - 130,480 for Georgia based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs. The successful candidate may be eligible for annual performance bonus and equity awards. We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com. You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee). This job is not expected to be closed any sooner than November 30, 2026. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at [email protected]. Candidate Data Privacy and Technology Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role. AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate. Participation in AI profile matching is entirely voluntary. If you prefer that your profile not be used in this process, you can opt out at any time. Opting out means your profile will be excluded from automated matching and will not be surfaced for additional roles through this system. Your current application remains active and will not be affected in any way. Please note that we are currently not accepting applications from third party application services.
Build & Deploy Build internal applications, AI agents, and workflow automations using LLM-assisted development tools (Cursor, Gemini, Claude, Glean, etc.) targeting specific Facilities pain points — manual reporting, data entry, schedule tracking, cost reconciliation — with a focus on quantifiable time and cost savings Stand up no-code and low-code solutions, maintainable by non-technical team members where speed and simplicity are prioritized over engineering complexity Connect Facilities data sources (ACC, Procore, Kahua, FOS, Databricks) via APIs to support intelligent workflows that unify siloed information Own the Full SDLC by applying traditional product development rigor to AI-generated code. You will manage sprint cycles, define technical requirements in Jira, and oversee the end-to-end lifecycle of the tools you build. Conduct code reviews on peer-built AI tools and own enhancement of deployed solutions based on user feedback and evolving business needs Learn the Business Rapidly build working knowledge of Facilities operations — how capital projects are planned, budgeted, tracked, and delivered — by shadowing project managers, construction teams, and operations staff to find automation opportunities that aren't on anyone's roadmap yet Understand the Facilities tech stack well enough to identify where AI can eliminate friction and reduce costs Document solutions, create reusable templates, and contribute to internal playbooks and how-to guides Collaborate & Deliver Value Partner with Facilities stakeholders to understand workflows, quantify inefficiencies, and prioritize automations with the highest operational ROI Translate operational needs into working prototypes and iterate based on user feedback until adoption sticks Help track and report the impact of deployed solutions — hours saved, errors reduced, costs avoided, scaling without new headcount
Required Qualifications & Skills 4+ years in a technical role — software development, product ownership, technical program management, or similar Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field; OR equivalent practical, hands-on experience in lieu of a degree Demonstrated experience building with AI-assisted coding tools (Cursor, Codex, Claude Code, or equivalent) Working knowledge of prompt engineering, AI agent design, and LLM application development Strong foundational knowledge of Agile methodologies, version control (Git), code reviews, and secure deployment pipelines. Strong UI/UX instincts — can produce functional, clean interfaces without a design team Strong communication skills; equally comfortable in a whiteboard session with leadership or a working session with project teams Self-directed; thrives in ambiguous environments where the playbook doesn’t exist yet Preferred Qualifications Familiarity with large-scale construction, real estate, or capital programs Experience with enterprise AI tools like Glean or similar knowledge management platforms Exposure to MCP (Model Context Protocol) frameworks and multi-agent architectures Prior experience shipping internal tools in a non-engineering business unit Track record of upskilling peers or running internal training on new technologies #LI-Hybrid
