Integrations Engineer
Role summary
Gradial is seeking an Integrations Engineer to join their enterprise MarTech integrations practice. This role involves designing and building production-ready integrations for complex enterprise environments, working with customers, product, and engineering teams. The engineer will own the full integration lifecycle, from API evaluation to production rollout, and contribute to reusable patterns. Key requirements include 5+ years of software engineering experience with a focus on integrations, strong API and integration pattern knowledge, and hands-on MarTech implementation experience. Familiarity with the MarTech ecosystem and operating in ambiguous environments is crucial. Preferred qualifications include experience with specific MarTech platforms and AI-native content operations.
Gradial helps marketers and creatives move from idea to execution faster. Our platform turns intent into action, automating website updates, design system migrations, and ongoing content optimization while preserving brand integrity across every touchpoint.
Backed by leading investors, we’re building software that adapts to the user, not the other way around. We move with urgency, operate with ownership, and solve hard problems from first principles. If you want to do ambitious work, take real responsibility, and help define the future of AI-native content operations, you’ll do your best work here.
The Role
Gradial is hiring an Integrations Engineer to expand our enterprise MarTech integrations practice. In this role, you will design and ship production-ready integrations across a wide range of marketing platforms, content systems, and customer data tools for complex enterprise environments.
You will work directly with customers, product, and engineering to turn messy real-world stacks into reliable connectors that help global brands operationalize AI-native content workflows. This role is ideal for a high-agency engineer who is comfortable moving between well-known platforms and custom internal systems, and who can bring structure to ambiguity without waiting for perfect requirements.
What You’ll Own
What We’re Looking For
Nice to Have
Compensation
The salary range for this position is $130,000 – $175,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs.
You'll thrive here if you...
What we offer
AI Literacy & Interviewing Tools
As an AI-first company, we prioritize AI literacy as a core competency in our hiring decisions. We’re excited by candidates who thoughtfully apply AI tools in their work, but during interviews we’re focused on you. This is your opportunity to show how you think, communicate, and solve problems. Over-reliance on AI-generated responses during the interview process (especially when it obscures your own voice) will result in disqualification. We want to understand your unique perspective and how you approach challenges, both with and without AI.
Privacy Policy
By submitting your application to Gradial, you acknowledge that any personal data you provide will be processed in accordance with our Privacy Policy. This includes the collection, use, and storage of your information for the purposes of evaluating your qualifications and communicating with you about your candidacy. We handle applicant data with care and in compliance with applicable data protection laws.
If you have any questions about how your information is used, please refer to our Privacy Policy or contact us directly.
Applicants who require reasonable accommodation to participate in the application or interview process should contact us at careers@gradial.com to request assistance.
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