Software Engineer

As a Software Engineer at Gradial, you'll work directly with our CPO to prototype, build and launch entirely new AI-powered products, with an initial focus on paid media integrations. You'll operate at the frontier of applied AI, developing scalable software solutions for some of the world's largest companies, including T-Mobile and Amazon.

We're looking for a scrappy, high-agency engineer who thrives in ambiguity, moves quickly and takes ownership from concept to deployment. You'll play a critical role in exploring new product opportunities, solving complex technical challenges and building the systems and capabilities that shape what Gradial delivers next.

• Own the end-to-end development of new AI-powered applications and services, from early prototypes to production deployment.
• Partner directly with the CPO to explore, prototype and validate new product opportunities, translating ambitious ideas into working software.
• Design, build and deploy integrations across paid media systems, enabling new capabilities and workflows for enterprise customers.
• Develop rapid prototypes to test technical approaches, gather feedback and turn promising concepts into scalable solutions.
• Drive technical decisions across the stack, balancing speed, reliability, scalability and performance.
• Collaborate with engineering, product and AI research teams to integrate emerging AI capabilities into production-ready applications.
• Navigate complex APIs, external systems and technical challenges to build reliable, high-quality integrations.
• Take ownership of ambiguous engineering problems with minimal direction, identifying solutions and moving quickly to deliver results.

• Exceptional technical ability and a demonstrated track record of building and shipping software, regardless of years of professional experience.
• Strong software engineering fundamentals and the ability to design, develop and deploy solutions across the stack.
• Experience working with APIs, integrating external services and building reliable connections between systems.
• A bias toward action, with the ability to move from an ambiguous technical problem to a working solution quickly.
• A scrappy, resourceful approach to engineering challenges and a willingness to figure things out independently.
• High agency and a strong sense of ownership, with the ability to make technical decisions and execute without extensive direction.
• Genuine curiosity about AI and excitement for building software that pushes the boundaries of what's possible.
• Evidence of exceptional ability through projects, applications or other software you've built. 

• Familiarity with paid media technologies, advertising workflows or marketing technology integrations.
• Experience building applications with LLMs, AI agents or other emerging AI technologies.
• Experience building and launching software from the ground up, whether through personal projects, startups or professional work

• Learn quickly, actively seek out new challenges, and regularly reconsider “how it’s always been done.”
• Want to have real impact with zero bureaucracy.
• Have an innate drive for being 1% better than the day before, building towards greatness.
• Embrace AI as a core tool for problem-solving, innovation, and scale.
• Show customer-obsession (internal or external), high ownership/accountability, and bias for action.
• Communicate clearly, directly, with curiosity, and assuming good intentions.
• Thrive in fast-paced, hyper-growth environments where building better > maintaining status quo.

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.

Gradial is dedicated to creating an environment where diverse perspectives are valued and all team members can grow. We offer competitive compensation, equity, flexible work hours, comprehensive benefits, and a collaborative culture focused on learning and impact.