À propos de ce poste Senior Software Engineer chez Gradial
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 looking for a Senior Software Engineer to lead the development of AI-native systems that redefine how creative teams build and update websites. As an early engineer, you’ll be integral to figuring out how to use and program LLMs to redefine how people do work.
You’ll play a key role in shaping our technical direction, working closely with product and design to bring powerful, intuitive tools to life. This is an opportunity to help architect the foundation of a fast-moving product and contribute to a high-agency, low-ego team focused on real-world impact.
What You'll Own
- Lead the design and implementation of systems that convert natural language into intelligent, multi-step workflows using generative AI
- Architect and scale an LLM agent for real-time inference, dynamic prompting, and tool orchestration
- Drive technical direction across the stack - from backend systems to front-end UX—with a focus on performance, scalability, and long-term maintainability
- Design systems that learn over time - integrating customer feedback, usage data, and brand preferences
- Mentor and guide other engineers; influence engineering culture, standards, and best practices
- Collaborate with design and product to reshape the software in real-time; adding/removing features or adjusting layout on the fly
- Ensure scalability, reliability and performance through strong testing, deployment, and observability practices
- Operate without silos: own the problem and the solution from end to end
What We're Looking For
- 5+ years of professional experience
- Proven experience delivering complex systems in fast-paced or ambiguous environments
- Deep technical expertise in algorithms, distributed systems, and software design
- Strong communication skills and the ability to influence across functions
- Experience solving high-variance or unstructured problems with elegant, product-minded solutions
- Background in math, physics, systems engineering, or other technical domains
- High ownership mindset with a track record of going from 0→1
Nice to Have
- Experience in high-growth or early-stage startups
- Familiarity with AI/ML tooling and LLMs
- Proficiency with TypeScript or similar languages
Compensation
The salary range for this position is $130,000 – $220,000 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...
- Embrace AI as a core tool for problem-solving, creativity and scale.
- Show a strong work ethic, high ownership and bias toward action.
- Communicate with clarity and curiosity.
- Thrive in fast-paced, hyper-growth environments; where building is always better than maintaining the status quo.
What we offer
- Meaningful equity and competitive salary
- Comprehensive health, dental and vision coverage
- Fast-paced environment with autonomy and ownership
- Real impact, zero bureaucracy
- A front-row seat to building category-defining AI infrastructure
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.
