Gradial
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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
We’re hiring a Senior Forward Deployed Engineer to lead implementations of our AI platform directly with customers. This role is ideal for an experienced technically fluent builder who thrives at the intersection of engineering and problem solving; someone who wants to be hands-on with code while shaping how some of the world’s most recognizable brands modernize their content operations.
As a Senior FDE, you’ll own full-stack development for enterprise deployments, working side-by-side with customers to map complex workflows into scalable generative systems. You’ll move between discovery, prototyping, implementation, and post-launch optimization - translating real-world pain points into elegant technical solutions.
What You'll Own
- Lead technical discovery and implementation for new enterprise customers, translating nuanced business processes into robust AI-native solutions.
- Build, deploy and optimize features that integrate customer systems with Gradial’s LLM driven platform.
- Develop reusable tools, adapters and configuration layers to support scalable enterprise onboarding.
- Collaborate with customer stakeholders (mainly within marketing, operations and engineering) to define requirements, surface edge cases and iterate in real time.
- Work closely with Gradial’s product and engineer teams to incorporate learnings from the field into our core roadmap.
- Contribute to internal technical documentation and implementation playbooks that accelerate future deployments.
- Own performance, reliability and maintainability for the solutions you ship, from backend architecture to customer UX.
What We're Looking For
- 5+ years of software engineering or technical implementation experience, ideally in customer-facing contexts.
- Experienced in programming languages such as TypeScript or similar, with a strong understanding of APIs and systems integration.
- Ability to rapidly understand unfamiliar technical ecosystems (CMS, DAM, workflow tools) and build integration paths.
- Excellent communication skills. Confident translating for both technical and non-technical stakeholders.
- High ownership mindset with comfort operating independently, navigating ambiguity.
- Demonstrated experience working with enterprise customers; particularly in content, marketing or digital operations.
- Experience with LLMs, generative AI pipelines and agent-style automation frameworks.
- Prior consulting, technical solution engineering or internal tools engineering experience.
- Willingness to travel occasionally (<10%) for customer discovery, deployment and relationship building.
Compensation
The salary range for this position is $130,000 – $210,000 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.
Ready to apply?
Apply to 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
We’re hiring a Forward Deployed Engineer to lead implementations of our AI platform directly with customers. This role is ideal for a technically fluent builder who thrives at the intersection of engineering and problem solving; someone who wants to be hands-on with code while shaping how some of the world’s most recognizable brands modernize their content operations.
As an FDE, you’ll own full-stack development for enterprise deployments, working side-by-side with customers to map complex workflows into scalable generative systems. You’ll move between discovery, prototyping, implementation, and post-launch optimization - translating real-world pain points into elegant technical solutions.
What You'll Own
- Lead technical discovery and implementation for new enterprise customers, translating nuanced business processes into robust AI-native solutions.
- Build, deploy and optimize features that integrate customer systems with Gradial’s LLM driven platform.
- Develop reusable tools, adapters and configuration layers to support scalable enterprise onboarding.
- Collaborate with customer stakeholders (mainly within marketing, operations and engineering) to define requirements, surface edge cases and iterate in real time.
- Work closely with Gradial’s product and engineer teams to incorporate learnings from the field into our core roadmap.
- Contribute to internal technical documentation and implementation playbooks that accelerate future deployments.
- Own performance, reliability and maintainability for the solutions you ship, from backend architecture to customer UX.
What We're Looking For
- 3+ years of software engineering or technical implementation experience, ideally in customer-facing contexts.
- Proficiency in programming languages such as TypeScript or similar, with a strong understanding of APIs and systems integration.
- Ability to rapidly understand unfamiliar technical ecosystems (CMS, DAM, workflow tools) and build integration paths.
- Excellent communication skills. Confident translating for both technical and non-technical stakeholders.
- High ownership mindset with comfort operating independently, navigating ambiguity.
- Willingness to travel occasionally (<10%) for customer discovery, deployment and relationship building.
Nice to Have
- Experience working with enterprise customers; particularly in content, marketing or digital operations.
- Familiarity with LLMs, generative AI pipelines and agent-style automation frameworks.
- Background in consulting, technical solution engineering or internal tools engineering.
Compensation
The salary range for this position is $130,000 – $210,000 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.
Ready to apply?
Apply to 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 hiring a Senior 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
- Architect, build, and maintain integrations across ESPs, CDPs, marketing automation platforms, CMSs, DAMs, and adjacent MarTech systems
- Lead technical discovery with enterprise customers to understand system landscapes, define integration requirements, and shape practical delivery plans
- Translate custom or poorly documented environments into clean, scalable integration designs with clear technical documentation
- Own the full integration lifecycle, including API evaluation, authentication flows, data mapping, sync logic, testing, monitoring, and production rollout
- Partner with product and platform engineering to ensure integrations are resilient, observable, and performant at enterprise scale
- Contribute reusable patterns, shared libraries, and connector framework improvements that accelerate support for future platforms
- Serve as a trusted technical partner for customer stakeholders, connecting business requirements to sound engineering decisions
- Identify edge cases, platform constraints, and implementation risks early, then drive pragmatic solutions through delivery
What We’re Looking For
- 5+ years of software engineering experience, with meaningful time spent building and shipping external system integrations in production
- Strong experience working across APIs and integration patterns, including REST, webhooks, OAuth, pagination, rate limiting, retries, and error handling
- Hands-on experience delivering MarTech implementations or integrations for enterprise customers, ideally in an agency, systems integrator, or customer-facing SaaS environment
- Broad familiarity with the MarTech ecosystem, including customer engagement platforms, customer data tools, content systems, analytics platforms, and workflow automation tools
- Ability to operate effectively in ambiguous enterprise environments where requirements evolve, documentation is incomplete, and systems are heavily customized
- Strong communication skills with the ability to work directly with technical and non-technical stakeholders and explain tradeoffs clearly
- Proven ownership mindset with a track record of driving projects end to end and making progress without heavy process or detailed specs
- Solid engineering judgment around maintainability, reliability, testing, and production readiness
Nice to Have
- Experience working with enterprise customers in industries such as retail, financial services, or healthcare
- Familiarity with AI-native content operations, automation workflows, or systems that support content generation and publishing at scale
- Experience with platforms such as Braze, Salesforce Marketing Cloud, Adobe Experience Platform, Contentful, AEM, or other large-scale enterprise content and marketing systems
Compensation
The salary range for this position is $150,000 – $185,000 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.
Ready to apply?
Apply to 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
As Forward Deployed Engineering Lead at Gradial, you will lead a team deploying our platform in complex enterprise environments. This is a hands-on leadership role for someone who can manage engineers, drive delivery, and go deep technically when needed. You will sit at the intersection of customer complexity, product insight, and execution quality, helping the team deliver exceptional outcomes while shaping how Gradial scales in the field.
You’ll own strategic deployments across Gradial’s platform, lead custom projects for key enterprise customers, and support rollout of new capabilities in real-world environments. You’ll partner closely with Engineering, Forward Deployed Product Managers, and GTM to solve hard problems quickly, turn field learnings into product leverage, and ensure our most important customer work is executed with speed, rigor, and sound judgment.
This role is for a leader who has strong technical instincts, knows how to push hard for customers without creating internal chaos, and can raise the bar for a team working at the edge of product and deployment.
What You’ll Own
- Lead and develop a team of Forward Deployed Engineers, setting a high bar for execution, judgment, and ownership
- Own delivery across strategic enterprise deployments, custom implementations, and new feature rollouts
- Stay hands-on in solution design, scoping, architecture, debugging, and implementation when needed
- Partner with Engineering and Forward Deployed Product Managers to turn customer complexity into scalable systems, product improvements, and repeatable delivery patterns
- Work directly with enterprise stakeholders to clarify requirements, navigate ambiguity, unblock decisions, and drive outcomes
- Improve team operations across planning, prioritization, communication, and delivery quality without slowing pace
- Collaborate with GTM on strategic accounts to shape solutions that are technically credible and commercially effective
- Identify patterns across customer work and turn them into playbooks, reusable components, and stronger execution models
- Help the team balance speed and quality in high-stakes environments with evolving requirements
- Act as a force multiplier across customers, product, and engineering by bringing clarity to messy problems and momentum to critical work
What We Need
- 5+ years of experience in software engineering, technical delivery, solutions engineering, forward deployed work, or similar customer-facing technical roles
- Experience directly managing technical teams in fast-moving, high-accountability environments
- Strong technical fluency and the ability to stay hands-on with implementation and problem-solving
- Proven success delivering complex work for enterprise customers in ambiguous, evolving environments
- Strong cross-functional leadership skills across Engineering, Product, GTM, and customer stakeholders
- Excellent customer-facing communication and the ability to build trust with technical and non-technical audiences
- High autonomy, strong judgment, and a bias for action
- Experience improving team operations, delivery rigor, and execution quality at scale
- Comfort operating across a full platform surface area, including custom projects, enterprise rollouts, and highly visible customer work
- Strong AI tooling experience and fluency with modern AI-native workflows, products, or implementation patterns
Nice to Have
- Experience in enterprise SaaS delivery, technical consulting, or systems integrator environments
- Experience in MarTech, CMS, DAM, content operations, digital experience, or workflow-heavy enterprise environments
- Familiarity with deploying AI-powered workflows into production customer environments and turning bespoke work into reusable product leverage
The salary range for this position is $180,000 - $235,000 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 and vision insurance, 401(k), 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.
Ready to apply?
Apply to 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.
Ready to apply?
Apply to 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
As a Senior Infrastructure Engineer at Gradial, you will architect and evolve the systems that power our AI-driven content operations platform. This role is ideal for someone who thrives in startup-to-scale up environments and brings a deep understanding of how to make infrastructure reliable, secure, and scalable.
You’ll play a critical role in building on our core systems, supporting rapid product iteration and ensuring the platform is built for growth. If you’ve owned infrastructure in production, guided system evolution, and want to shape the future AI, we’d love to meet you.
What You'll Own
- Design and maintain scalable, secure, and resilient infrastructure to support Gradial’s AI platform.
- Lead Kubernetes cluster management, CI/CD pipelines, observability tooling, and infrastructure-as-code efforts.
- Anticipate scaling needs and proactively evolve infrastructure architecture to support growth and reliability.
- Take full ownership of real-time, compute-intensive services: designing, deploying and maintaining to meet high performance standards with minimal oversight.
- Establish and enforce best practices for system reliability, performance monitoring, and disaster recovery.
- Evaluate and implement infrastructure automation tools to improve deployment velocity and reduce operational burden.
- Act as a strategic voice on infrastructure investment, technical debt management, and long-term scalability planning.
What We're Looking For
- 5+ years of experience in DevOps, SRE or platform engineering roles.
- Proven track record designing and operating large-scale, production-grade infrastructure.
- Deep expertise in Kubernetes, cloud-native architecture, and container orchestration.
- Proficiency with infrastructure-as-code (e.g., Terraform, GitOps ), CI/CD tooling, and monitoring stacks (e.g., Prometheus, Grafana).
- Experience in high-growth environments, especially scaling infrastructure from early product-market fit to maturity.
- Strong communication skills and a collaborative, ownership-driven mindset.
Nice to Have
- Familiarity with AI/ML infrastructure, including GPU provisioning and model deployment.
- Prior experience supporting cloud or multi-cloud architectures.
- Comfort with TypeScript or Python to support tooling and operational scripts.
Compensation
The salary range for this position is $130,000 – $200,000 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.
Ready to apply?
Apply to 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 seeking a Principal Software Engineer to drive the architecture and technical vision behind AI-native systems that transform how creative teams build and update websites. As a foundational technical leader, you’ll push the boundaries of how LLMs can power real-world workflows and reimagine the intersection of language, software, and creativity.
You’ll work closely with engineering, product, and design leaders to shape not just features, but the technical backbone and strategic direction of the company. This is a rare opportunity to set the blueprint for a fast-evolving product in a high-agency, low-ego environment committed to solving hard problems from first principles.
What You'll Own
- Define and drive the technical architecture for systems that convert natural language into intelligent, multi-step workflows using generative AI.
- Lead the design, implementation, and scaling of LLM agents for real-time inference, dynamic prompting, memory management, and tool orchestration.
- Set engineering standards and influence system design across the stack, with a focus on performance, reliability, and long-term extensibility.
- Design learning systems that integrate customer feedback, usage data, and brand preferences to evolve autonomously over time.
- Mentor senior engineers, fostering a culture of technical excellence, rapid iteration, and ownership.
- Collaborate deeply with product and design leaders to rethink how interfaces and features dynamically adapt to user intent.
- Champion best practices in testing, observability, deployment, and operational excellence to ensure system health at scale.
- Own critical, ambiguous problem spaces from end to end, advocating for technical and product innovation.
What We're Looking For
- 8+ years of professional software engineering experience, including significant leadership of complex technical initiatives.
- Deep expertise in distributed systems, algorithms, and scalable software design.
- Proven track record architecting and shipping systems in fast-moving, high-ambiguity environments.
- Hands-on experience with LLM integration, generative AI frameworks, or building AI-native applications.
- Strong communication and cross-functional leadership skills, with the ability to influence technical and non-technical audiences.
- High-agency, ownership-driven mindset with a passion for solving real-world problems at scale.
- Background in technical fields such as computer science, mathematics, physics, or systems engineering.
Nice to Have
- Experience building or scaling AI agent architectures for production environments.
- Prior experience in early-stage startups where you owned both strategy and execution.
- Passion for designing systems that blend technical sophistication with elegant, intuitive user experiences.
Compensation
The salary range for this position is $160,000 – $250,000 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.
Ready to apply?
Apply to 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
We’re looking for an Applied AI Engineer to help build the next generation of agentic systems. This role combines deep software engineering skills with an experimental mindset around how AI can be practically applied to solve real user problems.
You’ll collaborate across product, research, and engineering to design agents that reason, interact with environments and evolve through feedback. Ideal candidates bring curiosity, a love of ambiguous problems, and hands-on experience applying LLMs in production.
What You'll Own
- Build autonomous and semi-autonomous agent workflows that interact with browsers, codebases, and APIs to complete complex content operations.
- Evaluate model behavior in live environments and pioneer approaches for applying reinforcement learning to end-to-end agent systems.
- Design modular frameworks for tools, memory, and evaluators to enable continuous learning and improvement of agents.
- Develop data pipelines to collect, transform, and annotate real-world usage data for SFT and RL training.
- Design and build proprietary agent libraries, prompting strategies and benchmarking frameworks.
- Partner with customers and internal stakeholders to understand edge cases and align AI behaviors with user expectations.
What We're Looking For
- 4+ years of software engineering experience, with at least a year working directly on AI/ML-powered applications.
- Strong fluency in AI tooling (e.g. OpenAI APIs, Anthropic APIs).
- Practical understanding of LLMs, prompt engineering and agentic architectures.
- Experience building production systems that integrate external environments - code execution, browser automation or API orchestration.
- High degree of ownership and comfort in experimental, fast-moving environments.
Nice to Have
- Familiarity with benchmarks like SWE-bench or evaluation strategies for tool-using agents.
- Exposure to customer-facing roles or user research for AI product development.
- Background in reinforcement learning or data-centric AI approaches.
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.
Ready to apply?
Apply to 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
As a Principal Platform Engineer at Gradial, you will shape the foundation our platform runs on as we scale. You will work closely with the CTO and engineering team to make our systems faster, more resilient, and easier to operate in a high-growth environment. This is a hands-on individual contributor leadership role for someone who wants real ownership, high leverage, and the opportunity to define how platform reliability looks at an AI-native company.
What You’ll Own
- Own the reliability, scalability, and operational health of Gradial’s production platform.
- Lead the evolution of Kubernetes, CI/CD, observability, and infrastructure as code across the stack.
- Set the standard for how we design, ship, and operate reliable systems.
- Build the tooling and automation that help engineers move faster with more confidence.
- Drive improvements in monitoring, alerting, incident response, and service readiness.
- Partner with engineering to identify scaling risks early and solve them before they slow us down.
- Influence the long-term direction of our platform across reliability, security, performance, and cost.
What We’re Looking For
- 5+ years of experience in platform engineering, infrastructure, SRE, DevOps, or related roles with direct ownership of production systems.
- Proven success designing and operating production-grade infrastructure in fast-moving, high-growth environments.
- Deep expertise in Kubernetes, cloud-native architecture, and container orchestration.
- Strong experience with infrastructure as code, GitOps, CI/CD workflows, and modern deployment practices.
- Strong command of observability and reliability fundamentals across metrics, logging, tracing, alerting, and incident response.
- A track record of leading through influence, making sound technical decisions, and raising the bar across engineering teams.
Nice to Have
- Familiarity with AI or ML infrastructure, including GPU provisioning, model deployment, or compute-intensive workloads.
- Experience supporting cloud or multi-cloud environments with a focus on resilience and scale.
- Comfort with TypeScript or Python for internal tooling and operational automation.
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.
Ready to apply?
Apply to 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
As a Principal Site Reliability Engineer at Gradial, you will shape the foundation our platform runs on as we scale. You will work closely with the CTO and engineering team to make our systems faster, more resilient, and easier to operate in a high-growth environment. This is a hands-on IC leadership role for someone who wants real ownership, high leverage, and the chance to define how reliability looks at an AI-native company.
What You’ll Own
- Own the reliability, scalability, and operational health of Gradial’s production platform.
- Lead the evolution of Kubernetes, CI/CD, observability, and infrastructure as code across the stack.
- Set the standard for how we design, ship, and operate reliable systems.
- Build the tooling and automation that help engineers move faster with more confidence.
- Drive improvements in monitoring, alerting, incident response, and service readiness.
- Partner with engineering to spot scaling risks early and solve them before they slow us down.
- Influence the long-term direction of our platform across reliability, security, performance, and cost.
What We’re Looking For
- 5+ years of experience in SRE, DevOps, platform engineering, or infrastructure roles with direct ownership of production systems.
- Proven success designing and operating production-grade infrastructure in fast-moving, high-growth environments.
- Deep expertise in Kubernetes, cloud-native architecture, and container orchestration.
- Strong experience with infrastructure as code, GitOps, CI/CD workflows, and modern deployment practices.
- Strong command of observability and reliability fundamentals across metrics, logging, tracing, alerting, and incident response.
- A track record of leading through influence, making sound technical decisions, and raising the bar across engineering teams.
Nice to Have
- Familiarity with AI or ML infrastructure, including GPU provisioning, model deployment, or compute-intensive workloads.
- Experience supporting cloud or multi-cloud environments with a focus on resilience and scale.
- Comfort with TypeScript or Python for internal tooling and operational automation.
The salary range for this position is $180,000 – $240,000 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.
Ready to apply?
Apply to Gradial