Gradial Logo

Gradial

Principal Software Engineer

Reposted 27 Days Ago
Be an Early Applicant
In-Office
Seattle, WA, USA
160K-250K Annually
Senior level
In-Office
Seattle, WA, USA
160K-250K Annually
Senior level
Lead architecture and technical vision for AI-native systems that convert natural language into multi-step workflows. Design and scale LLM agents, real-time inference, memory and tool orchestration, and learning systems that evolve from usage data. Set engineering standards, mentor senior engineers, collaborate with product and design, and own ambiguous, end-to-end technical problems to ensure performance, reliability, and extensibility at scale.
The summary above was generated by AI

Gradial is the marketing operations system of work that helps marketers and creatives move from idea to execution faster. Our platform orchestrates across martech stacks, workflows, and people to automate marketing execution, cutting execution time, so marketers focus on the work only humans can do: shaping brands, understanding customers, and creating the work that moves people.

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 $190,000 – $240,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications.

What we offer
  • Performance-based annual bonus
  • Meaningful equity awards
  • Medical, dental & vision (fully covered for employees with 75% for dependents)
  • Fertility & family-planning support
  • 401k plan
  • Unlimited PTO
  • A beautiful Seattle office with a gym, sauna, and bike parking
  • Free lunch three days a week in our HQ
  • A front-row seat to building category-defining AI infrastructure
You'll thrive here if you
  • 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.
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.

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.

HQ

Gradial Seattle, Washington, USA Office

Seattle, WA, United States

Similar Jobs

2 Days Ago
Hybrid
216K-450K Annually
Expert/Leader
216K-450K Annually
Expert/Leader
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead the architecture and long-term roadmap for GM’s vehicle Core OS platform, including hypervisors, virtualization, safety partitioning, boot and secure boot, container runtimes, and workload orchestration. Define multi-OS platform interfaces across Linux, Android, and QNX; drive performance, reliability, and safety strategies; guide technology selection and supplier relationships; mentor senior engineers; and lead complex cross-functional investigations and architecture decisions.
Top Skills: AndroidArm SocAutomated TestingAutosarCi/CdContainersEmbedded LinuxGitGitGunyahKvm/ArmOtaPerformance ProfilingQnxSecure BootSoafeeType 1 HypervisorsVirtioVirtualizationWorkload OrchestrationXenYocto
5 Days Ago
In-Office or Remote
Seattle, WA, USA
174K-274K Annually
Expert/Leader
174K-274K Annually
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Provides technical leadership on complex software projects from design through launch, addressing architecture, reliability, security, testing, and observability at scale. Leads company-wide engineering initiatives, establishes technical standards, mentors engineers, and promotes engineering excellence. Requires extensive full-stack development experience, strong communication, systems engineering expertise, customer-focused decision-making, and familiarity with A/B testing.
Top Skills: JavaJavaScriptNode.jsReactScala
5 Days Ago
In-Office or Remote
Seattle, WA, USA
174K-274K Annually
Expert/Leader
174K-274K Annually
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Leads complex software engineering initiatives from technical design through launch, provides architectural and technical leadership, drives engineering standards, mentors engineers, and collaborates across teams on company-wide projects. Requires deep experience building and operating scalable systems with strong testing, reliability, security, and observability practices, plus full-stack development expertise and familiarity with A/B testing.
Top Skills: JavaJavaScriptNode.jsReactScala

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account