Summary
✨ AI‑Generated
Join a high-impact backend engineering team tackling complex, ambiguous problems across a modern software platform. You will own critical systems end to end, drive architecture and production delivery, and help shape automation-oriented, AI-native technology.
Highlights
Take ownership of some of the most complex and ambiguous technical problems, from loosely defined requirements through architecture and production. The role offers substantial autonomy, ownership, and the chance to shape AI-native software systems.
Description
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 looking for a Staff Software Engineer, Backend to take on some of the largest, most complex and ambiguous technical problems across our product.
You’ll own critical systems from loosely defined problem through architecture and production, building the backend foundations that enable Gradial to deliver increasingly powerful AI-driven workflows.
This is a highly hands-on IC role.
You’ll write production code, make consequential architectural decisions and create clarity where the path forward is not obvious.
You’ll work closely with engineering, product and design to turn ambitious ideas into reliable systems while raising the technical bar across the engineering team.
What You’ll Own
Lead large, complex technical projects from ambiguous problem definition through architecture, implementation and productionArchitect and build backend systems that power AI-driven workflows, including real-time inference, tool orchestration and long-running processesDrive technical direction for critical systems with a focus on scalability, reliability, performance and long-term maintainabilityTurn loosely defined product and technical problems into clear plans, making pragmatic decisions and driving execution without requiring a predefined pathBuild new systems from 0→1 while evolving existing architecture as our product, customers and engineering organization scaleEstablish patterns and abstractions that simplify complex systems and make the broader engineering team more effectivePartner closely with product and design to shape solutions, identify technical opportunities and make thoughtful tradeoffsRaise the engineering bar through technical leadership, architecture, code reviews and mentorship while remaining deeply involved in implementationOwn systems end to end, including testing, deployment, observability, reliability and ongoing operation in production
What We Need
8+ years of professional software engineering experience with significant experience building and operating backend systemsProven ability to independently lead large, technically complex projects in fast-moving or ambiguous environmentsDeep technical expertise in software architecture, distributed systems, algorithms and system designTrack record of taking products or systems from 0→1 and making sound architectural decisions with incomplete informationAbility to break down vague, high-variance problems into clear technical approaches and drive them through executionStrong product judgment and the ability to balance technical quality, speed and customer impactExperience designing systems for scalability, reliability, performance and maintainability in productionStrong communication skills with the ability to influence technical decisions and align engineers and cross-functional partnersHigh ownership mindset with a willingness to work across boundaries and own both the problem and the solution
Nice to Have
Experience building products or infrastructure involving AI/ML systems, LLMs or agentic workflowsExperience in high-growth or early-stage startups where technical scope and priorities change quicklyProficiency with TypeScript or similar languages
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.
What We Offer
Performance-based annual bonusMeaningful equity awardsMedical, dental & vision (fully covered for employees with 75% for dependents)Fertility & family-planning support401k planUnlimited PTOA beautiful Seattle office with a gym, sauna, and bike parkingFree lunch three days a week in our HQA 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.