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Postscript is the AI messaging platform trusted by 20,000+ Shopify brands — including Brooklinen, Ruggable, True Classic, and Dr. Squatch. With a mission to make SMS your number one revenue driving channel, we built the best-in-class SMS marketing platform and launched revenue-driving AI features not available on any other platform. And we're just getting started. Backed by Greylock and Y Combinator, fully remote since 2018. As a Senior Fullstack Engineer at Postscript, you'll be a high-ownership contributor to one of our core product or platform teams — owning meaningful systems end-to-end, driving technical quality, and helping shape how we build across the organization. Our engineering teams operate at the intersection of scale and product velocity, which means you'll be working on distributed systems that matter to the business while also influencing the technical standards that allow Postscript to grow sustainably. This is a high-autonomy role for engineers who are energized by ambiguity, take genuine ownership of their work, and bring a strong point of view on how to build things well — without sacrificing speed or pragmatism. AI isn't a nice-to-have here — it's central to how we work. We expect our engineers to be active practitioners of AI-first development: fluent with the latest agentic coding tools, curious about what's emerging, and constantly pushing the boundary of what's possible with AI in their day-to-day craft. If you're the kind of engineer who's already experimenting with new models and tooling before anyone asks you to, you'll feel at home here. As a senior engineer at Postscript, you'll no longer be only writing code but orchestrating it.
Job Responsibility
Take deep ownership of systems and product areas on your team
Independently investigate, design, and execute solutions across distributed systems with a high degree of ambiguity
Architect, build, and maintain highly available, scalable REST APIs and backend services for internal and external use
Drive system decoupling, modularization, and technical debt reduction
Build agentically as your default: run multiple autonomous agents and worktrees in parallel
Stay at the forefront of emerging AI tooling and practices
Contribute to how we think about integrating AI into our systems and workflows
Collaborate cross-functionally with product, data, and go-to-market teams
Identify and eliminate single points of failure
Improve how engineering gets done
Requirements
6+ years of experience building large-scale backend systems and APIs
Active, daily user of AI coding tools (Claude Code, Cursor, Copilot, or equivalent)
Tech stack: Python, Go, React, and TypeScript
Experience with Kubernetes, AWS, Datadog, and relational/NoSQL databases
Follow AI tooling landscape closely
Think critically about AI output
Ability to context switch quickly across concurrent workstreams
Experience working on both 0-to-1 initiatives and complex existing systems
Strong command of relational and NoSQL databases, SQL, and thoughtful database modeling
Familiarity building and observing applications on AWS, and ideally with Datadog or comparable observability tooling
Clear, direct communication
Strong instincts for technical tradeoffs informed by both engineering best practices and business priorities
What we offer
Salary range of USD $175,000–$205,000 base plus significant equity
Work from home (or wherever)
Fun — we're passionate and enjoy what we do
Competitive compensation and opportunity for equity