The opportunity

Front-row seat to the biggest infrastructure shift in decades

Durable runtimes are becoming a foundational component of modern software infrastructure — particularly for AI applications. As systems become increasingly agentic, long-running, integration-heavy, and failure-prone, durable execution turns reliability from a bespoke engineering tax into a default property.

Restate (restate.dev) is helping define this category.

As our first Product Marketing hire, you'll work directly with the founders and early team to shape how developers, platform teams, and AI-native companies understand durable execution and where Restate fits within the emerging AI infrastructure stack.

This is a rare opportunity to define the narrative for a category before the market consensus exists.

Own the narrative for an emerging category

Most developers still think of durable execution as workflow tooling or orchestration infrastructure.

The reality is much larger.

Durable execution is rapidly becoming a foundational primitive for AI agents, long-running processes, human-in-the-loop systems, and integration-heavy applications. The language, positioning, and mental models around this shift are still being written.

You'll help write them.

State-of-the-art technology built from first principles

Restate re-imagines durable execution as a lightweight, self-contained runtime that eliminates much of the operational complexity traditionally associated with workflow systems.

A single Rust binary, custom storage engine, low-latency orchestration layer, and integrated observability stack allow developers to build resilient applications without introducing additional infrastructure dependencies.

Enterprise traction and AI-native momentum

Restate is already powering critical production workloads at Fortune 500 enterprises, including Tier 1 financial institutions, while simultaneously gaining traction among AI-native startups building the next generation of agentic systems.

You'll work at the intersection of reliability engineering, developer infrastructure, and AI systems — where correctness, durability, and operational simplicity are existential requirements rather than optimizations.

What you'll do

You'll own product marketing end-to-end with a center of gravity around AI infrastructure and AI-native applications.

Responsibilities include:

• Define and own positioning, messaging, and category narratives across durable execution, AI agents, orchestration, and long-running AI systems.
• Develop competitive positioning that holds up in technical evaluations and enterprise procurement processes.
• Own launches and major product moments end-to-end across cloud, open-source, and enterprise offerings.
• Translate customer success into compelling case studies, technical narratives, and proof points that resonate with both builders and buyers.
• Partner with founders and product leadership on packaging, pricing, and go-to-market strategy across Cloud, self-hosted, and BYOC offerings.
• Create sales and community enablement material including technical content, battlecards, presentations, briefs, and objection handling.
• Ensure messaging consistency across product, engineering, developer relations, and founder-led channels.
• Act as the voice of the market by synthesizing customer feedback, competitive intelligence, and win/loss analysis into product and company strategy.

What we're looking for

Strong product marketing fundamentals

You've owned positioning and messaging for technical products and can demonstrate measurable impact from your work.

Technical credibility

You can discuss AI infrastructure, agents, orchestration, and distributed systems in a way that resonates with engineers building production systems.

Exceptional communication skills

You can distill complex technical concepts into narratives that are clear, memorable, and commercially effective.

Launch experience

You've taken products or major features to market and understand how to create momentum around technical products.

AI fluency

You actively use AI to improve your own workflows and understand how AI is reshaping discovery, evaluation, and buying behavior across developer audiences.

Builder mindset

We're less interested in specific titles than in demonstrated capability. Strong candidates may come from infrastructure companies, developer tooling businesses, open source ecosystems, or adjacent technical markets.

Location and travel

• US-based and fully remote.
• San Francisco Bay Area strongly preferred.
• Expect approximately 15–25% travel for conferences, customer meetings, team off-sites, and community events.