Clarify
AI-native CRM
StaffSoftwareEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Staff Software Engineer at Clarify. Skills: building distributed systems, platform infrastructure, Postgres at scale, event streaming, queue systems, TypeScript, Node.js, AI/ML infrastructure. Build core platform systems: data pipelines, integration framework, API infrastructure, and developer tooling. Design scalable data models and storage strategies for complex CRM workflows and AI capabilities”
Industry & Context.
What They're Looking For.
Must Have
10+ years building distributed systems and platform infrastructure, Deep expertise with Postgres at scale (schema design, query optimization, migrations under load), event streaming (Kafka), queue systems (BullMQ or similar), TypeScript, Node.js, React/Next.js, Experience building developer-facing surfaces: public APIs, SDKs, or developer tooling, Pragmatic technical decision-making: balancing technical excellence with business impact, operational instincts: monitoring, alerting, debugging, and incident response, Excellent communication—translate complex technical concepts for various audiences
Nice to Have
Startup experience preferred—you've built 0-to-1 products or scaled through hypergrowth, Experience with AI/ML infrastructure, LLM APIs, or vector databases, Open source contributions or technical writing demonstrating expertise
What You'll Do.
Build core platform systems: data pipelines
integration framework
and developer tooling
Design scalable data models and storage strategies for complex CRM workflows and AI capabilities
Establish observability
and performance standards as we scale to thousands of customers
Create platform standards: API patterns
and deployment practices
Own critical technical decisions: infrastructure choices
architectural patterns
and technology selection
Partner with founders on technical strategy
balancing innovation with pragmatic execution
How You'll Work.
Team & Collaboration
Partner with founders on technical strategy
Communication Scope
Excellent communication—translate complex technical concepts for various audiences
Full Job Description
LOCATION: SEATTLE STRONGLY PREFERRED, EXCEPTIONAL REMOTE CANDIDATES TO BE CONSIDERED ON A CASE BY CASE BASIS ABOUT CLARIFY Clarify is building the AI-native CRM — a platform designed from the ground up for how modern go-to-market teams actually work. We raised $22.5M and assembled a team of ~25 people who believe the CRM category is overdue for a complete rethink: less manual data entry, smarter automation, and AI that actually understands your pipeline. We're early and moving fast. The foundational decisions you make here will shape how the product scales. ABOUT THE ROLE You'll join Clarify as a Staff Software Engineer, building the foundational systems that power our AI-native CRM. You'll work directly with founders to architect critical infrastructure—from data pipelines and integration frameworks to developer tooling and system reliability. This is a role for someone who has built scalable platforms and is excited to establish best practices from the ground up with modern tooling and AI-first principles. WHAT YOU’LL DO As a Staff engineer, you'll flex across many of these areas over time. Where you start depends on your strengths and where Clarify needs you most, but expect your scope to evolve as the platform and team grow: - Build core platform systems: data pipelines, integration framework, API infrastructure, and developer tooling. - Design scalable data models and storage strategies for complex CRM workflows and AI capabilities. - Establish observability, monitoring, and performance standards as we scale to thousands of customers. - Create platform standards: API patterns, service design, testing frameworks, and deployment practices. - Own critical technical decisions: infrastructure choices, architectural patterns, and technology selection. - Partner with founders on technical strategy, balancing innovation with pragmatic execution. YOUR BACKGROUND - 10+ years building distributed systems and platform infrastructure. - Deep expertise with Postgres at scale
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