
11 - 50 employees
Founded 2019
🤝 B2B
☁️ SaaS
🤖 Artificial Intelligence
💰 $7.7M Seed Round on 2021-11
B2B • SaaS • Artificial Intelligence
Attio is an AI-native CRM platform designed for go-to-market (GTM) teams and B2B businesses. It combines a flexible, customizable data model with fast data sync (email, calendar, product and billing data), intelligent automations, AI-powered prospecting and lead routing, and real-time reporting to help revenue teams execute strategy at scale. Built as a SaaS product, Attio emphasizes speed, scalability, security (GDPR, CCPA, ISO), and integrations with common sales and data tools.
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11 - 50 employees
Founded 2019
🤝 B2B
☁️ SaaS
🤖 Artificial Intelligence
💰 $7.7M Seed Round on 2021-11
B2B • SaaS • Artificial Intelligence
Attio is an AI-native CRM platform designed for go-to-market (GTM) teams and B2B businesses. It combines a flexible, customizable data model with fast data sync (email, calendar, product and billing data), intelligent automations, AI-powered prospecting and lead routing, and real-time reporting to help revenue teams execute strategy at scale. Built as a SaaS product, Attio emphasizes speed, scalability, security (GDPR, CCPA, ISO), and integrations with common sales and data tools.
• Implement, maintain, and continuously improve the foundational platform infrastructure that powers all engineering services. • Build and maintain platform infrastructure using declarative IaC tools (e.g., Terraform, Pulumi). • Act as first-line responders for critical system incidents; triage, diagnose, and resolve complex production issues rapidly. • Own the stack of supporting tools necessary for operational excellence and developer enablement, including CI/CD pipelines. • Implement and manage robust systems for monitoring, logging, and distributed tracing to provide insights into application and infrastructure health.
• Demonstrable, hands-on experience applying core DevOps and Site Reliability Engineering (SRE) principles to manage, monitor, and scale production systems. • A deep understanding of the SRE mindset, including SLO/SLA creation and monitoring, error budget management, toil reduction, and post-incident review (blameless postmortems). • Expertise in one or more major public cloud providers (AWS, GCP, or Azure), encompassing network configuration, security best practices (IAM, security groups, etc.), compute services (EC2, GKE, ECS, etc.), and managed services (databases, queues, serverless functions). • In-depth knowledge of container technologies, specifically Docker, and extensive experience orchestrating them at scale using Kubernetes (K8s). • Proficiency in one or more modern software languages (e.g., Typescript, Go, Python, Rust) and associated frameworks used for building high-performance, resilient production systems. • Proven experience developing robust, maintainable, and well-tested automation scripts, services and pipelines to manage infrastructure, deployments, and operational tasks. • Experience owning, managing, and maintaining mission-critical operational tooling. • Proven background in implementing and managing centralised logging solutions or similar platforms (e.g., Splunk, DataDog).
• Equity in an early-stage tech company on an incredible trajectory • Apple hardware • Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)
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