Plain

www.plain.com

2 Jobs

26 Employees

About the Company

The most powerful AI-native support platform for scaling B2B teams. Plain helps you support your customers where they work – and move from answering tickets to building genuine relationships.

Powering support at: Raycast, Stytch, Sanity, Granola, Resend, Evervault, Galileo, Mintlify, and hundreds more.

Listed Jobs

Company Name: Plain
Job Title: Senior Product Engineer (AI)
Job Description: **Job title:** Senior Product Engineer (AI) **Role Summary:** Develop and scale AI-driven features for a B2B customer support platform. Own the end‑to‑end delivery of AI products—from concept through production—by building robust backend services, APIs, and data pipelines that enable rapid deployment of agents, assistants, and insights while ensuring performance, reliability, and quality. **Expactations:** - Proven backend engineering experience with a track record of shipping AI‑powered, text and data‑heavy applications (OpenAI/Anthropic era). - Hands‑on knowledge of LLM orchestration, API cost and latency optimization, and RAG architectures. - Expertise in AI observability: monitoring accuracy, reliability, and impact metrics. - Product‑oriented mindset, focused on customer value and measurable impact. - Self‑directed, high‑ownership contributor thriving in fast‑changing, ambiguous environments. - Strong communication skills for external advocacy (writing, speaking, community engagement). **Key Responsibilities:** - Own design, implementation, and production of AI features (agents, assistants, insights). - Build scalable backend services for AI integrations and data pipelines. - Create robust APIs and abstraction layers for internal AI utilization. - Drive system scalability through caching, optimization, and processing patterns. - Lead evolution of AI infrastructure architecture, evaluation and iteration pipelines. - Resolve complex AI challenges using quantitative approaches to enhance accuracy, reliability, and quality. - Advocate for the product internally and externally—authored content, speaking at events, community participation. **Required Skills:** - Backend development (Python/Go/Rust, or equivalent). - Experience with LLM orchestration, prompt engineering, and API integration. - Proficiency in RAG (Retrieval‑Augmented Generation) and related technologies. - AI observability and metrics engineering (log analysis, latency, accuracy, safety). - System design: caching, scalable architectures, data pipelines, and performance tuning. - Familiarity with PostgreSQL, Redis, or comparable data stores. - Strong problem‑solving, analytical, and quantitative reasoning abilities. - Excellent written and verbal communication; ability to document and present complex topics. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - Certifications in cloud platforms or AI/ML (e.g., AWS Certified Solutions Architect, GCP Professional Machine Learning, or equivalent) are a plus but not mandatory.

Company Name: Plain
Job Title: Senior Platform Engineer
Job Description: Job title: Senior Platform Engineer Role Summary: Lead the design, implementation, and evolution of Plain’s cloud infrastructure to support rapid scaling, high reliability, and secure customer data handling. Drive multi‑region deployment, infrastructure‑as‑code (IAC), automation, and observability improvements, enabling engineering teams to ship faster and more confidently. Expectations: - Own critical infrastructure initiatives and shape the platform’s long‑term technical direction. - Balance ambitious architectural vision with pragmatic delivery and cost‑effective solutions. - Collaborate across engineering to ensure fast, reliable, and secure deployments. - Deliver tangible business impact through improved performance, reduced test flakiness, and accelerated iteration loops. Key Responsibilities: - Architect and implement multi‑region, highly available deployments on AWS, integrating services such as Lambda, RDS, DynamoDB, EventBridge, and SQS. - Define and enforce IAC patterns using SST, standardize infrastructure provisioning, and guide best practices for AWS account isolation and change management. - Overhaul pre‑production and test environments to reduce deployment time and increase reliability. - Build and maintain observability stack: metrics, logging, tracing, and alerting. - Simplify or refactor backend architecture (e.g., evaluate DynamoDB migration, reduce serverless complexity). - Champion performance optimization across the stack, including networking, IAM policies, and resource provisioning. - Mentor and collaborate with engineers to embed infrastructure mental models into product builds. - Make high‑leverage decisions that align technical choices with business goals, balancing build vs. buy strategies. Required Skills: - Extensive experience owning infrastructure for early‑stage/high‑growth product companies. - Deep expertise in AWS services (Lambda, RDS, DynamoDB, EventBridge, SQS, IAM, CloudFormation/SSM). - Proven proficiency with infrastructure‑as‑code tools, especially SST, CDK, or equivalent. - Strong understanding of CI/CD, automated testing, and deployment pipelines. - Experience building multi‑region, high‑availability architectures. - Solid knowledge of observability fundamentals: metrics, logs, traces, alerts. - Familiarity with security best practices and cost‑optimization in cloud environments. - Strong problem‑solving, communication, and collaboration skills. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent work experience). - Preferred AWS certifications (e.g., AWS Certified Solutions Architect – Associate or Professional).