Post Sales & Customer Success Jobs

Company: Customer Success Snack

What You’ll Do
* Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs
* Implement and optimize RAG systems for production use cases
* Design and build LLM-based and agentic AI solutions that address real client business challenges
* Own the technical direction of client engagements from discovery through delivery
* Support presales: discovery calls, technical proposals, scoping, and client-facing demos
* Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice
* Mentor engineers, lead code reviews, and share knowledge across the team
* Build and maintain strong relationships with key client stakeholders as a trusted technical advisor
What You’ll Bring
Mindset
* Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure
* Already using AI tools in your daily workflow (Claude Code, Copilot, or similar)
* Proactive and self-directed; you own outcomes end-to-end and spot problems before they're handed to you
* B2+ English, comfortable collaborating across distributed, multicultural teams
Presales & Client Engagement
* Owns the client technical relationship; leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget
* Produces scoped, phased delivery plans with clear deliverables, dependencies, and risks
* Experience with cost estimation and cloud architecture cost optimization
Python, AI & Cloud
* 7+ years building and running production systems not only demos and POCs
* Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions
* Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization
* Experience building RESTful APIs with FastAPI, Django REST, or Flask
* Experience making and defending architectural trade-off decisions: microservices vs monolith, sync vs event-driven, SQL vs NoSQL
* Strong testing practices: pytest, mocking, and integration tests for AI systems
* Experience with Docker and Kubernetes
* Hands-on experience building production LLM-based applications and agentic workflows
* Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock)
* Experience building and optimizing RAG systems
* Understanding of LLM evaluation techniques and quality assurance approaches
* Experience deploying and maintaining AI/ML models in production environments
* Hands-on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered
* Experience with React/Vue
* AWS and Claude Code Certifications
Nice to Have
* Experience with Streamlit or Gradio for AI prototyping
* Modern Python tooling (ruff, uv, pyproject.toml, pyright)
* CI/CD pipeline experience (GitHub Actions, GitLab CI)
* Experience in an additional language (Go, Node.js, or Rust)
* Front-end experience
What We Offer
* Opportunity to work with cutting-edge AI and cloud solutions
* Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications
* Career growth: a clear path toward SA or beyond; we actively develop our engineers
* Access to the latest AI tools and premium subscriptions
* Long-term B2B collaboration
* Remote with flexible hours
* Private medical insurance or a budget for your medical needs
* Paid sick leave, vacation, and public holidays
* Equipment and all the tech you need for comfortable, productive work

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