Senior Member of Technical Staff

Role Overview

• Design and build smart agent systems that help over 15,000 users do their jobs better.
• Create systems that help agents "remember" conversations and manage data so they can provide personal experiences.
• Build connections between agents and tools like Salesforce Data Cloud and other apps to make sure everything works together smoothly.
• Mentor junior team members by reviewing their code and sharing your technical knowledge.
• Lead design discussions and make big decisions about how we build features that scale.
• Test and improve our systems to make sure they run perfectly and stay reliable for all our users.

Requirements

• 6+ years of development experience as a software engineer with demonstrated growth in technical complexity and scope
• Strong experience with backend development in Java, Python, or at least one object-oriented compiled, statically-typed language (C++, C#)
• Deep knowledge of AI/ML frameworks and hands-on experience working with large language models (e.g., OpenAI, Anthropic, Claude, Gemini, Llama)
• Proven experience with prompt engineering, RAG architectures, and building production LLM-based applications or agents
• Experience with conversational AI, chatbots, or agent development platforms (Agentforce experience strongly preferred)
• Experience with cloud infrastructure (e.g., AWS, GCP, Heroku) and designing scalable, distributed system architectures
• Proficiency in data processing, vector databases, embeddings, semantic search, and retrieval optimization
• Strong understanding of Salesforce platform (Apex, LWC, Data Cloud, Platform Events) or equivalent enterprise platform experience
• Experience with RESTful APIs, GraphQL, event-driven architectures, and microservices patterns
• A related technical degree required
• Excellent verbal and written communication skills with ability to influence technical decisions and collaborate across organizations
• Strong experience in test-driven development including unit testing, integration testing, and end-to-end automation for AI systems
• Proven ability to debug complex production issues, optimize system performance, and resolve customer-impacting problems
• Experience with developer tools such as Git, Docker, Kubernetes, Terraform, CI/CD pipelines (Jenkins, GitHub Actions, Spinnaker)
• Track record of mentoring engineers and elevating team technical capabilities
• Experience delivering large-scale features used by thousands of users with measurable business impact

Tech Stack

• AWS
• Cloud
• Docker
• Google Cloud Platform
• GraphQL
• Heroku
• Java
• Jenkins
• Kubernetes
• Microservices
• Python
• Spinnaker
• Terraform

Benefits

• time off programs
• medical, dental, vision
• mental health support
• paid parental leave
• life and disability insurance
• 401(k)
• employee stock purchasing program