We are looking for a Founding GTM Engineer who thrives at the intersection of engineering, customer discovery, architecture, and technical storytelling.

This is not a traditional SDR or sales role.

You will work directly with the founder to help shape the future of the platform, onboard design partners, build proof-of-concepts, create technical demos, and help enterprises solve difficult AI data challenges.

If you enjoy building, experimenting, presenting, and solving hard technical problems, this role is for you.

What You’ll Do

• Work directly with design partners and early adopters
• Build real-world demos and proof-of-concepts
• Create reference architectures and integration examples
• Help customers onboard and deploy SynapCores
• Run technical discovery calls
• Translate business problems into technical solutions
• Assist with developer onboarding and support
• Build AI workflows, GraphRAG pipelines, semantic search systems, and agentic architectures
• Create technical content, tutorials, demos, and example projects
• Support integration partners and ecosystem growth
• Work closely with engineering to relay product feedback from the field
• Help define go-to-market strategy for the platform

• Strong engineering background
• Experience building backend systems or distributed systems
• Experience with AI/ML, LLMs, vector databases, GraphRAG, RAG, or data infrastructure
• Comfortable speaking with both engineers and executives
• Strong troubleshooting and systems thinking
• Ability to move fast with limited structure
• Self-driven and execution-focused
• Comfortable in an early-stage startup environment

Nice To Have

• Experience with databases or query engines
• Experience with Kafka, streaming, or event-driven systems
• Experience with Docker, Kubernetes, or cloud infrastructure
• Experience with LangChain, Ollama, llama.cpp, or AI orchestration frameworks
• Experience creating technical demos or developer-focused content
• Open-source contributions
• Startup experience

Tech Stack

• SQL
• Vector Search
• Graph Querying
• AI/ML
• LLM Inference
• Docker
• Linux
• Node.js SDK
• Python SDK

The platform combines relational, graph, vector, machine learning, semantic reasoning, and multimodal AI workloads inside a single unified engine.

Our goal is to simplify how enterprises build intelligent systems.

Pay: $122,432.84 - $147,446.00 per year

SynapCores is building an AI-native data operating system that unifies SQL, vector search, graph traversal, machine learning, semantic reasoning, and multimodal AI into a single engine.