Solutions Architect

1 мес. назад

90k–175k USD / yearUSAOnsite

Own the technical heart of customer relationships, turning qualified opportunities into deployed working solutions in K-12 AI-powered education.

About Us builds AI-native solutions that personalize learning, empower educators, and deliver measurable impact in K-12 education. Our flagship product, Yeti Confetti Kids , is an AI-powered personalized learning and teaching co-pilot for early numeracy and literacy — spanning 200+ skills across English Literacy, Mathematical Reasoning, and Social-Emotional Learning, aligned to Common Core, CASEL, and Bloom's Taxonomy. We give parents and teachers actionable insight into each child's cognitive, social, and emotional development. Founded in 2021 and backed by Kapor Capital, Transcend Capital Partners, and Chingona Ventures, we're a small, fast-moving team turning cutting-edge AI and cognitive research into learning experiences that schools and families trust.   About the R

Technical translator and builder. You can take a customer's user stories and turn them into specific, buildable solutions — and then build them yourself. You're comfortable owning code in production. Strong bias toward action. You move quickly, make decisions, and unblock yourself. You'd rather ship a scoped solution than perfect a slide. Entrepreneurial, high ownership and autonomy. You take full responsibility for outcomes and don't need to be managed closely. Exceptional communicator. You explain technical concepts clearly to non-technical stakeholders, and you set and communicate timelines crisply — externally and internally. Customer-trusted. You work well with senior education stakeholders and build credibility fast. A leader of people. You've been a team lead and have mentored junio

Experience in education / Edtech
Background as a PM who moved into engineering (or vice versa) or Technical Product Management / Solution Engineer or Sales Engineer
Startup experience and comfort with ambiguity

3+ years of software development experience with mid-level proficiency
Experience designing and building distributed, fault-tolerant computing architectures .
Intermediate SQL and Python, Java, or Rust skills — able to read, write, and debug implementation code independently.
Development experience with RAG and agentic workflows, building GenAI applications.
Command of data collection and ingestion across web and mobile SDKs and backend integrations: data layers, identity methods, and offline data ingestion.
Proven experience integrating, building and consuming both RESTful APIs and gRPC services.
Hands-on experience with cloud hyperscalers such as Google Cloud Platform (GCP) and Amazon Web Services (AWS)
A proven track record of delivering high-quality software within a full Product Development Life Cycle (PDLC) .
A working knowledge of Linux/Unix environments.