L

Lirvana Labs

AI-powered personalized learning platform for children

Senior Solutions Architect - Forward-Deployed

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 7 years of experience in software, cloud, infrastructure, or platform engineering, including at least 3 years in customer-facing technical roles such as solutions engineering, pre-sales, or technical account management.
  • Hands-on enterprise cloud experience with at least one of AWS, GCP, or Azure, including networking, identity and access management, containers, and CI/CD.
  • Systems integration experience, including APIs, SSO using SAML or OAuth, data connectors, and ETL pipelines.
  • Experience building and deploying systems in on-premises and hybrid environments.
  • Hands-on experience building AI agents and evaluation, including LLM tool use, connectors such as MCP, and safe deployment and evaluation of agentic workflows.
  • Solid SQL and data modeling skills.
  • Security and compliance awareness, including data protection requirements and data residency.
  • Project management and timeline tracking across multiple concurrent customer deployments.
  • Customer-facing sales experience, including working with multiple stakeholders, handling objections, and presenting to senior leadership.
  • Strong judgment around technical tradeoffs and autonomous day-to-day decision-making.
  • Ability to write and own production code and configuration and debug customer environments.
  • Ability to explain technical concepts clearly to non-technical stakeholders, set timelines, work autonomously, and operate across time zones.
  • Based in Singapore or Hong Kong for APAC deals; able to attend two weeks of onboarding at the global headquarters in Menlo Park, California.

Responsibilities

  • Act as the senior technical representative in meetings with government agencies, school boards, superintendents, and principals; lead technical discovery, answer infrastructure, security, and data privacy questions, and build stakeholder confidence.
  • Configure and deploy the platform for each customer, integrate it with student information systems, learning management systems, SSO and identity systems, and other data sources, establish agentic workflows and connectors, and take deployments through go-live and handoff.
  • Translate ambiguous customer needs into structured technical requirements, scope work against platform capabilities, and identify roadmap needs.
  • Lead the technical aspects of RFPs and government tenders, security questionnaires, data protection reviews, and data residency requirements.
  • Co-own the sales pipeline and use working deployments and proofs of concept to convert qualified opportunities into signed partnerships.
  • Communicate timelines and expectations clearly to customers and internal teams.
  • Work with Product, Engineering, and DevOps leadership to scope net-new capabilities and determine roadmap fit.
  • Create repeatable deployment playbooks and mentor junior engineers and contractors as the APAC team grows.
  • Record and submit a two-minute video addressing the specified application questions; the video is required to proceed with evaluation.

Desired Qualifications

  • Forward-deployed engineering experience.
  • Public sector or education experience in Asia, including government procurement.
  • Experience with Snowflake and workflow automation tools such as n8n.
  • Startup or entrepreneurial experience.
  • Mandarin, Bahasa, Thai, Vietnamese, or Filipino.

About the Company

Lirvana Labs

AI-powered personalized learning platform for children

Lirvana Labs builds an AI-powered learning platform for children (preschool–grade 5) with the Yeti Confetti Kids app and partnerships with schools and NGOs. The app uses a proprietary AI model to ingest curricula and generate real-time, adaptive lesson plans, delivering videos, books, and games while tracking progress across 200+ skills aligned to Common Core and CASEL, and it provides insights to parents and teachers. Its differentiation comes from an experienced ML and education team, a three-part focus on English literacy, mathematical reasoning, and social-emotional learning, real-time curriculum alignment, and ongoing efficacy studies that fine-tune its models. The goal is to democratize education by making personalized learning accessible in the US and Asia and to support targeted learning through clear progress insights for families and educators.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Hong Kong
Founded
2021

Recently Posted Jobs

Explore more opportunities at Lirvana Labs

See more jobs