Graph Engineer
About the job
- Proven experience with knowledge graphs and algorithms.
- Strong experience using knowledge graphs for user modeling and data ingestion from disparate data sources.
- Implementation experience with database technologies such as PostgreSQL.
- Experience with graph query languages such as GraphQL.
- Strong communication skills to clearly communicate vision and objectives with the team and stakeholders.
- Strategic thinking and the ability to align design goals with key objectives and priorities.
- At least 5 years of experience with systems and graph algorithms.
- Design and develop ingestion, processing, and application of algorithms for user data to build models of user behavior and preferences for large knowledge graphs.
- Design efficient implementations using graph query languages to drive valuable and actionable insights and data retrieval.
- Collaborate with designers, researchers, and other stakeholders to implement knowledge graph components required to deliver product features.
- Identify and address performance bottlenecks, security concerns, and other technical challenges.
- Stay updated on emerging technologies and industry trends in the use of AI and machine learning integration with knowledge graphs.
- Experience building and deploying machine learning models end to end.
- Experience working with data science and machine learning teams to deliver products to market.
- Startup experience.
About the company
Adapter helps people manage their daily technology in one place by acting as an autonomous conductor for personal data. It uses LIFE RADAR to filter noise and ensure important information isn’t missed, SEAMLESS COORDINATION to optimize schedules, friends’ plans, and preferences, and a BOUNDLESS MEMORY that archives important information. It connects to services like iMessage, WhatsApp, email, calendars, and Google accounts, learns from conversations and data to tailor what matters and deliver proactive REMINDERS THAT WORK. The goal is to reduce chaos and screen time by proactively organizing information and coordinating plans across apps, so users can focus on what matters most. Compared with competitors, Adapter emphasizes proactive attention management, cross-app orchestration, and an ongoing personal data model to deliver timely, personalized actions rather than just aggregating data.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
Kyiv, Ukraine
Founded
2022
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Simplify's Take
What believers are saying
- GV, Bond, Hillspire, and Byers backed the $17.8 million launch in July 2026.
- Adapter says it keeps user data out of model training, a sharp privacy hook.
- The iOS app and web access address both personal workflows and developer adoption.
What critics are saying
- Composio, Supermemory, and Anthropic MCP commoditize Adapter's memory stack by 2026.
- Seventeen employees and stealth roots signal limited execution capacity against fast-moving competitors.
- If developers skip a new API, Adapter becomes a niche consumer app and stalls.
What makes Adapter unique
- Adapter launched July 14, 2026 as a cognition layer, not another chatbot.
- Adam Ghetti brings repeat-founder credibility from Ionic Security, acquired by Twilio.
- Adapter Mind and MCP integration target builders using Claude, Cursor, and Codex.
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Benefits
- Early stage equity
- Comprehensive health insurance
- Unlimited Paid Time Off
- Flexible Work Hours