--- title: 'Graph Engineer at Adapter' canonical: 'https://feeny.ai/job/graph-engineer-adapter-united-states-jedssfgs8a1n' type: 'job' last_seen: '2026-09-10' --- # Graph Engineer at Adapter - **Company:** Adapter - **Location:** United States - **Compensation:** $180k–$230k - **Work type:** remote - **Posted:** 2024-12-03 - **Last confirmed live:** 2026-09-10 - **Apply:** https://job-boards.greenhouse.io/adapter/jobs/4422283008 ## Job description Our story: The widespread adoption of intelligent technologies powered by automation, AI, ML, and knowledge graphs is accelerating. As these technologies become increasingly accessible, our aim is to make their capabilities empowering, trustworthy, and useful to real people in the real world. Adapter was founded in 2022 by [Adam Ghetti](https://www.linkedin.com/in/adam-ghetti) and [Dr. David Bader](https://davidbader.net/), with the support of some of the most esteemed Tier 1 Silicon Valley firms and individual entrepreneurs. We are a small but dedicated team, currently working towards solving a significant problem. We recognize the importance of being early movers in this field, and have assembled a well-supported and passionate team to do so. What we are looking for: We are seeking an engineer experienced in designing and implementing robust systems to ingest diverse, complex data types into large-scale knowledge graphs, who will play a key role in shaping and creating the product, which at its core aims to empower individuals through thoughtful collaboration with intelligent technology. You will partner with a brilliant team of engineers and innovators and will be at the cutting edge of some of the most interesting consumer use-cases for intelligent technologies. We have established a culture that promotes both remote work and in-person collaboration, with team members currently dispersed around the country with hubs in Austin, NYC, and the Bay Area. We believe that the integration of these two elements allows for maximum productivity and creativity as we strive to achieve our goal. Responsibilities: - Design and develop the ingestion, processing and application of algorithms for user data to build models of user behavior and preferences for large knowledge graphs - Design efficient implementations utilizing graph query languages to drive valuable and actionable insights and data retrieval - Collaborate with a team of designers, researchers and other stakeholders to implement the 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 usage of AI/ML integration with knowledge graphs Qualifications: - Proven experience with knowledge graphs and algorithms - Strong experience in using knowledge graphs for user modeling and data ingestion from disparate data sources - Implementation experience with databases technologies such as PostgreSQL - Experience with graph query languages like GraphQL. - Strong communication skills; must be able to effectively and clearly communicate vision and objectives with the team and stakeholders. - Strategic thinker with the demonstrated ability to align design goals with key objectives and priorities. Desired: - Experience building and deploying ML models from end to end - Experience working with data science and ML teams in delivering products to market Work Experience: - 5+ years of experience with systems and graph algorithms. - Startup experience is a plus. Benefits: - Early stage equity - Comprehensive health insurance. - Generous PTO. - Remote and in-person cultures that promote collaboration. Full compensation packages are based on candidate experience and certifications. United States - Remote Pay Range $180,000—$230,000 USD ## About Adapter ## Company Overview - **One-liner**: Adapter builds a personalized AI assistant that securely integrates with your email, calendar, and social accounts to proactively filter noise, anticipate needs, and coordinate your digital life. - **Entity Type**: Private (raised $17.74M total as of July 2026; last round: Unattributed - II) - **Headquarters**: Atlanta, Georgia, United States - **Founded**: 2022 - **Founders**: Adam Ghetti (Co-founder & CEO) and Dr. David Bader (Co-founder) ## Core Business - Primary industry: Artificial Intelligence / Personal Productivity - Target customers: B2C (individuals seeking a smarter, privacy-first digital assistant) - Mission: "To empower individuals by building delightful tools that give us not only access to these transformative technologies but also the ability to truly realize their unique benefits." [adapter.com/company](https://adapter.com/company) ## Products & Services - **[Adapter Personal AI Assistant]**: A SaaS/web app that ingests data from email, calendars, social accounts, and direct conversations to build a trusted knowledge base. It delivers proactive reminders, filters noise, and coordinates schedules across iMessage, WhatsApp, and the web. Privacy and local intelligence are core design principles. [adapter.com](https://adapter.com/) ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding raised – $17.74M (as of Q2 2026, including a $10.99M round closed ~May 2026) [cbinsights.com](https://www.cbinsights.com/company/adapter-group) - **Notable Investors/Partners**: Backed by unspecified "industry’s most respected thought leaders, doers, and venture investors." (No named investors publicly listed.) [linkedin.com/company/adaptergroup](https://www.linkedin.com/company/adaptergroup) - **Growth Signals**: Filed at least one patent (“Systems and processes for automated collection of data from third-party applications for predictive and adaptive utility-based personal assistance”); collaborated with Google for Developers and Chrome on local AI efforts; actively hiring across engineering, design, and operations. ## Competitive Advantages - **Privacy-first architecture**: Built by cryptography experts with decades of security experience; data is never sold and access is user-controlled. - **Personalized knowledge engine**: Learns user preferences and context to deliver proactive, relevant information rather than passive notifications. - **Cross-platform availability**: Works inside existing messaging apps (iMessage, WhatsApp) plus a web app, reducing friction. - **Human-centric design**: Focus on empowerment and “all signal, no noise” – distinguishes from ad-supported or data-harvesting alternatives. ## Strategic Focus - **Local intelligence**: Emphasizing on-device processing and privacy. Partnered with Google for Developers on keeping intelligence local. - **Expanding adoption**: Currently in beta with a waitlist; growing the 12-person team to scale engineering, design, and operations. - **Product depth**: Building robust reminder, memory, and coordination features to move beyond simple assistants toward a “digital ally.” ## Why Work Here - **Culture**: Small, tight-knit team of 12 (~42% technical) with a strong emphasis on “cutting-edge innovation and true human connection.” [adapter.com/careers](https://adapter.com/careers) - **Benefits**: Full medical, dental, vision; flexible PTO; reimbursement for professional development; annual learning initiatives. - **Work model**: Office-based in Atlanta, GA (525 Piedmont Road). The team is 100% US-based, suggesting limited remote options, though flexibility may be possible. - **Engineering philosophy**: Builds “intelligent systems that bring the power of computational capabilities directly to people’s hands” with a focus on human empowerment. [adapter.com/careers](https://adapter.com/careers) - **Growth opportunity**: Join an early-stage company with a bold mission, recent funding, and the chance to own significant technical and strategic work. ## Sources 1. [adapter.com](https://adapter.com/) 2. [adapter.com/company](https://adapter.com/company) 3. [adapter.com/careers](https://adapter.com/careers) 4. [linkedin.com/company/adaptergroup](https://www.linkedin.com/company/adaptergroup) 5. [cbinsights.com](https://www.cbinsights.com/company/adapter-group) ## Other roles at Adapter - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-adapter-united-states-bpm9ykm97bh7) — United States - [Test Automation Engineer](https://feeny.ai/job/test-automation-engineer-adapter-united-states-wvfd0eaaphpt) — United States - [Full Stack Engineer](https://feeny.ai/job/full-stack-engineer-adapter-united-states-w6gmsfk6n17j) — United States