This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Intelligence Engineer in the United States.
This role sits at the core of a rapidly evolving AI-native organization building the next generation of voice and data intelligence systems. You will be the founding engineer of a new Data Intelligence function, responsible for transforming complex, high-volume data into autonomous, agent-ready systems that power decision-making at scale. Working closely with data leadership, you will design the semantic and analytical foundation that enables AI agents to query, reason, and act on business-critical data. This is not a traditional analytics role — you will build the infrastructure that replaces static dashboards with dynamic, API-driven intelligence layers. The environment is fast-paced, experimental, and deeply AI-driven, requiring constant adaptation and hands-on innovation. You will operate at the intersection of data engineering, AI systems, and product intelligence, helping shape how modern organizations understand and use their data. This is a high-impact, foundational role for engineers who want to build systems that redefine how machines interact with data.
Accountabilities- Design and build semantic data models and dbt/SQL transformations that serve as the trusted foundation for complex usage-based and revenue-driven metrics.
- Develop agent-facing tools and frameworks that enable autonomous querying, reasoning, and insight generation across distributed data systems.
- Build and maintain data infrastructure that connects product, billing, CRM, and operational systems into a unified intelligence layer.
- Collaborate with engineering and infrastructure teams to ensure data contracts are reliable, scalable, and optimized for AI agent consumption.
- Lead initiatives to transform unstructured data (including internal voice/audio data) into structured, queryable insights for business and product teams.
- Automate repetitive analytical workflows by replacing manual SQL processes with scalable code and agent-based solutions.
- Contribute to the evolution of an AI-first data ecosystem where systems continuously learn, adapt, and self-optimize.
Requirements
- 5+ years of experience in data engineering, analytics engineering, or AI/data platform roles in high-growth environments.
- Strong proficiency in SQL and Python, with experience building production-grade data pipelines and transformations.
- Experience designing or working with RAG systems, agent-based architectures, or AI-native data workflows.
- Deep understanding of usage-based SaaS metrics, including revenue attribution, NRR, consumption models, and product analytics.
- Strong systems-thinking mindset with the ability to design scalable, modular, and reliable data architectures.
- Comfortable working in evolving, ambiguous environments with a strong bias toward building and iteration.
- Strong collaboration skills, with the ability to partner across engineering, product, and data leadership teams.
- Nice to have: experience in software engineering or real-time data/usage billing systems.
Benefits
- Comprehensive health coverage including medical, dental, vision, life, disability, and mental health support.
- Unlimited PTO and flexible scheduling to support work-life integration.
- Competitive 401(k) plan with company match and tax-saving programs.
- Annual wellness stipend and quarterly productivity stipend.
- Learning and development budget, including training, conferences, and education support.
- Home office setup stipend and ongoing remote work support.
- Generous parental leave and family support programs.
- Access to AI enablement workshops and continuous upskilling initiatives.
- Inclusive, collaborative environment with Employee Resource Groups.
- Equity participation and competitive compensation aligned with experience.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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