2 days ago
Guadalajara, MexicoStaff+
Responsibilities
- Embed with feature teams to understand context-layer data needs and use those insights to guide the platform roadmap.
- Build the technical vision and roadmap for knowledge graph, RAG, retrieval, and search data products.
- Design and own multi-tenant access control and RBAC for agent identity and fine-grained permissions.
- Define and evolve scalable, well-documented APIs, SDKs, and developer interfaces.
- Coordinate with data engineering on platform dependencies and underlying data infrastructure.
- Lead architecture discussions, design and code reviews, and technical standards for modeling, storage, retrieval, and governance.
- Address data access, lineage, auditability, and security requirements in AI contexts.
- Contribute to hiring, documentation, onboarding, and platform adoption programs.
- Provide cross-cutting technical leadership and drive complex multi-stakeholder projects to delivery.
Requirements
- 12+ years of professional software engineering experience focused on data-layer or search/retrieval infrastructure.
- Production experience designing and building knowledge graphs and/or large-scale retrieval and search systems.
- Deep expertise in RAG architectures, vector databases, and embedding-based retrieval, including evaluation, quality tuning, and relevance optimization.
- Strong understanding of access control and RBAC in multi-tenant, data-rich environments.
- Experience designing developer-facing APIs and SDKs that are intuitive and broadly adopted internally.
- Familiarity with data governance, lineage, and auditability requirements, particularly in enterprise or regulated environments.
- Demonstrated ability to lead technical direction across multiple teams and deliver complex, multi-stakeholder projects.
- Experience with Python and/or Java and comfort across data engineering, backend systems, and platform infrastructure.
- Excellent communication skills across engineering, product, data, and leadership.
Benefits
- Remote role based in Guadalajara, Mexico.
- Inclusive and supportive workplace with a culture-add focus and equal opportunity employment.
- Opportunity to work on an enterprise-grade revenue intelligence platform and collaborate across multiple geographies.
- AI-assisted hiring tools may be used, with an option to opt out without affecting consideration.
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