2 months 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.
Categories
About Salesloft
Salesloft builds a sales engagement and revenue orchestration platform used by B2B go-to-market teams to run cadences, automate emails and calls, and surface AI-driven insights tied to CRM data. The company sells its software via SaaS subscriptions and integrations with systems like Salesforce. Founded in 2011 and headquartered in Atlanta, Salesloft is privately held and owned by Vista Equity Partners.