Principal Software Engineer

Manager, Software Engineering

Location:
Guadalajara, MX
- Remote By combining our scale, insights, and AI innovation, we're building the industry's first Join us to help transform how companies around the world run revenue
- and build the platform that will guide leading revenue teams into the future. You will be a key member of our fast-growing and high-performing AI Platform team in the US, owning the design and build-out of our AI Context Layer
- the data platform that gives our AI agents access to high-quality, well-governed context about the world they operate in. Embed with feature teams across the organization to understand what they need from the context layer
- what data, at what quality, in what form
- and use those insights to drive the platform roadmap. Build the technical vision and roadmap for our Context Layer: a collection of high-quality data products
- including a knowledge graph, RAG engines, and retrieval/search infrastructure
- that give AI agents access to the best possible context about our customers and their revenue processes. Design and own the access control and RBAC model for the context layer
- a genuinely hard problem at the intersection of multi-tenant data, agent identity, and fine-grained permissions. Identify data platform dependencies and work closely with data engineering to ensure the underlying data infrastructure can reliably service the context layer's needs. Address governance and security requirements around data access, lineage, and auditability in an AI context. In addition to working with amazing colleagues who exemplify our 'team over self' core value, you will also have the opportunity to work on impactful and revolutionary software that is changing the way sellers sell. We're looking for a Principal Software Engineer, AIPrincipal AI Engineer to lead the design and build-out of our Context Layer
- the data platform that gives our AI agents access to high-quality, well-governed context about the world they operate in. This includes a knowledge graph, RAG and retrieval systems, and the access control and governance infrastructure that sits around them. You will be the technical owner and driver of this platform, working across feature teams and data engineering to build systems that are accurate, fast, secure, and a joy to build on. The Engineering Team at Clari + Salesloft is deeply committed to building an enterprise-grade platform that serves as the backbone for our customers' most critical business process
- Revenue. With an unrelenting commitment to innovation, our mission is to craft the ultimate revenue intelligence platform for our customers. Rooted in Agile principles, we foster a culture of adaptability and efficiency across all our teams. If you're energized by the prospect of contributing to a dynamic environment that emphasizes collaboration, continuous improvement, and leveraging the forefront of technology to address customer needs, we would love to meet you. 12+ years of professional software engineering experience, with a strong focus on data-layer or search/retrieval infrastructure 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 design in multi-tenant, data-rich environments, with the judgment to navigate the tradeoffs involved Familiarity with data governance, lineage, and audit-ability requirements
- particularly in enterprise or regulated contexts Demonstrated ability to lead technical direction across multiple teams and drive complex, multi-stakeholder projects to delivery Experience with Python and/or Java; comfort working across data engineering, backend systems, and platform infrastructure Excellent communication skills
- able to work across engineering, product, data, and leadership to align on direction and drive outcomes If you receive messages on LinkedIn or other job platforms claiming to be from Clari + Salesloft, they may not be legitimate. If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know. Opting out will not impact your experience or consideration. #LI-REMOTE