Salesforce is looking for an LMTS to design, build, and operate high-throughput data platforms and production ML/analytics services that power Agentic security experiences on the Security Data Fabric. This role bridges complex data challenges and scalable, production-ready software—integrating pipelines, models, and APIs directly into Salesforce and adjacent cloud services.
Requirements
- Demonstrated delivery of agentic planning/acting loops (e.g., tool/function calling, ReAct/Reflexion-style patterns), and multi-agent orchestration (role specialization, delegation, handoffs).
- Robust tool adapters behind typed JSON schemas for action systems (e.g., GUS, Midgard, Data Cloud, Security Hub/GSX/FDP); retries, idempotency, and side-effect control.
- Retrieval & memory at scale (RAG, hybrid search, query rewrite, re-ranking), with strong grounding and token budget control.
- Evaluation & quality: golden sets, rubric scoring, agent telemetry (thought/action traces), AB/canary gates for prompts & tools.
- Safety envelopes: autonomy modes (manual/confirm/auto), policy/guardrail engines, approvals, spend caps, and blast-radius limits.
- Observability: end-to-end traces from perception → plan → tools → effects; metrics for solve rate, handoff rate, iteration depth, latency, cost.
- Reliability: bounded loops/timeouts, circuit breakers, dead-letter queues, compensating actions; deterministic fallbacks.
Responsibilities
- Lead design/implementation of scalable data models and domain contracts; ensure performance, integrity, and governance.
- Build and optimize ETL/ELT and streaming workloads (batch + near real time) with strong SLAs on quality, latency, and cost.
- Drive platform reliability/observability: SLIs/SLOs, lineage, completeness, freshness, and automated parity tests.
- Develop, validate, and deploy statistical/ML models and risk-scoring services that deliver actionable insights.
- Productionize models as services/microservices with clear interfaces, feature stores, and monitoring for drift & performance.
- Ship secure, well-tested software that integrates pipelines and models into applications, APIs, and microservices.
- Expose read-only and action APIs for partner systems; enable dashboards (Tableau/CRMA) for executive and customer reporting.
Other
- Provide technical leadership and mentorship; raise the quality bar via design reviews, code reviews, and documentation.
- Partner with product, security, and platform teams to translate business problems into pragmatic technical solutions.
- Stay current on data/ML/cloud trends; evaluate and introduce tools and patterns that move the needle.
- Bachelor’s or Master’s in CS, Data Science, Statistics, Engineering, or related quantitative field (or equivalent practical experience).
- Ability to communicate complex technical concepts clearly to technical and non-technical audiences.
