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Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

About the FKP Team The Falcon Kubernetes Platform (FKP) team builds and operates Salesforce’s multi-substrate container platform that powers a significant portion of our Core CRM and platform services. FKP delivers a highly available, scalable, secure platform enabling engineering teams to deploy and run workloads efficiently across thousands of nodes and clusters.As AI becomes core to our platform strategy, FKP is investing in data-driven intelligence, automated decisioning, predictive insights, and operational analytics to improve reliability, efficiency, and developer experience at massive scale.Role Description We are looking for a Lead Data Scientist with strong AI and data engineering experience to drive intelligence within the FKP ecosystem. In this role, you will design and implement AI-driven capabilities that optimize platform performance, streamline operations, and enhance automation across Kubernetes, networking, capacity, and multi-cloud environments.You will work closely with SREs, platform engineers, architects, and product partners to convert platform telemetry and operational data into actionable insights, intelligent automation, and decision-support systems. This is a highly technical, hands-on leadership role.In this role, you will:

• Lead data and AI initiatives that improve platform resilience, availability, capacity planning, and operational efficiency across the FKP ecosystem.

• Build AI-driven systems to automate alert triage, anomaly detection, failure prediction, routing recommendations, resource optimization, and remediation workflows.

• Partner closely with SREs and platform engineers to translate operational pain points into scalable AI/analytics solutions.

• Develop and implement data pipelines, feature repositories, and telemetry ingestion frameworks for large-scale platform observability.

• Build analytics dashboards and intelligence layers that give deep insights into cluster health, node behavior, workloads, SLA adherence, utilization patterns, and failure modes.

• Drive data-informed decisioning for nodepool planning, release readiness, capacity scaling, and multi-region deployments.

• Design and implement AI-assisted runbooks, knowledge extraction systems, and automation logic embedded into platform tooling.

• Contribute to architectural discussions on data flows, analytics infrastructure, AI integration, and platform intelligence strategy.

• Establish standards and best practices for data quality, governance, monitoring, and lifecycle management.

• Mentor data engineers and data scientists while enabling cross-team collaboration with SRE, AI, and platform engineering teams.

• Evaluate emerging AI / data technologies and integrate them into FKP’s platform intelligence roadmap.

You are the ideal candidate if:

• You are passionate about improving large-scale, distributed platforms through data, automation, and AI-driven intelligence.

• You understand how to work with high-volume operational telemetry: logs, events, metrics, traces.

• You are comfortable partnering with SREs and infra engineers to solve real-world reliability, efficiency, and automation problems.

• You can drive initiatives end-to-end — from idea to prototype to production.

Required Skills & Experience:

• 9 years of experience in Data Science, Data Engineering, AI engineering, analytics, or similar fields, including leadership of technical projects or teams.

• Strong experience with large-scale data processing, ETL pipelines, telemetry systems, and real-time analytics.

• Expertise in Python and data frameworks (e.g., Spark, Dask, Pandas, SQL).

• Hands-on experience in AI systems, including:

• Generative AI

• Prompt engineering

• Knowledge extraction

• Automation and decision systems

• Anomaly detection

• Operational analytics

• Deep experience working with observability data (metrics, logs, traces) and platforms such as Prometheus, Grafana, Elasticsearch, Loki, Datadog, or similar.

• Strong experience with cloud platforms and container ecosystems (Kubernetes, Docker, microservices).

• Ability to work with SRE and infra teams on distributed systems, performance, and operational issues.

• Excellent problem-solving skills and the ability to simplify complexity for stakeholders.

• Strong communication and documentation abilities.

Unleash Your Potential:

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

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Posting Statement:

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.