Jobs at Salesforce

Design and operate query infrastructure for Salesforce’s globally distributed, multi-tenant platform. Develop algorithms for query generation, optimization, indexing, statistics, and execution; analyze production telemetry; build diagnostics and automation; and deliver safe, incremental rollouts. Own reliability, SLAs, SLOs, monitoring, and on-call support while troubleshooting issues across application, database, and infrastructure layers. Collaborate with database, runtime, platform, and application teams to improve performance and scalability.

Designs architecture for mission-critical enterprise products and services, establishing standards for scalability and reliability. Partners with business and technology leaders on technical roadmaps and product strategy, integrates AI components, develops architectural proofs of concept, mentors engineers, improves platform reliability, and participates in on-call support. The role requires extensive software development experience with distributed systems, cloud-native platforms, executive communication, and Agile product delivery.

Own and operate Salesforce’s Monitoring Cloud infrastructure at scale. Design Terraform and Kubernetes automation across AWS and GCP, productize monitoring components such as Grafana, support air-gapped deployments, manage upgrades and performance, participate in on-call operations, conduct root-cause analysis, and deliver resilient platform features. Use AI-assisted development tools for infrastructure coding, testing, documentation, incident response, and automation while retaining accountability for architecture, security, reliability, and customer outcomes.

Manage enterprise Salesforce Commerce Cloud customers as a trusted advisor and single point of accountability. Orchestrate Signature Success deliverables, renewals, expansions, feature adoption, platform optimization, and incident resolution. Build executive stakeholder relationships, translate technical concepts into business outcomes, coordinate cross-functional teams, and guide customers through Salesforce releases. Occasional customer-site travel and after-hours or weekend coverage may be required.

The Architect, Data Platform role involves designing and owning the data architecture for AgentExchange, overseeing data pipelines, analytics, migration, and ensuring data security while leading technical strategy and mentorship within the team.

Build and maintain tier-0 authentication services supporting Kerberos, TOTP, and FIDO2/WebAuthn. Develop tested backend code, implement identity protocols, debug distributed production systems, contribute to designs, and support CI/CD, telemetry, documentation, incident response, and on-call operations. The role requires secure coding, least-privilege practices, cloud and Kubernetes experience, and collaboration with senior engineers and internal platform stakeholders.

Serve as first point of contact for customers using Agentforce and Data 360, troubleshoot technical issues, provide feature guidance and best practices, manage customer expectations, create and maintain knowledge content, participate in training, and escalate complex issues to internal teams to ensure customer success.

Build and scale production-grade Java and Python backend services and APIs for a highly available distributed cloud platform. Own services end to end, automate CI/CD pipelines, apply DevOps practices including containers, infrastructure as code, and observability, and integrate AI/ML capabilities. Participate in code reviews, mentoring, and on-call rotations while supporting high-availability production environments.

Staff and Principal Product Data Scientists will use advanced analytics, experimentation, causal inference, machine learning, and large-scale data technologies to guide Slack product strategy. They will define success metrics, build self-service reporting and data models, evaluate product adoption drivers, identify growth opportunities, and help develop Slack’s agentic data delivery platform. The role partners closely with Product, Design, Engineering, Product Research, and go-to-market teams while communicating insights to executives and cross-functional stakeholders.

Partner with enterprise business units to manage security risk registers, conduct architecture reviews and threat modeling, provide security expertise, prioritize remediation, and drive bug closure. The role requires translating security frameworks into business-relevant risk, communicating with senior stakeholders, and applying sound judgment to AI-assisted security analysis. Responsibilities and autonomy vary across Senior Analyst, Lead, and Senior Lead levels.

Owns the roadmap and lifecycle of Agentforce workflow automation solutions. Designs and validates process blueprints, translates customer needs into PRDs and technical requirements, manages backlogs and Agile delivery, conducts customer research, and collaborates with engineering, design, and customer-facing teams to deliver scalable enterprise B2B SaaS solutions.

Build and operate resilient, highly available distributed systems and cloud infrastructure at scale. Responsibilities include developing automation tools, microservices, Infrastructure-as-Code with Terraform, and production-grade software using AI-assisted workflows. The role involves open-source contributions, system design, performance optimization, monitoring, incident response, technical debt reduction, and on-call support. Candidates must bring backend development experience, strong programming skills, critical-service ownership, database knowledge, advanced prompt engineering, and an AI-first engineering approach.

Lead go-to-market strategy and execution for a product line: create sales enablement (demos, plays, training), align global distribution and marketing, drive pipeline generation, produce event content, and communicate key sales updates to cross-functional stakeholders.

Develop and operate highly available cloud infrastructure and distributed backend systems across large public cloud environments. Build automation tools, infrastructure-as-code, microservices, and containerized platforms; troubleshoot complex production issues; improve reliability, resilience, and performance; manage technical debt; and participate in on-call support. The role focuses on DNS, cloud architecture, Linux systems, network technologies, CI/CD, monitoring, and large-scale infrastructure delivery.

Design, build, and own scalable backend systems and APIs powering Slackbot, including search, integrations, and AI capabilities. Collaborate with product, design, and engineering teams to deliver user-focused features, make architectural decisions, resolve production issues, and improve system reliability. Mentor engineers, conduct code reviews, and advance engineering standards, tooling, and processes across the team.

Lead full-cycle recruiting for technical, customer success, and professional services roles across AMER. Source, pipeline, qualify, and engage candidates; develop recruiting strategies; partner with business leaders and sourcing teams; deliver high-touch candidate experiences and use data and market intelligence to inform hiring decisions.

Owns strategy, planning, and end-to-end delivery of global Partner Advisory Boards and Strategic Roundtables. Manages event logistics, content and presentation strategy, stakeholder alignment, communications, vendors, budgets, contracts, timelines, and post-event analysis. Builds scalable playbooks, processes, and content repositories while directing cross-functional teams and external agencies. Reports program strategy and results to senior stakeholders and ensures partner-facing experiences meet Salesforce brand and messaging standards.

Generate and close qualified opportunities within existing Salesforce customers by selling Professional Services engagements. Use consultative selling, develop business-value presentations, partner with license sales and Account Partners, build executive relationships, and align Salesforce solutions with customer goals. The role is primarily remote with up to 20% travel.

Leads enterprise security for major business units, owning security relationships, risk registers, prioritization, remediation sequencing, architecture reviews, threat modeling, and incident response coordination. Provides technical security guidance across cloud, identity, applications, and AI/ML while influencing executives and cross-functional stakeholders. Manages and develops Security Partner professionals and strengthens security posture across complex enterprise environments.

Develops and operates enterprise-scale endpoint security software, automation, and integrations. Responsibilities include Python-based automation, endpoint protection, threat modeling, vendor evaluation, security tool integrations, detection and response workflows, CI/CD, infrastructure-as-code, policy enforcement, compliance, documentation, and incident remediation. The role partners with security engineers, product managers, and telemetry teams to improve endpoint security across more than 10,000 systems.