Jobs at Salesforce

Designs and builds enterprise reference implementations across Salesforce Data 360, Tableau, Agentforce, MuleSoft, Slack, Marketing Cloud Next, and Salesforce. Solves production challenges involving identity, access control, consent, governance, multi-region deployment, and reliability. Develops governed data products and semantic models for analytics and AI agents, evaluates Salesforce against alternatives such as Snowflake, documents reusable architecture patterns, and mentors architects and engineers.

Lead performance engineering for SalesforceDB, a distributed transactional database operating at massive scale. Responsibilities include profiling and optimizing database and storage systems, diagnosing scalability issues, developing benchmarks and models for capacity planning, building telemetry and performance dashboards, and qualifying releases for production. The role requires strong systems programming, database internals, performance testing, SQL analysis, Linux, and distributed-systems expertise, plus collaboration across engineering and analytics teams.

The Solution Engineer collaborates with clients to design and demonstrate Salesforce solutions that drive business success, leveraging technical and sales skills to solve complex problems.

Leads go-to-market strategy, messaging, launches, demos, content, and enablement for Salesforce strategic technology partnerships. Coordinates Product, Product Marketing, Business Development, Sales, Communications, and partners from partnership formation through post-launch adoption. Builds and manages a team, budgets, launch plans, sales materials, and technical storytelling programs while aligning stakeholders around positioning, segmentation, customer journeys, and sales motions.

Build and operate backend services for Slack’s enterprise productivity integrations with Google Workspace and Microsoft 365. Responsibilities include authentication and authorization flows, admin tooling, connector frameworks, analytics, experimentation, secure architecture, production support, code review, mentoring, and cross-functional collaboration.

Designs and builds production AI agent systems that combine LLM reasoning with deterministic execution. Responsibilities include backend services, workflow state management, recovery and verification, evaluations, diagnostics, secure customer integrations, and architecture leadership. The role involves direct customer collaboration, turning workflows into reusable product capabilities, evaluating models and tools, mentoring engineers, conducting design reviews, and guiding technical direction across agent and backend systems.

Leads Salesforce’s product security engineering strategy, security governance, risk remediation, and cloud security architecture across customer-facing products and platforms. Partners with engineering and executive leadership to embed security controls into software development, manage technical security debt, and reduce systemic risk. Builds and scales inclusive security organizations while communicating security posture to executives, board members, customers, analysts, and auditors.

Leads enterprise security partnerships for major business units, owning risk registers, prioritization, remediation plans, architecture reviews, threat modeling, security metrics, and executive reporting. Directs security strategy for cloud, identity, application, and AI/ML risks while applying frameworks and regulations such as NIST, FedRAMP, and SOX. Manages and develops security leaders, drives tooling and automation adoption, and advises senior executives and boards on security posture and risk decisions.

Designs Salesforce solutions for nonprofit customers by analyzing goals, creating customized demos, responding to RFPs, developing technical viewpoints, and presenting business value. The role partners with sales teams and account contacts, communicates requirements to product and engineering, and supports customer-facing technical discovery. It requires strong CRM, AI, analytics, BI, digital marketing, presentation, collaboration, and problem-solving skills, with up to 20% domestic travel.

Lead product analytics projects from data modeling and metric design through advanced analysis and implementation. Develop scalable product metrics, AI-powered analytics automations, self-service analytics experiences, and trusted data models. Partner with Product, Engineering, Go-to-Market, and data teams to solve complex business problems, influence senior stakeholders, and deliver executive-ready recommendations.

Develop scalable, high-performance software for Salesforce’s distributed B2C platform. Responsibilities include designing and implementing full-stack features, collaborating with architects and product owners, creating technical designs and test cases, deploying code, and conducting automated unit, integration, functional, acceptance, performance, and smoke testing. The role requires strong Java or comparable language skills, backend and web application expertise, LLM knowledge, software engineering fundamentals, and cross-functional communication.

Leads Salesforce’s security risk operations program by coordinating risk decisions, reviews, escalations, remediation, and cross-functional initiatives. Owns security issue management, policy exceptions, risk acceptance, workflows, metrics, dashboards, and leadership reporting. Develops scalable governance processes, improves operating standards, drives accountability, and partners with engineering and platform teams to automate risk workflows and reduce manual work.

Leads architecture and delivery of Salesforce’s cloud-native GRC platform, including policy-as-code, compliance-as-code, automated evidence collection, telemetry, alerting, and risk evaluation. Designs multi-cloud integrations, ensures secure engineering and CI/CD standards, evaluates human- and AI-generated code, and guides distributed feature teams. Partners with product, security, and GRC leaders to translate regulatory requirements into technical roadmaps. Mentors engineers and drives adoption of AI coding assistants and agent-enabled workflows.

Own the enterprise vulnerability management strategy and roadmap across infrastructure, cloud, containers, software, and AI/ML environments. Lead vulnerability response incidents, develop AI/ML security governance, automate scanning and remediation workflows, and drive threat-informed prioritization using CVSS, EPSS, and KEV. Partner with engineering, product, and architecture leaders to reduce systemic exposure, while reporting vulnerability trends, AI threats, metrics, and remediation performance to executive security leadership.

Leads multiple software engineering teams building and operating large-scale, highly available platform services. Owns technical roadmaps, architecture, reliability, SLA compliance, incident management, delivery execution, and organizational performance. Manages and mentors engineering managers and leaders, drives cross-functional alignment, identifies risks and resource gaps, and communicates technical and operational status to executive stakeholders.

Provides security architecture and advisory guidance for large-scale cloud and infrastructure initiatives. Conducts threat modeling, security design reviews, risk assessments, and vulnerability mitigation across application and infrastructure stacks. Partners with engineering and product teams to implement secure designs, improve secure development processes, and prioritize risk-based security initiatives. The role requires expertise in cloud security, identity and access management, networking, encryption, and security communication, with preferred experience in offensive security, Kubernetes, code analysis, and infrastructure security tooling.

Leads data science and decision science initiatives supporting product adoption, compensation metrics, and operational systems. Responsibilities include statistical modeling, data architecture, experimentation, causal inference, metric validation, M&A data integration, AI-agent lifecycle management, anomaly detection, and executive advisory. The role also establishes analytical standards, improves data reliability and SLAs, and mentors team members.

Leads business value services for enterprise TMT accounts by advising C-suite stakeholders, shaping strategic account and value-based sales strategies, developing ROI-driven business cases, structuring commercial deals, and supporting negotiations. Partners cross-functionally with sales, solution engineering, pricing, legal, and industry teams. Tracks post-sale value realization, drives thought leadership, mentors team members, and scales value methodologies.

Investigate and triage data-quality, freshness, and pipeline issues across governed sales data products. Validate models and migrations through row-level, column-level, and parity checks; monitor dbt tests, source freshness, and observability alerts; support UAT and hypercare; verify fixes in Snowflake; and document definitions and known issues. The role offers a structured path from data operations and support into data engineering, including model development, testing, and ownership of data products.

Build and maintain security across the MeshMesh platform, including threat modeling, security reviews, vulnerability scanning, monitoring, remediation, system hardening, compliance support, and continuous control validation. The role partners with engineering teams to secure cloud-based distributed systems, application and infrastructure environments, and AI-assisted development workflows, including agent loops and tool use.