Top Tech Jobs & Startup Jobs

Manages strategic higher education customers using Salesforce Signature Success. Serves as the primary customer accountability point, builds executive relationships, coordinates success services, guides feature adoption, supports renewals and expansion, and advocates during high-severity incidents. The role translates technical concepts into business outcomes, coordinates cross-functional teams, identifies implementation risks, and improves customers’ technical and operational health. Occasional customer-site travel and after-hours or weekend coverage may be required.

Develop and execute product marketing strategy for Salesforce’s Financial Services industry, including positioning, messaging, go-to-market plans, funnel content, customer stories, events, webinars, website pages, and sales enablement. Partner with Sales, Product, Industry Advisors, executives, and customers to drive pipeline and adoption. Use AI tools and build AI-assisted workflows while presenting at events and coaching speakers.

Software engineering interns contribute to real Salesforce product, platform, and AI-powered projects under experienced mentorship. Responsibilities include applying computer science fundamentals, object-oriented programming, algorithms, and data structures to practical solutions; experimenting with AI-assisted development tools; collaborating with engineering teams; and learning through technical training, workshops, and professional development opportunities.

The Pre-Sales Data and AI Architect will design and operationalize enterprise data architectures, collaborating with teams to ensure effective integration of Salesforce D360 into complex ecosystems while driving customer success through innovative data solutions.

Serve as a customer-facing pre-sales security and compliance architect for defense and national security customers. Advise on DoD cybersecurity frameworks, authorization requirements, cloud architecture, network security, cryptography, and SaaS security controls. Partner with sales and internal technical teams, engage senior government stakeholders, build customized demos, lead workshops, support RFIs, monitor policy changes, and translate requirements into customer guidance and product feedback.

Partners with field Solutions Engineers and strategic customers to identify product gaps, build AI-assisted prototypes, validate competitive positioning, and create technical enablement assets. Serves as a Tableau Cloud and Tableau Desktop subject-matter expert, experiments with emerging AI capabilities, and feeds field insights into product improvements, best practices, and scalable tools. The role operates in fast-paced 90-day sprints and drives adoption across the Solutions Engineering organization.

Lead quality engineering for Salesforce AI-powered Sales Agent and Forecasting products. Design scalable AI-first testing frameworks and automation suites, validate LLM integrations, prompts, agentic workflows, and deterministic behaviors, and perform white-box testing. Implement human-in-the-loop model evaluations for relevance, safety, and contextual accuracy. Collaborate with developers, product managers, data scientists, and AI/ML engineers throughout the agile CI/CD lifecycle while addressing code quality gaps and test flakiness.

Leads product vision, strategy, and roadmap for Total Rewards within Salesforce Employee Success. Designs AI-native and agentic employee experiences, drives transformational implementations, partners with engineering, design, data science, HR policy, and enterprise stakeholders, and influences outcomes through thought leadership and informal mentorship. The role requires deep Total Rewards expertise, product management experience, AI/ML fluency, strong stakeholder management, and the ability to operate effectively in ambiguous, matrixed environments.

Design and deliver scalable, cloud-native Automation and MuleSoft services. Translate product requirements into engineering plans, build and tune robust APIs in multi-tenant environments, collaborate across teams, and apply distributed systems and Agile practices.

Own end-to-end partner marketing for Salesforce SI ecosystem: translate positioning into integrated campaigns, produce landing pages, emails, event and social content, run Partnerforce channels, and use AI tools to scale and optimize content and community engagement.