Top Tech Jobs & Startup Jobs

Leads Cloud Success strategy, operations, AI transformation, analytics, experience design, organizational planning, executive communications, and cross-functional execution. Builds scalable operating systems, dashboards, AI-enabled tools, and processes that improve employee productivity, customer experience, decision-making, and organizational alignment. Serves as a strategic executive partner to the EVP of Cloud Success and shapes the function’s enterprise narrative and measurable business impact.

Leads enterprise experience design engagements from strategy through execution, guiding multidisciplinary teams, customer discovery, research, workshops, interaction and visual design, prototyping, and digital vision. Develops project scopes, roadmaps, and proposals; manages client relationships, team performance, scope changes, and stakeholder alignment. Mentors designers and uses AI tools to improve design outcomes. Requires extensive experience design consulting, enterprise transformation, client engagement, and team leadership.

Lead human-centered change strategies for complex enterprise technology transformations. Advise executive stakeholders, secure sponsorship, manage client engagements, oversee project teams, and ensure delivery quality and customer satisfaction. Develop roadmaps, facilitate research and workshops, synthesize data, manage scope and risks, and identify business opportunities. Contribute subject-matter expertise and innovation to the Human-Centered Change practice while applying AI tools to improve strategy development and client deliverables.

Coordinates interview scheduling and logistics across regional and global business units, including virtual, panel, onsite, and travel arrangements. Manages candidate reimbursements, employment agreement audits, background investigation completion, and candidate experience. Partners with recruiters and hiring managers, troubleshoots scheduling challenges, supports recruiting projects, uses recruiting systems and dashboards, and provides insights to improve scheduling practices and service-level performance.

Build AI-enabled finance workflows, agents, datasets, and reporting tools using SQL and Python. Analyze trends, forecast drivers, risks, and variances while maintaining data integrity. Partner with Corporate Finance, Product Finance, GTM, and analytics teams to standardize metrics, validate reporting, and translate insights into recommendations for senior stakeholders.

Analyze customer success data to identify drivers of resolution, adoption, satisfaction, and attrition. Design experiments, cohort analyses, predictive models, dashboards, canonical metrics, and self-service analytics frameworks. Partner with engineering and business stakeholders to establish trusted datasets, measurement strategies, governance, and responsible AI practices. Present actionable insights and recommendations to technical and executive audiences.

Manages strategic public-sector customers using Tableau and Salesforce, serving as the primary accountability point for adoption, value realization, renewals, expansion, technical health, and incident coordination. Builds executive relationships, tracks platform usage, leads enablement and business reviews, recommends improvements, and translates technical concepts into business outcomes. Escalates complex data, integration, automation, and configuration issues while partnering with Sales, Engineering, and Product teams.

Own the strategy and architecture for Salesforce’s internal agentic platform, including MCP, model gateways, agent runtimes, retrieval systems, and AI-enabled developer experiences. Establish secure, reliable, observable, and cost-effective patterns for production agents, models, tools, and enterprise knowledge. Prototype and validate architectures, guide implementation, align engineering and business stakeholders, review critical designs, communicate decisions, and mentor technical leaders.

Optimize Agentforce Operations’ distributed backend systems for scalability, resilience, and performance. Responsibilities include diagnosing architectural issues, improving data models and asynchronous operations, tuning infrastructure and databases, developing observability and experimentation tools, preventing regressions, collaborating across teams, and mentoring engineers. The role requires deep expertise in backend engineering, distributed systems, performance optimization, Golang, GraphQL, Postgres, and cloud infrastructure, with AWS experience preferred.

Develop and deliver Salesforce Agentforce environments, AI agent development standards, support-agent integrations, and reliable data pipelines within the internal Epic Org platform. The role partners with internal builders and customers, improves operational stability, supports audits and feature adoption, establishes engineering best practices, and enables AI-driven productivity. Responsibilities include server-side application development, AWS deployments, enterprise build pipelines, automated testing, performance analysis, dashboards, and ongoing support and enablement.