Salesforce

Learning and Development

• Define and evolve the enterprise strategy for agentic manager capability.
• Own the strategy, design principles, and roadmap for the Agentic Learning ecosystem.
• Lead change strategy for large-scale manager behavior change globally.
• Define success metrics tied to manager effectiveness and talent outcomes.

Director of Agentic Leadership Development

Data Engineer

• Design, develop, and maintain AI-powered developer tools, engineering automation, and productivity accelerators using modern AI platforms such as Claude, Cursor, Windsurf, GitHub Copilot, and related technologies
• Build and maintain end-to-end MDM integration systems, including MuleSoft integrations, Airflow-based workflows, API orchestration layers, event-driven architectures, Change Data Capture (CDC), and batch processing pipelines
• Implement entity resolution, golden record lifecycle management, hierarchy processing, data quality validation, and governance capabilities
• Build and maintain integrations with third-party data providers such as Dun & Bradstreet, Moody's, and Leadspace to support data enrichment and corporate hierarchy management
• Design and optimize data models, database schemas, APIs, and integration patterns supporting MDM business requirements across hierarchical, relational, and party data structures
• Build production-grade solutions with strong monitoring, alerting, operational supportability, and security by design
• Drive adoption of AI-assisted software engineering practices to improve developer productivity, testing efficiency, and delivery speed
• Participate in design reviews, code reviews, operational readiness reviews, and release activities
• Troubleshoot complex production issues, drive root cause analysis, and implement scalable long-term solutions
• Collaborate effectively with globally distributed teams across multiple time zones
• Architect and evolve end-to-end MDM integration systems and define technical strategy for entity resolution, golden record lifecycle, hierarchy management, data quality, and governance across multiple business domains
• Lead design reviews and establish engineering standards for scalability, observability, resiliency, security, testing, and operational excellence
• Partner with PMTS, Product Owners, TPMs, and business stakeholders to define architecture, roadmap priorities, solution designs, and delivery plans aligned with business objectives
• Provide technical leadership across internal engineering and systems integrator teams

Data Engineer – SMTS, LMTS, MDM

• Define and drive the long-term technical vision, architecture, and roadmap for Salesforce's Enterprise Knowledge Graph platform.
• Lead architecture and design for knowledge graph ecosystems, including graph data models, ontologies, semantic layers, entity resolution frameworks, graph APIs, vector search capabilities, and retrieval architectures supporting AI and agentic use cases.
• Establish enterprise standards, governance models, engineering patterns, and best practices for Knowledge Graph development, deployment, and lifecycle management.
• Define strategies for integrating structured, unstructured, and third-party data sources into graph-based platforms using scalable data engineering patterns.
• Partner with Architecture, Product, AI Platform, and Data Engineering organizations to align platform investments with enterprise priorities and future AI initiatives.
• Drive technical direction for semantic routing, graph-powered retrieval, enterprise search, agent orchestration, and federated knowledge access patterns.
• Lead evaluation, selection, and adoption of graph technologies, semantic platforms, vector databases, and AI infrastructure required to support enterprise-scale workloads.
• Define and drive the strategy for AI-powered developer tooling, engineering automation, and productivity platforms that leverage technologies such as Claude, Cursor, Windsurf, AI Agents, MCP frameworks, and related AI ecosystems.
• Lead teams in productionizing AI-enabled engineering solutions, ensuring scalability, security, governance, reliability, and measurable productivity improvements.
• Provide technical leadership and architectural guidance across PMTS, LMTS, SMTS, and contractor teams while driving alignment across multiple organizations.
• Serve as the primary technical authority for complex architectural decisions, platform investments, and long-term engineering strategy.
• Foster innovation and continuous improvement while establishing a culture of engineering excellence, technical rigor, and operational maturity.

Principal Data Engineer – MDM

Sales

• Lead, scale, and inspire a sales organization
• Partner with C-level client executives
• Exceed Operating Unit growth and bookings targets
• Conduct rigorous weekly forecast meetings
• Lead and develop teams of qualified, customer-focused Account Partners
• Engage at the C-level with customers
• Build deep, positive relationships with the License Sales (Core) and Alliances/Partner organizations
• Help grow and maintain a healthy partner ecosystem
• Engage actively in the field, including traveling to customer sites

VP, HLS Services Sales

Account Executive

• Achieve and exceed targets for Signature Success plans across bookings, attach, upgrades, and conversions.
• Build, manage and progress Signature Success pipeline in line with targets.
• Daily update of the salesforce.com system with accurate customer and pipeline data.
• Accurate weekly, monthly and quarterly forecasting and revenue delivery.
• Provide sales/deal support on Signature opportunities including presenting tailored value propositions and providing pricing.
• Build trusted relationships with relevant internal stakeholders to review territories and identify strategies and opportunities to sell.
• Evangelize Signature Success internally and externally.
• Act as subject matter expert for Success Cloud products.
• Collaborate effectively with other parts of the organization to address and resolve customer or sales issues.

Account Executive, Federal

• Build positive, trusted relationships with key team members and C-suite decision makers
• Develop opportunities through both warm leads and whitespace prospecting
• Drive customer satisfaction and develop key stakeholder relationships at assigned accounts
• Build and drive the overall long-term account strategy, aligned to customer business objectives
• Coordinate internal Salesforce resources to meet customer business needs
• Perform account planning, coordinating with Prime and Cloud sales resources to ensure strategic alignment
• Share the Salesforce value proposition with existing and prospective customers
• Drive growth within an existing assigned account

Senior Account Executive - Tableau, Public Sector

Solutions Engineer

• A Solution Engineer plays a pivotal role in aligning innovative strategies to technology solutions within complex accounts
• Focus on partnering with clients and collaborating with internal team members and C-level client contacts to drive consensus on multi-product technology solutions
• Assist the customer, Account Executive and Professional Services team with the discovery, analysis and ultimately the recommendation of strategic solutions
• Build and present customized solutions and demonstrations focused on Salesforce products to multiple customer personas
• Convey a deep understanding of the customer's architecture as it pertains to Salesforce's solutions
• Develop and deliver the story of the customer experience aided by Salesforce technologies

Lead Account Solution Engineer – ENT Manufacturing

Operations

• Support the weekly OU forecast process across Renewals
• Drive forecast excellence by coordinating prep for weekly OU forecast calls
• Partner with the Analytics team and perform ad-hoc analyses across multiple data sets and tools
• Evaluate ongoing OU business performance against Targets
• Create executive-level presentations for both local and global leadership reviews

Senior Operations Analyst

Product Manager

• Own product initiatives end-to-end — from problem framing through delivery
• Drive rapid prototyping and experimentation: validate concepts through data, customer feedback, and scrappy testing
• Translate ambiguous problems into clear product requirements and user stories that engineering and design teams can act on
• Conduct customer research and synthesize insights to inform your product decisions
• Collaborate across product, design, engineering, and operations to deliver production-ready MVPs on ambitious timelines
• Maintain product roadmaps, write detailed specs, and define success metrics

Product Manager, Emerging Technology

Financial Planning and Analysis

• Own the development and delivery of consolidated topline performance views that integrate signals across business segments, products, and geographies
• Proactively identify trends, headwinds, and tailwinds in company performance before they surface in standard reporting
• Build bespoke analytical frameworks and datasets - leveraging SQL, Python, and AI-assisted tools - to answer complex, multi-dimensional business questions
• Execute ad-hoc strategic deep-dives for senior leadership, with structured, well-documented outputs suited for executive audiences
• Partner with Corporate Finance, Investor Relations (IR), Product Finance, and GTM teams to align on metric definitions, data sources, and analytical frameworks
• Serve as the analytical connective tissue across functions - ensuring a consistent, reconciled view of topline performance across all reporting contexts
• Synthesize findings and present analytical conclusions to senior stakeholders, translating quantitative outputs into clear business narratives
• Support IR and Corporate Finance & Strategy (F&S) with scenario modeling, growth decompositions, and earnings-cycle analytics
• Maintain authoritative, source-of-truth datasets that serve as the trusted baseline for topline reporting across Corporate, IR, Product, and GTM
• Develop and maintain Tableau dashboards that enable self-service visibility into topline metrics for cross-functional partners
• Identify and drive automation of manual, repeatable reporting workflows using SQL, Python, and AI-enabled tooling to improve cycle time and analytical throughput

Senior Manager, Financial Planning and Analysis

Program Manager

• Partner with product owners: Work side-by-side with PMs to plan, sequence, and execute their projects.
• Help break big problems into shippable milestones and hold the line on scope and timelines
• Drive cross-functional coordination: Own the coordination layer across engineering, design, data, security, and partner teams.
• Proactively identify dependencies and get ahead of blockers before they stall progress
• Navigate partner team complexity: ET projects almost always touch other orgs
• Run project cadences: Stand up and facilitate the right rituals for each project
• Create clarity on status and risk: Maintain honest, clear project health updates
• Enable PM effectiveness: Help product owners level up their execution skills
• Drive continuous improvement: Run retrospectives, identify what's slowing the team down

Senior Product Manager – Project & Program Management, Emerging Technology

• Build and scale Salesforce's Enterprise Knowledge Graph platform components, focusing on performance, data throughput, system reliability, high availability, and robust data integrity
• Develop graph data models, write complex graph queries, and construct scalable data pipelines to ingest and map structured and unstructured data to enterprise ontologies and taxonomies
• Write and maintain Python-based semantic routing frameworks to parse, classify, and dynamically direct incoming queries to the appropriate knowledge graph indexes or vector databases
• Build, integrate, and leverage AI-powered developer tools and engineering automation platforms utilizing ecosystems such as Claude, Cursor, Windsurf, AI Agents, and Model Context Protocol (MCP) frameworks
• Build scalable data pipelines and engineering patterns to ingest, transform, and orchestrate structured, unstructured, and third-party data sources into graph-based platforms mapped tightly to enterprise ontologies
• Own the technical execution of specific platform features from concept through design, coding, testing, and production deployment
• Participate heavily in code reviews, write comprehensive automated unit/integration tests, and ensure adherence to engineering standards and operational best practices
• Provide technical guidance and mentorship to engineers on the team
• Work closely with Lead/Principal Engineers, Product Managers, and Data Engineering teams to deliver robust features aligned with broader enterprise AI priorities.

Data Engineer – SMTS, LMTS, Knowledge Graph, AI

• Provide technical sales partnership to our sales teams and align our solutions to our customers' vision
• Perform technical discovery qualification and deliver product demonstrations and Proof of Concepts
• Deliver technical workshops and make architectural recommendations
• Connect the dots between the technical solution to the business outcomes for the customer
• Build trusted relationships with internal and external partners to qualify deals
• Conduct technical discovery meetings to document, analyze, clarify business and technical requirements

Solution Engineer – Pre-Sales, DataFoundation

Vice President

• Drive Customer Retention & Renewal Outcomes
• Lead the renewals center of excellence to build rigorous renewal forecasting, execution processes, and attrition mitigation strategies
• Establish executive ownership over the end-to-end post-sale customer lifecycle, including onboarding, adoption, expansion, and renewal
• Develop and maintain a unified customer success operating model that improves net retention and reduces churn
• Partner closely with Sales Leadership and Finance to align on renewal targets, pipeline visibility, and at-risk customer strategies
• Create governance structures and operating rhythms for dotted-line success teams to drive accountability and consistency
• Lead adoption programs to accelerate onboarding, product version transitions, and customer value realization
• Lead the development and distribution of AI and agent-based self-service activation guides, programs, and tools for onboarding, product version transitions, and best practices
• Lead a data-driven organization that measures all aspects of product usage and leverages insights to optimize both product performance and customer experience
• Develop vision demos and dynamic architectural illustrations that enhance customer communications and self-service guides
• Lead transformation programs to guide customers in adopting the latest Tableau technologies
• Coordinate across Product Management, Engineering, Customer Success, Product Marketing, and Sales to drive adoption initiatives

SVP, Chief Success Officer – Tableau

• Create, deliver, and manage high-impact, interactive customer workshops.
• Design and develop sophisticated Proof of Concepts (PoCs) and Proof of Technology (PoTs).
• Collaborate directly with customer technical and business teams to build prototype solutions, ensuring a deep sense of co-ownership and technical validation.
• Articulate complex AI architectures and Agentic Use Cases into tangible business value summaries that resonate with C-level financial executives.