Salesforce

Data Analyst

• drive scalable solutions to improve efficiency and productivity across the AMER Business Development organization
• leverage technical background to model ROI and quantify impact
• optimize technology usage within Salesforce to support outbound BDR motions
• identify challenges and deliver data-driven solutions
• write efficient SQL queries to extract and manipulate large datasets
• build and maintain Tableau dashboards to visualize key performance metrics
• partner with business stakeholders to translate requirements into data models
• ensure data accuracy and integrity through validation and monitoring
• support ad hoc data requests and analysis to inform strategic initiatives
• create and deliver executive-level presentations

Senior Data Analytics Analyst

Manager

• Engage directly with customer executives to understand their priorities and co-develop strategic investment cases tied to their business goals
• Partner with sales leadership on high-priority accounts to shape pursuit strategies, qualify opportunities based on business impact, and accelerate deal cycles
• Facilitate customer workshops to uncover key business drivers, identify transformational opportunities, and quantify financial outcomes (e.g., ROI, TCO, payback period)
• Lead the creation of compelling business case narratives and executive presentations that communicate Salesforce’s differentiated impact
• Partner cross-functionally to shape commercial strategies and support deal negotiations, aligning customer value with Salesforce growth objectives while proactively identifying and mitigating strategic, competitive, and operational risks
• Post-sale, partner with customer success and sales teams to track and communicate realized value
• Drive internal enablement, methodology evolution, and best practice sharing across teams, while mentoring junior team members

Senior Business Value Services Manager

Systems Engineer

• Lead end-to-end implementation and enhancement of Vertex tax solutions across Finance and Revenue systems
• Configure and optimize Vertex (O Series / tax engines), including tax rules, jurisdictions, exemptions, and reporting
• Design and build integrations between Vertex and ERP, Billing, Revenue Recognition, and Order Management systems
• Define tax data flows, transaction mappings, and reconciliation controls across systems
• Partner with Finance, Tax, Revenue Operations, and Engineering to translate regulatory and business requirements into scalable technical solutions
• Troubleshoot tax calculation issues, integration failures, and reconciliation discrepancies
• Establish integration standards (API contracts, payload structures, error handling, monitoring)
• Drive performance, scalability, and compliance in high-volume transaction environments
• Contribute to architecture reviews and promote engineering best practices
• Ensure audit readiness, strong documentation, and SOX compliance where applicable

Senior Tax Systems Engineer – Vertex

Product Marketing

• Provide specialist MuleSoft & Integrations product & implementation expertise to help position, scope, and schedule MuleSoft Professional Services engagements, including for both customer-funded and internally funded engagements
• Partner and build strong relationships with License Sales and Professional Services OU counterparts to educate on the positioning and representation of our Services offerings
• Engage customers, including C-Level , using a consultative selling approach that positions Salesforce and yourself as a long-term trusted advisor relationship
• Use industry expertise and business insight to understand customer motivation, business drivers, strategic goals and desired business outcomes
• Create a compelling vision and clearly communicate our transformative solutions with the goal of generating significant success and business value from a customer's investment
• Continuously explore opportunities with existing customers regarding ‘add on’ services
• Contribute to the development of internal methodologies and standardized approaches for use across Services OUs and other regional Practices
• Meet individual Services KSOs (Key Strategic Objectives), including individual utilization and individual Services bookings influenced
• Flexibility to travel across other North American locations (typically 10%-25% per quarter)

Mulesoft GTM Specialist – Practice Director

Customer Success Manager

• Serve as the single point of customer accountability responsible for the delivery of all Signature deliverables, the overall customer experience, and renewal and expansion
• Coordinate all deliverables the customer is entitled to, overseeing the experience throughout the Signature lifecycle
• Act as a trusted advisor by gaining trust through mutual goals, understanding the customer’s business model, and applying proven solutions to their problems
• Monitor and conduct quarterly reviews, identify trends, and provide tailored release recommendations to ensure stability, performance, and feature enhancement
• Forge strong multidisciplinary relationships with Sales, Engineering, and Product Management to lead and coordinate customer relationships for success and revenue opportunities
• Develop and maintain strong relationships at key stakeholder levels, including cultivating executive-level relationships within customer IT and business leadership

Customer Success Manager – Informatica

Business Operations

• Lead 1–2 key operational projects simultaneously, maintaining responsibility for timelines, data analysis, and implementation
• Partner with teams across Salesforce (Sales, Product Operations, Finance, Deal Desk) to ensure operational alignment and data integrity
• Develop business cases and status reports for leadership to track the effectiveness of new process implementations
• Identify gaps in current workflows and data processes, delivering actionable recommendations that improve operational efficiency and scalability
• Drive the cadence of key GTM operational processes ensuring consistent execution and accountability across teams

Manager, Business Operations

Architect

• Be a trusted Agentforce + Data Cloud subject-matter expert for the broader Success Architect organization, including how Data Cloud relates to the success of AI
• Engage with our Signature and Strategic customers to evaluate and recommend optimization strategies for technical architecture, dev/ops, performance, and solution design specific to Agentforce + Data Cloud
• Identify and evaluate capability gaps for standard product capability or identify creative Architect solutions through customization
• Facilitate and influence Executive stakeholders while aligning technology strategy to business value and ROI
• Run playbooks aligned with our Success Architect engagement catalog, tailored to the unique needs and opportunities of Agentforce + Data Cloud customers
• Build strong relationships with both internal and external business partners, contributing to broader goals and growth
• Drive thought leadership through mentoring and knowledge sharing

Success Architect, Portuguese Speaker

Backend Engineer

• Support the identification, operationalization, and measurement of sales programs targeting new revenue and attrition risk.
• Partner closely with aligned EMEA and APAC sales and renewals teams, serving as a reliable resource and point of contact.
• Build reports and dashboards to track program performance and surface insights for senior leadership.
• Assist in preparing executive-ready presentations summarizing program impact, successes, and opportunities.
• Contribute to cross-functional projects representing the Success Plans team and help drive strategy forward.
• Navigate time zone complexity and regional nuance to effectively support globally distributed teams.

Success Plans Go to Market Programs Specialist

Data Scientist

• Deploy Cutting-Edge Data Science & Integration Innovation from API-led integration ecosystems to orchestrated operational workflows to advanced ML pipelines directly at customer sites in defense, intelligence, and aerospace environments.
• Become a Trusted Partner Embedded with Mission Owners, working in classified and unclassified environments to deeply understand operational challenges and translate them into end-to-end data science and integration solutions using best-fit tooling.
• Drive Innovation at the Front Lines by serving as the connective bridge between customer missions and internal engineering teams, gathering frontline feedback to help co-design integration patterns, workflow templates, and data science capabilities that strengthen national security outcomes.
• Improve Efficiency, Mission-Readiness, and Trust by helping the U.S. and allied governments deploy integrated data technology stacks that deliver faster response times, better personnel utilization, and more effective logistics and asset management.
• Drive Tangible Outcomes through Hands-On Implementation, taking responsibility for end-to-end technical delivery of complex data pipelines, integration flows, and predictive models—personally writing critical code, configuring systems, and troubleshooting issues in the field while guiding junior team members.
• Build Transformative Data Science Solutions by taking primary ownership of designing, developing, and implementing high-quality, scalable production ML and analytics systems, including predictive models, intelligent automation pipelines, and LLM-augmented workflows.
• Engineer Bespoke Integration Architectures, designing and building custom API-led integrations using enterprise integration platforms to ensure seamless connectivity across enterprise data sources, operational systems, and cloud environments in highly regulated settings.
• Orchestrate Complex Workflows, leveraging modern workflow automation and process orchestration platforms to model, automate, and optimize multi-stakeholder operational processes in manufacturing, logistics, supply chain, and mission operations contexts.
• Own the Entire Data Lifecycle on-site with customers—from strategic data modeling to hands-on ETL/ELT pipeline construction, feature engineering, and integration strategy—ensuring data is always ready, optimized, and secure for advanced analytics and AI applications.
• Lead Rapid Prototyping and Iteration, developing proofs-of-concept and MVPs side-by-side with customer teams to demonstrate data science and integration capabilities and set the pace for rapid, mission-aligned delivery.

Forward Deployed Engineering Lead – Data Science, Integration

Account Executive

• Responsible for selling Tableau Analytics into organizations with 75-500 employees
• Lead a territory of nonprofit accounts; hybrid of net new and install accounts, focusing on hunting new business and expanding existing
• Partnering with internal resources to drive additional value and expertise
• Generating consistent pipeline that leads to closed revenue and quota attainment
• Selling on value and return on investment vs. technical functionality
• Building credibility and trust while influencing buying decisions
• Uncovering business initiatives and struggles to map back our solutions across multiple lines of business

Cloud Account Executive, Mid-Market Non-Profit

• Understand unique needs of Mid-Market Non-Profit Association Clients
• Align their mission goals with Salesforce’s capabilities
• Drive strategic partnerships that amplify social impact
• Generate pipeline that leads to closed revenue and quota attainment
• Sell on value and return on investment vs. technical functionality
• Build credibility and trust while influencing buying decisions

Named Account Executive, Mid-Market – Non-Profit Associations

Financial Planning and Analysis

• Define the integration architecture for complex, high-stakes data flows
• Build and maintain validation frameworks that ensure data stays consistent
• Drive observability across the platform by implementing telemetry
• Lead and mentor a platform engineering team
• Own the DevOps and testing strategy including CI/CD pipelines
• Translate business requirements into technical roadmaps
• Design for agentic systems to navigate sensitive data
• Ensure GenAI data readiness while maintaining data sovereignty standards

Lead Software Engineer, Employee Success – Finance Platform

Support Engineer

• Respond to customer accessibility cases with urgency, warmth, and technical precision — bringing both quick turnaround and genuine care to every interaction
• Reproduce and investigate accessibility issues firsthand using assistive technologies (including screen readers like JAWS, NVDA, and VoiceOver) across Salesforce's platform and ecosystem to truly understand what a customer is experiencing
• Build hands-on accessibility demonstrations and working test environments within the Salesforce ecosystem to isolate, validate, and document accessibility barriers for customers and the internal product team
• Lead live customer calls with confidence — at times advocating on behalf of the customer to our product team when a real defect needs to be prioritized, and at other times guiding the customer to a clear understanding of platform capabilities, standards, and roadmap realities
• Serve as a technical liaison between customers and the product team, escalating validated accessibility issues with detailed reproduction steps and advocating for fixes based on real-world customer impact
• Develop growing expertise in assigned areas of Salesforce product functionality and apply that knowledge to help customers navigate complex accessibility challenges
• Create knowledge base materials and documentation that improve resolution efficiency for the broader support team and empower customers to self-serve
• Share discoveries and best practices with teammates — we learn fast together here
• Evangelize accessible design and development, both within Salesforce and with our customers, helping raise the bar on what "accessible" actually means in practice

Technical Support Engineer – Accessibility

Full-stack Engineer

• Architect and implement the technical roadmap for the Security Data Platform
• Lead the hands-on development of scalable, secure, and reliable platform capabilities
• Partner with data producers to architect high-quality data ingestion patterns
• Define and implement robust monitoring, alerting, and automated testing frameworks
• Elevate the engineering bar by conducting rigorous code reviews and mentoring junior/mid-level engineers
• Identify and prototype opportunities to incorporate AI/ML for advanced risk assessment

Software Engineering, SMTS

• Lead sales enablement for product launches.
• Design and deliver the programs, content, and sessions that give sellers confidence to position and sell Slack.
• Be a product subject-matter-expert who is able to clearly represent the value of innovations and tailor messaging for any audience, from BDRs to sales leaders.
• Build ongoing sales plays and programs.
• Develop the messaging, competitive content, use cases, and sales plays that help sellers generate pipeline and close deals.
• Track win/loss trends and competitive signals.
• Stay close to how deals are won and lost: gathering seller feedback, competitive insights, and deal data to sharpen messaging and inform GTM priorities.
• Be the internal expert on where Slack wins and why.
• Develop and scale GTM content with AI.
• Build and manage AI-powered workflows and agents to keep content current, relevant, and tailored for different audiences.
• Use data to identify gaps, prioritize what to build, and measure the effectiveness of sales programs.
• Own key sales communications and updates.
• Own the seller newsletter and launch communications that keep sales teams informed and activated.
• Drive cross-functional alignment.
• Partner closely with product, sales, marketing, and strategy teams to align on priorities, incorporate feedback, and co-create the highest impact programs.