Salesforce

Infrastructure Engineer

• Serve as a trusted advisor to C-level executives and IT decision-makers
• Lead infrastructure solution architecture and design via comprehensive requirements workshops
• Ultimate responsibility to execute overall solution architecture
• Review project direction, identify and mitigate risks
• Architect, implement, and support enterprise-grade, secure, and highly available infrastructure
• Scale technical best practices globally

Senior Infrastructure Architect – TS/SCI Clearance

IT Support

• Work with Payers, Providers, Pharma and Medtech companies to solve a wide variety of technical challenges using Salesforce solutions across our whole suite of products and clouds.
• Develop relationships with customer IT stakeholders, and help them to understand how the Salesforce platform fits into their overall technology strategy.
• Act as a trusted advisor, and guide customers towards solutions that have the greatest likelihood of long-term success.
• Hone knowledge of the Salesforce platform through hands-on training and exploration in the areas of customization, integration, and service delivery, and support our account-aligned solution engineers when this deeper level of expertise is needed to solve customer challenges.
• Evangelize the value proposition, benefits, and advantages, of the Salesforce Platform including Hyperforce, Data 360, Agentforce, Mulesoft, Informatica, Slack and more.
• Educate customers and peers on the possibilities of building and customizing Platform applications.
• Strong understanding of AI and Data architecture principles and the competitive landscape.
• Understand and advise on the broad ecosystem of ISV and partner solutions that cooperate and integrate with Salesforce.
• Guide deal strategy by providing insight into the technical buyer, and craft influence strategies that resonate with this audience.
• Keep current with both partner and competitive technologies in order to put proposed solutions into the context of the broader technology landscape.
• Highlight insights from customer conversations with our product teams to help ensure we are moving in the direction of market needs.
• Share your knowledge, best practices, and lessons learned with the broader solution engineering teams to multiply the impact of your work.
• Continue to develop yourself as a technologist and as a presales professional in a supportive, collaborative team environment.

Distinguished Enterprise Architect

Android Engineer

• The Mobile Guardrails team owns the guardrails, delivery signals, and observability that ensure Slack's mobile apps ship with confidence — whether the code is written by a human or an AI agent.
• We make the development process itself better: the build systems, the test infrastructure, the architectural enforcement, and the metrics that tell us where to invest next.
• As a guardrails engineer, you think in systems, not features.
• You see a flaky test and think about quarantine infrastructure, not just a retry.
• You see a 400-file module and think about rebuild radii and dependency graphs, not just a refactor.
• You set a high bar for codebase health and take ownership beyond your immediate area — when something is slowing the team down, you fix the root cause, not just the symptom.
• You are energized by the intersection of developer tooling, AI-assisted development, and mobile platform engineering.
• You thrive in ambiguity, build for the long term, and measure what matters.

Staff Software Engineer, Android

Data Engineer

• Design Search & Retrieval Systems — Build robust search indices that enable AI agents to perform complex, high-precision retrievals across the Salesforce data ecosystem.
• Architect the Agentic Retrieval Layer — Serve as primary architect for the semantic layer and embedding pipelines that ground Agentic AI in Customer Success data.
• Build Inference Infrastructure — Partner with Decision Scientists to develop specialized infrastructure for attribution and causal modeling.
• Drive Operational Excellence — Set and enforce rigorous standards for data quality, latency, and index freshness so agents deliver reliable, real-time insights.
• Lead AI Integration & Automation — Automate the data delivery pipeline, ensuring seamless integration across internal databases, third-party APIs, and the AI orchestration layer.
• Define the Technical Roadmap — Collaborate with product managers and engineering leaders to shape the long-term vision for agentic retrieval, aligned with the broader migration to Data Cloud.
• Mentor & Elevate the Team — Act as a technical pillar for a specialized team of data and AI engineers, fostering a culture of technical excellence and continuous growth.

Lead Data Engineer, AI

Account Executive

• Achieve a dedicated quota for Data Integration products by identifying and closing complex opportunities.
• Act as a technical sales authority on Cloud Ecosystems (AWS, Azure, GCP, Snowflake, Databricks, etc.), articulating how Informatica's IDMC provides the critical connectivity and performance layer for multi-cloud architectures.
• Lead deep-dive discovery sessions to qualify high-volume data movement use cases, including Legacy ETL-to-Cloud migrations, Real-time Streaming, and API-led integration.
• Drive forecasting accuracy and pipeline generation for Data Integration.
• Partner with Chief Data Officers and Enterprise Architects to align Informatica’s integration roadmap with their long-term AI and data engineering strategies.
• Thrive in a collaborative, value-driven environment, sharing best practices and contributing to a high-energy sales culture.
• Lead pricing and consumption capacity scoping efforts.

Informatica Cloud Account Executive, Data Integration

Full-stack Engineer

• Architect Agentic Systems Design and implement new features and functions across the app ecosystem in partnership with Product Managers and data engineers
• Build scalable agentic AI architectures for MCP servers and multi-agent environments
• Implement Advanced Retrieval Design RAG and GraphRAG pipelines to ensure agents are grounded in accurate, high-context, and real-time data
• Optimize retrieval strategies for enhanced agent performance and responsiveness
• Develop infrastructure that delivers seamless, responsive AI experiences for internal and external users
• Integrate Salesforce technologies and open-source tools to create the enterprise agentic data foundation
• Collaborate with Data Scientists to translate evaluation metrics into scalable, production-grade services
• Establish frameworks to continuously measure and improve agent performance
• Define and enforce coding standards, testing strategies, and best practices to maintain high-quality, high-performance systems
• Produce strategic technical documentation that captures architecture, product strategy, and implementation details

Senior Lead, Software Engineer

Program Manager

• Design and launch the Mission Readiness Experience (MRE) program
• Establish relationships and collaborate with the Salesforce recruitment team and our external talent partners
• Build a sustainable, high-impact talent pipeline aligned to Missionforce delivery needs
• Drive measurable business outcomes including billable capacity, certifications, and retention
• Define and operationalize the vision, structure, and roadmap for the Mission Readiness Experience (MRE)

Senior Program Manager, Talent Development Programs

• Engage with existing customers and new leads to sell Salesforce Customer 360 platform
• Build trusted relationships with key team members and decision makers
• Use business development skills to develop opportunities
• Partner with internal teams to drive additional value and share expertise
• Manage and overcome objections
• Research customer personas and industries

Territory Account Executive

Architect

• Serve as a strategic architecture advisor across the full customer lifecycle, spanning presales, solution shaping, delivery guidance, and post-sales advisory.
• Help customers translate complex business transformation goals into scalable, secure, and implementable enterprise solutions across MuleSoft, Salesforce, and adjacent enterprise platforms.
• Define target-state architectures, guide integration and platform strategy, and influence critical technology decisions.
• Lead technical discovery sessions, architecture workshops, design reviews, and customer strategy discussions.
• Partner with sales, account, and delivery teams to shape complex opportunities, respond to RFPs and RFIs, support effort estimation and feasibility analysis, and define differentiated technical strategies for high-value engagements.
• Present solution direction with credibility to both executive and technical audiences.
• Define high-level and detailed architectures using API-led connectivity, event-driven and service-based integration patterns, data movement strategies, and interoperability models.
• Create compelling solution narratives, reference architectures, architecture decision points, and proof-of-concept approaches that clearly connect business outcomes to technology design.
• Review and validate architectures for scalability, resilience, security, performance, maintainability, supportability, and operational fit.
• Guide integration and architecture strategies across enterprise platforms such as Salesforce, SAP, Workday, data platforms, and cloud ecosystems.
• Work closely with implementation and delivery teams to ensure proposed architectures are practical, implementable, and aligned with customer expectations.
• Coach architects, consultants, and delivery teams on integration architecture, Salesforce architecture fundamentals, API strategy, design standards, and architecture review practices.
• Build trusted relationships with customer executives, enterprise architects, program sponsors, and technical leaders.

Lead Architect

• Responsible for managing new and existing Marketing Cloud accounts for Manufacturing & Automotive
• Handle strategic accounts and relationships across the team
• Drive Pipeline development through a combination of cold calling, email campaigns and market sector knowledge/intelligence together with the Business Development Manager
• Build and maintain a sales pipeline to ensure over-achievement within the designated market sector(s)
• Engage with prospect organisations to position salesforce solutions through strategic value-based selling, case definition, return on investment analysis, references and analyst data
• Own the end-to-end sales process through engagement of appropriate resources such as Core Sales teams, Sales Engineers, Professional Services, Executives, Partners etc
• Accurate weekly, monthly and quarterly forecasting and revenue delivery
• Strengthen client relationships through regular engagement and face-to-face meetings

Named Account Executive – Marketing Cloud

• Be the strategic lead for your territory
• Position Tableau as the essential layer of intelligence
• Create and execute account plans
• Meet and exceed sales goals
• Manage the end-to-end sales cycle

Machine Learning Engineer

• Design, build, and operate systems to train, serve, and deploy machine learning models at scale, with a focus on reliability, performance, and operational simplicity
• Evolve GPU backed inference infrastructure to support high throughput, latency sensitive workloads, including large scale model serving
• Architect and optimize distributed training and data processing systems using platforms such as Ray, Airflow, Spark, or similar technologies
• Build and maintain Kubernetes based platforms and orchestration layers using tools such as KubeRay, vLLM, and internally developed services
• Architect solutions that bridge legacy systems with modern technologies while maintaining monolithic application stability
• Develop robust monitoring, observability, and alerting for production ML workloads to ensure operational excellence
• Partner closely with AI Platform, ML modeling, security, and product engineering teams to design infrastructure that supports evolving AI use cases
• Provide technical leadership through design reviews, mentorship, and by setting engineering standards and long term architectural direction for ML infrastructure
• Author technical design and architecture documentation, and contribute thought leadership through engineering blog posts

Software Engineer – Machine Learning Infrastructure

General Counsel

• Review, negotiate, draft, and drive fast turnaround times on high-value agreements (across all industries and sectors other than Public Sector)
• Work closely with sales, privacy, and security teams to ensure smooth and efficient deal execution
• Ensure agreements are consistent with internal corporate policies and processes
• Work hard, move fast, and bring a positive, solutions-driven approach to challenging situations
• Act with kindness and good humor

Counsel, Commercial

• Lead initiatives to disrupt threat actor operations
• Develop high-fidelity technical evidence and attribution data to support criminal prosecution
• Deepen Salesforce’s reach into the broader cyber intelligence community
• Perform expert-level tracking of advanced e-crime and state-sponsored actors
• Build custom scripts, investigative tools, and automation (Python, SQL, Splunk)
• Serve as a technical mentor on the Threat Intelligence team
• Collaborate with Incident Response, Security Engineering, and Platform Defense

Principal Threat Researcher, Software Engineer – Counter-Threat Ops

Support Engineer

• Serve as a Trusted Advisor, drive conversations with our customer's Business Stakeholders armed with best practices for enterprise architecture functions such as Security, Performance, Development Process, Release Management and Application Governance.
• Solve highly visible, technical, global and strategic, enterprise cases and ensure highest levels of customer satisfaction with exposure to all skill groups/areas of the product/platform for the most critical issues.
• Understanding how Signature Support customers use our technology (integration points, implementation setup, etc.) and ensure we understand how they are measured so we can align our success metrics.
• Provide proactive support, including but not limited to; proactive system/limit monitoring and communications, deep Splunk analysis, creating definitions for proactive alerts, working with Customer Centric Engineering and Technical Enablement teams on proactive tuning, and provide recommendations to minimize potential service disruptions.
• Advocate Signature Support customer’s priorities internally within Salesforce.
• Liaise and work closely with the Salesforce R&D and Infrastructure teams on escalated technical issues and product roadmap changes/new features as well as working with R&D on pilot programs.
• Lead the resolution of critical technical issues, providing prompt and complete resolution to technical challenges and business issues.
• Assist developers in troubleshooting their integration with salesforce.com APIs, Apex, Visualforce and implementation of other salesforce.com developer products. This will involve debugging, troubleshooting, and taking responsibility to see that the issue is fully resolved.
• Participation in Signature Support project work, including but not limited to; envisioning and building new monitoring and/or reporting tools, creating or improving existing processes/procedures, as well as developing/providing additional “white glove” support practices associated to incident prediction and prevention capabilities.
• Serve as a Subject Matter Expert (SME) exhibiting the highest level of expertise in providing Salesforce Support.
• Create knowledge base materials dedicated towards operational efficiency while also empowering and enabling the greater support community. Share best practices with team members to enhance the quality and efficiency of customer support.
• Have familiarity with and participate in a follow the sun support model providing consistent hand-offs to the next geography as dictated by the severity and urgency of issues.
• Ability to orchestrate all salesforce teams efforts and ensure we are single point of contact for all post sales support activities.