Salesforce

Financial Planning and Analysis

• Provide technical leadership for the DET IT Finance Engineering team
• Foster a culture of innovation and leverage AI and automation to enhance finance operations and integrations
• Guide and support software engineers working on Workday Finance, Accounting Center, and MuleSoft integrations
• Lead the architecture, design, and delivery of scalable, high-performing solutions across Workday Financials, Accounting Center, and related enterprise platforms
• Design, develop, and govern Workday Financial solution including integrations with external systems ensuring best practices, scalability, and maintainability
• Translate complex business and finance requirements into robust technical designs
• Ensure adherence to coding standards, security best practices, and performance optimization techniques
• Mentor and guide engineers through architecture reviews, technical decision-making, and code reviews
• Collaborate with cross-functional teams to deliver end-to-end solutions
• Drive innovation and adoption of emerging technologies including AI/ML, automation, and integration tools

Lead Workday Finance Engineer

Vice President

• Define the partner collaboration model, delivery expectations, and compliance standards for the AFLS SI ecosystem
• Serve as the key point of contact with Partner Sales and Partner Success teams
• Support the design and execution of the partner enablement program
• Track and report on partner compliance metrics and ecosystem health
• Serve as the senior escalation point for partner compliance failures
• Co-author thought leadership content with the SVP and pillar leads on AFLS implementation strategy and best practices

VP, Ecosystem Lead

Artificial Intelligence

• Be responsible for the end-to-end technical delivery of complex AI solutions, personally writing critical code, configuring systems, and troubleshooting issues, while also guiding and reviewing the work of junior team members to ensure successful deployment and measurable business impact
• Take primary ownership of designing, developing, and personally implementing high-quality, scalable production systems
• Work directly with customers to design and build custom intelligent agents using the Agentforce platform, ensuring they precisely meet unique business requirements and integrate seamlessly with existing customer ecosystems
• Own the entire data lifecycle, from strategic design of data models to hands-on building of efficient processing pipelines and establishing seamless integration strategies
• Identify, analyze, and directly resolve the most complex technical challenges during all phases of solution delivery
• Lead the development of bespoke intelligent agents, automate intricate business processes, and craft intuitive user experiences
• Embed yourself deeply with client teams to truly grasp their operational challenges and strategic goals
• Perform detailed analysis, debugging, and root cause identification for complex system interactions, data flows, and AI model behaviors to optimize performance, ensure reliability, and prevent recurrence of issues
• Quickly develop proofs-of-concept and minimum viable products, often coding alongside client teams to demonstrate capabilities and gather feedback for iterative refinement
• Directly apply and evangelize engineering best practices for code quality, scalability, security, and maintainability across all deployed solutions

AI Forward Deployed Engineer – Senior/Lead/Principal

• Support large-scale, cross-functional organizational transformations by managing headcount capacity models, tracking in-seat and year-end targets by operating unit, and providing hiring guidance that aligns workforce planning decisions with financial budgets.
• Develop an in-depth understanding of global bookings metrics (ACV, NNAOV, etc.), Go-to-Market (GTM) sales leadership structure, and the Salesforce business model.
• Become the team's go-to expert in the consumption business model, including modeling and metrics (i.e., CCR).
• Develop meaningful reporting and analysis to drive consumption growth.
• Work across global finance, operations, and distribution teams to accurately report and unlock insights that measure growth potential and business health.
• Lead the development and enhancement of complex financial models to drive business planning and long-term strategic initiatives.
• Analyze large volumes of standard datasets using tools such as SQL and Tableau.
• Deliver high-quality monthly and quarterly management reporting packages, focusing on the "why" behind the numbers.
• Deliver insights that influence business leaders to better understand and manage critical metrics.
• Own the consolidation of functional expenses and headcount, providing enterprise-level analysis that informs executive decision-making.
• Drive the monthly and quarterly forecasting and close processes, ensuring global alignment on timelines and data integrity.
• Troubleshoot operational issues as they surface; propose changes to systems/processes to fix root causes.
• Act as a key liaison across F&S, the Finance Data Office, and Controllership to ensure accuracy and strategic alignment.

Senior Financial Analyst – Sales Finance & Strategy

Solutions Engineer

• Coordinate dedicated workshops to help our partners understand the key selling points of Informatica’s platform and the role it plays within the Salesforce ecosystem.
• Perform all activities leading up to the delivery of a customer demo including discovery, technical qualification/fit, customer presentations, standard demos, and related customer facing communication.
• Respond to Request for Information/Proposal documents.
• Manage customer and partner engagements without support.
• Collaborate with Product Management, Engineering, and Product Marketing to continuously improve Informatica's products and marketing.
• Share best practices, content, and tips and tricks within the primary area of responsibility.
• Stay current on certification of services required for area of responsibility.
• Partner with the CSM team on nurture activities including technical advisory, workshops, etc.
• Provide customer and partner feedback on product gaps.
• Support demos at marketing and partner events to drive pipeline generation.

Informatica Partner Solution Engineer – Pre-Sales

Director

• Serve as the primary people advisor to the President & Chief Infrastructure Officer
• Provide business-grounded counsel on talent strategy, organizational health, operating rigor, and leadership effectiveness across mission-critical infrastructure domains
• Influence executive decisions by translating infrastructure strategy, regulatory requirements, and investment priorities into clear people implications
• Lead and develop a team of ESBPs supporting Infrastructure sub-functions
• Drive consistency and quality across partnerships while respecting distinct functional requirements (security, physical infrastructure, public sector, etc.)
• Lead end-to-end talent planning, succession strategy, and leadership pipeline development for Infrastructure
• Act as a senior change agent during infrastructure transformation, capacity expansion, regulatory shifts, or security-driven operating model changes
• Leverage workforce analytics, attrition risk modeling, capacity forecasting, and business performance data to inform proactive talent decisions
• Identify structural risks to availability, security, or compliance stemming from talent gaps or leadership capacity

Senior Director, Employee Success Business Partner

• Architect and govern the integration landscape between Workday and Salesforce's broader enterprise ecosystem
• Translate complex HR and Finance business strategies into reusable, well-documented integration platforms
• Partner with HR and Finance business stakeholders to define data integrity standards
• Mentor lead and staff engineers, lead architectural review processes, and establish guardrails

Lead Software Engineer, ES & Finance Platform

Android Engineer

• Shape the future of productivity on mobile by leading the architecture and technical strategy behind experiences used by millions of Slack users every day.
• Lead complex, cross-functional initiatives from early technical exploration through production rollout and long-term evolution.
• Partner closely with Product and Design to shape experiences that balance user needs, technical constraints, and long-term maintainability.
• Identify platform-wide opportunities to improve performance, reliability, accessibility, and developer productivity.
• Influence engineering decisions beyond your immediate team through technical leadership, design reviews, and mentorship.
• Establish best practices for Android development, testing, observability, and operational excellence.
• Help evolve Slack's mobile architecture and infrastructure to support future product investments, including AI-powered experiences.
• Mentor senior engineers and contribute to the growth of the broader Android engineering community within Slack.

Staff Software Engineer, Android

Full-stack Engineer

• Build and maintain platform services and automation in Go and Python that help manage Kubernetes clusters across AWS, Azure, GCP, and OCI.
• Contribute to continuous deployment pipelines using GitOps tooling (Flux, Argo CD) and infrastructure-as-code frameworks (Pulumi, Terraform) to enable safe, repeatable releases.
• Take part in fleet initiatives such as cluster lifecycle automation, upgrades, policy enforcement, and observability improvements, with guidance from senior engineers.
• Partner with SRE, security, and product engineering teams to understand their needs and help deliver self-service platform capabilities that reduce toil.
• Be an AI amplifier: use AI tooling in your everyday engineering workflows — agentic coding assistants (e.g., Claude Code) for development, code review, automation, and operational runbooks — to force-multiply your output as you ramp.
• Develop an agentic mindset: learn to spot repetitive operational work and propose agent-driven or AI-augmented automations that reduce manual effort.
• Participate in design reviews and code reviews, write clear technical documentation, and grow your platform and cloud-native expertise.
• Join on-call rotations as you ramp and help improve the operational posture of the platform through automation and post-incident learning.

Software Engineer – MTS

Backend Engineer

• Lead delivery of client engagements for designing and implementing Salesforce Analytics centered technical solutions
• Determine the technical approach based on the scope of work, design and implement the solution architecture
• Manage client relationships and expectations
• Be an expert in the features, benefits, and application of Tableau Server and Cloud
• Deploy Tableau Server environments and integrate them with client data
• Leverage expertise in Tableau APIs to provide custom solutions
• Maintain key client relationships
• Communicate with impact, clearly articulate client recommendations
• Provide client enablement support for technical resources
• Proactively identify ways for Tableau Services to enable clients

Tableau Technical Architect, Secret Clearance

Product Manager

• Drive growth in Revenue Cloud by building CLM features to support key enterprise customer needs across contract authoring, negotiation, execution, amendments, and renewals.
• Own the product vision for Salesforce Contracts.
• Be an expert on CLM use cases, legal operations domain, and the competitive landscape.
• Define and drive the AI strategy for contracts — including clause intelligence, contract playbooks, AI-assisted redlining, and Agentforce-powered contract agents.
• Collaborate with UX and the technology team to develop, test, and deliver assets to engineering — from clause library design to document generation workflows.
• Evangelize the vision to customers, team, and stakeholders and ensure that it aligns with the overall Revenue Cloud and company vision.
• Build and deliver a roadmap that excites customers and colleagues alike by building a well-defined backlog spanning contract authoring, negotiation, compliance, and analytics.
• Partner closely with adjacent product teams (CPQ, Billing, Document Generation, Data Cloud, Agentforce) to deliver a seamless quote-to-contract-to-cash experience.
• Manage and expand relationships between Product and Engineering teams to deliver world-ready products and internationally applicable features including multi-language contracts and regional compliance.
• Embrace a culture that measures and rewards customer adoption and success.
• Define what success means for everything you release before it's built.
• Develop ways to consistently define and monitor success.

Senior Product Manager

• Define product vision and strategy for AI-driven capabilities within Employee Service.
• Lead the conceptualization and delivery of Agentic AI workflows.
• Drive product and architectural decisions around LLM integration.
• Design robust evaluation frameworks for AI agents.
• Engage directly with enterprise customers to understand complex pain points.
• Collaborate deeply with engineering, data science, and UX teams.

Product Management Director

Customer Success Manager

• Drive quantifiable business impact across complex multi-org Signature customers
• Maintain a continual focus on the customer’s business goals
• Act as a primary strategic partner to improve customer adoption and technical health
• Organize information across multiple work streams and integrate customer priorities
• Develop strong working knowledge of Salesforce’s major solutions
• Mentor team members to help accelerate their personal development

Senior Customer Success Manager

• Act as the primary technical subject matter expert during the pre-sales cycle for complex, transformational engagements.
• Provide deep product and platform expertise on Salesforce and its emerging technologies.
• Lead the high-level technical solutioning to ensure the proposed architecture is viable and aligns with best practices.
• Validate the technical viability, scalability, and security of all proposed solutions, identifying and managing technical risks early.
• Clearly define and document the findings, plans, and technical solution designs resulting from POCs and discovery workshops.
• Provide detailed technical sizing and estimation input for complex or specialized solution components.
• Translate complex business requirements into a concrete high-level technical solution design.
• Serve as a trusted technical advisor to client stakeholders, particularly IT leaders, enterprise architects, and technical SMEs.
• Facilitate technical discovery and in-depth solutioning workshops with customer architects and SMEs.
• Work closely with internal Subject Matter Experts and Product teams to validate solutions for emerging technologies or highly custom requirements.
• Ensure the technical solution design is clearly documented and understood for a seamless transition to the delivery team.
• Provide general technical oversight and guidance during the final SOW review to ensure technical commitments are clear, achievable, and well-defined.
• Identify and proactively manage technical risk areas regarding the proposed solution architecture.
• Formulate and articulate the technical strategy and design to C-level executives and senior IT leadership, building buy-in for the proposed solution.
• Contribute to the community's overall knowledge base by sharing technical best practices, demo assets, and solution patterns.
• Develop innovative technical solutions to complex business and architectural issues.

Services Sales Solution Architect – Pre-Sales

• Architect and implement high-scale systems that manage agent data access patterns, including guardrails, traceability, telemetry, and auditability
• Contribute to the design of the technical infrastructure required for the future of agents and be deeply involved in code production, code reviews, and design decisions
• Partner with Product, Security, and Business Units to ensure agents operate with the correct data access permissions and governance controls
• Lead technical direction for the team — set standards, mentor engineers, and drive alignment across a cross-functional group of stakeholders
• Adopt and advocate for AI-first development patterns across the engineering organisation
• Evaluate and evolve the team's use of emerging agentic frameworks and tooling as the landscape matures