Salesforce

Manager

• Lead the monthly consolidation and analysis of divisional cash flow forecasts to build a comprehensive corporate cash position
• Reconcile monthly cash flows against global positions and develop next-generation balance sheet and liquidity models
• Drive process scalability by automating data reporting within the Global Treasury Management System (TMS) and integrating AI agents for predictive accuracy
• Partner with FP&A to develop long-range financial plans, assessing capital structure requirements for M&A, CAPEX, and shareholder return initiatives
• Collaborate with Accounting, Tax, Investor Relations, and divisional finance leads to ensure alignment on global cash movement
• Provide high-level analytical support to Senior Treasury leadership on capital markets, FX hedging, and investment portfolio performance

Treasury Manager

• Design, build, and maintain the core analytical models that inform goal setting
• Develop and manage forecasting models to predict future performance against key goals
• Manage the end-to-end technical process for setting and tracking Customer Success performance targets
• Monitor performance against goals and translate complex model outputs into actionable narratives and dashboards for senior leadership
• Design and own the suite of level dashboards that track Customer Success performance
• Partner with Data Science, Product, and Analytics teams to integrate new data sources

Senior Manager, Target Setting, Data Modeling, Dashboarding

Security Engineer

• Build and deploy intelligent, data-driven systems that utilize machine learning and AI agents to enable real-time attack pattern identification, risk assessment, and proactive defense across Salesforce products and global infrastructure.
• Lead the integration of Large Language Models (LLMs) and autonomous agents with security data pipelines.
• Oversee the end-to-end lifecycle—including development, release, monitoring, and operation—of ML models and AI agents to ensure they deliver high-impact protection at scale.
• Develop autonomous AI agents capable of executing complex security tasks, such as performing advanced data correlations, identifying specific attack patterns, conducting automated penetration testing, and analyzing security impacts.
• Engineer platforms that synthesize large-scale security telemetry into actionable risk intelligence and automated decisions.
• Partner closely with security engineers, infrastructure teams, and product stakeholders to deeply understand the threat landscape and design solutions that address high-priority security problems.
• Apply LLMs and prompt engineering to automate generation of security insights, explanations, and response workflows from detections and anomalies.
• Continuously improve algorithmic performance with a focus on detection, classification, and behavioral modeling in security and threat intelligence domains.
• Collaborate effectively with team members and suggest improvements to reduce time-to-detection and mature our security ML platform.

Security Data Science Engineer

Research Scientist

• Own and execute hands-on work across the full model development lifecycle , including data preparation, model training, fine-tuning, evaluation, iteration, and deployment readiness.
• Lead end-to-end research initiatives on LLM training, fine-tuning, alignment, and optimization for production use cases.
• Design, implement, and iterate on reinforcement learning (RL) and continuous learning pipelines (e.g., RLHF, RLAIF, offline/online feedback loops).
• Conduct rigorous experimentation, ablation studies, and failure analysis to drive measurable model improvements.
• Translate research prototypes into production-grade models that meet latency, scalability, reliability, and safety requirements.
• Serve as the technical POC for complex AgentForce AI projects, driving alignment across research, engineering, product, and platform teams.
• Define best practices for model training, fine-tuning, evaluation, and release readiness.
• Influence architectural and modeling decisions across the AgentForce AI stack.
• Mentor junior scientists and engineers through direct technical guidance and code-level reviews.
• Foster a culture of strong scientific rigor, reproducibility, and ownership.
• Contribute to Salesforce’s external research presence through publications, talks, and collaborations .

Lead Applied Scientist

Account Executive

• Understand unique needs of Mid-Market Non-Profit Clients
• Align mission goals with Salesforce’s capabilities
• Drive strategic partnerships that amplify social impact
• Generate pipeline leading to closed revenue

Named Account Executive, Mid-Market – Non-Profit

Product Designer

• Work on Missionforce, Salesforce products supporting mission-critical work across the U.S. Department of Defense, the Intelligence Community, Aerospace, and Allied Nations.
• Help create new design patterns and collaborate with cross-disciplinary teams to bring bold ideas to life.
• Lead the team in shaping and articulating a compelling product vision, applying expert visualization skills, thought leadership, and close partnership with product and technology leaders.
• Immerse yourself in the full end-to-end experience design process, from storyboards and journey maps to high-fidelity mockups and functional prototypes.

Principal UI/UX Designer, Public Sector

• Manage our best practice intake process and innovate using AI
• Design best practice program frameworks to help OU SPMs drive results faster
• Align with COEs and other global teams to scale best practices and impact
• Support global priority programs throughout the year
• Leverage data (dashboards, reports) to report on Program impact
• Work cross-functionally with stakeholder groups to deliver program

Global Programs Manager

• As leading part of our Enterprise Sales team you will be focusing on one account, closely collaborating with the account’s Global Account Manager and with NAMs of other regions
• Together with an extended team, you will build and implement an account plan to deliver maximum revenue potential
• Manage entire complex sales-cycles nationally, identifying new business opportunities and pitching the value of our full suite of products & services directly to C-level executives and operational decision makers
• Drive opportunities towards contract closing, win and close deals
• Building up new senior business relationships with new buyers in new business domains
• Engage Salesforce C-Level executives and foster meaningful connects on company’s top level
• Forecast sales revenue achievement and activities, while creating sustainable satisfied customers
• Evangelize the Salesforce vision through product demonstrations, in-market events, and account specific initiatives that showcase the future of banking

• Development of a thriving and diverse team who are seen as trusted advisors to our customer(s) and with internal team members
• Supporting Account Executives by participating and leading in client meetings and engaging other corporate resources as required
• Development of a winning team, including recruiting, hiring and training
• Build strong team unity and collaboration
• Leading weekly forecast meetings
• Driving pipeline generation initiatives to maximise revenue generating opportunities for the customer account(s)
• Coach and professionally develop Account Executives regarding strategies to ensure a high level of closure rates and opportunity identification
• Engaging at the C-level in customer organisations
• Develop the Go-To-Market strategy for the account(s)
• Accurate reporting on sales activity and forecasting to Area Sales Management
• Consistently monitoring and enhancing the sales activities of the team
• To be an enabler of an inclusive and winning team spirit

Senior Manager – MuleSoft HLS, SMB

• Help secure AI products and models that are introducing industry-novel security risks and pushing established security boundaries
• Conduct secure design reviews and threat modeling for product teams — identifying risks, attack surfaces, and prioritizing mitigations early.
• Champion shift-left security practices — building security into the SDLC from ideation through deployment.
• Partner with product, and engineering teams to integrate security controls into distributed systems — including Micro-service architecture, cloud services, container platforms, and APIs.
• Support penetration tests, red team findings, and bug bounty remediation
• Surface security considerations for new domains such as AI/ML features, model pipelines, and agent frameworks.

Senior Product Security Engineer

Android Engineer

• Building strong, sustainable infrastructure for the Slack Android client
• Enable feature engineers at Slack to tackle complicated problems quickly
• Lead engineering efforts specializing in UI frameworks or data/networking infrastructure
• Mentor and grow other Android engineers
• Ensure high technical design and code quality for the team

Mid-Senior Engineer, Android Infrastructure

Full-stack Engineer

• Provide Technical Solutions for Business requirements as Customer Zero leveraging the latest in Salesforce products & technologies
• Drive strategic alignment by partnering with EVP’s, SVP’s, VP’s and business leaders to translate complex needs into actionable technical roadmaps and multi‑release plans
• Drive the Agentic Transformation by integrating AI components and agentic patterns into systems & platforms safely and measurably
• Deliver on the Technology Roadmap by partnering with Sr. Business Leaders to execute on an outcome-based roadmap
• Manage Stakeholder Expectations by delivering crisp communication through decision memos, trade‑off proposals, proactive delivery updates, and executive readouts
• Innovate Throughout Delivery by experimenting with, assessing, and demonstrating new products, features and technologies to meet business needs

VP, Software Engineering – Customer Success

Artificial Intelligence

• Define and execute against a product roadmap for compliance tooling and automation, inclusive of AI agents, ensuring alignment with business objectives and customer needs
• Translate business requirements into detailed product specifications and actionable deliverables.
• Collaborate with engineering to build scalable, intuitive, and high-impact solutions
• Engage directly with internal stakeholders to deeply understand pain points and translate them into actionable product requirements
• Lead cross-functional teams through the product development lifecycle, from concept to deployment, ensuring timely delivery of milestones
• Drive prioritization and trade-offs across user experience, operational performance, and technical feasibility
• Regularly present product updates, demonstrations, strategies, and results to leaders, ensuring alignment with organizational goals

Senior Manager, Compliance Tooling – AI

Learning and Development

• Design and implement enterprise-wide programs to develop 10,000+ managers into agentic leaders capable of orchestrating Human+AI teams and leveraging ambient agents for business outcomes
• Create executive development experiences that build AI fluency, strategic AI thinking, and capability to lead agentic enterprises using the 4Rs framework
• Partner with leadership teams to embed AI coaching capabilities and agentic management practices to drive retention and succession planning across all critical roles, levels, functions
• Collaborate with technology teams to embed AI coaching capabilities into manager workflows, providing real-time guidance on team development, retention risk factors and performance conversations
• Establish and track business impact measures including productivity gains, innovation metrics, and revenue growth in AI-fluent teams
• Establish and implement AI fluency standards, metrics, operational rigor, ensuring 75,000+ employees develop appropriate AI capabilities
• Build dynamic skilling frameworks that evolve with AI advancement, focusing on problem framing, orchestration, adaptability and Human+AI collaboration skills
• Lead the shift from traditional skill development to agentic capabilities including AI tool mastery, prompt engineering, and intelligent automation
• Design capability development programs that drive retention by providing continuous, personalized growth opportunities aligned with career aspirations
• Leverage AI to create individualized learning journeys that adapt in real-time based on learning patterns, performance data, and business context
• Build systems that dynamically surface relevant learning content, mentorship opportunities, and career movements based on individual capability gaps and goals
• Create learning experiences that automatically adjust difficulty, content type, and pacing based on learner progress and business priorities
• Partner with ES Product, DET, AI Council, etc to build or buy the best in class solutions/offerings to enhance our portfolio and continue to be leaders in the industry.

Vice President, Agentic Talent Development

Financial Planning and Analysis

• Own/Lead AI based topline forecasting, analytics and reporting automation.
• Be the topline analytics engine: Collaborate with FP&A/Finance, Data Science & Engineering and Data/Operations teams to deliver topline forecasting and business insight automation at scale.
• Drive ML Model development for bookings/attrition/revenue forecasting and incorporate it into the broader forecasting rhythm.
• Lead and pave the path forward for advanced analytics using AI and ML to drive a step-change in topline forecasting and insight generation / reporting.
• Translate complex data findings into actionable insights for stakeholders, and with a focus on explainability where AI is used.