Support the design, development, testing, and improvement of software, data, and connected-system solutions in a dynamic manufacturing and technology environment.
Responsibilities
Assist with design, development, testing, deployment, and maintenance of software applications, scripts, integrations, or internal technical tools
Write clear, maintainable code using company-approved programming languages, frameworks, development tools, and version-control practices
Support data collection, transformation, validation, and analysis from applications, databases, manufacturing systems, or connected equipment
Assist with development of dashboards, application interfaces, automated workflows, and reporting solutions
Participate in requirements gathering, solution design, code reviews, functional testing, debugging, and user acceptance testing
As a Senior Risk & Compliance Engineer in the Microsoft AI Infrastructure Information Security team, you will independently own defined security risk and compliance areas from initial onboarding and risk assessment through control design, implementation partnership, assurance, continuous monitoring, and improvement.
Compensation
Compliance IC5 - The typical base pay range for this role across the U.S. is USD $116,900 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $148,400 - $222,600 per year.
Responsibilities
Independently manage defined security compliance areas through the end-to-end lifecycle, evaluate applicable laws, regulations, policies, customer commitments, and assurance requirements, and map them to risks, control objectives, controls, systems, evidence, and accountable owners.
Develop strategies and processes for compliance programs, use judgment to anticipate new focus areas as the regulatory, product, technology, and threat landscape evolves, and identify and escalate material non-conformance through appropriate governance channels.
Partner with security and engineering teams to define practical, measurable, and testable controls; identify potential failure points; integrate secure-by-design practices; and establish clear ownership, evidence, monitoring, and remediation requirements.
Analyze system architecture, data flows, configurations, access models, logs, telemetry, scripts, queries, code, and other technical artifacts to assess control design and implementation and identify compliance or coverage gaps.
Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems to ensure system stability and performance.
Responsibilities
Act as an SME, collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Coordinate with stakeholders to ensure timely resolution of incidents and service requests.
Business Manager responsible for operational excellence across business insights, commercial management, internal communications, people initiatives, and business operations within the FX division.
Responsibilities
Conduct ad hoc and recurring analysis of business initiatives, revenue, expenditure, sales activity, product adoption, and client feedback
Review operating expenses, travel and entertainment expenditure, and support the annual budget and planning cycle
Define and maintain business and product-adoption performance indicators
Use approved AI tools to analyze structured and unstructured data and create repeatable reporting
Coordinate business operating rhythm including leadership meetings, planning cycles, action tracking
Lead mixed‑methods research to inform workplace innovation across Salesforce’s global portfolio.
Locations (3)
San Francisco, California, United States
Chicago, Illinois, United States
Atlanta, Georgia, United States
Compensation
The typical base salary range for this position is $117,400 - $177,600 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $140,900 - $193,700 annually.
Responsibilities
Collaborate with Pilots and Space Insights teams across the pilot project lifecycle
Own the mixed‑methods employee research workstream to design, field, and deliver baseline, in‑flight, and post‑pilot insights
Conduct on‑site qualitative fieldwork such as interviews, workshops, and ethnographic research
Creates more complex visualizations and/or reports tailored for consumption by a non-technical audience.
Assists in developing and distributing ad hoc reporting.
Provides support in meetings to translate business needs into clearly defined, well-documented, high-quality requirements to support reporting and visualization projects.
Demonstrates a basic-to-intermediate understanding of the fundamentals of data extraction, validation, and manipulation.
Supports colleagues with a variety of tasks and projects to meet deadlines.
Requirements
Bachelor’s Degree in Business, Data Analytics or related field
Build and maintain production infrastructure that connects AI-driven investment decisions to live financial markets, including data pipelines, order execution, and trade reconciliation.
Responsibilities
Build production infrastructure for AI-driven investment decisions
Solve engineering challenges around reliability, scalability, and precision
Automate workflows and validate pipeline operations
Own end-to-end trading day operations, including alerting and incident response
Requirements
Nice to have: Early-stage investment firm experience
Nice to have: LLM agents evaluation and refinement
Independently test control effectiveness, conduct readiness assessments, use judgment to identify improvements, and work with stakeholders to remediate gaps, address root causes, track issues through closure, and support incidents when needed.
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