SAP
A short, 2-4 sentence summary of the job. Do not include responsibilities or skills. Example: A Senior Enterprise Customer Success Manager at Wix owns relationships with large strategic accounts, understanding their technical and business environments to drive growth, customer satisfaction, and retention. The role involves collaboration across teams, managing renewals, creating tailored solutions, and engaging with executive-level stakeholders.
Headquarters
Walldorf, Baden-Württemberg, Germany
Company Size
10001+ employees
Founded
1972
SAP is a global enterprise software and technology company that helps organizations run core business processes — finance, supply chain, HR, customer experience and analytics — via integrated cloud and on‑premise applications. Its flagship offerings include SAP S/4HANA, the SAP Business Technology Platform, and cloud solutions for ERP, CRM, procurement, workforce management and analytics, along with industry-specific apps and a large partner ecosystem. SAP emphasizes enabling intelligent, sustainable enterprises by combining data management, AI, automation and sustainability services to improve decision‑making and operational efficiency. Companies choose SAP for its breadth of functionality, global scale, industry depth and compliance capabilities.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for SAP.
SAP didn’t post a salary, so this is our estimate from similar listings.
Build trusted systems of intelligence that unify operational telemetry, product signals, infrastructure usage, and financial models into a single source of truth for engineering and business decisions. Drive the shift from human-driven operations to autonomous operations by leveraging agents and AI-powered workflows to analyze signals, identify opportunities, recommend actions, and accelerate execution. Lead cross-organizational initiatives, transforming complex and ambiguous problems into strategic investments and measurable outcomes. Influence architecture and engineering direction, partnering with senior leaders to align technical strategy with business priorities and long-term platform goals. Foster a culture of technical excellence, ownership, and innovation, mentoring engineers, scaling best practices, and advancing AI-native engineering methodologies across SWIQ. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Proven ability to architect trusted intelligence platforms that connect operational telemetry, product signals, infrastructure consumption, and business outcomes at scale. Demonstrated success setting long-term technical direction and influencing engineering strategy across multiple organizations, translating ambiguity into durable architecture and measurable business impact. Experience leading complex initiatives, driving alignment around shared goals and delivering broad organizational adoption. Solid technical depth in cloud-scale architectures, platform engineering, or AI technologies, with a track record of delivering scalable solutions. Passion for AI-native engineering and autonomous operations, with experience applying agents, intelligent automation to improve operational efficiency, and engineering productivity. Demonstrated ability to mentor engineers, elevate technical excellence, and cultivate a culture of innovation, ownership, and continuous improvement. Experience in FinOps, Cost of Goods Sold (COGS), business intelligence, including the ability to connect technical investments to business outcomes and operational efficiency. Experience building and scaling large-scale cloud platforms that support mission-critical services. Experience with large language models (LLMs), agent platforms, AI-powered systems, or AI workload optimization Experience establishing reusable engineering platforms, governance frameworks, and operational standards across cloud-scale services.
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