18 jobs for "Senior Finance Manager, AI & Infrastructure"

Engineering Manager - Foundations, Finance Data & Technology

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Posted on Oct 19

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Senior Product Manager, Apple AIML

At Apple - Cupertino

Posted on Oct 19

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Senior Manager, Digital Strategy & Operations

At Equinix, Inc - Remote / Flexible

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Observability SRE Manager, Apple Services Engineering

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Observability SRE Manager, Apple Services Engineering

At Apple

Posted on Oct 15

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Senior Product Manager - Oracle RMCS

At Equinix, Inc - Remote / Flexible

Posted on Oct 27

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Senior Systems Engineer

At Salesforce - Dallas · Atlanta

Posted on Oct 31

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Global Banking Business Manager - Vice President

At JPMorgan Chase - Chicago · Plano

Posted on Oct 26

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Project Manager - Governance & Planning - Europe - Public Policy

At TikTok - London

Posted on Oct 24

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Project Manager - Governance & Planning - Europe - Public Policy

At TikTok - Brussels

Posted on Oct 23

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Apple

Engineering Manager - Foundations, Finance Data & Technology

Cupertino, CA$237,600 – $356,400Posted 21 days ago

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Imagine what you could do here. At Apple, new ideas quickly become platforms and capabilities that shape how the company operates at global scale. Bring passion, technical depth, and strong leadership, and there's no limit to the impact you can have. The Finance Data and Technology (FDT) organization is seeking a Senior Engineering Manager to lead our Foundations team - the engineering force multiplier for every business-facing product and delivery pod across Finance. This team builds the shared platforms, frameworks, data services, and AI capabilities that let other teams move fast without sacrificing security, scale, or reliability.

Description

In this role, you will own the strategy, architecture, and execution of finance platforms spanning cloud infrastructure, data, application frameworks, and AI. You will bring proven, hands-on experience taking agentic AI systems from prototype to production, ideally in a finance or highly regulated setting, and you will use that experience to set the standard for how Finance adopts AI responsibly and at scale. You will operate at executive altitude, partnering closely with Enterprise IT (IS&T), security, privacy, and business-facing engineering leaders to align investment and priorities. You will lead with clarity, operate comfortably in ambiguity, and build a team that treats reusable platforms, not one-off projects, as the default way of working.","responsibilities":"Own strategy, architecture, and execution for the Foundations platform, including cloud infrastructure, data platforms, application frameworks, developer tooling, and AI/ML services.

Lead the build-out of production-grade agentic AI and GenAI capabilities as reusable enterprise assets, not isolated pilots, including model lifecycle management, evaluation pipelines, observability, and responsible AI governance.

Serve as the primary engineering point of contact with IS&T and other engineering organizations, negotiating shared standards, integration points, and platform dependencies.

Partner with business-facing delivery pods, finance leadership, security, privacy, and legal to align the platform roadmap with enterprise priorities.

Manage and develop a team of engineering managers, architects, and senior technical leads; build clear career paths and succession plans.

Establish engineering standards, architectural principles, and reference patterns that raise the bar on quality, reliability, and security across all consuming teams.

Define and report platform health metrics, including adoption, developer productivity, deployment velocity, and reliability, to executive stakeholders.

Drive platform modernization and cost efficiency while scaling to support rapid growth in data volume, AI use cases, and consuming teams.

Communicate platform strategy and trade-offs clearly to both technical teams and non-technical business partners, building trust and alignment across the organization.

Balance near-term delivery pressure with long-term investment in platform health, governance, and scalability.

Preferred Qualifications

12+ years of software engineering experience, with 6+ years leading managers and senior technical leaders across multiple teams.

Background supporting Finance, Corporate Systems, Enterprise Analytics, or high-throughput data platforms.

Experience building developer platforms used by hundreds of engineers in large, complex enterprise environments.

Contributions to open-source platform tooling or enterprise AI frameworks.

Direct, hands-on experience designing and shipping an agentic AI solution into production - able to speak concretely to the architecture, evaluation approach, guardrails, and business outcome; finance or other regulated-industry deployment strongly preferred.

Working knowledge of agent orchestration, RAG/semantic retrieval, knowledge graphs, prompt and evaluation frameworks, and model governance sufficient to review designs and make build-vs-buy calls.

Deep expertise in cloud-native architectures, distributed systems, APIs, and modern data platforms at scale.

Track record building and operating large-scale platform engineering organizations used by hundreds of engineers.

Demonstrated success driving engineering transformation and organizational change across multiple teams and functions.

Strong executive presence, with proven ability to influence and align senior stakeholders across engineering, finance, IS&T, security, and privacy.

Excellent written and verbal communication skills; able to translate ambiguous, cross-organizational goals into clear technical direction for both technical and non-technical audiences.

Strong hiring, coaching, and performance management skills, with a track record of developing managers and senior ICs and retaining top talent.

Comfortable making sound decisions under pressure and operating effectively in ambiguity.

MS or PhD in Computer Science, Statistics, Engineering, or equivalent practical experience.

Minimum Qualifications

10+ years of software engineering experience

3+ years leading managers and senior technical leaders across multiple teams

Bachelors degree in Computer Science, Statistics, Engineering, or equivalent practical experience

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $237,600 and $356,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

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