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Sku Solution Architect Jobs

49 active opportunities · Updated for October 2026

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Explore current sku solution architect jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Altana
📍 Brooklyn• $200K – $255K/yr
5mo ago

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Role: Product Expert PLM and ERP Altana's mission is to fix globalization. At the heart of that mission is a problem most enterprises know intimately but haven't been able to solve: the systems that define, source, build, and ship products don't talk to each other — and the cracks between them are where compliance breaks down, duties are miscalculated, and supply chain risk hides in plain sight. PLM systems know what a product is designed to be. ERP systems know what was ordered and built . Trade and logistics systems know what was shipped and declared . In theory, these should tell a coherent story. In practice, the products these systems model diverge, lack granularity or were stylized in a way that makes the changing face of globalization break down. The as-designed BOM, the as-sourced BOM, and the as-built BOM diverge — silently, constantly — and nobody finds out until a shipment is held, an audit is triggered, or a forced labor allegation surfaces three tiers deep in a supply chain no one has fully mapped. It doesn't have to be this way. Altana's Product Passports represent a fundamentally different model: a structured, continuously maintained product identity that spans the full lifecycle — from design intent through physical production and across international borders. Imagine a world where an enterprise's bill of materials, component origins, supplier relationships, and classification logic are maintained as living, collaborative records — so that when a commercial invoice becomes a customs entry, the data flows automatically, the classifications are defensible, and the compliance posture is built into the product itself, not reconstructed after the fact. Where the gap between a SKU in an ERP and a line item on a CBP entry is closed not by manual rekeying,

machine learningaiSAP
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Zscaler
📍 Santa Clara• $154K – $220K/yr
7mo ago

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. We are looking for a Sr. Staff Software Development Engineer, Provisioning Platform to join our Zero Trust Exchange department. This is a hybrid position based in San Jose, CA (HQ), reporting to the Sr. Director, Software Development Engineering. The Sr. Staff Software Development Engineer will help architect and build Zscaler’s next-generation Provisioning Platform, powering SKU provisioning, entitlement management, workflow orchestration, subscription lifecycle management, and self-service experiences across Zscaler products. This is a backend-focused platform role requiring strong Java/Spring Boot expertise, distributed systems experience, API-first design, and the ability to build scalable, reliable systems that support both automation and Agentic AI-assisted user experiences. What you’ll do (Role Expectations) Lead the design and development of scalable backend services for provisioning, licensing, entitle

pythonjavareact
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Anthropic
📍 Ca New York City• $405K – $485K/yr
7mo ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships: Claude.ai , the Developer Platform, Claude Code, and whatever comes next. The faster we can price it, charge for it, and account for it correctly, the faster Anthropic can fund the mission. We’re looking for a software engineer to join Billing. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business. What you’ll do Design and ship billing capabilities end to end — pricing primitives, payment flows, contract and entitlement models, revenue data pipelines — depending on the surface area you own. Build for correctness first. Billing data is financial data; you’ll develop the instincts for where idempotency, reconciliation, and audit trails matter and where they don’t. Own the interfaces. Whether it’s the billing API a product team integrates against or the revenu

aiaccountingfinance
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NVIDIA is seeking a creative and analytical Capacity Planner to join our Operations team and drive the scaling of our Boards & Systems manufacturing across all business units. In this cross-functional role, you will lead the weekly planning cycle, collaborate with Operations, Manufacturing, Supply Chain, Engineering, Finance, and Business Units, and leverage advanced analytical models to resolve capacity constraints, rationalize capital investments, and drive execution strategies for senior management. What You'll Be Doing Run the weekly capacity planning cycle for Boards & Systems, including forecast ingestion, supply planning alignment, Contract Manufacturer (CM) and testing reviews, and preparation of planning outputs. Consolidate and validate core planning inputs (18-month forecasts, NPI consumption, SKU mappings, CM commits, yield data) across enterprise applications like Anaplan. Analyze required versus available capacity, identify bottlenecks, and perform scenario analysis using data models to drive risk mitigation strategies. Lead capital investment, decisions based on capacity requirements, rationalize forecast changes, and optimize volume loading across CMs to meet target supply and revenue goals. Coordinate workflows across Supply Planning, Business Units, Contract Manufacturers, Production Planning, Purchasing, Manufacturing/Test Engineering, Finance, and NPI in a multi-program platform environment. Partner with IT teams to integrate planning models with enterprise systems, establishing standardized workflows, data pipelines, and toolsets. Present clear, data-driven execution plans, operational risk insights, and mitigation strategies to senior management. Align with cross-regional teams (US, Israel, APAC) to maintain seamless operational execution and standardized planning frameworks. What We Need to See 5+ years

machine learningaiExcel
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