Partner Solutions Architecture Manager Jobs

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Staff Solutions Architect, Opportunity LifeCycle Management. About the job We are seeking an experienced Solution Architect to build future proof next generation Opportunity Lifecycle platforms and manage solution design for the GTMA Opportunity Lifecycle team (OLM) and sit under the GTM Solution Architecture and Design team. This role sits at the intersection of Solution architect, User Journey mapping, Data Mapping, Integration Patterns, Salesforce platform administration and GTM technology operations. The ideal candidate combines strong business process expertise with technical depth in Salesforce and enterprise GTM ecosystems, while also driving operational excellence, scalable governance, system analysis, platform health and compliance readiness across Sales Ops and Revenue workflows. This leader will partner closely with the Sales Operations, GTMA Systems, GTMA Product team, Twilio Engineering team, Enterpris

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Staff Solutions Architect, Contract LifeCycle Management. About the job We are seeking an experienced Solution Architect to build future proof next generation Q2C platforms and manage solution design for the GTMA Contract Lifecycle team and sit under the GTM Solution Architecture and Design team. This role sits at the intersection of Solution architect, User Journey mapping, Data Mapping, Integration Patterns, Salesforce platform administration and GTM technology operations. The ideal candidate combines strong business process expertise with technical depth in Salesforce and enterprise GTM ecosystems, while also driving operational excellence, scalable governance, system analysis, platform health and compliance readiness across Quote-to-Cash workflows. This leader will partner closely with the Sales Operations, GTMA Systems,GTMA Product team, Twilio Engineering team, Integration engineering team, Zuora and M

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are seeking a Precompute Platform Lead to own and scale Addepar's precompute layer — the platform that pre-calculates financial analytics and transparently integrates precomputed and real-time results, delivering step-change improvements in query latency and concurrency for enterprise-scale wealth management firms. The team operates on terabyte-scale datasets, leveraging vector-oriented programming and distributed systems to enable sub-second performance. You will lead the evolution of this capability from targeted use cases to a platform-wide performance layer — solving hard problems in incremental computation, vectorised processing, and distributed data architecture as you scale. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You’ll Do Own the precompute platform roadmap in partnership with Product and engineering leadership, defining and meeting aggressive performance KPIs for daily processing, incremental processing, and query latency across enterprise clients Architect, implement, and maintain engineering solutions to solve sophisticated problems; reduce complexity through the adoption of strateg

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Key Responsibilities Lead and develop teams responsible for customer integration, technical engagement, and system engineering. Drive customer technical interlocks, design reviews, escalations, and integration activities. Partner with design, product, manufacturing, and system engineering teams to translate customer requirements into product solutions. Provide leadership in HBM architecture, system integration, packaging, manufacturing, and customer enablement. Establish scalable engagement models, governance processes, and executive communications that enable successful customer deployment and qualification. Drive resolution of complex technical issues while influencing future product and technology roadmaps. Develops and deploys AI (artificial intelligence) systems that help automate processes and solve technical challenges. Qualifications BS/MS in Electrical Engineering, Computer Engineering, or related field. 10&#43; years of semiconductor engineering, system integration, customer-facing technical leadership, or engineering management experience Strong understanding of HBM architecture, system integration, packaging, manufacturing processes, and customer qualification. <l

About the Team The Applied AI Engineering team partners closely with customers to help them turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across strategy, solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Digital Natives segment serves technology and software companies that are building AI into the core of their products and businesses. These customers are often highly technical, move quickly, and are among the earliest adopters of OpenAI’s newest capabilities. Our Applied AI Engineers work directly with their engineering, product, and technical leadership teams to identify high-impact opportunities, solve complex technical challenges, and bring ambitious AI applications into production. About the Role We are seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of our most strategic technology and software customers in the Americas. In this role, you will lead a team of Applied AI Engineers who work hands-on with customers to design, build, evaluate, and scale AI applications. You will help determine where deep technical partnership can unlock the greatest customer and business impact, while developing repeatable approaches that allow the team to support a broad and fast-moving customer segment. As a manager, you will set the strategy and operating model for the team, coach and develop engineers, and serve as a senior technical partner to customers and internal stakeholders. You will work closely with Sales, Product, Engineering, and Research to connect what we learn from customers with OpenAI’s product direction and help customers take advantage of our newest capabilities. Success in this role will be measured by meaningful production applications, sustained adoption and usage, strong customer outcomes, and

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: WPP Enterprise Technology provides Technology services for WPP, the world’s largest communications services group. As a creative transformation company, WPP is helping its clients transform the future through extraordinary work. WPP ET is an integral part of that journey, and we are proud to provide technology for some of the world’s most creative brands. Lead M365 architecture and senior engineering, owning the platform design and the most complex change. Combines retained architecture and senior-engineering capability for Microsoft 365. What you'll be doing: Own the M365 architecture, standards and engineering roadmap Lead and manage the M365 architects and senior engineers. Design and assure complex M365 change and migrations. Assure third party support provider delivered designs and change to WPP standards. Embed security, resilience and compliance by design. Provide senior technical escalation above the run layer. Set the architecture, patterns and guardrails that Kyndryl implements and operates within. Assure that partner-delivere

About the Team The Applied AI Engineering team partners closely with customers to help them turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across strategy, solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Digital Natives segment serves technology and software companies that are building AI into the core of their products and businesses. These customers are often highly technical, move quickly, and are among the earliest adopters of OpenAI’s newest capabilities. Our Applied AI Engineers work directly with their engineering, product, and technical leadership teams to identify high-impact opportunities, solve complex technical challenges, and bring ambitious AI applications into production. About the Role We are seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of our most strategic technology and software customers in the Americas. In this role, you will lead a team of Applied AI Engineers who work hands-on with customers to design, build, evaluate, and scale AI applications. You will help determine where deep technical partnership can unlock the greatest customer and business impact, while developing repeatable approaches that allow the team to support a broad and fast-moving customer segment. As a manager, you will set the strategy and operating model for the team, coach and develop engineers, and serve as a senior technical partner to customers and internal stakeholders. You will work closely with Sales, Product, Engineering, and Research to connect what we learn from customers with OpenAI’s product direction and help customers take advantage of our newest capabilities. Success in this role will be measured by meaningful production applications, sustained adoption and usage, strong customer outcomes, and

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary We are seeking a highly experienced Senior Technology Manager to lead the Finance Technology AI Enablement engineering team, responsible for architecting and building best-in-class AI solutions while enabling business and IT partners in their AI adoption journey. In this role, you will provide strategic direction to the engineering team, champion engineering best practices, and drive the end-to-end delivery and enablement of AI solutions across the enterprise. The Finance Technology AI Enablement team helps the business strategize, evaluate, define, and prioritize complex enterprise initiatives — designing and building them into AI-enabled, transformative solutions. This role requires building strong relationships with business stakeholders and domain-specific IT application development teams, working collaboratively to advance AI-driven transformation and deliver measurable results. You will oversee and execute multiple concurrent AI initiatives, delivering value across various business domains in a fast-paced, dynamic environment. Key Responsibilities Lead, mentor, and grow a high-performing engineering team focused on AI/ML and GenAI solution delivery. Set strategic technical direction for the AI Enablement team, advocating for engineering best practices, scalable architecture, and responsible AI development. Partner with

We are looking for a Senior Solutions Engineer to join our Sales Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with Fortune 500 prospects — guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them. This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept and stepping back to translate a technical win into a business case an economic buyer will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the prospect back into how Coder builds and sells. What you will be doing: Own the technical relationship with prospects through pre-sales, and efficiently manage towards a technical win Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives Install Coder on cloud and on-prem Kubernetes or VM infrastructure Run proofs-of-concept that prove Coder’s value including for agentic and LLM-powered development workflows and accelerate deals Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their business impact Serve as the prospect’s and customer’s voice, routing insights to Engineering and Product Track and report product issues and feature requests using Linear Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation Contribute pull requests to Coder’s documentation What you bring: Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling Strong customer-facing skills that win trust with technical stakeholders Ability to translate technical hurdles into business value in real time Understand agentic AI software development use cases and advocate passionately where appropriate Comfortable leading architecture demos and deep-div

We are looking for a Senior Solutions Engineer to join our Sales Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with Fortune 500 prospects — guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them. This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept and stepping back to translate a technical win into a business case an economic buyer will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the prospect back into how Coder builds and sells. What you will be doing: Own the technical relationship with prospects through pre-sales, and efficiently manage towards a technical win Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives Install Coder on cloud and on-prem Kubernetes or VM infrastructure Run proofs-of-concept that prove Coder’s value including for agentic and LLM-powered development workflows and accelerate deals Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their business impact Serve as the prospect’s and customer’s voice, routing insights to Engineering and Product Track and report product issues and feature requests using Linear Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation Contribute pull requests to Coder’s documentation What you bring: Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling Strong customer-facing skills that win trust with technical stakeholders Ability to translate technical hurdles into business value in real time Understand agentic AI software development use cases and advocate passionately where appropriate Comfortable leading architecture demos and deep-div

Solution Architect Program Manager Description - Job Summary The Solution Architect Program Manager is responsible for driving advanced technology solutions from early concept through architecture definition, proof of concept, productization planning, system integration, validation, and launch readiness. This role combines deep technical capability with disciplined program execution to ensure that innovative concepts are translated into clear scope, committed deliverables, product milestones, and launch timelines. This position requires strong solution architecture judgment, structured planning, and cross-functional leadership across engineering, product, hardware, firmware, software, validation, security, operations, and external partners. The role owns the bridge between concept feasibility and production execution by defining requirements, aligning stakeholders, managing schedules, resolving technical dependencies, tracking risks, and maintaining readiness documentation required to deliver solutions on product milestones and market launch commitments. Responsibilities Drive end-to-end solution programs from concept exploration, business and technical feasibility, architecture definition, POC execution, productization planning, system integration, validation, and launch readiness. Translate ambiguous innovation concepts into clear solution scope, use cases, requirements, architecture assumptions, success criteria, milestones, resource needs, and execution plans. Own integrated schedules that align engineering deliverables with product development checkpoints, POR decisions, validation gates, manufacturing readiness, and launch timeline commitments. Partner closely with product management, system architecture, hardware, firmware, software, security, validation, operations, and external suppliers to manage dependenci

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Manager, Electrical Engineering is responsible for the electrical systems of the KARNO generator, including high-voltage power electronics, battery systems, low- and high-voltage architecture, wiring harnesses, and the hardware that converts linear motion into electrical output. This is a working manager role: the position leads and develops a team of electrical engineers while remaining directly involved in technical execution, including circuit architecture, schematic review, and hardware bring-up in the lab. The Manager is accountable for the technical excellence, safety, and reliability of the electrical engineering function, and for establishing the design standards and review practices the team works to. The position plans team capacity, owns hiring and development for the electrical engineering staff, and partners with mechanical, controls, supply chain, and program management on system integration. KARNO systems are deployed in data center, military, and industrial applications. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities Own critical electrical designs personally, including regular time at the bench and in the test cell, while leading the team as a practicing engineer. Lead the electrical engineering team in the design and development of KARNO generator electrical systems, including high-voltage power electronics, battery systems, linear generator power stages, and low-voltage controls hardwar

Location: Tokyo, Japan Req ID: FEQ427R141 Reporting to: Manager, Field Engineering Language requirements: Business-professional Japanese required; business-level English preferred Mission As a Pre-sales Solutions Architect focused on Manufacturing and Automotive, you will engage with leading global automotive manufacturers and strategic industry accounts across Japan. In partnership with Account Executives, Solutions Architects, technology specialists, partners, and customer teams, you will develop and execute technical strategies that help customers adopt the Databricks Data Intelligence Platform and achieve measurable business outcomes. You will translate complex automotive and manufacturing challenges into scalable data and AI solutions across vehicle platforms, connected-vehicle analytics, vehicle and component quality, supply-chain optimization, smart manufacturing, engineering and R&D analytics, aftersales, customer intelligence, and AI-powered applications. You will operate with a builder mindset, creating hands-on prototypes, demonstrations, and proof points that accelerate customer confidence and adoption. The impact you will have Develop and execute customer engagement strategies in partnership with Account Executives and Solutions Architects for strategic automotive and manufacturing accounts. Lead complex customer engagements across the full technical pre-sales lifecycle, including discovery, requirements gathering, solution scoping, architecture design, workshops, demonstrations, proof-of-concepts, and implementation planning. Coach account teams and peers on positioning, adoption strategies, use-case prioritization, and execution plans that deliver outcomes within a defined timeline. Influence stakeholders at all levels, from data practitioners and engineers to manufacturing leaders and C-level executives, by connecting technical decisions to business value. Act as a champion and trusted advisor for customers and colleagues on data, analytics, mach

About the Team The Applied AI Engineering team is responsible for helping customers turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Codex Applied AI Engineering team focuses on helping organizations transform how software is built with AI. We partner directly with engineering teams and technical leaders to integrate Codex into their software development lifecycle — from identifying high-impact use cases and designing AI-enabled workflows to implementation, evaluation, and scaled adoption. Our work helps ensure AI-powered software development is effective, reliable, secure, and deeply integrated into how engineering organizations operate. About the Role We are seeking an experienced technical leader to join as Manager, Applied AI Engineering (Codex) , leading a team of Applied AI Engineers responsible for driving successful Codex adoption across strategic customers. Your team will work hands-on with customer engineering organizations to design and build AI-enabled development workflows, solve complex implementation challenges, and establish scalable patterns for AI-powered software development. As a manager, you will shape how these technical engagements operate at scale — setting strategy, coaching engineers, determining where the team can have the greatest impact, and ensuring consistently strong execution across customers. You will serve as both a people leader and senior technical advisor, partnering closely with Sales, Product, Research, and Engineering to translate customer needs and real-world usage into better technical approaches, reusable patterns, and product insights. Success in this role will be measured by meaningful and sustained Codex adoption, successful customer outcomes, and the creation of repeat

About the Team The Applied AI Engineering team is responsible for helping customers turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Codex Applied AI Engineering team focuses on helping organizations transform how software is built with AI. We partner directly with engineering teams and technical leaders to integrate Codex into their software development lifecycle — from identifying high-impact use cases and designing AI-enabled workflows to implementation, evaluation, and scaled adoption. Our work helps ensure AI-powered software development is effective, reliable, secure, and deeply integrated into how engineering organizations operate. About the Role We are seeking an experienced technical leader to join as Manager, Applied AI Engineering (Codex) , leading a team of Applied AI Engineers responsible for driving successful Codex adoption across strategic customers. Your team will work hands-on with customer engineering organizations to design and build AI-enabled development workflows, solve complex implementation challenges, and establish scalable patterns for AI-powered software development. As a manager, you will shape how these technical engagements operate at scale — setting strategy, coaching engineers, determining where the team can have the greatest impact, and ensuring consistently strong execution across customers. You will serve as both a people leader and senior technical advisor, partnering closely with Sales, Product, Research, and Engineering to translate customer needs and real-world usage into better technical approaches, reusable patterns, and product insights. Success in this role will be measured by meaningful and sustained Codex adoption, successful customer outcomes, and the creation of repeat