🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role Every company grows differently, and at WRITER, our growth is directly tied to empowering our users to create better content, faster, and at an unprecedented scale. As a strategic solutions architect, you'll be at the forefront of this mission, working directly with our largest and most strategic prospects to identify, validate, and build innovative agentic AI solutions that unlock massive business value. This isn't just about selling a product; it's about deeply understanding complex enterprise needs and architecting a future where AI transforms how our customers operate. You'll be instrumental in shaping how the world's leading companies adopt and scale AI, making a tangible impact on both their success and WRITER’s continued leadership in the enterprise generative AI space. This is a full-time, hybrid role based out of our Chicago hub. You will report directly to the Director, solutions architecture. 🦸🏻♀️ What you'll do Drive strategic technical discovery
Jobs in United States
Solution Architect Sbs in United States
2,075 active opportunities · Updated October 2026
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15 jobs
Explore current solution architect sbs jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.
From $137.4K/yr
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Solutions Architect , you’ll help GitLab prospects and customers in the East region of the United States see how our AI-powered DevSecOps platform can solve technical issues and advance business goals across the full software development lifecycle. You’ll act as a strategic technical advisor and, for assigned accounts, serve as a strategic technical partner who guides complex evaluations, shapes long-term architecture choices, and helps customers modernize how they plan, build, secure, deploy, and monitor software. Reporting to a regional Solutions Architect Manager and partnering closely with
The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success. Datadog's Service Management suite — spanning App Builder, Incident Management, Event Management, Workflow Automation, and On-Call — helps enterprises detect, triage, and resolve operational issues faster while automating the manual toil around incident response. As a Product Solutions Architect, you will partner closely with Datadog customers and the Service Management product team to design architectures, implement best practices, and drive adoption of App Builder, Incident Management, Event Management, Workflow Automation, and On-Call across customer environments. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Serve as the in-house subject matter expert for Datadog's Service Management products — App Builder, Incident Management, Event Management, Workflow Automation, and On-Call Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting Service Management, including designing on-call escalation policies, incident response workflows, event correlation pipelines, and custom internal tools with App Builder Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community
From $185K/yr
The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success. Datadog’s LLM Observability product enables organizations to monitor, troubleshoot, and optimize large-scale LLM-powered applications with confidence, while meeting requirements around data privacy, compliance, and cost management. As a Product Solutions Architect, you will partner closely with Datadog customers and the LLM Observability product team to design architectures, implement best practices, and drive adoption of LLM observability across customer environments. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Serve as the in-house subject matter expert for Datadog’s LLM Observability product Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting LLM Observability Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community Build proofs of concept and small-scale deployments to validate solutions and reproduce real-world customer environments Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience Who You Are: You bring a strong software engineering foundation, with hands-on experience bu
About the Team DoorDash’s mission is to grow and empower local economies. By building intelligent, last-mile delivery technology for local cities, DoorDash connects people with the local businesses they care about — helping grow businesses and the communities that support those businesses. The Marketing Technology team is responsible for delivering best-in-class tools, data, and processes so teams at DoorDash can effectively acquire new customers, drive retention, and grow new business lines across all our audiences. Our mission is to enable teams to deliver personalized, engaging, and relevant content across all our owned and paid channels. We partner closely with Product, Engineering, Data Science, and Analytics teams to translate Marketing’s technology needs into measurable business outcomes for our Growth and Performance Marketing teams. About the Role We're looking for a Senior Associate, AI Solutions Architect to help build and scale AI-powered tools across DoorDash's Marketing teams. You'll work alongside our existing Marketing Technology AI Solutions Architects to identify opportunities where AI can solve real marketing problems, then build, test, and iterate on the solutions that make it happen. This role is grounded in hands-on building: you'll spend your time prototyping, coding, and shipping tools rather than pitching strategy from the sidelines. This is a great opportunity to grow your technical and strategic skills at the intersection of marketing and AI. You'll get mentorship from a team of builders and exposure to the full lifecycle of AI development from prototype to deployment. This role will report to the Senior Manager, Marketing Technology within the Growth Marketing organization. You're excited about this opportunity because you will… Build and deploy AI-powered tools and automations, such as automated reporting, QA frameworks, and workflow optimizations. Develop MVPs and proof-of-concepts, then iterate based on user feedback within a defined w
From $86K/yr
Datadog’s Technical Solutions organization includes 1,200+ sales engineers, support engineers, post-sales experts, and solution architects. They run on an ecosystem of enterprise platforms and internal tools that directly shape how we serve customers. Technical Solutions Operations (“TSO”) owns that ecosystem. We manage the full lifecycle of the systems TS depends on: Zendesk, Jira, Confluence, and a growing portfolio of off-the-shelf and purpose-built tools. We do the work to operate, maintain, and evolve the platforms powering daily workflows across TS. When a vendor tool reaches its limits, we extend it through customization, integration, or targeted solution development, tapping internal partners across Datadog as needed. We’re looking for a Systems Engineer who wants to own enterprise platforms end-to-end. You go from understanding the business process, to designing the right solution (whether that’s configuration, integration, or code), to measuring whether it actually moved the needle. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own enterprise systems through their full lifecycle. You’ll be the technical owner for one or more platforms that TS relies on daily. That means understanding how the system is used, where it’s falling short, what’s coming from the vendor roadmap, and what needs to change. You drive improvements from assessment through implementation. Engineer solutions that create leverage. Not every problem is solved by configuration. You’ll build and evolve enterprise systems, integrations, automations, and internal tools that multiply the effectiveness of 1,200+ technical experts. Where AI can make a solution smarter (e.g., intelligent routing, automated triage, agent-assisted workflows), you'll include AI in the initial design, no
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Platform Engineer An individual contributor who will serve as a hands-on technical member of the SMAI Platform Engineering team. In this role, you will help build, operate, and maintain the platforms that power Micron's analytics and AI workloads. You will contribute to platform reliability and scalability through day-to-day engineering, collaborative problem solving, and close partnership with solution architects, project teams, and multi-functional partners. Responsibilities: Collaborate with global platform teams, customers, partners, and vendors to deliver effective technical solutions. Know the latest platform roadmaps, emerging technologies, and new service offerings; evaluate and recommend adoption opportunities. Partner with solution architects to design, implement, and optimize solutions across IaaS, PaaS, SaaS, and Infrastructure as Code (Terraform). Document findings, operational procedures, guidelines, and reusable patterns while providing feedback to vendors and internal teams. Deliver high-quality platform support by managing customer requests, maintaining service standards, and implementing controlled platform adjustments. Monitor platform performance, observability, costs, and resource utilization to identify optimization opportunities and improve reliability. Collaborate with multi-functional teams to ensure seamless operations, scalable architectures, and automation, including AI-driven business solutions. Implement and m
$100K – $500K/yr
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Field Application Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders. This role is remote based out of North America with preference near one of our main hubs Santa Clara, CA; Boston, MA; or Toronto,ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.” You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life. You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon. Work directly with customers in mee
$100K – $500K/yr
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Field Sales Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders. This role is remote based out of North America with preference near one of our main hubs Santa Clara, CA; Boston, MA; or Toronto,ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.” You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life. You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon. Work directly with customers in pre-sales
$100K – $500K/yr
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are seeking an experienced Project Manager to lead our ERP implementation and drive delivery across technical and business teams. In this role, you will bridge Solution Architects with stakeholders across Sales, Supply Chain, Finance, Trade, Infosec, and Engineering to keep the program aligned, accountable, and moving forward. This role is hybrid, based out of Santa Clara, CA, or Austin, TX. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are An experienced project manager who has led complex ERP implementations, such as NetSuite or SAP. Skilled in project management methodologies and tools, including Jira and Asana. A strong interpersonal communicator who can influence, align, and mediate across technical and business teams. Able to synthesize complex technical discussions into clear, actionable reporting for varied stakeholders. What We Need Define project scope, milestones, deliverables, and governance for the ERP implementation. Manage external consultants, monitor adherence to statements of work, and drive accountability for delivery. Coordinate Sales, Supply Chain, Finance, Trade, Infosec, Engineering, Solution Architecture, and o
From $116K/yr
We are seeking a motivated and experienced Technical Program Manager II to join Datadog’s Technical Solutions organization. This organization is made up of 1,200+ customer-facing technical experts around the world — including Sales Engineers, Technical Account Managers, Support Engineers, and Solution Architects — who work with prospects and customers throughout their journey with Datadog to deliver outstanding experiences and drive growth through product adoption. As a Technical Program Manager II, you will lead and support a variety of technical programs that help these customer-facing teams work more effectively. Depending on the needs of the organization, this could include programs related to internal tooling, process improvement, knowledge and content systems, or other cross-functional initiatives. You’ll partner closely with team leads, subject matter experts, and other stakeholders to bring structure and clarity to moderately complex, cross-team programs, and you’ll act as a multiplier for the teams you support by driving programs from planning through delivery. Candidates who have previously led projects for customer-facing technical teams are especially encouraged to apply. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Drive delivery of cross-team programs that support one or more Technical Solutions teams — coordinating stakeholders, dependencies, and timelines to keep work on track from kickoff through delivery. Partner with team leads, subject matter experts, and cross-functional stakeholders to translate program goals into clear, actionable plans, and document scope, timeline, and quality expectations along the way. Establish and maintain program management fundamentals — project trackers, status updates, risk logs — so stakeholders always
From $200K/yr
The Datadog for Startups (DDFS) program helps the next generation of fast-scaling companies adopt best-in-class observability and security from day one. We're looking for the technical engine of this program - someone who can sit across from a startup CTO, earn credibility in the first five minutes, and help them see how Datadog fits into their stack before they've even finished describing it. You'll be the first technical member on a lean, five-person team, owning the technical motion end-to-end: discovery calls, demos, startup enablement, forward-deployed engineering projects, and representing Datadog at founder events across San Francisco. This isn't a traditional SE seat - it's part solutions architect, part technical consultant, part startup evangelist, and it requires someone adaptable, proactive, and ready to take initiative without being told what to do next. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Run discovery calls with startup CTOs and engineering leads to identify quick wins, validate technical needs, and position Datadog against alternatives like Grafana, New Relic, Sentry, and Clickhouse Deliver tailored Datadog demos and help startups get instrumented quickly - removing friction, showcasing value, and ensuring smooth technical onboarding, particularly around AI/ML observability, infrastructure scaling, and security Build automation to improve internal team workflows - EX: outreach, reporting, the application process, and website updates Represent Datadog for Startups at accelerator demo days, hackathons, conferences, founder dinners, and workshops across San Francisco Build relationships across SF's startup ecosystem - founders, VCs, accelerator partners, and technical communities - and develop thought leadership content for tech
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Smart Manufacturing Product Owner at Micron Technology, Inc., you will be responsible to enable innovation and new frontier technology for Smart manufacturing to define, drive and deliver end to end smart manufacturing solution, coordinated across functions of the business. The team will look into applying industry-leading the best methodologies in automation, AI and machine learning to improve Micron’s product development, business and administrative processes across the company. You are joining a team where 'we' matter and hold high standards to achieve perfection. Key Responsibilities Lead the development and implementation of AI-driven Smart Manufacturing solutions to improve product yield, quality, test coverage, and system-level performance across Micron's semiconductor operations. Partner with Test Solutions Engineering, Product Engineering, Global Quality, and multi-functional collaborators to find opportunities and drive digital transformation initiatives. Collaborate with Data Scientists, Machine Learning Engineers, Solution Architects, and Data Engineers to define requirements, prioritize solutions, and deliver end-to-end projects. Translate business needs into detailed business requirements, user stories, acceptance criteria, and data requirements while ensuring alignment with enterprise standards and governance. Develop arguments for proposed solutions, including value quantification, analysis of return on investment and net present value, success metrics, and impl
Do you have an insatiable curiosity and passion for science? Do you want to partner with PIs at the top research institutions in the world to accelerate their life's work? We are seeking a dedicated and science-savvy Senior Account Manager to lead our relationships with a few key R1 universities in the Northeastern or Mid-Atlantic regions. NVIDIA’s accelerated computing platform is the scientific instrument transitioning research from traditional sequential computing to massively parallel, neural networks driven labs. Our full-stack platform includes supercomputers, the CUDA programming model, and hundreds of libraries, frameworks, and models. From BioNeMo for structural biology, Parabricks for genomics, Omniverse for 3D virtual worlds, and RAPIDS for data science, to CUDA-Q for hybrid quantum-classical computing, PhysicsNeMo for physics-informed AI, and Earth-2 for climate modeling, we are empowering the next scientific breakthroughs. What You'll Be Doing: Institution and Government Engagement: Serve as a trusted advisor to university and occasionally, state government leaders, communicating NVIDIA's vision, technology roadmaps, and research impact. Grow the Business: Champion organic business growth, forecast revenue, and collaborate with IT and business partners on go-to-market strategies. Research Community Partnership: Forge strong connections with leading research labs and PIs across diverse scientific domains (e.g., AI/ML, life sciences, physical sciences, climate science, engineering, and materials science). You will understand their grand challenges and keep a pulse on emerging computational methods. Strategy Execution: Engage internal cross-functional NVIDIA teams (Solution Architects, Developer Relations, Product Management, Business Units, etc.) and university partners to accelerate science on NVIDIA’s platform. Ecosystem Enablement &
We are seeking a mission-driven Developer Relations Manager focused on Foundational AI Research to engage leading academic labs advancing the next generation of AI models, systems, and methods. In this role, you will work directly with top researchers building frontier AI systems, including large language models, multimodal models, reasoning systems, training methods, inference systems, model serving, and scalable AI infrastructure. You will help researchers adopt NVIDIA’s AI and accelerated computing platforms to push the boundaries of model performance, efficiency, and scale. The ideal candidate brings deep technical credibility in foundational AI, strong research engagement experience, and hands-on expertise in either AI inference research or AI training research. What you'll be doing: Serve as a trusted technical advisor to leading academic AI labs working on foundation models, LLMs, multimodal AI, reasoning, training, inference, and AI systems. Identify high-impact research workloads where NVIDIA software, systems, and accelerated computing platforms can advance model performance, scale, and efficiency. Engage principal investigators, postdocs, graduate researchers, and lab leadership to understand research goals, technical blockers, infrastructure needs, and collaboration opportunities. Track frontier AI research across papers, benchmarks, open-source projects, and academic labs to identify emerging trends and future platform opportunities. Partner with Research Account Managers, Solution Architects, Product, Engineering, and Business Development teams to support researcher adoption and long-term engagement. Represent researcher needs internally by translating academic feedback into actionable insights for product roadmaps, developer programs, education, and platform strategy. Support NVIDIA participation in major AI, ML, and systems research venues through technical content,
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