Partner Solutions Architecture Manager Jobs

At Lyft, our mission is to serve and connect. Fleets is a dynamic area working with 3rd-party partners to match autonomous, livery, and taxi fleets with the Lyft marketplace; managing programs for special vehicles like Express Drive rentals, electric, and premium vehicles; and crafting tooling for on-the-ground fleet operations. As an Engineering Manager on Global Growth, you’ll be responsible for setting the technical direction for the team, making tradeoffs between technical investments and product work, and communicating the strategy transparently to the team and to leadership. You will help shape the product direction by developing a deep understanding of the customer and working closely with cross-functional partners from Product, Design, Science, and Operations. You will lead a group of talented engineers and help the team to deliver business impact while being open to change through constant experimentation. If you enjoy collaborating with technical and nontechnical partners on a product with real-world impact, this is the role for you. Responsibilities: Lead a team of talented backend and mobile engineers who like to ship code and tackle hard engineering problems Mentor and guide the professional and technical development of your team members. Help develop their careers, and assign them to projects tailored to their skill levels, personalities, work styles, and professional goals Build teams that are collaborative, inclusive, and respectful of each other Set the technical vision and strategy for an evolving product area Co-own the product strategy with the product partner and ensure timely delivery with high quality of the engineering solutions Create plans for prioritizing technical and resourcing challenges in your organization Maintain a balance between building sustainable, high-impact projects and shipping things quickly Instill a spirit of continuous improvement in the team’s code, architecture, and processes Work closely with the Lyft recruiting team

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe Infrastructure is responsible for the reliability, scale, performance, and cost of Stripe's systems and the productivity and sentiment of Stripe's people. You may work on a wide variety of critical business areas within Core Infrastructure. We're the home for Stripe's critical tier-0 infrastructure systems (Compute, Networking, DocumentDB, Distributed Caching, and High Assurance Engineering). We build the foundational platform for Stripe products and services to allow them to operate at scale. We drive reliability, availability, efficiency, and scalability of these systems. What you'll do As an Engineering Manager for the Core Performance team at Stripe, you'll lead a team responsible for driving improvements in efficiency and latency across Stripe. Responsibilities • Lead and grow an engineering team in Sydney—hire, coach, mentor, and develop engineers at all levels • Partner with engineering teams across Stripe to identify and implement infrastructure solutions that enhance scalability, reliability, and efficiency • Create team vision, define goals, prioritize work, and deliver high-quality outcomes • Cultivate a culture of engineering excellence, innovation, and continuous improvement • Collaborate with staff engineers and technical leadership on architecture and strategic technical decisions, translating technical strategy into team-level plans • Work effectively with geographically distributed colleagues and remote workers to ens

P-1107 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Customers trust Databricks with their most valuable data, and Trust & Safety has the mission to build the most trusted Data and AI platform in the world. Identity and Access Management (IAM) is at the heart of this mission, ensuring that the right users and services have the right access at the right time. We are looking for an Engineering Manager to lead our IAM team and define the strategy for how authentication, authorization, and identity services are built and scaled across our platform. You will lead a team owning foundational services that must be highly reliable, secure, and fast under extreme load. The impact you will have: Define and drive the strategy for IAM systems, including authentication and access control. Build and scale a high-performing engineering team focused on authentication, authorization, and identity management at cloud scale. Provide technical oversight on architecture and design for IAM components that can operate at massive scale, with high requirements for reliability, security, and performance. Partner with engineering and product leaders across Databricks to embed secure, scalable identity solutions into every aspect of our product. Ensure regulatory compliance and alignment with industry best practices for IAM, helping customers meet their own governance, privacy, and security needs. Attract and grow top engineering talent, building a team culture that emphasizes innovation, collaboration, and customer trust. What we look for: 9+ years of professional experience in software engineering, with 2+ years of engineering leadership experience in a fast paced, dynamic environment. Experience buildin

FEQ427R313 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. Important Eligibility Requirement: Due to contractual requirements supporting U.S. Public Sector customers, this position requires U.S. citizenship. Candidates who are not U.S. citizens are not eligible for consideration. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: U.S. citizenship

FEQ327R1 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 5+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experienc

Position Overview As a Senior Staff Software Engineer on Diligent's Platform AI team, based out of our technical center of excellence in Vancouver, you will drive the architecture and technical direction of the services that bring AI research and models into production across Diligent's global product suite. You will partner with AI researchers, product managers, and Staff Engineers as peers — leading through influence across the Platform AI organization rather than through reporting authority, on secure, scalable AWS Serverless solutions that translate ML and LLM research into commercial-quality, production systems. Key Responsibilities Drive technical direction and architecture for ML/LLM systems across multiple AI platform teams, partnering with Staff Engineers rather than managing ICs in isolation. Design secure, scalable, fault-tolerant AI/ML solutions using AWS Serverless technology — event-driven, highly observable, with infrastructure as code. Evaluate and prototype new AI technologies (LLM frameworks, model providers, agentic tooling) to guide build-vs-buy decisions across the organization. Serve as the go-to contact for architecture problems and questions across the Platform AI org, and regularly present and guide architecture discussions department-wide. Mentor Staff Software Engineers and Applied Scientists through constructive code review and design partnership. Collaborate with Applied Scientists and Product teams to productize AI capabilities, translating multi-quarter AI strategy into execution roadmaps and representing engineering's perspective to senior leadership. Design, build, and scale search and retrieval systems — including OpenSearch and semantic/vector search — that power discovery, retrieval-augmented generation, and other AI-driven product features. Lead through ambiguity, helping teams navigate undefined problems to successful delivery. Required Experience/Skills 10-15+ years of professional experience developing and owning high-scale, s

Position Overview SingleStore is seeking a Forward Deployed Engineer (FDE) to operate at the intersection of solution architecture, technical delivery, and customer partnership. This role combines elements of a solutions architect, technical account manager, and solution engineer, with a strong emphasis on execution. As an FDE, you will serve as a trusted technical advisor and sounding board for customers, helping them design, implement, and scale real-time data solutions using SingleStore. You will work closely with customers to understand their business objectives, translate them into technical strategies, and drive those solutions into production. This role requires a delivery mindset, strong technical depth, and the ability to lead both strategic conversations and hands-on execution. Role and Responsibilities Partner directly with customers to understand their architecture, use cases, and business goals, and translate them into scalable technical solutions. Design and implement end-to-end solutions integrating SingleStore into existing application and data ecosystems. Lead whiteboard sessions to shape ideas, define architecture, and convert concepts into technical specifications and execution plans. Act as a proactive thought partner, bringing ideas and guiding conversations rather than reacting to requirements. Own delivery of high-impact initiatives from concept through production, ensuring successful outcomes. Provide hands-on support, including troubleshooting, optimization, and applying pragmatic solutions or fixes when needed. Collaborate closely with Sales, Solutions Engineering, Product, and Engineering teams to align customer needs with product capabilities and roadmap. Help customers prioritize and operationalize their data initiatives, balancing ambition with practical delivery. Feed insights from customer engagements back into Product and Engineering to influence roadmap and improvements. Your Experience 10+ years of experience in solution architectu

Forward Deployed Engineer (FDE) Position Overview SingleStore is seeking a Forward Deployed Engineer (FDE) to operate at the intersection of solution architecture, technical delivery, and customer partnership. This role combines elements of a solutions architect, technical account manager, and solution engineer, with a strong emphasis on execution. As an FDE, you will serve as a trusted technical advisor and sounding board for customers, helping them design, implement, and scale real-time data solutions using SingleStore. You will work closely with customers to understand their business objectives, translate them into technical strategies, and drive those solutions into production. This role requires a delivery mindset, strong technical depth, and the ability to lead both strategic conversations and hands-on execution. Role and Responsibilities Partner directly with customers to understand their architecture, use cases, and business goals, and translate them into scalable technical solutions. Design and implement end-to-end solutions integrating SingleStore into existing application and data ecosystems. Lead whiteboard sessions to shape ideas, define architecture, and convert concepts into technical specifications and execution plans. Act as a proactive thought partner, bringing ideas and guiding conversations rather than reacting to requirements. Own delivery of high-impact initiatives from concept through production, ensuring successful outcomes. Provide hands-on support, including troubleshooting, optimization, and applying pragmatic solutions or fixes when needed. Collaborate closely with Sales, Solutions Engineering, Product, and Engineering teams to align customer needs with product capabilities and roadmap. Help customers prioritize and operationalize their data initiatives, balancing ambition with practical delivery. Feed insights from customer engagements back into Product and Engineering to influence roadmap and improvements. Your Experience 10+ year

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE The OEM Solution Architect is the technical counterpart to the OEM Growth Product Manager, responsible for the technical architecture, integration, certification, and lifecycle management of Everpure’s most strategic OEM relationships, including but not limited to Telco, Healthcare, and AI Infrastructure . This role owns the end-to-end technical solution lifecycle between the OEM, relevant third-party technology alliances, and Everpure — ensuring joint offerings are architecturally sound, interoperable, and built to scale. Reporting into the Everpure Solutions Engineering organization , this role partners closely with the OEM Growth Product Manager in the Enterprise Line of Business — who owns the programmatic, commercial, and operational dimensions of these relationships — to translate partner and end-customer requirements into validated architectures, drive certification and interoperability, and ensure technical roadmap alignment across Engineering, Product, and Alliances. WHAT YOU'LL DO Own OEM solution architecture: Serve as the primary technical owner and liaison between OEM partners, third-party alliance partners, and Everpure. Manage the end-to-end solution lifecycle: Own documented reference architectures that integrate Everpure storage with the full-stack components required by each OEM solution. Lead certification and interoperability: Drive technical certification and interoperability testing with OEM

About the Team Help us build the world's most reliable, on-demand logistics engine for last-mile delivery! We're bringing on experienced engineers to help us create and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role We also offer “cloud solutions engineering”: we unblock teams across DoorDash with novel or complex cloud needs, from multi-cloud deployments and cross-cloud credential vending to multi-region sFTP. You will partner directly with teams across the company to take a need from an ambiguous request to production, and mature the most common ones into platform products that can be adopted widely. This role sits at the intersection of cloud infrastructure, security, and developer experience. It includes designing, building, and operating systems that must be reliable, secure, easy-to-use, and cost-efficient. You will report to the Engineering Manager of the Cloud Infrastructure team within the Infrastructure organization. This role is hybrid working from our New York City engineering hub. You’re excited about this opportunity because you will… Design and build the foundational cloud platform (account vending, IAM, cloud networking primitives, quotas, infrastructure as code) that every engineering team at DoorDash builds on top of Own the paved path for cloud at DoorDash: make the secure, cost-efficient way the easy way through self-service tooling Partner with product and platform teams to unblock complex or novel cloud use-cases, and turn the recurring ones into platform products Drive cloud-wide initiatives such as multi-cloud, unifying cloud foundations across DoorDash, Deliveroo, and Wolt, cost efficiency, and security posture Set technical direction for the team, mentor engineers, and influence cloud architecture decisions across the company Find ways to improve the team’s productivity and operational capabilities through the use of automation, A

About the job Do you think like a management consultant, thrive in a startup environment, and can’t stop thinking about the intersection of data, technology, and marketing? With over 2000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, and Mattel, Artefact is a consulting firm that transforms data into value and business impact. We’ve recently launched in the US with offices located in NYC and Los Angeles, and we want you to join us as an integral part of our founding team! Who We Are Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel. We have 2000 employees across 36 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe. Find out more at artefact.com . What you will be doing You will lead a team of AI & machine learning engineers and managers, driving the design and delivery of production-grade AI solutions — from classical machine learning models to LLM-powered applications — and the pipelines that power them. You’ll bring senior technical judgment to architecture and model decisions, partner closely with clients and business stakeholders — including hands-on pre-sales work shaping pr

About the job Do you think like a management consultant, thrive in a startup environment, and can’t stop thinking about the intersection of data, technology, and marketing? With over 2000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, and Mattel, Artefact is a consulting firm that transforms data into value and business impact. We’ve recently launched in the US with offices located in NYC and Los Angeles, and we want you to join us as an integral part of our founding team! Who We Are Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel. We have 2000 employees across 36 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe. Find out more at artefact.com . What you will be doing You will lead a team of AI & machine learning engineers and managers, driving the design and delivery of production-grade AI solutions — from classical machine learning models to LLM-powered applications — and the pipelines that power them. You’ll bring senior technical judgment to architecture and model decisions, partner closely with clients and business stakeholders — including hands-on pre-sales work shaping pr

ABOUT PROPRIETARY RESEARCH On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within. WHAT YOU'LL DO Senior Data Engineers on the Proprietary Research team design and build solutions that enable investment professionals to effortlessly extract insights from large, complex structured and unstructured data sets. As a senior member of our Data Engineering team, you will help set technical direction and work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of Point72’s data assets. In this role, you will: Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery Build out cloud-based infrastructure using distributed techniques for other data engineers / data scientists / researchers Be at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof of concepts evaluations of new technologies Build and support visualization and exploration capabilities around our big data sets WHAT EXCITES YOU Technical leadership through hands-on development Having a broad impact on architecture and team processes Transforming

We're looking for a senior technical consultant who thrives across the full arc of a complex technical engagement, from pre-sales scoping and architecture through hands-on delivery and handoff. As the sole Technical Services presence in EMEA, you'll work with our most strategic enterprise customers to design and implement custom solutions on the Asana platform, partnering closely with Account Executives, Solutions Consultants, and Customer Success Managers to move deals forward and deliver with excellence. You'll write code, shape architecture, and engage directly with IT and business leaders, bringing the same rigor, standards, and craft that define Technical Services globally to every engagement you run in the region. In the pre-sales motion, you'll partner with AEs and SEs to assess technical feasibility, define scope, and shape deal strategy for complex enterprise opportunities. In the post-sales motion, you'll own delivery end-to-end, designing and building scalable solutions using the Asana platform and third-party APIs, advising customer engineering teams on integration architecture, and helping customers unlock new value through AI-powered workflows, data migrations, and custom automation. You'll work alongside Implementation Managers to coordinate delivery, align on project milestones, and ensure a seamless customer experience from kickoff through close. You'll operate as a high-trust extension of the global Technical Services team, bringing a sharp customer-centric perspective from EMEA back to the central practice and contributing to how we evolve GTM offerings, delivery frameworks, tooling, and the Asana developer platform. A core part of this role is establishing consistent, globally-aligned ways of working across EMEA, applying the same playbooks, delivery standards, and engagement practices that define Technical Services everywhere. This role is based in our Dublin office with an office-centric hybrid schedule. The standard in-office days are Monday,

We are seeking a highly skilled and innovative Lead Salesforce Developer to join our dynamic team. The ideal candidate will possess deep expertise in Salesforce development, Integration, architecture, and a proven track record of implementing intelligent, self-optimizing systems. This is a unique opportunity to shape the future of our customer engagement and operational efficiency using cutting-edge technology. As a key member of the Business Technology and Transformation (BTT) team, this Lead Salesforce Developer will partner with Product Managers, architects, and engineering leadership to architect and deploy cross-engineering solutions. You will play a foundational role in executing Toast's strategic roadmap, driving the platform's evolution through technical excellence and forward-thinking innovation. Key Responsibilities Salesforce Architecture & Development: Lead the design, development, and implementation of complex, scalable solutions within the Salesforce platform (Sales Cloud, Salesforce CPQ, Service Cloud, etc.) using Apex, Lightning Web Components (LWC), Visualforce, and other Salesforce technologies. Salesforce CPQ configuration and implementation.Deep understanding of the nuances within the Quote-to-Cash domain. Salesforce Integration Patterns and technologies for integrating with upstream/downstream systems Technical Leadership: Mentor and guide a team of Salesforce developers, conducting code reviews, establishing best practices for Design and Development, and ensuring high-quality, maintainable code. Lead troubleshooting exercise for complex issues Collaboration: Work closely with Product Managers, Business Analysts, and Stakeholders to translate business requirements into technical specifications and deliver innovative solutions. Deployment and Governance: Manage release cycles, deployment processes (using tools like Azure DevOps, GitLab, or Copado), and maintain platform health, security, and governance standards. Stay Current: Continuously re